A Review of Data Analytics Adoption in Business Industry

Authors

  • Chong Fong Kim Faculty of Information Technology, INTI International University, Nilai, Negeri Sembilan, Malaysia.
  • Deshinta Arrova Dewi Faculty of Information Technology, INTI International University, Nilai, Negeri Sembilan, Malaysia.

Keywords:

Descriptive analytics, Predictive analytics, Big data

Abstract

This paper presents a review of data analytics adoption in various companies from the different
business industry. An introductory analysis on how these companies solve problems encountered
and relate their action plans with business analytics and/or business intelligent solutions especially
in Customer Relationship Management (CRM), Supply Chain Management (SCM) and Decision
Support Systems (DSS). Many business organizations and communities are finding and getting
advantages from powerful knowledge by analyzing the resource of data analytics. Data analytics
actually is only part of what big data can offers. By using analytics, an organization gets even
greater value in order to serve its customer better through changing how they think, work and
interact with them. Those new insights come from the powerful knowledge of big data and resulted
in powerful actions to gain competitive advantages. Some companies manage to transform their
business models by driving growth in new sectors using new ways with the help of big data and
its analytics. This paper used three major companies in the study i.e. Starbucks, Heineken N.V and
Electronic Arts (EA). The studies found that all those companies are able to meet their market
supply and demands opportunities by utilizing their past historical data in the data warehouse to
understand the underlying hidden trends and patterns that will enable them to make better
decisions

Published

2019-11-19

How to Cite

Fong Kim, C., & Dewi, D. A. (2019). A Review of Data Analytics Adoption in Business Industry. INTI Journal, 2019. Retrieved from https://iuojs.intimal.edu.my/index.php/intijournal/article/view/367

Issue

Section

Articles