The document discusses the concept of becoming data-driven, emphasizing two main uses of data: performance measurement and hypothesis validation. It introduces a structured process called A.D.A.P.T., which involves aligning on goals, discovering and assessing hypotheses, prioritizing them, testing, acting, and learning from results. Effective communication and established KPIs are highlighted as essential for driving actionable insights in a data-driven culture.
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