[1] Optimizing the Patient’s Experience

AI helps to enhance a patient’s experience by introducing upgrades like Electronic Health Reports (EHRs), insurance assistance tools, and virtual assistance apps. These apps understand the patient’s issues and respond with relevant information. Tools like EHR can store and extract information regarding the patient’s healthcare history for – the doctors to analyze, or, insurance claim companies to validate and provide a smooth claim procedure.

[2] Providing Assistance to the Healthcare Professionals

Medical professionals attend to an enormous number of patients every day, and it gets worse in areas with a deficit of doctors in comparison to the population. AI solutions aim to help these medical professionals by providing all the necessary tools for diagnosis as swiftly as possible. AI-backed medical diagnoses allow doctors to attend to more patients each day to somewhat tackle this non-favoring ratio.

[3] Managing Paperwork and Inventory-Related Tasks

Various AI technologies collectively automate a significant chunk of the administrative and bookkeeping operations within a medical establishment. Tasks like – filling out a form, deciphering prescriptions, keeping track of inventory, and much more can be automated with the use of AI, further enhancing the medical cycles.

[4] Research and Drug Discovery

Besides enhancing the patient journey and associated operations, the use of artificial intelligence in healthcare is also well known for enhancing the rate at which medical research is conducted. It speeds up the various testing iterations by predicting the outcomes, in case a sufficient amount of relevant data is available.

[A] Early Detection

Machine learning-based AI models can be constantly trained using archived and new reports. First, the personal information is removed for privacy. Later, the symptoms are mapped with the diagnosed issues. The intent here is to train the AI model to allow analysis and pattern identification between the symptoms and the issues. Once that information is extracted, it can be used to identify the possible issues more accurately and with fewer tests.

When this model is used on a new patient, and the observable symptoms are fed to the medical AI model, it can predict the presence of an underlying issue based on the historical data present. Medical professionals can refer to these possibilities and prescribe relevant tests. The reports will either clear off the possibilities or detect the issues at a very nascent stage.

[B] Vaccination and Other Research

Simply put, AI can go through millions of possible combinations to find out the most optimal medical composition or antigens that generate the desired response from the test subject. Further, it assists during the testing phase of a newly discovered vaccine by shortlisting the best possible candidates to perform the test upon, along with analyzing the data to generate insights.

Traditionally, researchers had to develop thousands and thousands of pre-clinical samples to produce a single vaccine that could be approved for human implementations. The process in itself would take decades on an average which is catastrophic in case of a life-threatening outbreak. Not to mention the hundreds of millions needed for the development. (Source: PWC)

With the introduction of AI to this procedure, the goal is to bring the development cost and time down, mitigating a major chunk of the impact.

[C] Diagnosis

We briefly discussed the benefits of using AI medical diagnosis concerning early issue detection, but that’s simply a small section of AI’s complete diagnosis capabilities. Doctors leverage AI to perform several additional diagnosis operations, including –

1. Image Analysis: Visual medical reports like X-rays or Ultrasounds often have several insights, some of which could be missed if analyzed manually, this is where AI technologies like computer vision are leveraged to yield more accurate results.

2. Medical History Summarization: Medical reports can be extensive, and a lot of the information might not be relevant to the ongoing diagnosis. An NLP-enabled AI model trained to summarize medical reports & highlight relevant information for the ongoing diagnosis area can come in very handy in such scenarios.

3. Remote Diagnosis: Telemedicine applications have become a convenient option to diagnose normal symptoms remotely and prescribe medicines for the same without any need for a physical appointment.

[D] Treatment Support

If you thought AI was simply assisting with the monitoring and analysis-focused tasks with no contribution to the actual treatment, you would be wrong. The use of AI medical robots has observed some dramatic improvements in the last few years.

Using an extensive roster of AI-based technologies like computer vision, deep learning, RPA, and machine learning in healthcare, enables bots to – assist doctors across laboratory testing and surgical procedures, or, to perform entire surgeries by themselves with the supervision of a healthcare professional.
Post-procedure mandates like observing vitals and therapy sessions also observe a significant contribution from AI-enabled machinery.

[E] Optimal Data Storage and Extraction

The total medical data available globally is vast and unorganized for the most part. Making it impossible to gain insights from it using traditional data analysis/extraction methods. AI comes in clutch here to provide an efficient way to scour through vast databases within seconds to extract the necessary information.

Furthermore, the implementation of AI in healthcare also prompts the restructuring of the scattered datasets to streamline the information. The most accurate example would be the use of EHRs we briefly mentioned. It stores the patient’s details in a structured format, which is then stored in the database with the necessary labels. This data can be used to directly gain the patient’s information, or can be used for analytics using these labels.

[i] Data Privacy

Organizations have historically been caught notoriously asking for more information than necessary for the sake of data analytics and surveys. This stands as a direct violation of the patient’s privacy. AI models might be at risk of following these footsteps, which is why regulatory compliances like HIPAA and GDPR have been a compulsion across medical applications across the US and the UK.

[ii] Bias

For an AI medical diagnosis to be accurate and reliable, it is crucial to train the data using an unbiased dataset with an equal distribution of entries across all possible outcomes. Easier said than done, in most cases if the medical organization is using their personal data, there will inevitably be a certain level of bias given the information will be limited to either a specific demography, age group, or ethnicity (maybe all of the above).

[iii] Misinformation & Reliability Concerns

It is a byproduct of the previous point. Not using proper datasets of training leads to the model providing inaccurate results and prescribing inaccurate medications. This can cost the medical organization a major setback, thus the issue should be acknowledged and resolved immediately.

[a] Planning

Once you have your basics accounted for, it is time to lay the foundations by mapping the primary pain points of the healthcare organization and the related features being built in the AI model to fix those issues. The aim is to brainstorm and collect every single use case necessary, including the modules and the integrations to basically scope and bind the entire project, mitigating the changes of any surprise work creeping in that may influence, or rather inflate, the development costs.

Once the brainstorming is completed, a BRD is generated along with a quote that is agreed upon by the clients and the development team. This BRD is adhered to until the end of the project and is a representation of the agreement between the two parties.

[b] Design and Development

For designing a healthcare solution, it is essential to keep into account the entire user base of the AI model and the associated application it aims to serve. The application’s UI should resonate with these values. Being intuitive and simple, with a very organized look and a straightforward user journey, has to be the basics of the software’s designing phase.

Next up comes the development of the AI model and the corresponding user application. The back-end and the API structure are built according to the BRD and the progress is well documented by the developers for future reference. Relevant security measures are also implemented to ensure the user data is secured and not vulnerable to any external attacks.

[c] Testing and Success Rate Analysis

Once the development is completed, the model is initially tested by the developers and then handed over to the quality analysts (QAs). They test the application extensively from a technological standpoint, if an issue is detected, a ticket is raised for the development team. The development team identifies the issue and resolves it for the QAs to test once again. A typical software development cycle will complete the development cycle at this point or might go for alpha or beta phases directly.

However, testing a healthcare AI model needs to prove itself on the clinical level as well. Once the application clears all the functionality checkboxes, it is tested on a significant sample of patients to check its reliability and accuracy. If the model generates satisfying results, it is sent to the next phase. If it fails to do so, it is sent for another cycle of brainstorming and improvement.

[d] Monitor and Maintain the Cloud Infrastructure

After the clinical testing approval, the application is pretty much deployed to the end users as soon as possible. From the development standpoint, this marks the end of the cycle, however, the development team is still kept in the loop for any post-migration issues that may emerge. 

The developers are typically offered a small percentage of the project cost annually to perform scheduled maintenance checks and to be available on cue in case any architectural or other issue disrupts the application's ideal flow.

[e] Scale Up Whenever Necessary

The foundations for this step are laid from the very beginning of the development phase, almost every AI model is built to process the requirements of a certain scale initially, hoping to expand its capacity as and when the demand increases. And the healthcare AI models are no different.

Cloud infrastructure has made scaling significantly easier for developers as they always have the option to purchase more computing power and leverage it to address the demands of a higher number of users. The cloud computing services typically provide the option to scale both vertically and horizontally. Where horizontal scaling means increasing the number of servers and vertical scaling means increasing the computing power of the existing servers.

[A] Top 5 Advantages of Angular

1. Dependency Injection: Makes the code loosely coupled and easier to test. It also manages the lifecycle of dependencies, reducing the need for repetitive codes.

2. TypeScript: Angular has a static typing feature that allows developers to improve the code quality and spot errors in the compilation stage itself.

3. Command Line Interface: Optimizes multiple tasks around a development lifecycle including development, project management, and deployment.

4. Server Side Rendering: Massively helps with the on-page SEO by reducing the page load times. This is made possible by loading the initial HTML content on the server itself instead of the user’s device.

5. Reusable Content: Angular leverages custom attributes called directives that allow the creation of reusable components, optimizing the development process.

[B] Limitations of Angular

1. Ecosystem Dependency: The Angular framework relies heavily on its compatible libraries and tools. Although sufficient in most cases for development, this can limit the flexibility and create compatibility issues for the application.

2. Complexity and Learning Curve: While the benefits do enhance the development experience by multiple folds, they also add an extra layer of complexity that might be difficult for new developers to adapt. 

[A] Top 5 Advantages of React

1.Virtual DOM: To implement the previously mentioned declarative approach more effectively React uses a virtual DOM that constantly compares the current and desired states to update the actual DOM. This minimizes any unnecessary re-rendering.

2. JSX Compatibility: This is a quality-of-life enhancement for developers as it allows better code readability and maintenance by combining JavaScript and HTML elements into a single syntax.

3. Flexibility: React is considered to be a flexible option given it supports integration with other libraries and frameworks. Having said that, versatility in your tech stack promotes the usability of this library across a wide range of project scales.

4. One-Way Data Binding: React ensures that the data flow occurs in a predictable manner which makes it easier to identify state changes or detect bugs within the solution.

5. Cross-Platform Development: The presence of React Native, a mobile app development framework, allows the developers to transition from web to mobile development seamlessly.

