/ 1 Validation of available data
In the first step the relevant data snapshots were merged together. The factors to be analysed were identified and classified in three clusters: ‘Promotion’, ‘Hiring’ and ‘Leavers’. Data quality management was conducted to assure data integrity.
/ 2 Identify bottlenecks and levers to improve
The Internal Development Model (IDM) – a model to predict factors regarding the talent pipeline – was set up. Various parameters for hires, promotions as well as information about leavers were fed to the model.
/ 3 Define future scenarios & predict future share
The Internal Development Model (IDM) predicts the female share in all levels until 2025. Three scenarios with a focus on the leadership level were investigated.