People reach for their mobile phones for every conceivable use. Whether it is checking work emails during leisure hours or browsing social networking sites during work hours, the line between work and play is becoming increasingly blurred. The table below gives a clear picture of mobile data usage surveys past, present, and future:

mobile data, data analytics, mobile data analytics
A PwC report shows how one exabyte of data traffic in 2000 (one billion gigabytes) increased to 18 exabytes of traffic in 2013 and is projected to reach 190 exabytes in 2018 at a compound annual growth rate of 61%.
No longer restricted to personal or remote business use, mobile usage has increased by leaps and bounds leading to a sudden global boom in mobile data traffic in the last few years. While marketers utilized this by zeroing in on the prodigious opportunities for targeted and personalized marketing among mobile consumers using mobile data, enterprises were quick to catch up by tapping into the nascent potential of this big data to improve user experience.

PwC

Mobile Data Analytics for Business

Mobile Analytics or the measurement and analysis of mobile network generated data is the ideal way to find out how users are interacting with a business. There are currently five types of real-time mobile data which can be processed for analytics:

  • Platform Data – User operating systems and device information to understand adoption and usage trends
  • Business Data – Revenue information to make forecasts and analyze ROI
  • Engagement Data – Usage, user experience trends and preferences
  • Performance Data – Crash and load information
  • Contextual Data – Actionable insights for contextual analysis

 

Mobile Data Analytics Tools for Big Data

Ever since mobile data technology made it easy for people to carry or access their data and apps on the go, businesses have been single-mindedly moving towards a single goal – processing and analyzing data in real-time, by using sophisticated mobile data analytics tools. Some of the commonly used analytics tools for measuring mobile metrics are:

Google Mobile App Analytics – For tracking new and returning users, engagement, and outcomes for Android users

Flurry Analytics – For monitoring usage, sessions audience, events, user devices on Android devices

Apsalar — ApScience – For tracking analytics across multiple apps, real-time data, engagement, events, users on iOS and Android

Countly –  A multi-platform compatible tool providing user, session, region, device, carrier, and platform metrics

Mixpanel – Provides in-depth analysis of users, engagement, events, demographics

 

Conclusion

In the hyper-competitive market scenario, today, the need for insights and information is actively driving innovations in mobile data usage and data analytics tools to influence positive business outcomes. Several businesses have realized, a powerful mobile data analytics strategy can be turned into a competitive weapon. This has spurred a host of innovative mobile analytics solutions to measure, track and analyze the in-depth insights extracted from strategic data assets to improve business performance.