This chapter emphasizes the need for intentional data collection in analytics, distinguishing between mere data accumulation and meaningful insights. It critiques the indiscriminate gathering of data, particularly in AI contexts, advocating for focused data practices aligned with privacy principles. The discussion introduces strategies like data minimization and innovative A/B testing methods that optimize data collection while safeguarding user privacy.

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