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Continuous Quality Improvement Part 3: Turning Data into Action for PAF Programs What's Covered This is the last of three briefs on continuous quality improvement (CQI). It teaches how to use data
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Data-driven decision making is the process of making business decisions based on data analysis and interpretation rather than intuition or personal experience.
Data-driven decision making is typically required by organizations or businesses looking to make informed decisions based on accurate data.
To fill out data-driven decision making, organizations need to collect relevant data, analyze it, and then use the insights gained to inform their decision-making process.
The purpose of data-driven decision making is to improve the quality and accuracy of decisions made by organizations, leading to better outcomes and performance.
The information reported on data-driven decision making typically includes data sources, analysis methods, key findings, and recommendations based on the analysis.
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