Data Discrepancies Explained

Linda and Kyle delve into the complexities behind why data points often yield differing conclusions. They highlight the significance of defining terms like "active users" and the impact of filtering criteria on data interpretation. Additionally, they discuss the challenges posed by quiet ingestion failures and the oversight that can occur when no one takes responsibility for monitoring data flows.