[B] Limitations of React

A. SEO challenges: React is heavily inclined towards client-side rendering. This often slows down page loading speeds, obstructing optimal SEO practices.

B. Developer Preferences on JSX: While we measured JSX as a benefit, for some developers who are used to dealing with the two separately, JSX becomes a complex endeavor.

C. View Layer Focus: Unlike the other framework options available, React needs the integration of other libraries to enable the back-end functionalities within an application.

Pick the Angular framework if

1. The plan is to build a complex application on an enterprise-level scale with the necessity of a consistent framework.
2. The project has to follow a strict architecture, a common situation while developing applications in the medical / finance industry.
3. The application has real-time data update features or collaborative functionalities that need two-way data binding.
4. The plan is to build a solution with minimum external integrations to maximize security and compatibility across modules.

Pick the React framework if

1. The application’s priority list has a robust UI at the very top, commonly observed in e-commerce, social media, and streaming applications.
2. The plan is to build a cross-platform application that can leverage React.js for the web app part and React Native for mobile app development.
3. The project is set to have multiple iterations of requirements and could use the leeway of having the option to integrate additional functionalities.
4. Your software is heavy on the SEO end, React’s server-side rendering coupled with other relevant back-end frameworks works quite well here.

[1] Digital Therapy

The client can book a session using the application based on the therapist’s availability. They can then hop on a video conference to go through their routine.

[2] Remote Diagnosis

The patient can mention the symptoms they have been noticing based on which the application’s chatbot follows a decision tree and decides whether to diagnose the issue itself or consult a doctor.

[3] Discuss Progress / Prescription Updates

After an offline session, the patient can remotely share updates with the doctor and ask for any changes in the prescription without the need for any additional visits.

[A] Convenient Access To Doctors

A traditional visit to the doctor’s clinic might force a patient to spend hours in the lobby waiting for their turn, even after booking an appointment weeks before. And let’s be honest, nobody wants to go through that! Telehealth apps become a life savior in this scenario, as the patients are neither forced to take a day off from work, nor waste one of their precious weekends over this. Plus, even if an appointment gets delayed for some reason they can simply reschedule it to their next calendar opening without any major hiccups!

[B] Cost Effective In Comparison to Traditional Methods

Another major factor that prompts patients to avoid medical checkups is the cost of a single appointment. Shifting to a telehealth app by leveraging telemedicine app development services takes off a significant amount of the service provider's overheads, like the facility space allotment and accommodation costs. Patients also save on travel expenses while enjoying greater options! For instance, if a patient in the UK wishes to consult a doctor who earned their MBBS in USA, Japan, or another country, they can simply book an appointment online and skip the flights. Looking at the shift in the approach of healthcare checkups, insurance companies have also started covering the cost of online consultations. Taking away yet another advantage of offline checkups.

[C] Easy Diagnosis For Remotely Located Patients

Several parts of the world still lack access to proper medical infrastructure in their local areas. They need to travel for hours for any health-related assistance. Now imagine a patient traveling for hours for a weekly checkup, reaching the clinic, and waiting for hours again. Telemedicine apps take away a major chunk of this baggage. The patient might still have to travel a few times for any major operations or tests, but traveling for regular check-ups can be completely dodged.

[D] Readily Available EHRs For Doctors

Having an EHR linked to every patient comes in handy in situations when doctors are attending patients continuously, they can quickly scan through their records before any recommendations to mitigate the room for any errors. It also acts as a handy way to update every patient's medical record in a standardized format, making it easier to refer to in the future instead of juggling through reports and prescriptions, which was the situation for a long time.

[E] Simultaneous Consultation is Possible

Using telemedicine applications, doctors attend to a higher number of patients daily. In some cases, doctors can club patients with similar symptoms in a common meeting and consult multiple patients simultaneously, on the flipside patients get quick recommendations for their non-chronic issues. As impressive as it sounds from the revenue angle, for parts of the world where the medical workforce is insufficient compared to the demand, this efficiency boost lands as a blessing.

[i] Ideation

Like every successful software, telemedicine app development requires a thorough understanding and planning of the approach and the technologies that need to be leveraged to get the best outcome from this endeavor.

[ii] Designing

Building an intuitive and easygoing layout has to be one of the highest priorities, mainly because the application will be leveraged by a vast demographic of users. If the approach is sub-optimal users may struggle to navigate through the application. It’s important to keep the instructions clear and the language as simple and basic as possible.

[iii] Select APIs

Thanks to the availability of dedicated telemedicine APIs, the developers do not have to build every single functionality from scratch. With enough research and a thorough understanding, these APIs can cut down the development time to a fraction of what the development time otherwise would have been. There are specific APIs that fit in a bunch of different use cases, we will be discussing them in an upcoming section.

[iv] Check Compliance

Speaking from experience, working on a product for the healthcare industry cannot afford any hint of slacking in the compliance area. Which is where compliance with the essential guidelines becomes a necessity. Some popular compliance checks include –

1. HIPAA or Health Insurance Portability and Accountability Act
2. GDPR or General Data Protection Regulation
3. FDA or Food and Drug Administration
4. HITECH or Health Information Technology for Economic and Clinical Health
5. And other globally acknowledged & local regulatory checks.

[v] Development

With the due diligence completed, the developers start building the architecture and functionalities as per the discussed guidelines. The project is typically completed in different phases or milestones. At the end of each milestone, the clients test the progress and discuss any queries they might have, upon clarification, they give the green signal to start the development further.

[vi] QA and Testing

Once the development is over, the telemedicine app is handed over to the quality assurance team. They thoroughly check the solution across several test cases, to identify any possible issues with the application. If identified, the issue is promptly reported to the development team for a swift fix. Once resolved, the solution is double-checked before closing the ticket. Once all the raised issues are resolved, the product is officially ready to be delivered to the end users.

[vii] Deployment and Maintenance

The finished Telemedicine application is launched to the end users. In most cases, medical organizations want the application to reach as many users as possible, so Google‘s Play Store & Apple’s App Store are the ideal platforms for deployment. If the application also has a web version, a specific domain is assigned to it. Once the end users start using the application seamlessly for the first time, the development phase is officially over. The clients still have the option to keep the developers on-cue for scheduled maintenance by paying them a percentage of the development cost annually.

[a] Downloading / Visiting the Application

Once the clients get to know about the application, ideally, they would either download it from the respective app marketplace of their mobile’s OS or they would access the web application with the link provided to the domain.

For the mobile, the application page on the marketplace should describe the product in a concise but clear way. Also, it is important to make sure the reviews/ratings for the application are above 4.0 out of 5 stars. This should be the baseline for any telemedicine application.

For the web application, it is crucial to evaluate the overall SEO of the domain and make it easily accessible to the users without any crashes, or inflated loading times, leading to high bounce rates. These high bounce rates are a disaster for an application trying to gain new users and will inevitably shed away a major chunk of initial opportunity. Google’s Pagespeed insights and Search Engine Console can be a great help to uplift the SEO game.

[b] Logging In

The next standard flow in the procedure would be to get them to register as a user. Keeping the pages simple and precise should be the main focus. The application should not ask for a lot of information before offering anything to the customer. This may build up a level of frustration that may lead to form abandonment. Getting these users to come around for a second attempt will be difficult.

The best approach here would be to let them log in to the application with basic credentials like email and password (verification if necessary). Once they’re in, they will be exposed to the services that they can avail. Now when they try to access these services, the application can ask for the necessary additional information, being eager to try out the services, the chances of them abandoning a form, become significantly lower.

[c] Initial Symptoms Checkup

Once the due diligence is over, the patients are prompted to go through an initial symptom check-up to let the back end perform its diagnostics. Based on the inputs, the backend logic filters out the issue(s) the patient might be facing. In certain cases, the issue is simple and can be identified and prescribed for by the backend logic. However, when the issues cannot be determined or there is a certain degree of ambiguity, the patient is advised to book an appointment.

Some medical organizations leverage AI for the initial symptom diagnosis, while others rely on their proprietary logic. Whatever the approach might be, it is always advised to run the diagnosis through an actual doctor for approval before prescribing the patient any intense medication or antibiotics.

[d] Booking Appointment

Upon the patient’s consent, the application checks through various predefined fields to find the right healthcare expert for the patient, based on the type of issue, the doctor’s expertise, the patient’s address (in case a physical visit was required), availability of both parties and much more.

Once confirmed, the application then provides the patient with reminders about their appointment. It is crucial, as they are not visiting the clinic and are ideally attending it in between their daily busy routine.

[e] Connected To a Doctor For Diagnosis

Once connected to the doctor, there are typically two ways the appointment can go –

1. Based on the report that the application has generated, the doctor performs their own diagnosis. They may ask some additional questions with obviously a much higher level of intricacies and understanding of the situation. If that is enough to diagnose the issue, the doctor prescribes the needed medications.
2. Otherwise, the doctor recommends certain tests that might help them to get to the crux of the situation. The doctor can also ask the patient for a physical visit if needed. This is where the matchup during the appointment booking process comes in handy.

[f] Payment

The positioning of the payment phase depends on the organization's preference, some companies prefer to keep this as a mandatory requirement before the appointment, while other organizations ask you to clear the owed amount before generating a copy of the prescription, or before providing the option to schedule a second appointment.

Regardless of the position, the payment process has to be seamless, and to ensure that the application must provide multiple options for the users to make their payments. All backed by reliable payment gateways to guarantee data security and a seamless payment experience.

[g] Relevant Medication Delivered

The next step in the flow mainly occurs outside the application. A copy of the prescription that was sent to the patient is also sent to the telemedicine application’s pharmaceutical partner, along with the necessary information about the customer. The partner then creates a delivery ID and sends it to the telemedicine application and the patient. The prescribed meds are then packed and shipped to the patient’s address.

