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How Big Data Analytics Can Create a Billion-Dollar Mobile App UX?

In the past couple of years, there has been a constant evolution of the technical aspects of the procedures of app development, and this has also been instrumental in bringing a major change in the non-technical side of it. And, big data needs to be thanked for all these changes.

There is nothing new about the fact that more and more people use multiple mobile apps at present, which is exactly what makes it a possible multibillion-dollar business in the future. And, for you to make sure that the apps help you earn the billions, you need to deliver the best possible user experience. The role of big data is undeniable in that regard.

With the modern smartphone users generating a huge volume of data on a daily basis, it gives developers a chance to make better mobile apps through improved Mobile App UX. The apps developed this way not only meet users’ expectations to the optimum, but also help businesses earn the bucks that they were aiming for.

So, how can big Data Analytics for Mobile Applications assure a major breakthrough in user experience? How does it help in creating that billion-dollar mobile application UX? Read on to find out the answers to all that.

The value of user experience in building the finest mobile application

What makes an app truly amazing? Of course, it has to be fast, attractive, and easy to use, but most importantly, it has to make sure that the users’ needs are met to the optimum. This is the reason why it is important to study user experience in as much detail as possible. After all, it helps the developers come up with better mobile apps because they get a clear and precise idea about what the user looks for in an app.

Think of user experience as this rich source of information that helps in identifying the right ideas needed to build new apps. Analyzing the ways in which the users interact with the mobile apps and their actions at the time of using it help the Mobile App Development Companies to pinpoint the solutions that can help in improving and upgrading the existing apps, along with garnering enough user-based ideas for the new applications they come up with.

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Detailed analysis of user experience through big data

As already mentioned before, developing a mobile app requires a thorough analysis of the users’ experience and understanding it deeply. Big data comes as a blessing in that regard because it covers all that you need to know about users’ experience using a mobile app. It gives you a precise idea about the important pain and focuses points present in the users’ experience.

As the entirety of crucial analysis gets completed, knowing the collective preferences of the users can help in establishing a complete list of wants and needs that the users have in terms of a mobile application.

Furthermore, it can be of huge help to the developers in terms of the new ideas and apps that they are coming up with. Analyzing big data related to the other top apps that belong to the same niche as the new one, the app developers can improve their latest creations. They can find out new and improved ways to make sure that their new apps are more in line with the expectations and needs of the users.

Read Also – How Artificial Intelligence is Driving Mobile App Personalization?

Let’s understand it further with the example of fitness apps. Building a great fitness app leads the developers to go through the other popular applications in this particular niche, like Fitstar, Runkeeper, or Argus, and find out exactly what works for these apps, and what makes users prefer these apps over the other.

Now, a detailed analysis reveals that there are features like a calorie counter, pedometers, along with many other unique aspects that make these apps gain an edge over those other in the market. So, now the mobile app developer understands the features that he can include in his new app, and the already popular features that he can do better. You can guess how big data analytics helps you in edging past the competition.

Understanding the use of big data for mobile app UX

Big data is helpful in delivering a complete user experience because it is larger than life. The amount of data that users generate has already moved way past the petabyte level into the zettabyte level, and even then it continues to increase at a brisk rate every single day.

In the next couple of years, the amount of data stored all over the globe is expected to reach yottabyte levels. In fact, it will not be an exaggeration to say that the volume of unstructured data made only in the last couple of years has gone way over the total amounts of data that was produced right before it.

In this situation, it is important for high-end analytics to come into the picture if these massive amounts of important data have to be put to good use. But, the efforts definitely make a lot of sense because it can make relevant data, which can be utilized for maximizing the success of present applications and developing more effective and inventive new apps.

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Big data: the recipe for the multibillion-dollar app industry

Going by the recent studies, the mobile app market has already hit the 365 billion US dollar mark, and it is expected to go up to over 935 billion US dollars by the year 2023. This is no surprise given the fact that most of the global users have completely transitioned from desktops to smartphones and tablets. In this situation, creating better mobile apps is clearly the next important step in the world of digital development.

The thing is computer apps are not as volatile as mobile apps. The mobile applications are much more inclined to be simplistic in their displays and features. Thus, it is of absolute importance that those specific but simple features catch the attention of the users.Big data analytics comes here as the finest way of collecting this kind of accurate and relevant information, which is slated to make big data just the ingredient you need for creating a billion-dollar mobile app UX.

Thus, it is clearly understood that the future of mobile apps goes hand-in-hand with big data. The analytical specialists come up with new and improved strategies for better interpretation of the massive amounts of unstructured data for discovering the important features of the next generation of applications. With that, more and more apps will end up being perfectly in sync with users’ expectations.

Summing up

Of course, one cannot know everything going on in the users’ minds, but one can know enough using the data that is available. It will not only help in improving the apps you have delivered already but also help you with the apps that are still in the process of being developed.

It is all about taking advantage of this huge storehouse of information in front of you and delivering the finest user experience. And, big data can be just the tool you need in this regard to propel you into that billion-dollar club.

How to Build Successful Mobile Apps using Big Data?

