The Amsterdam People Analytics Centre (APAC) helps facilitate partnerships between industry and academia in the area of people analytics. People analytics is a data-driven approach to people management, focused on systematically identifying and quantifying people drivers of important business outcomes.
People analytics helps to answer people related business questions using predictive models that relate people indicators (such as engagement, HR, or fit) to a variety of data sources collected and stored in organizations. Using such models, we can advance evidence-based decision making in organizations, aimed at helping people and organisations succeed. The centre's aim is to promote high-quality applied scientific research in the field of people analytics at the interface of theory and practice.
People analytics combines different disciplines, such as Human Resource Management (HRM), Organizational Behavior, Management, statistics, and data science. Our members are grounded both in the fields of (Human Resource) Management and Organizational Behavior, and have specific expertise in research methods. Topics we cover include talent retention, turnover, learning analytics, person-organization fit, strategic HRM, management practices, leadership, and applicant selection. We have experience with a broad range of approaches to people analytics, including combining and analyzing different data sources collected at and/or stored in organizations using a variety of advanced analytic techniques, such as longitudinal analyses, trend analyses, clustering, and text mining.
APAC offers collaboration opportunities on a broad range of topics related to people analytics, in order to investigate issues which are relevant to practitioners and add to the body of knowledge on HRM and Organizational Behavior. Organizations can approach us for collaborative research projects aimed at improving people related decision making in general or answering specific people related questions.