Part 4/12:
A notable example discussed is the Market Basket Analysis, which used lift and confidence metrics to identify co-occurring items—famously exemplified by the misconception about diapers and beer. Walmart's focus was on harnessing large datasets, sometimes pushing the limits of data storage systems, to derive actionable insights. These initiatives underscored the importance of aligning data science with business context—deciding whether to position items together or apart based on in-store behavior.