Going by the current reports, the number of users for smartphones is going to hit a whopping 3.8 billion by the year 2021. This sweeping increase in the number of smartphone users has also led to a rising demand for better mobile apps. Now, these modern apps also use tremendous amounts of data, and thus, a robust management tool for analyzing and managing this data has become a necessity. And, this is where the use of Big Data technology for building apps comes into the picture.

The fact that big data technology is nothing short of a boon for a Mobile App Development company is evident in the fact that the big shots of the game like Amazon, Starbucks, Uber, and more, have turned to it for successful app development. After all, the need of the hour is to get the right insights to know what the end-users want, and big data apps offer a huge help in that regard.

So, what are the ways through which big data helps in building successful mobile apps? Is it really worth the investment? Let’s find the answers to that today!

Delivering apps driven by customer preferences

First off, for any app to be successful, it has to understand the preferences of the customers and deliver the services exactly according to that. Big Data helps companies to understand the interests of the customers, and even track real-time information about their activities.

Understanding the demand and preferences helps the companies in getting ready for their future. They can begin planning in time and save themselves from future failures as they can meet the expectations of their valued customers.

It is also important to note in this regard that big data analytics helps businesses to plan in advance according to the demands of the customers. So, there is less and less scope of them ending up making any errors.

Besides, companies are able to come up with ways to improve their present apps, which enables them to retain the present users and draw in new users. This is great news for the revenue and the reputation of a company.

Read Also – How Artificial Intelligence is Driving Mobile App Personalization?

Using big data for end-to-end marketing

Big data is important to understand the present market trends and developing the right app ideas according to that. However, what most people do not know is how big data can come to their aid even after the formulation of that idea.

Mobile Big Data Analytics makes it easy for developers to store and extract open source codes. Streamlining the development process significantly reduces the time needed for coding, and thus, companies even save up on production costs.

The efficient marketing tools offered by big data analytics help in creating lists of target audiences and attaining considerable improvements in traffic. Predictive analytics as enabled by big data can help the companies in understanding long term use and success of their application, along with letting them take the necessary steps for boosting their product’s popularity.

Furthermore, there are services, such as data mitigation, to let companies access faster data transferring channels to connect data used between different apps.

Read Also – Reasons Why Everybody is Using Cloud Mobile Apps

The value of in-memory databases

At present, it is difficult to store data because it cannot be stored using RAM. The major tech-giants like IBM, Microsoft, and Oracle have come up with different in-memory databases, which are quite expensive.

Big data integration helps companies to store huge amounts of data easily in an organized way for long term usage. It is also helpful in making better use of the stored data. When data is stored in a secure and organized manner, it helps companies in multiple ways. It not only aids in better decision making but also comes to their aid when analyzing user choices and delivering the needful.

Effective analyzing of user experience

As discussed earlier, creating a successful mobile app involves analyzing the user experience critically. Big data can help in studying customer behavior to direct the attention to the core app functions. A thorough analysis of the user’s behavior lets the developers have the information they need to build an app. Thus, the user gets an app that lives up to their expectations.

Moreover, big data analytics let the developers determine the glitches that a customer can face, and update their apps accordingly to deliver the best possible user experience.

It takes nearly six months to create big data apps like Uber, but that is not where the role of big data ends. There’s customer usage, payment, banking information, location, and more to be analyzed to ensure increasing popularity and smooth functioning of the app. As big data studies user responses to the different app features, it enables the developers to come with more features for better user experience.

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Getting access to important real-time information

Customer preferences and needs are changing constantly, and, so are the trends. So, for the companies to survive in this highly competitive market, they need to be well-aware of these ever-changing trends. Accessing such real-time information becomes easier with the help of big data. It lets the companies make informed choices that improve both sales conversions and customer satisfaction.

Let’s get a better idea about this through the fitness tracking apps. These apps monitor the eating, sleeping, activity patterns, and the overall health conditions of the users. These apps need to have real-time information about the users to work effectively and help users have a healthy lifestyle.

The statics shown by the apps let the healthcare providers and doctors detect the health issues that a user might have. Furthermore, the use of accurate data also helps the advertisers to comply with the market trends in the middle of their campaign.

Role of big data in improving sales conversions

Mobile apps are made in a way that they help in increasing the company revenue. The role of big data extends far beyond local data collection. Thus, a company is able to establish its products to be effectively launched in different countries or states to widen the reach of their apps.

Further, by enabling the option of in-app purchases, you get to monetize the products. Successful attainment of this goal is only possible through studying the buying trends of your target audience. There are elements of big data like edge computing that lets companies study vital information close to its source.

It brings down the distance that the data has to travel, which in turn, reduces latency and the costs of transferring data. Moreover, big data lets the companies develop customized app settings depending on the needs of the users. Ultimately what it does is boost the performance of the application and encourage greater user engagement.

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Summing up

These days, mobile apps are like the core of the digital marketing strategies employed by businesses. And, improving user experience by taking into account all the aspects of app usage through big data technology lets a company stand out from the rest and be noticed by the target users.

Thus, developing mobile apps with the use of big data increases app visibility and draws in more users. Isn’t that what every company, jostling to make its name in this highly competitive era of online businesses, wants?