CLOUD-BASED DATA ANALYTICS FRAMEWORK FOR MOBILE APP EVENT ANALYSIS

Authors

  • Pranav Vilas Vaidya School of Computing Science Engineering, VIT Chennai, Chennai, Tamil Nadu, India.
  • Janaki Meena M School of Computing Science Engineering, VIT Chennai, Chennai, Tamil Nadu, India.
  • Syed Ibrahim Sp School of Computing Science Engineering, VIT Chennai, Chennai, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19639

Keywords:

Mobile Analytics, Mobile Metrics, Data Collection, Segmentation Analysis, Retention Analysis, Acquisition, Engagement, Retention, Nil

Abstract

Mobile analytics studies the behavior of end users of mobile applications and the mobile application itself. These mobile applications, being an important part of the various businesses products, need to be monitored and the usage patterns are to be analyzed. The data collected from these apps can help to drive important business strategies by identifying the usage patterns. Enriching the data with information available from other sources, like sales/service information, provides holistic view about the solution. Thus, here we aim at exploring some set of tools that give capabilities as event trailing with higher extraction of its linguistics. If the application is used worldwide, the data generated out of it is Big Data, which traditional systems cannot handle. We therefore propose a special framework for efficient data collection, storage and processing at Big Data scale on cloud platform.

 

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Published

01-04-2017

How to Cite

Vaidya, P. V., J. M. M, and S. I. Sp. “CLOUD-BASED DATA ANALYTICS FRAMEWORK FOR MOBILE APP EVENT ANALYSIS”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 207-10, doi:10.22159/ajpcr.2017.v10s1.19639.

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