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Benefits of Minimum Viable Product (MVP) in Mobile App Development

What is Minimum Viable Product?

A Minimum Viable Product is an initial or the first version of a digital product, which is designed and developed to test the acceptability and ability of an idea. One can say, MVP is the first model or a prototype of your product.

It is built with minimum resources, but the core features of the product, following the standard app development cycle. With this prototype, the team can receive usage feedback, understanding how the product is received by the users, what are the stumbling blocks in performance, what improvements can be done to make the product more impactful.

Benefits that you can Derive from MVP

Building a Minimum Viable Product for a scalable mobile app development project could bring in a number of advantages to the business. Here are a few of them.

Test the App before launch

Success rate evaluation of an idea at the initial stage can save a lot of money and let you earn more based on acceptability. Launching MVP for your product idea among a set of users and you can evaluate the possible persona for your product.

   2. Rate Application Performance

With MVP, one can evaluate if you are on the right track with the right technologies. You can also test the ability of your developer in generating the expected output.

  3.Handle Security Issues

If the application has considerable security loopholes, one can detect and correct them, without harm to a mass. The problem when fixed at a lower level is definitely a reputation savior, augments retention rate, and ultimately leads to better user experience.

   4.Analyze User Expectation

Certainly, an MVP will be launched with mobile app analytics tools integrated with it. This will help one to evaluate how users are utilizing the app, what option or features they use often, what is their behavior with the app, what are they exploring in the app using the search tab, etc. Once all of these factors are analyzed, your idea will definitely get a boost.

 5.Build Better Version of App 

Launching an MVP of the app means you are connecting your idea with the users. The feedback received gives confidence in the idea, analyzes user requirements, and helps build a product that is a sure hit in the market.

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Understanding Software Maintenance

As long as your software is in use, it is never truly finished. In an always-changing tech landscape, your software requires constant Maintenance to keep up its performance. It needs to be able to scale and evolve alongside the growing trends, new technologies, increasing user base and your business goals.

Here, we explore the different types of software Maintenance and their user impact.

Software Maintenance is an act of fine-tuning a software product for better performance, accuracy, and security. It’s about repair, upkeep and ongoing optimization with future prospects in mind.

Whenever you make a change to your existing software product, you are performing a software Maintenance activity. Some of these changes are inconspicuous and are not invisible to your users. Others could become disruptive if handled incorrectly.

One can group software Maintenance into four categories:

Preventive Maintenance

Corrective Maintenance

Adaptive Maintenance

Perfective Maintenance

Preventive Maintenance refers to software changes carried out to future proof of the software product. So, software Maintenance changes are preventive when they prepare for any potential changes in the future.

This Maintenance strategy includes making the code easier to scale or maintain and managing the legacy content. It also covers finding and fixing latent faults in the software product, before they evolve into operational faults.

Preventive Software Maintenance, then, tends to be working behind the scenes. Think tidying and preparation, rather than headline changes.

Corrective changes in Software Maintenance are those that fix bugs, flaws and defects in the software. It usually comes in the form of quick, small updates on a semi-regular basis.

For users, corrective software Maintenance is unlikely to cause negative sentiment. Who, after all, is unhappy about annoying bugs, glitches or issues getting fixed? This category of change helps make the user experience instantly and obviously smoother, as well as more reliable.

So, with corrective software Maintenance, it’s important to act quickly and often. That helps you offset any potential user problems, and keep your product in shipshape.

The Technology environment is constantly upgrading and changing. New knowledge, hardware, and cybersecurity threats mean that software quickly becomes outdated and needs to be kept in check. Adaptive Software Maintenance addresses this issue.

Adaptive changes focus on the infrastructure of the software. They’re made in response to new operating systems, new hardware, and new platforms, to keep the program compatible.

Adaptive software changes tend to be a low impact on users as they deal with the internal workings of the software. (Making sure it can integrate with new tech.) Users may notice a small improvement in speed or scalability but are otherwise unaffected.

In fact, users are more likely to notice when adaptive Maintenance isn’t completed. For example, it would mean their software stops working on their up-to-date devices.

 The Perfective Software Maintenance category is the widest and biggest. Perfective Software Maintenance addresses the functionality and usability of the software. Perfective Maintenance involves changing existing product functionality by refining, deleting, or adding new features.

