University of Michigan Gateway Ford School

Data-driven decision-making in Michigan local government

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June 2012

Abstract

The local government fiscal crisis—driven largely by state revenue sharing cuts, falling tax revenues, and rising costs to provide services—has pushed jurisdictions in Michigan to search for operational efficiencies and cost savings. Performance measurement and data-driven decision-making are strategies some local governments use to help navigate the difficult decisions they face today. This report presents Michigan local government leaders’ assessments of the use of data in their governments’ decision-making. The findings are based on statewide surveys of local government leaders in the Fall 2011 wave of the Michigan Public Policy Survey (MPPS).

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Open publication - Free publishing - More data use

Keywords: Intergovernmental Relations

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University of Michigan Gateway Ford School Gerald R. Ford School of Public Policy