/ 1 Data Infrastructure Setup
Together with EY, we scrutinized the attrition behavior within the company on all hierarchy levels. In this way we were able to detect the driving forces and reasons leading to unwanted employee turnover.
/ 2 Statistical Methods
Criteria, such as individual workload, gender, level of education, development time per career level and performance evaluations were analyzed with advanced statistical methods, whereby diversity-related facts were also taken into consideration.
/ 3 Labor Market Analysis
“Middle management” profiles were identified as the profiles with especial attrition risk. Suitable profiles on the external labor market that could possibly fill the gap in the “Senior Manager” rank were considered.
/ 4 Results
HRForecast applied various instruments specifically designed for HR analytics, so that the recruiting process of EY continuously satisfied the requirements of today and tomorrow.