As well as changing the way a product works, perfective changes might also change the way it looks. Any user interface tweaks, redesigns, or in-app user journey changes fall under the perfective Maintenance category, too.

This scope and palpability make perfective Maintenance the most likely to elicit change aversion in users. After all, perfective changes are highly noticeable. Users won’t notice a bit of refactored back-end code, but they’ll notice any chops and changes visible up-front.

So, managing perfective changes means communicating with users to mitigate any potential negative response. Try using product feedback, and offering accessible support. Change is necessary: but make sure you manage it effectively.

Software Maintenance is integral and also critical to keeping the software running smoothly. But that is enough to merely make the changes and deploy unannounced. When going ahead with Software Maintenance, it’s important to consider what effect the changes made could have on your users.

If the Software Maintenance could cause confusion to users, you need to make sure you’re effectively communicating with or supporting your users. That way, one can avoid the potential disruption of change and ensure that Maintenance stays your product’s mainstay.

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Benefits of AI and IoT Convergence

The Internet of Things (IoT) and Artificial Intelligence (AI)  leads to a wide range of benefits for companies, enterprises and consumers like proactive intervention, Personalized Experience, and Intelligent Automation. Below is the list of some of the most popular benefits of combining these two disruptive technologies to businesses.

Boosts Operational Efficiency

Artificial intelligence in IoT optimizes the constant streams of data and thereby detects the patterns not deceptive on simple gauges. In addition, Machine Learning (ML) paired with AI can predict the operation conditions and detect the parameters to be modified to ensure ideal outcomes. Hence, Intelligent IoT offers an insight into which processes are redundant and time-consuming, and which tasks can be fine-tuned to enhance operational efficiency.

Google, for example, intends to reduce Data Centre Cooling Costs by bringing the power of artificial intelligence into IoT. 

Better Risk Management

Coupling AI with IoT helps businesses and enterprises to understand and predict a wide range of risks and automate for the prompt and secure response. Thereby, it allows them to better handle unforeseen financial loss, employee safety, and cyber threats management.

For example, Fujitsu ensures their worker's safety by engaging AI for analyzing data sourced from individually connected wearable devices.

Triggering Enhanced and New Products & Services

Natural Language Processing (NLP) is getting better at allowing people to communicate between devices. Undeniably, IoT and AI together can directly create new products or enhance existing products & services by enabling the business to rapidly process, scale & analyze the data.

For example, Rolls Royce plans to leverage Artificial Intelligence technologies in the implementation of IoT-enabled aircraft engine maintenance amenities. 

Increase IoT Scalability

Internet of Things (IoT) devices ranges from handheld mobile devices and high-end computers to low-end nanoscale sensors. However, the most common IoT ecosystem includes low-end sensors, which offer streams of data. AI-powered IoT ecosystem analyzes and summarizes the data from one device before transferring it to other devices. As such, it reduces large data volumes to a handy level and allows connecting a large number of IoT devices. This is called scalability.

Costly Unplanned Downtime is eliminated

In some critical sectors like offshore oil & gas exploration and production and industrial manufacturing, equipment breakdown can result in costly unplanned downtime. The predictive maintenance with AI-enabled IoT allows you to predict the equipment failure in advance and schedule orderly maintenance procedures. Hence, you can avoid the side effects of unplanned downtime.

Deloitte, for example, finds the following results with AI and IoT:

20%-50% reductions in their time invested in maintenance planning10%-20% increase in equipment availability and uptime5%-10% reduction in maintenance costs

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AI Powered Future - A Visualization

Artificial Intelligence and the Internet of Things go hand in hand to create technological wonders throughout the world. Comparing technology to Humans, AI is the big brain whereas IoT is the nervous system. Together with the applications they make perform different operations. These operations may be complex or simple but their execution is surely fast and secure. 

In layman terms, AI enables machines to think, analyze and process information in a similar fashion same as that of humans. Although the potential AI has not been fully realized yet. Still, AI has found its applications in a number of fields where the results are nothing short of a breakthrough. 

The Internet of Things is a network of interconnected devices exchanging information among themselves without the need of human interaction. This network of connected devices acts as the neural ends of the IT infrastructure. The devices may be considered as body parts or organs of this Information Technology body. 

