How Big Data Is The Key to Develop Foolproof Mobile Applications
How Big Data Is The Key to Develop Foolproof Mobile Apps
With the number of smartphones users in the world projected to reach 2.5 billion users by the year 2019, the role of smartphones in businesses has increased by folds. A lot of companies have started paying attention to the requirements of the smartphone users and are coming with intelligent and user-friendly mobile applications that a typical smartphone user will find it easy to operate.
As a number of businesses are competing across various niches to get their apps into the smartphones of their target audience, the rise of technological advancements, especially big data and artificial intelligence, have started playing the differentiator.
Companies which are making use of the advantages of big data are making a real progress in becoming one step closer to giving the best experience to their customers. So, what makes an ideal mobile application?
Developing a Perfect Mobile App
Ideally speaking, a perfect mobile application is something which runs on a reliable and 100% secure technology and most important of all, is able to deliver exactly what the customer wants, thereby providing 100% customer satisfaction.
Of course, it isn’t possible to be perfect in every aspect of mobile app development company but you can be a bit closer to that model of perfection sooner than you expect by leveraging the advantages of big data. From the impenetrable backend to the most interactive user interface, big data analysis can prove to be useful in eliminating the problems and reaching an optimum and more suitable solution for your real-time problems.
Big Data Analysis in Enabling the Best User Experience
The primary objective of every business is to achieve complete user satisfaction which will automatically bring in the revenue and big data helps to achieve exactly that.
Data is everywhere and data can tell us anything we want. It is up to us to look in the right place. There are a lot of unstructured data left in the world and it would be totally worthwhile to analyze them as the results of the data can be transformational. Through the analysis of big data, you will be able to reach valuable conclusions regarding your business directions, customers, revenue and so on.
Big data can be used in mobile applications in two ways – it can either be a part of the solution or it can be used to drive the solution.
For example, in Uber, big data is used to analyze the real-time traffic status, the condition of the route, the availability of the nearby cabs, parking areas and so on to feed information to the users. Big data plays a major role in delivering authentic and reliable information to the users of Uber as well as its users.
Let’s take another example: a physical retail store specializing in women garments that want to make its entry into the world of mobile applications. In order to launch an e-commerce app, the app developers can make a pre-analysis of the current top mobile applications which the same specialization using big data. Further, they can identify the features that their users find useful, the pain points that the users aren’t fond of and create an application from scratch. This application created based on the conclusions from the big data analysis will become the version of all the current best apps put together.
Either way, big data analysis is used to reach the same goal – better customer experience that inches towards perfection.
Answering Questions about Customers Using Big Data
If you want to test the water before starting to rely on big data for major decisions, you can start small too. Start by getting answers to the questions about your customers through big data, like the best time when you can send a notification to increase its click rate, the type of email that will increase your conversions, the customization of the pop-up box that could increase your subscribers and so on.
Big data isn’t just for making big decisions. These small decisions can prove to be instrumental in increasing your revenue and more importantly, to understand what your typical customer wants from you.
Big data can greatly help in understanding what runs in the mind of your customers when they browse your app, what they expect to see, why some leave immediately, are they able to use that new feature you introduced, how many are noticing the new offer banner you had put up, do they like watching videos and a hundred other details about customers from each target segmentation. From the proper analysis of the data and the insights gathered over years, you can make transformative decisions.
To start with, it is important to update the data with new insights, categorize the data you have at hand and ensure it is all reliable and authentic. Structured data are easy to work with but unstructured data will have some untapped surprises for your business. Collect insights and data from different sources as much as you can and keep them categorized. Constantly study the data and run tests to reach the right solution.
As you keep running your apps, collect real-time data from the applications and use it to refine the application better and sooner, you will have a near-perfect application that stands out from its competitors by a large margin.