Measure, Inform, Build: Enabling Data-Driven Government Policymaking

Abstract

Karpati and Ellis delineate key practices-Measure, Inform, Build-that create the conditions for a virtuous cycle of exemplary data use, in which decision-makers leverage data for policymaking and planning, and in turn invest in data systems to improve the quality and availability of data. They explain that routine measurement of critical indicators provides decision-makers with a solid basis for prioritizing issues, rather than anecdote and political expediency. The authors emphasize that good communication of data allows decision-makers to promote their priorities and defend their choices objectively. They argue that strong structures, policies, and procedures are critical to institutionalization and sustainability of data use, and that demand for data by leaders-for planning, performance review, communication, and, critically, priority setting-is a powerful driver of institutional change.