Measuring Industrial growth through AI

In today’s fast-growing times, Artificial Intelligence has helped enterprises to build their operational efficiency and speed while simultaneously decreasing the cost of production. This has made the technology a reliable and highly functional advancement in whatever field it is applied. The key aspect of Artificial Intelligence is its efficiency to break huge data sets into small informational bits. AI learns and analyzes through these data sets. 

AI is helpful in tracking and analyzing fraudulent cyber activities beforehand. Thus it can be used for risk prevention. 

AI is used to read and convert big data sets into a meaningful and structured form. Thus major industry sectors are leveraging AI in their process to yield multi-fold information benefits. 

 Artificial Intelligence has found its breakthrough applications in various industries like Healthcare, Manufacturing, Insurance, logistics, etc. Let us take a look at the developments and advancements AI has created in some of these fields. 

 AI in the Manufacturing 

The manufacturing area can make the most out of AI's part of expanding profitability. Computer-based intelligence can be utilized for 24*7 production, therefore sparing work costs. To actualize AI on such a tremendous scope in a planned way, one needs the machines to connect with one another in an organized fashion. This is furnished with the assistance of IoT. 

 Likewise, human work is inclined to batches and a little mistake could wind up in a lethal blow for the entire assembling process. So utilizing AI and IoT rather than human work will take out that chance. Likewise, the additional advantages of utilizing AI in the assembling procedure incorporate quick information-driven outcomes, decreased operational costs, ideal yield, and prevalent versatility.

 AI in the Insurance 

The Insurance Sector is the most productive area to actualize AI in its procedures. The three primary viewpoints through which these reserve funds can be acquired are improving client experience, customizing arrangements, and dealing with the protection guarantee process. The first can be executed by utilizing AI chatbots. For customizing arrangements AI can be utilized to examine colossal volumes of client information and afterward dependent on that information AI can help in detailing increasingly customized approaches for their clients. Lastly, AI can deal with the administration of the case procedure by streamlining it.

 AI in logistics

Organizations all through the world have begun utilizing AI in coordinations. The distribution centers are getting completely computerized, robots are being utilized to pack and stock things and the conveyance courses are being refreshed for the snappiest conveyance. 

 Likewise, AI is aiding on a per minute or second basis. The administration of client information, their decision of conveyance area and the ETA for the area accumulates a great deal of information. This measure of information is hard to process. To counter this issue, AI is utilized. Additionally, the greater part of this information is dynamic, so AI is the best alternative to process it.

 Every one of these parts has been changed in a vital way after the combination of AI and IoT. and this has occurred in the most recent decade itself. 

In spite of the fact that AI has developed a long way, it is still away from arriving at its maximum capacity. That being said AI and IoT are developing at light speed. Each new day developers are finding imaginative approaches to execute AI. It is intriguing to perceive how AI could be actualized in parts like vitality, oil, gas, and digital forms of money. Additionally, an ongoing report has concocted utilizing Twitter information to distinguish open pestilences by utilizing AI. Such progressions cause us to accept that the uses of mechanization and examination are unending.

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Big Data Testing - The needs and challenges

Big Data Testing – Needs and Challenges

Big Data Testing - The needs and challenges

The new arena of Technology is Data science which is all about trying to understand and create a process that allows one to chart out new ways of thinking about the problems that are novel, or trying to use the existing data in a creative atmosphere with a unique and innovative approach.

Businesses are struggling to grapple with the phenomenal explosion of information in the digital space. Former database systems and business applications have given way to horizontal databases, columnar designs and cloud-enabled schemas powered by shared techniques.

Particularly, the role of Quality Assurance is very challenging in this context, as this is still in a early stage and the big picture is yet to be realized. Testing Big Data applications requires a specific and logical mindset, skillset and deep understanding of the existing and upcoming technologies, and pragmatic approaches to data science. Big Data from a tester’s perspective is an interesting aspect. Understanding the evolution of Big Data, What is Big Data meant for and Why Test Big Data Applications is fundamentally important.

Below are some of the needs and challenges that are the key requirements for Big Data applications to be tested thoroughly.

An in-depth understanding of Big Data is a key to successful Big Data Testing.

