A Review of Trends and Technologis in Business Analytics

Praseeda C K, Dr.B L Shivakumar


Analytics are becoming more and more part of the decision making process of management and operational work. However, the definition of this term can be rather ambiguous, and is constantly changing. In a nutshell, Analytics can be defined as a set of practices, skills and technologies designed for investigating and analysing business performance in order to achieve more strategic decision making and structuring in the future. There are many different ways to investigate and analyse business performance in order to restructure processes for more profitable results. Analytics produce fact-based business intelligence through the automated discovery of patterns, relationships, and trends in data. Analytics inform decision-making with descriptive and predictive modelling of future states and conditions. Most organizations now use analytics to uncover insights from marketing data to target customers with new programs. Others are using analytics to mitigate risk and project returns on investment. Companies and organizations of every size and in every industry are looking at their data to see if they can use it to make predictions that will help them be more effective, more customer-centric and more profitable. The onslaught of the Big Data phenomenon and development in corresponding technologies is giving rise to new trends in the Analytics domain. The current trend showcases the rise in value for integration and consolidation of information for forming policies and meeting strategic objectives. This paper reviews the trends, opportunities and underline technologies in business analytics.


Keywords: Analytics; Descriptive; Predictive; Prescriptive; Big data

Full Text:


DOI: https://doi.org/10.26483/ijarcs.v5i8.2360


  • There are currently no refbacks.

Copyright (c) 2016 International Journal of Advanced Research in Computer Science