The industry has changed, and the way applications are created and how they get dispersed to the app stores have also changed including the meaning of taking advantage of significant content and big-data technologies or designing a portlet-based application that can cross over to Windows, Android, and every other mobile device as well. These days there are great tools out there including IDE service builders that generate your web service automatically.
There are just a few industries yet to be touched by the data-obsessed people. Analytics and so many other new-age technology tools that are designed to make the job you’re working on more productive easily accomplishing its goals have come into play. Although, big data seems too complicated on the outside, at the moment online resources are always making a hefty amount of data more secure and user-friendly every day.
Analytics has penetrated the global consciousness so much to the extent that people from everywhere around the globe are becoming accustomed to the idea of what can be accomplished with mountains of data at their displacement and also with the right tools for processing.
The development of mobile applications is presumably one of the best examples of a movement that has sporadically transformed to the apex, with the aid of business intelligence and analytics.
“The app market has the ability to grow into 100’s of billions of dollars by 2020, either through the support of advertisements or sales,” according to the President and co-founder of Pyze, which organizes business intelligence that supports app developers in monetizing their creations, Prabhjot Singh, during an interview with TechRepublic. Of about three million apps presently available on the Internet, just about 50 percent or less of the developers make above $500 monthly.”
The more we spend time in the virtual world, the more data we accumulate. The stuff we look at or watch, what we read online, the time we spend doing all these things, and how much time we are likely to stay engaged with an app, every information is essential to businesses, only if the company knows how to utilize data to determine actionable steps.
It is possible that you have one of the best apps in the world, but if your technical layouts or displays aren’t being utilized to enhance the appeal of the users, a less worthy app may be able to bug in and steal your customers. The mindset of business intelligence is that the process can assist you to improve your app and remain on the right path of that 50% divide.
The point of view here is that there are so many minor things that make a mobile app seem to be better or look better than another one. By using this machine learning, data science, analytics and a whole lot of data-combing tools, what you get at the end is a better picture of the app user and how it is being utilized.
If for example, you developed a mobile dating app, and you’re satisfied with the numbers of your download, but you’re looking to unfold into the next tier. You’ve also tried several new features, cleaner presentation, and better user interface, but you can’t seem to overcome the hurdle.
At this point, business intelligence comes in. Firstly, by cross-checking the data input compiled on your user base, business intelligence software will give you a view of things that you would have missed during those incongruous data points.
For instance, most of your app users are not using the app for social service at all, rather those who spend the most time on the app and download it, are most times just using it as a meet-up app in a group. To avoid this setback, you can make substantial changes, adjustments needed to enhance the appeal to your users base and pivot. These in-depth tools will give you a sky view into the nitty gritty of your mobile app’s world.
The Essence of Business Intelligence in Today’s App World
With big data taking control of the league of mobile app development, being left out of business intelligence is like having a Lexus Jeep without the key. You may still be able to complete the job, but not with all the resources available. Soon developers will begin to use those technics to boost their products and make it even more appealing.
The style of analytics and business intelligence empowering various sectors is not a new thing, it’s been on for over a decade now. See this example on how mobile app development is changing by the recommendation of business intelligence way back in 2014 before AI and machine learning became an anonymous buzzword in the public space.
The truth remains that data is out there in the widest space waiting patiently to be explored and utilized. A reason why the legacy industries like the news platform are facing sporadic changes is due to the introduction of data science. Just take a look at the achievement and abundance of data-canny online venues that knows how to sell to their consumers and entice their audience, main while older media with same old legacy have struggled in present times.
Most of this is caused by the amiable approach for younger companies to engage with analytics and data, understanding how their consumers will like the product and the best way to present it for them to keep coming back.
Analytics and business intelligence are very simple tools like any other whether it is focus groups or marketing survey.
For so many years, companies have been making use of samples and data to boost their decisions. However, because of the advent of computers and Internet, we have access to more data than never before, allowing us to roll deeper into our businesses while interacting with our customers. With analytics and business intelligence, you can now access the tools for processing much more information efficiently than ever before.
With the way things are going, soon, there’ll be more data like never before. The best of mobile apps to be developed in the nearest future will be privileged to take full advantage of all these tools made available to them.
Whether it is in the strategy department or procurement marketing, if a company uses big data adequately, they will obtain unique insight that may be turned into a future-proof conclusion and other action alternatives. Data organizing and data management are just but the first step. Big data analytics enhances intelligent filtrating and connection of data, in other to generate sustainable information. And that is when the real value of big data is actualized.
This post is part of our contributor series. It is written and published independently of TNW.
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