On the application, the patient can track the shipment and get updates. Depending on the network of the telemedicine application and its tie-ups, the delivery can take anywhere between a few days to a few minutes. Depending upon the e-commerce and quick commerce distribution of the collaborating pharmaceutical companies.

[h] Follow-Up Checks

After a decided time frame. The application finally prompts the patients for an update on their health via notifications or a simple call. If the response hints towards them being fully recovered, the application can ask for concluding feedback. In other situations –

1. Improved health but not entirely
2. No progress whatsoever

The app suggests scheduling another appointment so that the doctor can further diagnose the situation and make decisions accordingly.

[1] Business Website

Think of your business’s front door and address, a business website is the digital version of it. Having a website is one of the rudimentary and arguably the most important steps towards taking a business online. All your marketing campaigns, cold outreach attempts, and SEO optimization aim toward getting your intended audience on the website.

Once they are on the website, the goal updates to take the visitors through a user journey – from landing to conversion. To maximize the chances, businesses showcase their products/services along with their expertise, USPs, testimonials from previous clients, and a bunch of additional KPIs. The primary objective always stands to convince the visiting audience to get in touch with the business, eventually converting them from a lead to a potential customer.

Depending on the type of your business, the overall journey and the time to convert a lead into a customer may widely differ. Even if they do not convert into a customer, the data they leave behind can be converted into valuable insights to help you refine and optimize your website.

[2] Customer Relationship Management (CRM) Model

The success of a business is more or less defined by the number of leads it can convert into revenue-generating customers. However, there’s an additional angle that needs to be addressed to truly ensure success, and that is retaining these customers to create a recurring cash influx for the business.

Implementing a CRM solution allows your business to streamline most of the customer-related concerns coming from different channels into one centralized module. This allows the business to track customer behavior, segment potential customers into categories to make marketing more refined, track their overall performance, and much more. Everything combined allows the business to boost customer satisfaction rates exponentially, increasing the chances of retaining customers for a longer timeframe.

However, realistically, a CRM single-handedly cannot guarantee better retention rates. Depending on the exact business model and the type of products/services being offered, there could be several additional strategies and factors that need to be considered. For example, in the case of high capital offerings, retaining a customer might be slightly trickier compared to a low-markup or subscription-based product.

[3] Payment Processing Tool

Here’s a horror story for you entrepreneurs, a customer lands on your business website, goes through the entire user journey, and absolutely loves the product as it aligns perfectly with their needs. The customer is convinced to purchase the product and goes to the payment window, only to find out that the business only accepts payments from a specific channel that the customer does not have. Disappointed, the customer decides to leave the website and continue with their day, or worse, start checking out the competitors’ offerings! A true nightmare right? 

As an entrepreneur, it is important to capitalize on every single opportunity possible. Missing out on potential customers due to simply not having a proper payment processing tool in place is disastrous. It is important to prioritize customer convenience throughout the time they spend on the website, especially when they are trying to make any sort of purchase. Having a payment processing tool that supports multiple payment methods could be a game changer.

Even in the website’s UI, the payment option should always be highlighted to make sure that it is always on top of the customer’s head (but make sure it isn’t obstructing their experience). Any legal compliance related to online payment should also be handled and all the necessary security measures should be adhered to so that the users feel comfortable while making a payment without the fear of their data getting into the wrong hands.

[4] Inventory Management Software

It is quite impossible to scale a product business without robust inventory management software after a certain point. For example, inventory management software helps track stock levels, manage reordering processes, optimize supply chains, etc. This maximizes the profitability of a business by maintaining a balance between procurement of materials while trying to avoid overstocking. A higher inclination on either end may result in unsatisfied customers or clogged working capital channels. In case your materials are perishable, you might have to book straight-up losses in the coming days.

Previously, businesses were forced to spend hours behind inventory after the closing hours to track the sales and check each product to decide whether to restock it or wait for another cycle. This entire process was scrapped with the introduction of smart inventory management software, which not only keeps track of every single item that goes in and out of the warehouse or store but also automatically recommends the restocking of specific items based on prior data of change in demand patterns from prior years.

[5] Analytics Systems

At the surface level, investing in an analytics system may seem like an unnecessary layer of added complexity, but that is far from the truth. Running a business is not simple, there are so many factors to account for, while simultaneously trying to figure out the best possible approach that helps with the upcoming challenges.

Oftentimes you would be juggling multiple metrics trying to correlate various datasets to try and make sense out of them. Keeping track of it all manually does not make sense, instead, having an analytics system that collects and stores various vital business metrics can come in handy to store and extract data as required.

Taking it a step further, businesses integrate AI within their analytics systems, as it is one of the most popular emerging technologies for business. This enables functionalities like predictive analysis where the model could automatically generate insights about the upcoming market trends based on the historic data stored.

[6] Third-Party Integrations

Many first-time entrepreneurs are under the impression that they will be paying for the development of every single feature from scratch. Well, that is certainly not the case, the good thing about software is, once built, it can be replicated and licensed/sold to other businesses. This allows the buyers to save on the development cost and simultaneously get the benefits of features they wanted in a near-perfect sense.

Some of the technologies that we discussed previously can be integrated within your business software using the same method, saving a ton of development time and business resources. For example: Stripe and PayPal are some popular payment processing tools that provide their APIs that allow developers to integrate these technologies. Even CRM models can be integrated externally by tying up with brands like Zoho and Salesforce to provide your business with the necessary features.

Many businesses choose to opt for these third-party integrations in the early stages of their business and it works out for them. They are limited to functionalities that serve the masses, if your business is starting with an extremely unique proposition, developing the necessary verticals from scratch might favor your business better in the long run.

[7] Industry-Specific Software Needs

Certain industries have specific requirements that are not practiced in any other field, tech-enabling these practices has revolutionized many industries over the last few decades and it is only growing with emerging technologies being introduced in businesses across the market quite frequently. We will be getting into further details in an upcoming industry-specific section.

The learning curve of these technologies for the employees might seem like a concern because everyone does not come from a technological background, and it’s right to think in that direction. However, companies offering these services offer guides and make the technology extremely intuitive, making sure anyone can use it with minimal training.

[8] Custom Software

Most businesses work with standard integration services and off-the-shelf solutions available in the market. However, a small domain of entrepreneurs has requirements that cannot be fulfilled by any of the software available. At this point they can opt for one of the options available – 

1. Compromise and completely give up on the niche functionalities they were willing to leverage.
2. In case your requirements do exist but not in a single service, a development partner can use multiple modules to build a solution that covers all of the required functionalities.
3. The final option is to invest in a custom software solution that is built keeping your exact requirements in mind.

No doubt custom software seems to be the most effective solution of them all, but what is the best scenario to use it largely depends on the intent of the entrepreneur. If the goal is to simply automate the regular tasks, going for a custom solution might not give you a satisfying ROI.

However, if you’re looking to disrupt the market with functionalities that set your business apart from the crowd, then custom software should be a no-brainer for you.

[A] Healthcare

1. Drug Discovery: Technologies like machine learning have amplified the rate at which the testing and research of drugs are conducted, reducing the time required to discover a new drug significantly.
2. Electronic Health Records: A patient’s detailed medical history is extremely crucial to provide them with the best diagnosis possible. The medical industry is using blockchain technology to store patient’s health records in a secure and easy-to-access environment.
3. Surgical Assistance: Robotic technology has now become advanced enough to conduct surgeries on human bodies under the supervision of an experienced doctor. However, it is speculated that soon there will be no need for monitoring and these robots will conduct some of the most complex surgeries with ease.

[B] Retail

1. Self Checkouts: This allows the customers to check out the items they bought without the assistance of a cashier saving them from standing in a line for hours. An enhancement to this technology is in the works where the customers can simply buy an item and walk out of the store and the amount will be automatically debited from their account.
2. Electronic Labels: The items tagged with an e-label can have dynamic pricing that can be controlled remotely by a supervisor, or it can be integrated with AI to check various metrics and competitor pricing and adjust the price of each item dynamically.
3. Store Planners: Walk-in supermarkets have multiple aisles and shelves but the items are not stocked randomly, there is a whole backend that works towards analyzing the placement and its impact on customer’s purchasing behavior. This data is then used to optimize product placements to maximize sales.

[C] Media and Entertainment

1. Streaming: Allows real-time audio and video delivery over the internet. It has become very popular, especially with the younger generation, leading to the launch of some streaming platforms like Twitch, along with gigantic companies like YouTube participating in the streaming culture as well. 
2. Media Editing and VFX Tools: Be it a regular guidelines check, or creating entire virtual environments from scratch, most of the media available online is edited to some extent. Over the years, the capabilities of these VFX and media editing technologies have improved to a point where differentiating between real and virtually created objects is a challenge.
3. Role of AI in Entertainment: From content recommendations based on the user’s viewing habits on platforms like Netflix and Spotify to creating media content from scratch to speed up the work of certain movie studios, AI has been a game changer boosting the user experience and productivity akin.

[D] Manufacturing

1. SCM or Supply Chain Management Platform: It is essential for a manufacturing business to handle a large exchange of materials and products daily. Having centralized software to monitor several crucial supply chain-related information like inventory status, product shipping updates, and analytics for upcoming trends, allows stakeholders to make decisions more effectively. 
2. IIoT or Industrial Internet of Things: creates a network of sensors and other connected devices deployed in a manufacturing environment, they record various necessary information and feed it to a central software that is like a part of the SCM, the data is then evaluated for taking necessary actions.
3. CNC or Computer Numeric Control: Ever seen those giant industrial robot arms on a production line assembling anything from a small bag of chips to entire cars? It is fascinating to see how precise these arms are with their movements, and the entire credit for controlling them goes to the CNC technology. It uses machine learning and certain special programming infrastructure to guide these machine arms to operate.

