The important relationship of big data and mobile application development

dhrumitshukla profile image Dhrumit Shukla ・4 min read

Enterprise mobility adds liquidity to change stationary processes, boosting its global reach. Developing enterprise mobile apps with app creation software now is an essential component of each enterprise strategy.

Big data has enveloped around a huge cloud of hope and mystery. Although many have attempted to explain what it is all about, there’s still a massive gap as to how it is connected with mobile devices and mobile applications.

Mobile is especially well-suited in several mobile phone users. Moreover, businesses are funneling their effort and resources into it through bringing mobility to business with applications. With the Big data term, a new term has been created, which is mobile big data because majority of data and traffic are generated by smart phones. This data technically is not different from data made from a traditional site. The difference is smart phones are getting the popular mediums to perform all kinds of internet work. With a smart analytics application, the mobile phones and devices continue to make a series of data, which fuels the big data terminology.

There are applications that basically try and make certain they help in any way possible. Optimized and personalized, the applications try tracking searches and used data frequently to provide the best solution. The apps use a global database for mobile experience ease and provide the best result. There’s been a big move towards smartness in advertising and marketing with the amount of response that a smart phone campaign could provide. However, with big data, the smart would become smarter. Using data analytics, suggestions on what, how and where to target the audience could be made accurate and could lead to definite boost in traffic.

With data analytics, a lot of people continue to cribbing about the hardships they’re facing. However, the thing that they should focus on is that the system is beneficial to firms and businesses. They could get personalized help to make their marketing a success, using applications that derive data from a collected database.

With so many mobile app development services, data analytics fuels mobile apps. Some examples include Cortana and Siri. Both are proactive assistants. Cortana is a product of Microsoft while Siri is for iPhone. Siri has been loved by all users of iOS and turned out to be very useful as well. This time however is all about Cortana. It used big data for predicting all results of FIFA matches and has even left behind Siri. Roambi is an application and one of the biggest example that shows how data analytics could be used. It’s a unique blend of powerful analytics functionality that’s wrapped in a fluid, simple and easy to use mobile experience, which makes data friendly to use as well as easy to understand.

Fitness applications, with the help of the big data concept are thriving. They have the tendency to gather day-to-day data of all who registers. By determining what diet one consumers or which exercises one does, the application could suggest a better diet plan or a more appropriate exercise and so on. The applications that use data analytics create a huge database of all activities of a user, from workouts, the distanced walked or running to sleep patterns. Travel websites and apps already have been in the league since the dawn of the internet. From flights prices comparison, trains and hotels to booking hotels, the apps, with the help of huge data are doing extremely well.

When it comes to the intersection of big data and mobile technologies, aps developers are on the front line. The development teams may be ‘mobilizing’ current enterprise applications or mobile building from the ground up. However, they should integrate with back-end systems and data while providing a user experience that’s engaging on a new platform. Huge data’s been marked as the future of technology and is beginning to be so. Furthermore, applications are going to benefit the most. A survey reveals that web traffic will come from wireless devices, in comparison to desktops, which heavily contribute to data analytics growth.

Mobile applications that are fueled by huge data and analytics provide better solution. Mobile apps that are analytics-powered could transmit data in real time and all over the world. Nevertheless, it’s not sufficient to say that application development is a panacea. Enterprise applications have to be able to share information on tablets and smart phones, particularly as the latter replace s the old-fashioned clipboard among workers in field jobs, like men on the docks and truckers.

The relationship between data analytics and mobile applications are very relevant. It provides numerous benefits to smart phones users wherever they may be in the world.

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Dhrumit Shukla


Dhrumit Shukla has been working as Business Development Manager in a software development company named TatvaSoft since 5 years.


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