Improving Social and Economic Outcomes: The Value of Data Quality at the Federal Level

Paper / Report
Data Science for Social Impact
Paul Chernousov
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This article examines how high data quality drives better social and economic outcomes, providing case studies from government agencies and recommending improvements to data quality practices. It highlights the importance of maintaining high-quality data in driving effective social programs and policies. The article discusses how improved data quality leads to better targeting of resources, more effective interventions, and measurable improvements in social and economic conditions. It also outlines strategies for enhancing data quality, ensuring that governments and organizations can rely on accurate data to make informed decisions that drive positive societal impact.

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