Abstract

Dublin-based Experian plc was facing a high attrition rate since 2016. With every 1 percent turnover increase, the company was losing nearly $3 million. Due to manual workforce management methods, the company was unable to identify the root cause of the attrition. Thus, HR specialists at Experian decided to get a better view of the workforce by applying data and technology to its HR strategy. Being a data driven company, Experian’s HR specialist used in-house predictive modeling technology to strategically analyze employee data and came up with an innovative solution called predictive workforce analytics. This case discusses about how the implementation of predictive workforce analytics yielded favorable results for Experian. As of 2019, the company’s global attrition rate decreased by 4 percent, saving the company CAD$14 million in a period of two years. Experian then started providing its solution to other businesses houses.

Learning Objectives

The case is structured to achieve the following Learning Objectives:

• Evaluate the growing importance of HR analytics in organizations.
• Understand issues and challenges in HR planning and retaining talent.
• Understand the concept of predictive workforce analytics and how it can help a company to fix employee turnover issue.
• Analyze the future of HR with predictive analytics.

Keywords

Predictive Workforce Analytics; Employee Retention; Human Resource planning; Human Resource Information system; HRIS; HR Analytics; Attrition; ‘Returnships’ policy; HR strategy; Experian