[E] Transportation

1. Autonomous Vehicles: Possibly one of the most trending technologies in the transportation industry right now. Although the concept of autonomous vehicles has been around for a long time, Tesla released their first commercial self-driving car in recent years and it took over the market by storm. Using AI technologies like machine learning, deep learning, and computer vision these vehicles can navigate through busy traffic without the need of any human interference. Companies are looking to expand their use cases by using them for logistics.
2. Optimal Route Planning: Given there are multiple packages delivered by every single unit, sometimes the delivery location can be across cities. It is really important to set up optimal delivery routes so that all the deliveries can be completed within minimum time and distance. 
3. EV-Centric Transportation: Recent years brought a boom in the sales of electric-powered vehicles. Given its sustainable energy-consuming approach and cheaper fuel prices, consumers are showing great interest in the technology. Looking at the surging demand, several companies have launched their electric vehicles and the infrastructure around it is expanding rapidly, with more recharge stations and service centers emerging every day.

[F] Real Estate

1. Property Valuation: The exact price of a property is difficult to estimate, considering there are multiple factors that shape the exact cost. Using machine learning and predictive analysis, property owners can compare their property to other properties in the area, assess the presence of schools, hospitals, and other essential infrastructure nearby which impacts the cost of the property, and make a final decision.
2. Virtual Tours: Several VR service providers enable property owners to create a virtual replica of their premises that potential leads can visit and explore from the comfort of their own home. This largely expands the possible number of prospects willing to check out the property, which may lead to the property owners ending up with a better offer than they otherwise would have.
3. Various Property Management Platforms: In case a property owner is listing multiple properties at once or maybe there are multiple properties on rent that the property owner needs to manage. For such scenarios, dedicated property management tools have been developed, some of which we built ourselves for our clients!

[i] Ideation

It all starts with the entrepreneurs explaining their business goals, that they wish to achieve with the technologies on an abstract level, to the service providers. This is followed by the service providers asking the clients a few questions that further expand on the idea. From an abstract level, the discussion phases into a low-level discussion where the provider tries to understand the nitty-gritty of each module the client wants to integrate. The discussion is not technology-focused, but rather purely focused on the business logic.

Simultaneous to this process, the service provider recommends certain technologies and enhancements that can further improve the outcome of the final solution. Waving a green flag to these suggestions is completely the customer’s call. Once all the initial discussions are completed and the project scope is decided, a BRD is drafted, which is signed by both parties, officially starting the project.

[ii] Designing

Your software needs to interact with your users, whether it be your target audience or your in-house employees, and to make it possible having an interactive and robust UI is an absolute necessity.

The developers start by designing various screens for the software, creating a complete flow interconnecting these pages along with connections to any external pages that might have relevance here as well. The branding and other visual due diligence are also completed in this phase, making the intended product visually ready. However, it is still just a hollow shell, the real work begins after the design is completed. 

[iii] Development

During this step, the developers work with a specified tech stack that is mutually decided by both parties to build the necessary functions and the different software verticals in the most optimal and future-proof way possible. Once the development is completed, these separate modules are interconnected using APIs to ensure seamless data exchange wherever necessary.

Parallelly, any functionality or modules that weren’t built from scratch are integrated as well, using the relevant APIs to save development time without compromising on any of the requirements. Once completed, the development phase is almost over. The developers perform exploratory testing to identify any issues that surface. Once cleared from their end, the product is pushed for testing.

[iv] Testing

The quality control analysts(QAs) scour through every single possible user scenario to identify any possible bugs within the product. If an issue is identified, a ticket is raised and sent to the developers. They promptly resolve the issue and revert to the QAs, for confirmation.

After the QA testing phase is completed, the entrepreneur has two options. Either to deploy the project right away or to go through a few more testing phases commonly known as the alpha and beta tests. Where the product is first provided to the internal employees of the company, followed by releasing the product to a few chosen end-users. 

The primary goal is similar to the previous testing phase, i.e. identifying any possible issues that might have been left out, only this time a larger set of eyes are trying the product out. Once everyone associated with the testing phase is satisfied with the solution, it is finally time to go to the next phase of development.

[v] Deployment

Finally, the developed and tested product(s) with all the necessary integrations is deployed to the final audience and all the users are given access to it. There can be multiple distribution channels for the product, if it is a consumer-serving product the best option is to list it on a relevant marketplace. Instead, if you wish to distribute the product to a specific group of individuals, you can distribute the product link via email.

Once deployed the service providers typically provide a complimentary service for a fixed period (90 days in our case), to make sure the product and the technologies are functioning as intended in the final environment.

[vi] Enhancements and Maintenance

But wait, that's not where the client-service provider partnership ends. Product development is a recurring affair. You cannot simply develop a solution and expect it to provide the same value over time without any upgrades. Sooner or later, either due to a pivot in your business objectives or because of a new technology being introduced in the market, you will feel the need to rework your product.

Even if that isn’t the case and you’re not competing against anyone with your product, simply using it to streamline your business goals without pivoting at all. It is always recommended that you run a maintenance cycle on your product to make sure that everything is working fine from time to time. Most development companies provide this service for an annual fee of a small percentage of the total development cost.

[a] Development Cost

1. Technology integration has high upfront costs, which might hinder the profits of some small-scale businesses, and with more customizations, the cost of development is expected to go up. However, using third-party integrations instead of building all the modules from scratch balances out the costs to some extent.
2. Some service providers demand unreasonably high maintenance costs that might be a problem for some companies. However, we care about our customers and keep it at a minimal 15% of the development cost as an annual maintenance fee.
3. Hidden Costs are rather uncommon, but entrepreneurs should be prepared for it nonetheless. They typically surface when the complexity of a certain functionality is underestimated during the planning phase. Good for you though! In our 11+ years of experience, none of our clients had to face this issue because of our extensive planning protocols and fixed cost and time commitment policies.

[b] Resistance To Change From Employees

1. Organizations face the issue of employees not willing to make changes to the day-to-day routine that they’re used to. When a new technology is introduced, the organization might have to run workshops to explain to the employees the benefits of adapting to these changes.
2. Some solutions are complicated and employees across several industries are not technically sound. This makes them hesitant to try out new technologies in their workplace. However, with appropriate training programs and tutorials/courses, this issue can be tackled with ease.

[A] IaaS

Think of IaaS as leasing a plot of land with the permission to build anything on top of it according to your wish. It gives you the most control over the application but asks for a lot of maintenance and other responsibilities from your business.

[B] PaaS

Taking it a step further PaaS is analogous to leasing a freshly built home with no interiors done, you can work around it and design it the way you like. It allows relatively less control than IaaS but also demands less maintenance in return.

[C] SaaS

Finally focusing the requirements on the exact niche, SaaS is like renting a fully furnished apartment that is made exactly in alignment with your needs. You are just using the space for your operations and are not responsible for any major maintenance by yourself.

[1] Easy Access

SaaS applications can be accessed from anywhere that has an internet connection, this flexibility appeals to a lot of working professionals whose job demands a lot of traveling. It even comes in handy for urgent situations, where a certain task cannot wait until you reach the office, the next day. Without SaaS, work from home would not have been a thing, which is also the reason the growth in SaaS subscriptions has been so high since the Covid phase.

[2] Cost-Effective

A SaaS company saves on infrastructure, licensing, maintenance, and several other overheads, and in exchange, they pay a subscription fee that costs a fraction of what they would be paying in a traditional setup. The vendor providing the SaaS solution is responsible for handling all the extra work, you are only in it to take the benefits in return for the subscription fee. Besides, most SaaS providers give you a trial period to get an initial feel of the service, before paying any amount. So, it’s basically a win-win situation for the subscribers.

[3] Scalability

SaaS makes scalability a piece of cake. You can subscribe to a higher tier to scale up the storage, features, and performance of the SaaS any time you want, even in between subscriptions in many cases. And in case the relevance of the SaaS is diminishing over time, you can scale it down or completely shut it off, without any question. In comparison, the scaling up of traditional software needs several months or year-long development cycles for the users, and scaling down is practically not an option. Scrapping the use of the software after it loses relevance only leaves the company with a heavy total of wasted capital investment.

[4] Quick Development

As mentioned in the previous point, depending on the complexity of the solution, traditional software development can take months or even years to complete. For competitive industries waiting several months for a single feature might take away every opportunity they may have against their opponents. Now to be fair, methods like agile development are helping bring this time down to weeks in the case of specific features, which in itself is a big progress. But it ain’t nothing compared to SaaS applications where you get a pre-existing feature almost immediately, and if it is something new in the industry, the SaaS service providers work night and day to be the first to introduce the feature on their product.

[5] Automatic Updates

Software loses its relevance over time, in order to keep up with the ongoing needs of a SaaS business, traditional software solutions need upgrades over time, which demands additional business resources. In contrast, from a user’s perspective, SaaS does not need any manual updates whatsoever, the service provider handles all of that. This takes away a major chunk of the user’s periodic burden, and this time can be utilized in other productive areas.

[6] Promotes Collaboration Globally

Besides being extremely easy to access, SaaS also enables businesses to collaborate in real-time, multiple users can leverage a SaaS application simultaneously, which means employees do not have to wait for their chance, which maximizes efficiency. Coupling this benefit with the initial point we discussed about SaaS being available globally, makes international collaboration a breeze.

[7] Enhanced Security and Compliance Protocols

To reap this benefit, make sure you’re subscribing to a reputed SaaS service provider, as they adhere to the industry-specific regulations and other regulatory compliances to keep you away from any legal issues. Keeping your data secure from any external attacks is also the service provider’s responsibility – so stuff like data encryption, scheduled backups, and scheduled vulnerability checks are some staple protocols that they follow.

[8] Mitigates In-House Efforts

Maintenance is another aspect that needs continuous efforts from the company hosting traditional software. Even if outsourced to a software development team, it is gonna cost a percentage of the development cost every year. While with SaaS, all of the IT protocols including maintenance, regulatory checks, and quality control are handled by the SaaS service provider’s team.

[9] Low-Skill Barrier

While the smartphone revolution has made the average person more curious and accepting towards technology compared to what it was like a decade ago, it still hasn’t reached a point where they’d be prone to adjusting to a complicated UI. It’s human nature to seek comfort and SaaS applications are built keeping this factor in mind. Their simple and intuitive UI allows employees to quickly grasp the functionalities with little to no training.

