Visual Analytics for Dynamic Forecasting of Employee Attrition Using Business Intelligence Framework

Abstract

The Business Intelligence (BI) framework faces challenges from emergent application scenarios  like news and social networking analytics, characterized by unorganized source information, unclear analytical metrics, and a lack of support for suitable representations of information in  standard tools. BI challenges arise mostly from the need to process high-speed and huge volumes of data to understand and elucidate complex underlying processes. This study presents a Visual  Analytics framework for Dynamic Forecasting of Employee Attrition (VA-DF-EA) using a  Business Intelligence framework. BI emphasizes critical performance metrics, consolidating data from many systems into a comprehensive business information repository, and encompasses organizing, estimating, and DF-EA in a historical, contemporary, and prospective context. The  results of this study indicate that the suggested VA-DF-EA may ascertain useful information  more rapidly, facilitating real-time visual and business analysis and insights appropriate for the  BI industry.