Wondering how does the rise in the mobile app development niche is really affecting the big data? If yes, probably we’re on the same scale.
However, honestly, for a while, this question has been a difficult nut to break among business experts.
Nowadays, mobile apps have clearly improved the way people all over the world practice their smartphone devices. The days have passed when people practice mobile phones only for calling and messaging.
The present is a digital era where all the enterprises, startups and other business people are making themselves manage an entire business via smartphone by mobile applications. All of this could have been probable with knowledge.
No doubt, this digitally connected world has brought exceptional growth in the mobile app development ecosystem.
It’s a time when everyone is hooked up with their smartphones, so it is pretty evident for businesses to spend in mobile app development processes for targeting their audiences.
Plus, today we humans rely on mobile apps present on our smartphone devices to accomplish various jobs like project tracker, diet director, conference planner and much more. All these apps include the tremendous use of data, which requires to be examined by a sturdy data management device.
Big Data Fuels Mobile App Development Processes
Big Data management helps in getting insights from the generated data of the applications, which users use almost every single day.
The accelerated growth of the data is letting the app developers leverage the analytics to fuel the app’s complete development process and make it a fortune.
Let’s hold a glimpse at how Big Data technology makes the mobile app development process for improved UX.
Using Big Data For Enhancing The Complete Mobile App Development Process
No wonders, data is in excess these days. Every single day, millions of bytes get transferred to and fro among clients and companies. Developers can make usage of this information to produce more appealing and intuitive apps.
With a vast number of associated devices, the volume of data each individual product has traversed sparse bounds. Developers, to build apps more helpful, require this data to be accessible in an organized manner.
Since the complete data generated will pass the zettabyte level in the coming years, big data analytics is undoubtedly expected to be present there for high-level analytics and deriving valuable penetrations from the huge provisions of data.
The Epidemic Growth of Data in the Last Few Years
Well, in the last few years, an immense amount of data has been produced than ever before by the entire humankind. In the year 2017 solely, more than one trillion images were taken with smartphone devices, among which, billions of them were used on various social networking platforms by different mobile apps. From accommodation to restaurant bills, there is an immense amount of graphical data on the search engine. Possibly, by the year 2020, we will acquire approximately 44 trillion gigabytes of data, with more than 10 billion megabytes of data per second.
Thanks to the highly efficient hardware, the year 2015 witnessed shipments of almost 1.5 billion mobile devices all over the globe, most of which are being marketed in India’s South Asian nations and China, which are the most significant markets. By the end of the year 2019, the number is expected to reach two billion globally.
Apparently, the data being produced is directly proportional to the number of smartphone devices marketed, and the growing numbers have helped mobile app development for the influential players on varied platforms, iOS, and Android.
No doubt, the big data analytics brings intensified efficiency to mobile application development in the following forms in order to assure the progress of the mobile application.
In addition to this, big data can augment the means of building innovative mobile applications for the prospect by supporting mobile app developers in the following ways:
Understand Customer Requirements
A prominent mobile app is not one which seems remarkable but one which matches the requirements of customers. Using big data, you can examine the remarkable volume of data that users produce on a daily basis and turn it into appropriate insights. After knowing how users from diverse experiences, age groups, lifestyles, and topography relate, respond, and associate with mobile apps, you can form plans for new and effective apps and expand the abilities of present ones.
The example here would be Uber. Since Uber utilizes big data in a considerable way to enhance
its customer service. While using uber, whenever a customer calls for a taxi, Uber interprets real-time traffic situations, availability of a cab nearby to the location, expected time for the trip, etc. and gives time and price assessment for better user engagement.
Make User Experience Analysis
Besides, understanding client requirements, mobile app development also demands you to know how users practice your mobile application. By using big data, you can conduct specified user experience review, get a complete 360-degree look of usage and the UX, assess the engagement for every characteristic, and discover the most sought-after characteristics as well.
More so, you can know which components of your mobile app make a visitor spend more time and which makes them leave the app. Afterward, you can utilize this knowledge to build a list of the very characteristics that users necessitate, plan for variations or alterations in the design, enrich the user activity, and maximize user engagement.
Get Access to Real-time Data
Enterprises these days need to remain in touch with evolving trends to stay ahead of their opponents. Big data aids a big deal in following up with the terms. By analyzing real-time data, a business can make real-time, data-driven choices to promote user satisfaction and take in a more significant profit.
Fitbit can be the best example that can be considered. By utilizing big data, Fitbit tracks the real-time health data of the person, which includes eating, sleeping, and other complete activities to enable healthier lifestyle preferences. The data accumulated by Fitbit, not just aid people in becoming healthier. Still, it too gives physicians and healthcare practitioners a fair idea of the overall health of a person.
Develop the Right Marketing Strategies
Possessing complete information about users which includes their requirements, expectations, likes, dislikes, and more, a business can create the appropriate marketing plans about when, where and how to target your likely target users. This way, the business manager can make more substantial choices of all sorts, from what kind of push notifications to convey and what approach to practice in building user engagement.
By using big data, firms can examine users’ demographic information, buying patterns, & social behavior to mitigate retailing details according to their current concerns. By building the appropriate tactics, a business can improve comfort and eventually, make application revenue.
With big data, a business can optimize the search and make it less complicated and more intuitive for users, the complete app experience. By analyzing data from client inquiries, a company can prioritize results; give a reliable and more contextual experience that matters the most to users. A company can also sort data and traits to produce more intelligent self-service for instant resolutions.
Amazon utilizes big data to facilitate predictive analysis and gives product recommendations based on a user’s previous purchase records, goods they have seen or preferred as well as top products. With the integration of recommendations features in the purchasing cycle, Amazon abandons the most suitable goods and gives a personalized buying exposure to every customer.
Big Data As a Valuable Aspect of Forthcoming Mobile Apps
In an extremely mobile world now, mobile applications have become the best part of all communication plans for all businesses. It is assessed that the mobile app industry will strike $189 billion by the year 2020. Nevertheless, thousands of companies around the world are developing mobile applications every single day; it is by technologies like big data through which you can boost app-performance and combustible user engagement.
This big data technology places real-time data to work to provide customized and bespoke experiences that cater to the requirements of the users in the most productive way. If the mobile is fundamental to your go-to-market policy, it’s time you got the most of big data to develop more useful mobile apps that drive both revenue and value.