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.