When your data sources provide conflicting metrics, it can undermine your confidence in making decisions. To resolve these discrepancies effectively:

• Identify the root cause: Check data collection methods to ensure consistency and accuracy across all sources.

• Standardize data definitions: Make sure every team uses the same definitions for key metrics to avoid misunderstandings.

• Implement data validation processes: Regularly audit your data to catch and correct errors early.

How do you handle conflicting data metrics in your organization? Share your strategies.