
#57 The Credibility Crisis in Data Science
DataFramed
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Navigating the Credibility Crisis in Data Science
This chapter emphasizes the critical role of early involvement of data scientists in experimental design to avoid common pitfalls like measurement errors and design flaws. It highlights the importance of accurate tracking and data-driven decision-making, illustrated through case studies such as Marriott's innovative marketing strategies. Additionally, the chapter addresses the current credibility crisis in data science, calling for improved communication and robust research design to align data insights with business needs.
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