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Understanding Data-Driven Processes Through Statistical Control
The chapter explores how statistical process control can enhance businesses by identifying root causes and improving processes through data analysis. It emphasizes the importance of differentiating routine from exceptional variations and avoiding overfitting in data interpretation. Examples from Amazon illustrate the significance of continuous improvement and experimental verification for making informed data-driven decisions.