[10] Integrations

SaaS is versatile, you can even leverage it with your pre-existing traditional software through the use of APIs. This way, entrepreneurs can gain additional features without going through an extensive cycle of development.

[a] Car Reselling Platform

We built a car reselling platform that let users sell their cars and provide a quote based on the car details entered by the user. Also, a switch to mobile option is provided to the users to seamlessly use the evaluation workflow both from mobile and desktop, even they can pick up an unfinished process from a different device exactly where they left it in another device..Once the quote is generated following the various business logic, the users can review the quote and schedule an appointment. A date- time calendar interface has been built to avoid overbooking. We also enabled geolocation whereby users can get the direction of the car reselling center from their location in real time. For more information: Click Here!

[b] IoT – Device Management and Command Center

We developed a Saas based platform to manage thousands of mobile devices from a single dashboard where we can check the active devices, health status of the devices, the connectivity status, disk usage, form status, reports. Also, backups can be initiated, remote commands can be executed and auto uploaded to server, applications can be released etc. This platform not only remotely manages, controls and commands the device fleet, it also does automated real time analysis of collected data, prepare automated reports, flag anomalies in the system etc. It also remotely updates device softwares, pushes new business logic changes, execute remote commands, raises appropriate alarms etc. For more information: Click Here!

[c] Custom Android OS Manager

Our application runs in the background on those specialized devices to identify if there is any update available for the OS. Before initiating an upgrade, our app also checks essential health parameters (like, battery percentage etc.) of the device to make sure the non-reversible process like OS upgrade completes with 100% success. As the enterprises are also part of various emergency sectors, this application has the provision to schedule / delay the upgradation process at user’s convenient time to avoid creating fatal situations, like medical emergencies. For more information: Click Here!

[d] Media Sharing and Monetization Platform

Using our application, users can create an account and upload files of all sorts ( text / image / audio / video ), convert video files online according to his/ her choice and share the files via email, social media page or a forum. The files can also be downloaded based on certain subscription criteria. Based on plans they subscribe for, they get different level of storage quota for storing the files, uploading or downloading speed and even different bandwidth for file upload and download. For more information: Click Here!

[e] Reputation Management Platform

We built an online reputation management platform that automates the process of review generation and monitoring. It generated a Net Promoter Score(NPS) using outbound emails and SMS with a drip campaign approach. The platform tracks and scrapes specific information from preferred review sites, collects and syncs customer contact details, facilitates easy responses to reviews, and provides robust reporting tools. We added features like negative review management and individual interactive discussion boards for easy customer response. We implemented a REST API that enables live review display and supports embedding website badges. For more information: Click Here!

[i] SalesForce

Salesforce has been the flagbearer of SaaS applications for years by combining cloud computing services with an elaborate CRM model, making it an all-in-one solution for businesses across different scales. 

From marketing to lead generation, from customer interaction to operations, Salesforce supports businesses in every possible aspect. The only downside of Salesforce comes in the form of its price, making it difficult for small-scale businesses to sustain while continuously subscribing to it.

[ii] Shopify

It is safe to say that Shopify revolutionized the e-commerce market by allowing businesses to set up an online store and start selling their products almost instantly. The setup does not require any major technical expertise, meaning anyone slightly proficient with computers can set up a store.

The high volumes of pre-built components and customization options allow business owners to customize their online store as they wish! Shopify also addresses some of the mildly complicated areas like SEO optimization and payment gateways to make sure the users can have a seamless experience with online sales.

[iii] Jira

Jira is the most popular way to manage and supervise the ongoing workflows of a software development project. It was built by Atlassian, a well-known SaaS application development company, as their ace product, and gained its popularity with the rise of Agile as a software development method!

What Jira does is – provide project managers, developers, and stakeholders with access to a common dashboard where the progress and issues are transparently tracked, so that every involved party can collectively make sure the project is on the right track.

[iv] Zoom

Zoom is a cloud-based video calling tool that allows organizations to host meetings and other activities online in a seamless manner. Zoom experienced its first wave of grand success in 2020 when COVID forced everyone to stay back home and work/attend classes from a remote setup.

Even with the presence of a giant competitor (Google Meet), Zoom managed to capture a large volume of audience given its rapid adaptation to the needs and focus on the customer experience. Zoom even introduced some features that weren’t offered by its competitors at that time, which also worked in the company’s favor.

[v] DocuSign

DocuSign is a cloud-based electronic signature tool that allows opposite parties to sign a legal document remotely without the need to be physically present at one spot. With the use of APIs, Docusign can be easily integrated across different software solutions, allowing agreement-based applications like property renting, e-commerce agreements, client or employee onboarding, and many more to operate seamlessly.

Given the fact that people are paranoid about the security and how easy it is to forge a signature online, Docusign uses something called a Public Key Infrastructure (PKI), that allows businesses to sign and verify signatures reliably with the help of public and private keys.

[vi] HubSpot

HubSpot is well known for its end-to-end marketing-related SaaS products, covering use cases starting from – content management systems all the way up to marketing automation tools and analytics & reporting assistance.

But, that’s not all that HubSpot has to offer, if we talk about the entire service model, it covers almost every operation – from the first contact to conversion – within a user journey. It also offers free courses for individuals willing to learn the intricacies of getting the most value out of a lead.

[vii] Oracle

Oracle also consists of a sales and marketing vertical like HubSpot, however, it doubles down on it by providing a complete business solution by also including an ERP vertical to optimize the resource requirements & supply chain of a business. Oh yes, and it also includes HCM solutions to make sure the workforce is always in top-notch condition.

Besides these solutions, Oracle also introduced Oracle Cloud Infrastructure (OCI) which basically covers a business's PaaS and IaaS needs by providing cloud computing services of multiple types to the businesses so that they can run their applications seamlessly.

[viii] Canva

Canva has been a go-to choice for creating visuals across multiple business requirements in an easy and structured way. The best thing about Canva is that it is made primarily for people with a very limited sense of design. This means anyone can create stunning advertisement flyers or infographics without the need for a long learning phase.

It provides an extensive list of templates for the users that they can use as a foundation to build their final output around. Complementing them with robust editing options allows users to really customize the visuals to their exact liking.

[ix] MailChimp

This company has pretty much established its name to the extent that often people in the marketing industry refer to email marketing and MailChimp synonymously. It largely automates various email marketing campaigns a business might be running simultaneously and tracks the conversion rate over time.

Additionally, MailChimp assists businesses with content creation along with building complementing forms and landing pages. It can be integrated with various e-commerce or other platforms to track customer data, and even push reminder notifications to maximize the chances of a successful purchase.

[x] Netflix

A staple choice globally to serve the entertainment needs of users across all age groups, Netflix offers a gigantic list of award-winning shows across multiple genres, available to stream at any time. It is a staple choice for millions of users seeking entertainment on the go or in the comfort of their homes.

From the technology aspect, Netflix leverages an exceptional AI model to suggest viewers additional content based on the content they typically watch. This feature comes in handy when the viewer cannot decide what to watch. Parental control is also a very useful feature that allows the guardians to control the type of content the kids consume regularly.

[1] Requirements

1. The most basic step before you start to select the tech stack for your business is to pen down the requirements and goals you wish to achieve with the software you are going to build.
2. Next define your target audience. Answer questions like – Is your application going to serve an unknown demographic of users? Or,  is it going to be used by a bunch of employees within an organization?
3. Finally the scale of the solution. Is the application expected to serve a static number of users in perpetuity? Or is the number of users expected to continuously increase over time?

Once we have the answer to these questions, we can curate a list of technologies that fit well in the chosen scenarios. Providing our foundational list of technologies that will collectively be the core part of the first tech stack draft.

[2] Developer’s Skillset And Team Size

This is one of the points where choosing your tech stack as early as possible works in your favor. Here’s why –

1. If you are finalizing your tech stack after you have curated most of your technical team then in that case your options are limited to the technologies your developers are proficient with.
2. Because, for them learning a new language with complete proficiency can take months, which isn’t sustainable for a business. Outsourcing your work to a software development company works as a reliable alternative in this scenario.
3. However, if you somehow manage to finalize your tech stack before getting most of the team together, you can hire your team based on their expertise in the technologies included in your tech stack.

In the latter method, you are not limited to the technologies that your team has a grip on. You can literally choose any technology you want and then hire a team/employees based on your choices.

[3] Features Functionality and Overall Project Scope

This can be considered a detailed branch of the requirements point discussed previously, here you basically get into the details of your project at a molecular level, taking every single feature, integration, and module you wish to include under consideration –

1. If your features are inclined more towards the complicated side, like real-time communication, data analysis with a large flow of information, then you have to choose your technologies accordingly.
2. It is also crucial to include complementary technologies in your stack. For example – selecting a UI that complements the related framework, or choosing the set of APIs and other 3rd party tools that integrate seamlessly with your modules.

[4] Budget

Some technologies are expensive to leverage but provide a wide range of functionalities, while others are completely free to use but do not complete a very robust palette of functions.

1. Now, depending on how important a certain module is compared to others, you can mix and match between these expensive and free to use technologies to balance the overall budget of the project.
2. Then there’s maintenance costs, some technologies might be cheaper or even free to develop, but their maintenance costs are relatively high due to various reasons such as – limited developer pool, complex open source setup with no support, etc.

[5] Security Needs

It is crucial to implement technologies that provide a secure environment during operations. Given the fact that a tech stack has multiple technologies it is crucial for the team to evaluate each technology in terms of security carefully –

1. Go through the technology’s data protection guidelines and scour through online forums to identify any possible vulnerabilities of the technologies along with their workarounds. Once you have all of the information, take a call on whether you wish to include the technology in the stack or not.
2. Tally the compliance requirements of your industry with the technologies you are willing to bring onboard. Make sure all of them are compliant to avoid any future complications.
3. Prioritize technologies with a strong and active community and with regular security updates. These typically have a lower risk of vulnerabilities and even if one is detected, they are quickly patched.

