/ 1 Data integration
HRForecast analyzed over 5.000 trainings conducted by Deutsche Bahn employees. Text mining technologies were applied to extract and systematically register the unstructured information on the training.
/ 2 Assessmenet of the status quo
HRForecast analysed every skill and learning content that was part of the conducted trainings in terms of future-orientation and coverage of future mega trends. The results uncovered white spots and improvement potentials in the training landscape.
/ 3 Derive future skill requirements
HRForecast used macro-economic data to translate the major trends impacting Deutsche Bahn into concrete skillset requirements. These inputs were used to formulate a selection future-oriented job profiles.
/ 4 Provide results and propose measures
By connecting the future skill requirements derived from the future job profiles with the training data of the employees, HRForecast and Deutsche Bahn were able to identify the skill gap. Measures were set up to improve the future fit of the training landscape to support the systematic transformation of the workforce.