Use of smartphones have surged to a level beyond imagination and mobile apps have become an indispensable part of our lives. The tremendous amount of data that customers use on a regular basis can be gathered and meaningful insights can be drawn from them that would eventually help a lot for building mobile apps. The insights like how a user makes a purchase or what influences them helps a lot in building a successful app.
The app market continues to grow but this implies that customers have n number of choices for a single task which leads to an overwhelming number of unsuccessful apps.
With this cut-throat competition and such hostile conditions, mobile app developers need to grab every advantage and any opportunity in order to triumph over the competitors. Big Data can definitely be the key to this situation. With proper usage of appropriate tools and analytics, big data can help you to build apps which most correctly caters to the customers need and offer a far better experience and thereby helps you to be a part of the minute 0.01% success.
Now the basic question arises .. What makes Big Data big for Mobile apps? No matter what your app caters to whether it’s a simple app like BP tracker or a generic one like investment planner all that you need to for success is to gather information about your users. The data or the information is the petrol that fuels your app, it contains intricate details about a user’s behaviour that is critical to app usage. Studying user behaviour help to solve a lot of business problems. For eg: What are the factors that will lead to app download? What are those cases that will drive satisfactory app usage? What scenarios could prove to be a turn-off? And what can lead to discontinuation of app usage?
During the onset of the internet collection of such gargantuan volumes of data was low but innovators like Facebook and Google initiated a huge inflow of user data. It eventually led to the creation of some structure that could filter all sources of data and analyze it and present in a format that will give a proper insight and will be implementable. Legacy infrastructure gradually evolved to the concept of Big Data. Big Data offers a pool of data to the app developers which includes everything right from the restaurants they visit the music they have googled. So with such information at hand app makers can exactly map the kind of interface, user experience or notification the users will want. So Big Data will help in the following:
1. Enhance User Experience
Analyzing the user experience for app development is the most critical aspect.
Big Data Analytics help you to achieve a comprehensive overview of the user behaviour and gives you a clear picture of the points you need to focus on. ML and Big Data Analytics algorithms will help you understand the pain points of your target audience. Big Data Analytics will also help you figure out what is attracting major traffic. So consistent analyzing in real time will help you to enhance your app’s user experience and add value to it.
2. Mobile Marketing
While considering this aspect Big Data has huge implications. Big Data provides the cutting edge technology and competitive edge to the organizations. Predictive analytics can be used to filter out the market segments with maximum potential and also identifies the customers’ audience and thereby help in building a mobile marketing strategy accordingly.
3. Continuous Development
As discussed earlier the success rate of mobile apps is pretty less and hence the mobile app development market is always clouded by the danger of failure. Hence the app makers should leverage all the latest possible technologies that could lead to success. Big data, combined with other technological tools like the IoT and chatbots, promises to be that opportunity. This allows the developers to understand the customers’ need and help them to constantly work on their app and improve it as per need. However, the pressure to take advantage of the insight drawn from big data lies completely on the makers.
Mobile apps are mostly B2B players and they need to be refined and structured in front of the potential customers. Big Data Analytics is by far one of the best tools to customize and curate mobile apps as per the requirement of the customer segment that it caters to. Hence undoubtedly the future of mobile apps is inevitably associated with Big Data.
Related blogs:
Top 7 Mobile App Development Trends 2018
How to Promote Your Mobile App – An Algoworks Guide
Apache Spark For Big Data Analytics
References: hiddenbrains, theinnovationenterprise, iflexion, anadea, iamwire, smartdatacollective
Rachit Agarwal
