What does "data-driven decision-making" involve in a public sector setting?

In a public sector setting, "data-driven decision-making" is centered around the use of data analytics to inform and guide policy and operational decisions. This approach enables agencies to base their actions on empirical evidence rather than intuition or anecdotal observations, which can lead to more effective and efficient outcomes.

By leveraging data analytics, public sector organizations can identify trends, measure performance, and assess the impact of policies and programs. This systematic approach ensures that decisions are not only justified with solid evidence but also responsive to the needs of the community based on accurate and comprehensive data. The emphasis on data allows for greater accountability and transparency in governance, ultimately leading to better service delivery and resource allocation.

Other options reflect approaches that do not align with the principles of data-driven decision-making, such as making decisions without data analysis, relying solely on past experiences, or limiting data collection sources. These alternatives compromise the effectiveness of decision-making in a public sector context, where evidence and information are crucial for informed governance and public accountability.