Using Data Analytics to Enhance App Development
Using Data Analytics to Enhance App Development
Data intelligence is not constrained by any mobile app development domain. Each has its own way of interpreting the data and playing with it.
Join the DZone community and get the full member experience.Join For Free
Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.
Indispensable to the contemporary world of technology, mobile apps have enhanced the way people across the world use their smartphones. The days of using mobile phones just for messaging or calling are history. Today, enterprises, startups, and freelancers are enabling themselves to run an entire company via smartphone through mobile apps. None of this could have been made possible without knowledge.
Running an entire enterprise via smartphones is nothing like running a traditional one. Conventional trading and business methodologies are futile, and competition increases by the second. As a company hosting a mobile app for any utility service, it all comes down to the operational effectiveness of your app, efficiency of the services or products being offered, customer service in place, and most importantly, the user experience. It's the user experience alone that can either bring your clients to you or drive them away from your app.
Turns out, mobile app development companies are left with the billion-dollar question: How can you create the ideal user experience by balancing the aspirations and expectations of millions of users, scattered across cultures, countries, and continents?
The Unprecedented Growth of Data in the Last Four Years
More data has been created in the last four years than in the entire history of mankind. By 2020, we will have accumulated 44 trillion gigabytes of data, with data in excess of 10 billion megabytes being created per second. In 2017 alone, more than one trillion photos will be captured via smartphones, with billions of them making it to different social networking sites through different mobile apps. From fitness to restaurant bills, an unparalleled amount of graphical data will make it to the World Wide Web.
Thanks to cost-effective hardware, 2015 alone saw the shipment of close to 1.5 billion mobile devices across the world, with a majority of them being sold in the South Asian countries of India and China, the biggest markets on the planet. By the end of 2018, this number is expected to touch two billion worldwide.
Clearly, the data being generated is directly proportional to the number of smartphones being sold, and the surging numbers have facilitated mobile app development for multiple platforms, the major players being iOS and Android.
Understand Data and Where It Leads Us
Each time you sign up for any utility app, you are required to fill in your name, location, and other basic information. Some apps even register your interests and preferences relevant to the services or products they offer. Supplement this with the information coming in from thousands of users in your area, millions in your state, and if you are in China, the billion in your country... for the biggest virtual cab, food delivery, or newspaper service, there is a lot of data at their disposal. Unless this data is processed into meaningful information, one can't attain any knowledge.
Data in its processed form qualifies as information, and the conclusions drawn from the same information qualify as knowledge. This is where data analytics comes into play.
No corporate giant would be willing to let go of this knowledge. Investing heavily in business intelligence, enterprises are now using this knowledge to offer personalized user experiences. Taking a cue from Amazon, many of these mobile app companies have switched to personal recommendations, promotional offers, and social ads.
Surprisingly, enterprises across the globe have only used 0.5% of the data at their disposal, and are only just getting started on a journey that shall change the development and operations of mobile apps for good.
Data Analytics in App Development
Going by Gartner's findings, data in the virtual world is composed of three components:
- High velocity, which depicts the pace at which data is originating, along with changing dynamic volume.
- Volume, which denotes the data being generated through the use of digital platforms.
- Variety, showcasing the versatility of data — how data can be generated into different forms, such as videos, images, texts, transcripts, etc.
Together, these 3Vs constitute the foundation of data upon which mobile app development is being structured.
According to a report in Forbes, a Fortune 500 company's ability to increase its access to data by merely 10% could add as much as $65 million to revenues. But how is it done?
Data, for mobile apps, plays a dual role — it's both a strategy and an outcome. For the evaluation of sales and marketing of an app, the previous outcomes can be used to formulate a strategy, while startups can use data in the public domain to create their user design. In the realm of mobile app development, data analytics works on multiple fronts. From app design to user design, and from marketing ads to supply-chain management, data is employed to increase the overall efficiency of an enterprise.
Data analytics works in three dimensions: past, present, and future. Using records, real-time analytics, and projections, mobile app development companies can enhance their work and impart their users with a user experience that is personal and unparalleled.
App Development Changes in the Age of Data
In our recent webinar with Forrester, we pondered the possibilities of using data to curate an ideal development process complemented by a customized user experience. Given that the average length of a mobile session won't exceed 72 seconds, it becomes inevitable that mobile companies will invest in data intelligence and analytics in order to work towards the growth of their mobile apps.
Five out of ten users never return to an app after they have had a negative experience. Therefore, it is necessary to have a perfect user experience the first time. Unlike a few years ago, UX/UI is no longer just about helping your customers with a simplified design or an engaging page but about giving them what they need quickly.
Unleashing the power of data, mobile app development companies are now assisting users with an experience they want, even when the users themselves are unsure as to what they are looking for. Ranging from Netflix to a local pharmaceutical company, each one of them is investing heavily in data intelligence. The virtual future is already under construction with data worth trillions of Gigabytes at our disposal.
Data intelligence is not constrained by any mobile app development domain. Each has its own way of interpreting the data and playing with it. There is no single way of enhancing mobile app development and user experience through data analytics.
This our first article in a series on data analytics and mobile app development. Our objective is to unearth the potential data has to offer, for enterprises looking to attain a strong virtual presence.
Published at DZone with permission of Amit Manchanda , DZone MVB. See the original article here.
Opinions expressed by DZone contributors are their own.