If you’ve worked on a data team, you’ve likely encountered situations where multiple teams define metrics in slightly different ways, leaving you to untangle why discrepancies exist. The root cause of these metric deviations often stems from rapid data utilization without prioritizing long-term maintainability. Imagine this common scenario: a company hires its first data professional, who writes an ad-hoc SQL query to compute a metric. Over time, multiple teams build their own datasets us...
