People Analytics: Data Science in HR

Overview

Data Science in HR can be defined as the data-driven and goal-oriented method of examining employee processes, challenges, engagement, performance, turnover, as well as ways to derive actions in the HR context. Data Science in HR is sometimes referred to as People Analytics or Workforce Analytics.

Essentially, Data Science in HR leads to better decision making through the application of statistical methods and other data interpretation techniques. Therefore, Data Science in HR can also be defined as an approach to using statistical insights from employee data to make evidence-based HR management decisions. With Data Science in HR, smarter, more strategic, and data-driven employee decisions are more tangible, and this applies to the entire employee lifecycle – from making better hiring decisions to managing performance more effectively to improving employee retention.

In the research work of the chair, procedures for the analysis of HR issues by statistical methods are developed as well as corresponding analysis projects are carried out in cooperation with companies. The focus is also on the question of how Data Science in HR can contribute to a more non-discriminatory work in HR management.

Projects & Talks​

Research project ADVICE

In the completed research project ADVICE, which was funded by the Volkswagen Foundation, the findings from the HR context were applied to the student life cycle and investigated which data-driven methods and statistical analysis can be used for student advising.