Research Article
A Data-driven Digital Analytics Framework for Mobile App Analytics
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 175 - Issue 8 |
| Published: Oct 2017 |
| Authors: Abdul Majed Raja R. S. |
10.5120/ijca2017915619
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Abdul Majed Raja R. S. . A Data-driven Digital Analytics Framework for Mobile App Analytics. International Journal of Computer Applications. 175, 8 (Oct 2017), 21-23. DOI=10.5120/ijca2017915619
@article{ 10.5120/ijca2017915619,
author = { Abdul Majed Raja R. S. },
title = { A Data-driven Digital Analytics Framework for Mobile App Analytics },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 175 },
number = { 8 },
pages = { 21-23 },
doi = { 10.5120/ijca2017915619 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Abdul Majed Raja R. S.
%T A Data-driven Digital Analytics Framework for Mobile App Analytics%T
%J International Journal of Computer Applications
%V 175
%N 8
%P 21-23
%R 10.5120/ijca2017915619
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Mobile App has constantly evolved to become the most critical asset of every organization. As much as Mobile App has evolved technically, it is also highly important to continuously measure the App in order to make better Business Decisions. This paper has laid out a basic framework of Mobile App Analytics by defining some Key Performance Indicators and explaining their importance in deriving actionable insights to help Product Managers and Business owners make data-driven decisions.
References
- Digital Marketing, Adobe Blog, 2016. Do You Need Mobile App Analytics, Web Analytics, or Both? https://blogs.adobe.com/digitalmarketing/mobile/do-you-need-mobile-analytics-web-analytics-or-both/
- Digital Dialogue, Adobe Blog, 2016. Data Science and Digital Analytics https://blogs.adobe.com/digitaldialogue/analytics/data-science-and-digital-analytics/
Index Terms
Keywords