Hybrid Data Competencies for Municipal Civil Servants: An Empirical Analysis of the Required Competencies for Data-Driven Decision-Making

This study focuses on an important yet often neglected topic in public personnel competency studies: competencies required for digital government. It addresses the question: Which do civil servants need data-driven decision-making (DDDM) local governments? Empirical data are obtained through a combination of 12 expert interviews and 22 Behavioral Event Interviews. Our analysis shows that DDDM as observed this is hybrid process contains elements both “traditional” “data-driven” decision-making. We identified eight process: literacy, critical thinking, teamwork, domain expertise, analytical skills, engaging stakeholders, innovativeness, political astuteness. These also hybrid: more (e.g., astuteness) “innovative” literacy) competencies. conclude governments to invest resources developing or selecting these among their employees, exploit possibilities offers responsible way.