Need for Live Integration of Information: With multiple sources of information from different datasets, it has become mandatory to facilitate live integration of information. This forces businesses to have constantly clean and reliable data, which can only be ensured through end-to-end testing of the data sources and integrators.

Instant Data Collection and Deployment: The Power of Predictive analytics and the ability to take Decisive Actions have pushed businesses and enterprises to adopt instant i.e real time data collection solutions. These decisions bring in significant impact to business by leveraging the insights from minute patterns in large data sets. Big Data Testing demands deployment of instant solutions to stay in tune with changing dynamics of business and applications. Unless the applications and data feeds are tested and certified for live deployment, these challenges cannot be met with the assurance that is essential for every critical operation.

Real-time scalability challenges: Big Data Applications are built to match the increasing need to raise the level of scalability and monumental data processing that is involved in a given scenario. Several critical errors in the architectural elements governing the design of Big Data Applications can lead to catastrophic situations for the performance once the application is live. Hardcore testing involving smarter data sampling, analysis, and cataloging techniques coupled with high end performance testing capabilities that are essential to meet the scalability problems that Big Data Applications pose.

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Avgi is the best Web Development Company and Managed IT Service Providers. They provide customized solutions and services. Today Avgi Solutions has a wide range of services focused in the area of Information Technology. Avgi offers end to end engineering services, testing, Infrastructure Management Services (IMS), a spectrum of engineering design, secure applications, etc. For more info click here - https://www.avgisolutions.com/

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Progressive Web Apps and Improved User Engagement

Progressive Web Apps and Improved User Engagement

Building Mobile Applications are expensive. The alternative for the same was much searched while the pace of the application trend started in daily life. That is when the Progressive Web Apps takes advantage of the latest technologies to combine both web and mobile apps. Conveying the meaning in simple words, a PWA is a website that feels like a Mobile App. 

Defining Progressive Web Apps

PWAs are the latest technology in application development where an app-like experience can be seen in a browser itself. The idea behind the technology is to bring in an adoptable experience across all devices without having to download and install from app stores. Technically speaking, you can have multiple apps opened as a tab in your browser. More and more Web Development Companies have been investing in technology to provide service to their clients.

What’s the Difference?

A Progressive Web App should work on any type of device, regardless of the OS employed in the system/device. These apps are not to be confused with Hybrid applications. These Apps are hosted just like a website just as to adapt to the operating device, unlike hybrid apps that need to be locally installed and updated in regular periods as of newly released versions.

Here's the real deal! Can these apps improve User Engagement?

One of the key objectives of developing any technology is to get on board as many users or customers as possible. The PWA’s were developed and are growing in their market share because of the proven engagement by the users. The benefits of having a PWA in a brand’s inventory of application platforms, the advantages are quite valuable.

No need for App Store to host the app

There is no guarantee that having an app on the Play Store or the App Store will bring in more downloads. There’s much competition among many already having a similar application such as yours. If the user visits your website, he/she is already using your App. Sounds interesting right? Definitely Works!

Works offline

Once you visit a PWA enabled website, a cache of the content will be downloaded onto your device. This helps in faster loading of the website almost proving like an offline version of the website when no internet or poor connection. The data syncs to the servers once you get a better connection.

Get the latest always

Constant pop-ups to update your apps can be really irritating to users. But having PWA can get the user always the latest version as there is no local application and every time the fresh, new and latest is available to you as soon as you visit the site.

Instant loading

Users tend to leave the website if the loading time is more than anticipated. And this is the case with both websites and apps. This can be overcome with Progressive Web Apps as the data cache is available offline and helps to load the website in less time.

PWAs leverage the advantage of a much bigger ecosystem, plugins and enjoy the ease of faster deployment and easy maintenance compared to the applications in the stores. These can be built in less time and give an app user experience to users in the native environment. These apps have proved again and again with many case studies such as Flipkart Lite, BigBasket, Washington Post and many leveraging the advancement of technology which helps in building the customer-centric usage platforms.

With the increasing number of technologies such as Artificial Intelligence, Machine Learning, Big Data, etc, software development companies are bringing in more Human Resources to employ in the division. Banking Applications, Security Application, Social Media Apps,  Shopping Apps, Ecommerce Apps, etc with capital available have been experimenting with new platforms for customers. PWA as of now is a better platform than the existing apps in terms of providing user engagement.