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Predictive Analytics for Mobile Apps: The Comprehensive Guide

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Prismetric Technologies
Predictive Analytics for Mobile Apps: The Comprehensive Guide

The alarming fact has shaken up the entrepreneurs from top to bottom who remain trapped in the positive thinking web and forbidden the word ‘failure'.

Once the project goes on the floor, the torrent of data is generated during sprint development, testing, source code compiling, project management, daily meetings, and several other tasks that can be turned into meaningful information when the patterns and the future outcomes can be pre-identified.

The predictive analytics analyze the historical and current data sets using statistical data techniques, algorithms, and machine learning, and predict the results like- the bottlenecks in the development cycle, hidden opportunities, and quality issues that may pop-up.

The predictive analytics helps in building loyalty, in addition to higher user acquisition by providing a bigger picture of the pain points that need to be addressed and the features to enhance.

Eliminating the guesswork, the engine precisely determines the touchpoints that are impacting user interactions and conversion rate, and by fixing the issues, the users will get delighted and browse or make the purchase repetitively.

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