[A] Operating System

It provides the environment that allows all the other applications to run/operate. It is one of the foundational parts of any tech stack being leveraged for the development of the software, as all the other technologies need an OS to execute. It is important to choose the right operating system to maximize the efficiency of the development process.

A lot of it comes down to the preferences of the developers working on the project as well. For example –  while most of the mainstream backend programming languages like Python and Java are compatible with all of the major operating systems like – Windows, MacOs and Linux, developers prefer to use Linux for the development in most cases due to its stable and command line centric nature.

[B] Database

These can be considered as the application’s warehouses, where all of the data is stored, arranged, and retrieved as per the requirements and tasks being performed. Having reliable database options in your tech stack that perform consistently is extremely important to further enhance the overall stability of the application.

This especially helps the application to shine while handling high user footfall or while performing tasks that require a constant supply of data in order to make decisions or suggestions. It reflects in the user satisfaction metrics as well since the data loads faster, comes from a secured environment, and above all, returns accurate results.

[C] Front-end

Front-end technologies support the interface between the application and the users, providing them with a visual means to communicate their requirements to the application with a few taps/clicks. The front end has a major role in helping the users to understand the application and form an opinion about it.

An application with a clean and minimalistic UI along with a well-thought-out and intuitive arrangement of features is generally considered to be a premium product. While a clumsy UI with randomly placed features is a sign of a poorly developed application.

[D] Back-end

This acts as the brain of the software – managing the operations across various modules and executing the core functionalities. Back-end technologies are leveraged to build the overall logic of the software that governs the server-side activities that aren’t directly visible to the users. 

Having a strong back-end setup ensures the solution is handling & processing requests while managing the resources consistently and efficiently. It improves collaboration between the application verticals enhancing the overall experience for the users.

[E] Server

Servers are responsible for hosting the back-end of the application, managing the cloud and network resources and addressing the client requests to orchestrate the overall accommodation providing the software with a reliable environment to operate in.

Having reliable hosting servers (Like: Amazon Web Services or Microsoft Azure) not only enables better performance, it also enables seamless scaling of the software whenever needed. There are other options for on-premise servers as well, but they are losing relevance rapidly.

[F] APIs

APIs allow your software to communicate with third-party software solutions or with different modules within its own architecture, kinda like the nervous system that connects the brain (Read: back-end) to the other parts of the application.

A well-designed API facilitates modularity, an architecture that has a plethora of benefits by itself including optimal upgrades, minimal downtime, selective scalability and much more. Integrations with third party solutions is also easier with the presence of appropriate API documentations that can further expand the functionalities offered by a software.

[i] MEAN Stack

MEAN stands as an abbreviation for – MongoDB, Express.js, Angular.js, & Node.js. Quite noticeably it is a JavaScript favoring approach that offers a unified language for both front-end and back-end technologies allowing rapid development with minimum complexity.

1. Having an Open Source setup, the developers working with a mean stack gain free access to the grand community of active developers providing extensive documentations and forum discussions covering almost every possible issue.
2. MEAN has a reputation for being a scalable techstack as it leverages MongoDB, a NoSQL database. Context: NoSQL databases are known for being easily scalable due to their ability to scale horizontally.
3. Being compatible across all the major operating systems including Linux allows developers to easily adapt to this stack. And it doubles down on the ease factor with the performance boost provided by Node.js’ event driven architecture allowing it to handle concurrent users with ease.

[ii] MERN Stack

MERN stands short for – MongoDB, Express.js, React.js, and Node.js. Similar to MEAN, MERN is also a Javascript centric framework, however, instead of using Angular, React comes as a replacement for handling the front-end operations. 

1. React stands superior to Angular while developing complex UIs due to its component based architecture. It also promotes reusability of modules that cuts down the development time.
2. For dynamic applications, React provides a virtual DOM that enhances the performance and efficiency of the overall solution.
3. Additionally, it also inherits most of the benefits that we discussed for MEAN stack including the Open Source, NoSQL, Cross Platform compatibility benefits.

[iii] LAMP Stack

LAMP stands for Linux, Apache, MySQL, & PHP. It is particularly popular for web development and has become a standard choice for it due to its stack of stable and reliable technologies. Being open source as well, LAMP stack is a resource friendly option for businesses with a bunch of benefits –

1. PHP allows server side scripting that supports the developers efficiency combining it with MySQLs solid relational database the software is built in the best conditions possible.
2. Although LAMP is primarily based on Linux as it’s core operating system, there are other variations of LAMP that allow the use of other OS options to help the devs meet their specific needs. WAMP and MAMP are the most popular examples with the first letters representing Windows and MacOS operating systems respectively.

[iv] Python Stack

The Python stack works with a plethora of technologies and has been the choice of many developers when it comes to web development or artificial intelligence related projects due to the versatile and readable nature of the language.

1. The Python stack is supported by a bunch of extremely reliable frameworks like Django and Flask that provide a number of features for web development.
2. As mentioned Python’s syntax is readable and simple compared to other programming languages, making it beginner friendly. This is the reason many developers start off with Python as their very first programming language.
3. Python has a massive community of developers with an elaborate list of libraries and other resources, which further improves the development time and assists developers to tackle niche issues that they might face.

[v] Java Stack

The Java stack is typically categorized as the ideal choice for enterprise level applications due to its high security standards, overall stability and scalability options. Equipped with technologies like Spring, Hibernate, Apache Tomcat and others, the Java stack provides an environment to build robust and high performance solutions.

1. Java has its own development ecosystem that includes multiple libraries, tools, frameworks, and a virtual machine called JVM to execute the bytecode.
2. Java also has its own Just-In-Time compiler and advanced garbage collecting protocols that further enhance the performance of the application especially when working with continuously running applications.
3. Java provides a security manager, bytecode verification functionality and a long list of security APIs making it a suitable choice for applications needing high levels of security. (Read: enterprise applications)

[a] Performance Issues

Mindless techstacks may result in slow loading speeds and high latency due to lack of optimization and synergy between the various technologies used. This can cause complications during the development and even lead to frustration among the users.

[b] Security Limitations

Using technologies that do not receive frequent updates and are abandoned by the developers can make your solution vulnerable to any external threats. Development teams might have to patch these issues themselves later on, that will cost your business a lot of time and effort.

[c] Scalability Bottlenecks

Choosing multiple licensed technologies for your tech stack might be a wrong business decision. In case, there is a need to scale up the business later on, being unable to afford all the upgrades may force the devs to compromise in some areas. And without these upgrades the solution may start crashing and slowing down.

[d] Integration Related Problems

Having a weak technological foundation will inevitably cause complications whenever the team attempts a new integration to the existing model. Going back to the old framework, identifying the cause behind the issue and fixing it will yet again prove to be counterproductive compared to building a firm foundation from the very inception.

[1] Easy to Read Syntax

Python’s syntax is widely known to be the most straightforward and intuitive among all the competing programming languages, this reduces the barrier to entry for anyone aspiring to become an AI developer. But Python is not just beginner-friendly, having intuitive syntax allows experienced developers to quickly grasp the situation of a project, allowing them to partake in the development at any given moment.

Debugging is another aspect of development that is greatly uplifted because of Python’s simplified syntax, as it is easier to point out mistakes and resolve them when the code is easier to comprehend.

[2] Multi-Platform Support

Python supports cross-platform compatibility, meaning developers only need to create a single codebase that can be used across all of the major operating systems with either minimal or no changes. This makes the development of a solution much more efficient compared to some other programming languages that need distinct codes for each operating system the AI model wants to operate on.

Now, in case you are wondering what operating systems Python covers with its cross-platform support, primarily – Windows, MacOS, and Linux; which is almost the entire user base. The core functionalities remain the same for a Python-based model across these platforms. However, there can be certain modules, external libraries, or system-specific tasks that might need some additional adjustments across different operating systems despite using Python.

[3] Flexible

Cross-platform support in itself is a flexibility trait, but that is not all that Python has to offer. One of the top testaments of Python’s flexibility is the fact that it allows developers to choose between OOPs and scripting, allowing code to be written across multiple programming languages and not just Python.

Developers can also mix and match various programming styles to get the most efficient output or simply use the one they are most comfortable with for the development. Some of these styles include:

1. Imperative Style: It is used to define the sequence that a computer follows to execute a set of commands.
2. Object Oriented Style: It includes two concepts objects and classes, where a group of similar objects make up a class. Although it has limited usability in Python due to its inability to perform encapsulation completely, it is still considered a good choice to model real-world entities.
3. Functional Style: It declares what the program should do with the help of mathematical equations, which gives it a secondary title – Declarative Style.
4. Procedural Style: Used primarily for sequencing, iteration, modularization, and selection. This style is considered to be the most “beginner-friendly” given it carries out tasks in a step-by-step manner.

Each of the listed styles has its own traits that can be leveraged depending on specific situations. Python allows the devs to freely switch between the styles as and when necessary.

[4] Great Community Support

Python is an open-source language with an active community. This means there are a bunch of resources available for beginners and long-time developers to take reference from, in case they feel stuck at any given point, during the development. Python has such a massive community, that most of the doubts that may arise in a developer's mind might already have a solution available on these forums.

In case there is a new issue that has not been discussed before, the community shows great interest in the questions and takes it up as a challenge to find a solution as quickly as possible.

[5] Plethora of Libraries and Frameworks

One of the primary reasons why Python is so popular among the AI/ML developers community is the fact that Python has a massive range of libraries and frameworks that the developers can easily access and use during development. This is something that is lacking in other programming languages, at least to this extent. Making the time-consuming and extensive AI development process somewhat easier as developers can get a hold of many functionalities without the compulsion of developing them from scratch, every time.

[6] Better Visualization Options

Among all the libraries and frameworks, Python consists of several visualization-centric libraries that are no less than a lifesaver for analysts. When it comes to displaying insights generated by AI… the outputs generated, although structured, are in large volumes. Without proper data visualization practices, translating the observations into insights will be quite the challenge.

