Author: Robert M. Goerge
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Policy Building and Sustaining Data Analytics Capacity: The TANF Data Collaborative Pilot Initiative Final Report
In 2017, the Administration for Children and Families (ACF) under the U.S. Department of Health and Human Services began the TANF Data Innovation (TDI) project. Its goal was to expand TANF agencies use of TANF administrative and employment data to improve program services and outcomes for families with low incomes. This report focuses on the TANF Data Collaborative (TDC) component of the TDI. TDC provided technical assistance (TA) and learning opportunities to two groups: all TANF agencies serving families on or eligible for TANF, and a select few agencies chosen for the TDC Pilot Initiative.
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Policy Strengthening Analytics in Government Agencies: A Toolkit for Sustainable Data Use
This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately – referred to in this publication as “sustainable data use.” It covers a variety of subjects – from staffing and technology to collaboration and funding – that can impact the longevity of analytics work in the public sector.
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Policy Exemplary Data Use by State TANF Agencies: Beyond Routine Reports and Analyses
Temporary Assistance for Needy Families (TANF) leaders, policymakers, and researchers all recognize the need for TANF agencies to use the data they collect to better understand how well their programs are working and how to improve them, given the impact on the families they serve. It is often difficult, however, for agencies already stretched to capacity to prioritize and execute data use and analytics. State TANF leaders are seeking roadmaps for how to transform their organizations and become data-driven.
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Policy Unpacking Data Use in State TANF Agencies: Insights from the TANF Data Innovation Needs Assessment
Policymakers, program administrators, federal leaders, researchers, and advocates are increasingly focused on using administrative data to build evidence for improving government programs. Achieving this goal requires accessible data sources and the capacity to use them, yet stakeholders have little information about the baseline level of state capacity in these areas. How does one measure concepts such as “effective data use” and “analytic capacity?” This brief reports findings from a pioneering and comprehensive needs assessment that examined the capacity of Temporary Assistance for Needy Families (TANF) programs in 54 U.S. states and territories to analyze data used for program improvement, monitoring, and evidence-building. The needs assessment provides a foundation for technical assistance and continued improvement for the TANF program and may also provide valuable insights and frameworks for other state-administered human services programs.