Data analysis is intertwined with the functionalities machine learning offers. Data is simple in its form and is generated by applications daily. Each command made on a mobile application is data generated. The multiplication of each command by thousands of users cut across different countries and nations makes for bulk data known as "Big Data". This big data contains queries, information specific to clients by age, location, sex, and even financial expenses made on mobile stores. The conversion of these Big Data into useful information is what Data Analysis is all about. In today's world, whoever can understand the customers better is one's privy to receiving the most sales and getting ahead of the game.
Data analysis application is very important and vital to the success of any mobile application. Understanding the features that are most preferred by customers is quite vital to improving UIX. It is almost impossible for updates on the app software to be made without all this information made. Customization of ads by the customer is only possible by analyzing the activities of the users on the mobile application. This is where Machine Learning in mobile application comes in.
For there to be a proper understanding of your customer base and your user preferences, ML algorithms must be added to the development. Machine learning is a tool that indeliberately pinpoints the sequence and the presence of patterns in users' activities which in essence "data analysis". Big data analysis is only possible at a fast pace in real-time by the actions of Machine Learning. For improvement in the stability and reliability of applications, the large pool of data derived from customers has to be analyzed in real-time. This way, there are no surprises and unforeseen declines.