Matplotlib is one of the most renowned names when it comes to Python’s visualization libraries, providing a wide variety of chart types with many customization options. But it is just one of many visualization-focused libraries that Python offers.

[i] Python Vs Java

Python has a simple and readable syntax in comparison to Java, which allows Python to orchestrate faster development and quick bug fixes. In terms of libraries, while both Python and Java offer their own sets, the Java libraries are not nearly as comprehensive as Python.

However, given that Java is a compiled language, it does have a slight edge over Python when we talk about the execution time, making it slightly better for large-scale enterprise applications operating with complicated and large databases.

[ii] Python Vs JavaScript

When it comes to machine learning, data science, and AI, Javascript’s capabilities seem nascent when compared to Python. Even the libraries that Javascript has on its roster do not seem as mature as Python. To be fair, Javascript does have a slight edge over Python in real-time data visualization-related functionalities, but Python more than makes up for it with its computational capabilities for heavy-duty AI tasks.

[iii] Python Vs C++

A code written in Python is 3 to 5 times shorter than a code written in C++, providing identical sets of instructions. This is one of the primary factors as to why Python enables rapid development and testing, which comes in handy for AI development. While C++ does have access to libraries such as TensorFlow, NumPy, Pandas, and others, these libraries were originally made for Python.

[iv] Python Vs R

R is an excellent choice for statistical computing and visualization-related tasks but its use cases are relatively situational when compared to the broader use cases of Python for the development of AI. The same trend expands in R’s learning curve, where it may become troublesome for developers who want to focus on other fields outside of statistical analysis.

[v] Python Vs Other AI Programming Languages

Some additional programming languages like Haskell and Julia, have been getting a lot of traction in the AI development industry lately, so it’s only fair that we compare them with Python as well.

First off – Julia has shown some promising results in terms of performance and its steadily growing ecosystem is making it a great contender for high-performance AI solutions. However, it does not have the quality and range of tools that Python can offer, which scrapes away a lot of the development efficiency right now.

As for Haskell, the functionality and performance are top-notch, but it is a complicated programming language. Python’s simplicity makes it more beginner-friendly. Inspiring new developers to try their hands on Python first, and in most cases, making it a staple for their future practices.

[a] Healthcare

1. Medical Imagery: Python libraries like OpenCV and Tensorflow use computer vision and machine learning technologies respectively to evaluate medical imagery and help in diagnosis.
2. Medical Predictions: Libraries like Numpy and Pandas allow AI models to predict the outcome of a patient’s treatment based on specified metrics. It can be used on a larger scale to predict disease outbreaks in certain situations.

[b] Education

1. Personalized Learning: Machine learning models evaluate a student’s strong and weak areas based on their performance and curate a course accordingly to help them have a consistent grasp of all topics.
2. Course Optimization: Python can also be leveraged to analyze the collective performance of students across a class and evaluate if certain areas are too easy or difficult for the students to understand. This data can be further used to revise the course to provide the students with an optimal learning experience.

[c] Real Estate

1. Property Valuation: Python is used to leverage machine learning that allows AI models to evaluate the price of a property based on several metrics that include a mix of current statistics and future predictions.
2. Virtual Tours: 3D modeling Libraries such as Blender to create virtual environments for a given property. In most cases, a Python API is present for easy collaboration, along with the availability of scripts that can automate the creation and manipulation of these 3D models.

[d] E-commerce

1. Recommendation Engines: Python has multiple libraries that can analyze customer behavior and recommend products that they might have a higher probability of purchasing. The model can also highlight any relevant discount offers that might be ongoing.
2. Inventory Management: As discussed previously, Python libraries such as Pandas and NumPy enable predictive capabilities that can provide a heads-up of the upcoming demand for each inventory item, which can be referred to while making the next batch of orders from various manufacturers.

[e] Travel

1. Optimal Routing: Python libraries can access Google Map functionalities to analyze all the possible routes to the destination and recommend the most optimal choice based on various factors such as traffic, road obstructions, weather conditions, etc.
2. Travel Itinerary Recommendations: AI can flesh out an entire travel plan for the users based on the data of their personal preferences and the availability of various places/activities.

[f] Transportation

1. Autonomous Vehicles: Python plays a crucial role in the development of libraries that are used to train autonomous vehicles how to navigate through the roads all around the world.
2. Predictive Maintenance: As the autonomous concept is becoming more and more popular in the shipping industry, it has become really important to install AI models to monitor the vitals of a vehicle and launch maintenance protocols on time to avoid any issues while the vehicle is on the job.

[A] Performance Issues

Being an interpreted language, Python’s computational efficiency is slightly worse than some of the other programming languages, such as Java and C++. This can be considered an inconvenience when you are trying to work on a machine learning or deep learning application that necessitates the processing of huge datasets.

However, this limited performance can be tackled by implementing certain techniques called parallelization and just-in-time compilation. Here’s what they do – 

1. Parallelization – It distributes the computation tasks across various cores or processors to speed up the execution time.
2. JIT Compilation – It translates Python’s code into machine code during runtime which massively improves the performance.

[B] Scalability

Python is typically used on a single machine which limits its scalability in complicated and distributed environments. To tackle that, libraries like Dask and PySpark are introduced that enable distributed computing. However, these libraries are not as mature right now and can add an extra layer of complexity to the project, something that conflicts with the core value of Python.

[C] Integration and Deployment

Python does not have the strongest enterprise support which makes the deployment of Python-based machine learning models into the final environments more complicated compared to other programming languages. To handle these challenges, developers may have to create a few custom solutions to enable seamless integration of Python with other platforms, this however, will yet again increase the complexity of the solution.

[a] Website Complexity

If your website is on the simpler side and does not have a roster of fancy features, for example – a website that is focused on releasing blogs from time to time, then you might be better off without an application. A well-optimized website should be sufficient to provide your audience with a seamless experience without any additional expenses.

[b] Cost to Return Ratio

The intent behind developing the website and the scale of your business also need to be accounted for. Basically, if you are an early-stage business and have analyzed that developing an application will directly help you to scale, then you should definitely invest in it.

[i] Enhanced User Experience

Websites are designed for larger screens, and using the same layout on a much smaller screen can be difficult. With a mobile application that is designed while keeping small screens across different resolutions and ratios in mind, you can ensure that the users can explore your services through any device, seamlessly. You’re not bound to include all of your website’s deliverables on your app as well, which allows you to focus the intent of the application on a specific service (if you want to).

The users can also leverage a much-improved experience with smoother animations, faster loading times, multi-touch functionalities, and a mobile-centric layout. In its absence, users have to struggle with un-optimized mobile screens, leading to extremely small fonts, and complicated & overwhelming designs that take a major toll on the user experience.

[ii] Notifications

There are two core ways applications can leverage notifications, first, reminding the users about a scheduled event that they consented to previously. And second, to market yourself with the help of offers and content that creates a “pull”.

It is arguably one of the most versatile features of an application as it allows your organization to be on top of the user’s mind. But you need to make a few considerations. An average user receives up to 80 notifications per day which can go as high as 200 notifications depending on the occasion and the number of applications installed in the user’s device. This clearly means that sometimes it can be overwhelming for the users to receive so many notifications, pushing them to manually disable notifications for certain applications or for the device completely.

[iii] Offline Access

While the majority of us readers have a seamless internet connection, there are many parts of the world where the internet is still a luxury. Offline access to some of the application functionalities allows users to seamlessly access the applications in remote locations where internet connections are either patchy or completely absent.

A popular use case of this feature is – during surveys or any other information-gathering campaigns for a government relief policy in remote areas of the world. Even without any access to the internet, the representative can visit the remote locations, acquire the information, and fill it up in a form within the application while being completely offline, and all of this data is locally stored on the device. When the user returns to a location with stable connectivity, all of the collected data is uploaded to a central cloud-based server. But this is just one example, be it downloading music offline to listen to while traveling or keeping an offline version of the map when visiting places, the use cases of offline access to applications are plenty.

[iv] Accessibility

An installed app is always easier to access compared to opening your website in a browser. Those extra steps can make a big difference in user engagement. Although there is an initial challenge of convincing the users to install your application in the first place, once that barrier is crossed, there are several new strategies you can try out.

Furthermore, if your business wants to leverage some of the native features of a mobile application that you were unable to implement with a website previously, that can be easily included as well. For example: Let’s say you have an ecommerce website and with a new mobile app you want to add an Augmented Reality feature, something that wasn’t possible previously.

[v] Brand Recognition & More Visibility

With a native application, your brand has the opportunity to be placed on the user’s home screen, which means every time a user unlocks their device, your application will be right in front of their eyes. This is a significantly better option to be on top of someone’s mind compared to your website being stored in a browser’s bookmark section.

[A] Genuine Need

Conduct a survey if you have a user base already or a market analysis if you are starting off fresh to understand the market’s need for an application. Try identifying the features on your website that you can improve on an application, and parallelly devise your monetization strategy. You can also take the research a step further and analyze how your direct competitors are operating – Do they have an application of their own? What features are they selling their business around? How can you improve on those features and services to capture their user’s attention? – Finding an answer to these questions can give you a strong idea of the need for an application for your business.

[B] Development Cost

Consider factors such as the design specifications, the tech stack to be used, cross-platform support, and other factors to come up with an approximate amount you will be spending on the project. Next, calculate this cost of development against the long-term revenue boost the application will provide your business. If the profits make sense then you are on the right track. Be wary of the hidden costs as well (if relevant to your case), such as – app store fees, marketing budgets, APIs & any other third-party integration costs.

[C] Restructuring

Here’s the thing, some websites are easier to convert into applications than others. For example – while content-driven websites like blogs and new websites are fairly straightforward and easy to transform, some highly interactive websites with advanced JavaScript features or some websites with real-time data processing can be difficult to translate given the limitations of an application. The latter option naturally has a higher cost of development as some of the core features might need to be built from scratch.

