Retention Analytics Dashboard IBM Research

As difficult as it has become to locate top performers, keeping them on board is proving to be an even greater challenge. How can we proactively identify which employees are at high risk of leaving? Can we determine the characteristics of these employees to better understand the reason for attrition? How can we integrate the predictive results with Compensation, Learning, Succession Planning, and Performance management systems so that decisions are made with precision? How can we improve employee engagement, retain the best and brightest, ensure compensation is competitive, and top performers know there is a career path available? It all starts with understanding the patterns that are hidden in the data.


Steven L. Rohall, Andy Schirmer, Deepika Kakrania, and Shubir Kapoor


Java, D3, and PostgreSQL