Big Data Skills Analysis
What is a Big Data Skills Analysis?
A Big Data Skills Analysis examines which skills are currently in demand on the labor market and which are set to be demanded in the future. The analysis also shows which professions have common transferable skills so that strategic transition paths for professions with shortages can be developed. The results provide insights for personnel development, recruiting, and employee retention. They facilitate the promotion of targeted skills and create new employment opportunities through retraining and new recruiting potential.
What is the methodology behind a Big Data Skills Analysis?
A Big Data Skills Analysis consists of three key steps. In the first step, WifOR defines profession-specific skill requirement profiles. In order to determine the key skills for given professions, WifOR draws on its own databases from several million job advertisements, which are continuously updated through web scrapings. WifOR then links the results to a macroeconomic labor market model and identifies the most important future skills per sector alongside the required training needs. In the third step, WifOR draws similarities between profession-specific skill requirement profiles and defines strategic transition paths to qualify employees for professions facing shortages.
How does a Big Data Skills Analysis support companies and industries?
A Big Data Skills Analysis contributes to the success and sustainable growth of companies. In human resource development, the results enable the targeted selection of training and further education aimed at narrowing skill gaps and offering employees enhanced career prospects. In the recruiting process, the analysis helps identify people with suitable skills. By promoting the professional development of employees, companies can also increase loyalty and motivation, in the process reducing fluctuation rates.
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