[1] Chalk Down the Requirements

First up, gather the stakeholders and the developers for a meeting, finalize the project requirements, and make a complete BRD that describes the project specifications in depth. It should include a detailed list of the features, the architectural approach, and all the external and internal integrations. The development period should be broken down into phase-oriented milestones so that as a client, you can track the progress of the development of the project with more transparency. Once both parties agree and sign on the specifications mentioned, the project can officially begin.

[2] Finalizing the Design of the App

This phase typically consists of wireframing, making the application mockups, and other UI/UX focussed elements of the application. The development firm should make sure they match the branding, font, and other details of the original website. The backend architecture also needs to be planned simultaneously. If the application is designed using an API-first or microservices-based approach, then these steps should be finished before the development of the actual application modules begins.

[3] Developing the Application

Next up is the development of the actual backbone of the application, this phase is typically divided into multiple milestones as it may take weeks or months, depending on the complexity of the application. In case the websites are hosted on WordPress or Shopify-like services, they get the benefit of leveraging APIs that support this website-to-application transition, making the development phase relatively shorter. On the other hand, the development of apps where there’s a need to develop certain modules from scratch takes significantly longer.

[4] Testing for Any Bugs

With the main mold of the application ready, it’s time to let the QA’s do their sculpting. After multiple cycles of rigorous testing and after addressing all of the possible test cases, the application can be finally considered – “market ready”. This application is now tested across various devices and across platforms (if applicable), to test across multiple parameters, the user experience is also evaluated by the internal team. Once all the boxes are checked it is time to finally let the application go out to the intended audience.

[5] Alpha and Beta Phases (Optional)

The alpha testing phase is another expanded form of the internal testing phase. Previously, the application was tested only by the quality analysts and the development team. But in the alpha phase, the application is handed over to the other members of the organization who were not involved with the development, the members from the client’s side also participate in this phase. Once it is approved by the internal lot, the application is pushed to the beta phase.

This is where the application is launched to a small group of end users, where they have the opportunity to be the first individuals to try out the application and raise any bugs and issues that they may come across. The problems detected (if any) are promptly resolved by the development team until no issues remain.

[6] Launch Of the Application

Once the application is approved by the beta users, it is finally time to let the application out to the masses. Depending on the business requirements, the application will either be uploaded to the Google PlayStore or the App Store, and the users can download it from those platforms. Or the .apk file could be distributed to the intended users individually if the application is supposed to be exclusive to a certain group of people.

[7] Maintenance

The thing about mobile apps or software in general is that they cannot remain “cutting-edge” for a very long time. As new features and technologies launch every other day, after a certain point they do need to be reworked and reinvested into in order to stay on par with the industry standards. This is where we join the team once again to help your business stay on top of your game and your competitors once again.

[1] Waterfall Vs Agile

Waterfall was probably the most popular development method before the agile revolution and is what we currently address as the “traditional development method”. In Waterfall, the project is typically broken down into 6 major phases – ideation, designing, coding, testing, deployment, and maintenance. The software development firm has to stick to the details defined in the ideation stage till the very end. Once a BRD is signed, the project is locked. Any new requirements/features that were either missed or newly introduced after finalizing the BRD have to wait for months or years (in some cases) to be implemented again. And this second cycle again needs an entire tedious cycle of its own. Which is not just frustrating for the clients but also places the company at a competitive disadvantage.

We’ve already established the fact that the current software development market is extremely nimble with technologies and features going from relevant to industry standards to obsolete within months. So, by the time a certain enhancement was introduced using Waterfall, it either became obsolete or the opportunity to gain a competitive advantage from the feature was completely lost.

This is where Agile’s sprint-based development comes into play. It not only allows a business to get the new functionalities on their software while it's still new and relevant, but it also gives the stakeholders enough legroom to make changes to the project goals in case they find an alternative idea that suits their business needs more after the project kick-off.

[2] Lean Vs Agile

The primary agenda of Lean’s implementation is to make sure that the product is delivered to the customers faster, while focusing on the core functionalities first, without adding unnecessary or optional quality-of-life features.

While Agile follows a similar concept when it comes to addressing customer needs, it differentiates itself from Lean with its more structured and organized operational layout. It allows a loop-based approach that is focused on working on the changing needs of the customer based on market shifts.

Think of it this way, if you’re building a house for an individual using Lean and Agile, you would quickly set up a room with a bed, table, cupboard, and AC using both methods. Now as time passes, let’s say the individual got married and had kids. Firstly, he has to make enhancements to his room and then set up another room for the kids. 

With Agile these changes can be easily implemented. However, with Lean, you will be stuck with the initial room layout, until and unless you decide to make a new solution from scratch with the updated requirements.

[3] RAD Vs Agile

Rapid Application Development (RAD) can be considered as a transitional method between Waterfall and Agile, as it draws similarities from both methods. Firstly, like Waterfall, RAD also requires a closed scope of deliverables that need to be defined at the beginning of a development cycle. With that in hand, RAD aims to deploy a prototype or an MVP of the solution as quickly as possible to get the initial feedback from the customers.

Once the initial prototype is approved, the development is continued across multiple iterations with feedback sessions with the client at the end of each round, similar to how Agile works.

While Agile provides more flexibility and faster adaptability, RAD is also a strong development method, and both methods can complement each other in some cases. Where the initial prototype can be built with RAD to lay a foundational structure, and then the development method transitions to Agile to make changes as and when the clients ask for them. 

[A] Better Product Quality

In Agile development, every sprint is followed up by a testing session from both the dev and client’s end. Any refinement needed for the solution is instantaneously discussed and addressed, improving the overall quality of the product at a very granular level compared to the other development methods. At the end of each iteration, the stakeholders also provide feedback regarding the things they liked and disliked about a specific sprint. This can give the developers a reference point regarding which aspects of the development are on par with the client’s expectations and which aspects need improvement.

[B] Improved Customer Satisfaction

The clients are receiving an early mover’s advantage along with the opportunity to enhance the product based on the response of their target audience. Given that the product is being developed in the most optimal way possible and is within the first batch of products that are launched in the market (with the latest functionalities), client satisfaction rates are consistently high.

[C] Faster Product Launch

The early mover's advantage is only possible because this development method does not need a complete version of the product to be developed first. They can start by positioning themselves against their competitors with just a basic model with the core functionalities. The clients can later focus on brainstorming the differentiating factor(s) for the product once the base model is launched. Continuous iterations across multiple sprints allow the product to reach a finished stage.

[D] Better Flexibility and Adaptability

Agile releases the clients from the obligation of describing every single detail of the entire project from the very beginning. It is particularly a challenge for entrepreneurs with limited technological knowledge, as they might not completely understand the impact of one functionality on another. As and when the software starts to take shape and the concepts become less blurry to the clients, a certain part of the software, that seemed to be the best option initially might not remain as relevant. With Agile, these situations can be easily avoided as nothing is fixed outside the ongoing sprint.

[E] Collaboration and Self Organizing Devs

Agile development allows different teams to work collectively as a massive team. The main difference between this approach and the traditional approach is the concept of self-organizing devs. Here, the devs across different teams are allowed to collaborate and share the workload based on the ongoing sprint objectives and open tickets without the need for a manager to oversee everything. This ensures that the developers always have work in their hands and allows them to showcase their efficacy and efficiency transparently.

[F] Enhances Project Predictability

By breaking down the project into smaller, more manageable sprints, development firms can compare the work done to the complexity of the sprint and predict the expected resources they will be spending on the upcoming sprints. This allows the firms to give the clients an accurate quotation for the upcoming work and also makes it easier for the project managers to manage the resources for various aspects of the project. 

Various Agile methodologies have additional practices that increase the transparency of the work done, enabling better predictability. Let’s discuss that, along with the core concepts of some of the major Agile development methods in the next section.

[a] Scrum

Scrum is the most popular Agile development process that is focused on returning visible improvements to the overall project between various project sprints. Normally, Scrum follows a team setup, including a –

1. Product Owner – The associated Stakeholders
2. Scrum Masters – Project Managers who facilitate the development
3. Self Organizing Devs – Developers who can collaborate with other teams to distribute the work among themselves depending on the priorities and deadlines.

The Scrum framework also encourages team members and clients to participate in sprint planning, feedback, and daily progress meetings to maximize the transparency of each cycle.

[b] Kanban

Kanban is more of a visual take on addressing and handling tasks revolving around Agile with the help of a board called, you guessed it – a Kanban Board. The main goal of this board is to limit the piling up of ongoing tasks, which is very frequent in environments where agility is the KPI. To ensure this, a Kanban board has some important structural definitions –

1. Cards – essentially the visual cards on the Kanban Board that allow the development teams to keep track of the ongoing objectives in hand for various phases of the project.
2. Columns – The previously mentioned cards are organized within columns that show the entire workflow from ideation to delivery on the Kanban board. The requirements on the cards might evolve as the development progresses from one column to another until it finally reaches the end.
3. Limiters – Each column has a fixed limit of slots to place the cards. Helping the development team to monitor and limit the number of pending tasks on the board.

This allows a continuous development process while minimizing the number of tasks that are overlooked or left incomplete. Kanban sets a threshold on the number of such tasks that can be placed in each step of the operation. Once that threshold is crossed, the process is automatically stuck and all the focus automatically comes to that point. The pending tasks are then quickly addressed to “unclog” the workflow.

[c] Extreme Programming

Extreme Programming (XP) has short development cycles typically having a cycle of 1-2 weeks, which is slightly shorter than Scrum (having a typical cycle of 2-4 weeks). Here are the primary ways XP differentiates itself from Scrum –

1. Mid Sprint Changes – XP allows the clients to make changes to their requirements in between sprints, something Sprint allows only after the end or before every sprint.
2. Features Aligned – As mentioned before, this method is focussed on delivering software solutions of the best possible quality, while Scrum’s focus is on collaboration.