: Breaking down high-level KPIs to understand their constituent parts, such as using P×Q (Price x Quantity) type decompositions for revenue.
: Rather than just tracking data, practitioners must design metrics that are measurable, relevant, and timely. This includes performing growth decompositions to identify the root causes of changes in key performance indicators (KPIs). Data Science The Hard Parts.rar
Access supporting code and examples on the author's GitHub repository . Data Science: The Hard Parts [Book] - O'Reilly : Breaking down high-level KPIs to understand their
: Returning to fundamental statistical foundations to ensure relationships in data are actually significant and not due to random chance. Where to Find the Book Data Science The Hard Parts.rar
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