Using Data Analytics to Enhance App Development

Using Data Analytics to Enhance App Development

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?

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.

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.

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