Which retail data analytics technique was first widely adopted by federal agencies to reduce procurement fraud and has since saved an estimated $3.7 billion in government spending?

In the intersection of retail data analytics and government operations, departments increasingly use retail-inspired techniques to optimize spending and improve citizen services. This poll explores how government agencies are adopting retail data analytics strategies to enhance their operations, predict trends, and make more informed policy decisions. Test your knowledge about this growing trend that's transforming public sector efficiency and transparency.

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Predictive churn analysis for contractor evaluation
Basket analysis for bundled service optimization
Anomaly detection in spending patterns
Sentiment analysis of citizen service feedback