The biggest data problem I keep running into isn't dirty data. It's teams defining the same metric differently.

Summary

Increasingly, BI teams are facing the challenge of different definitions for the same metric leading to confusing insights.

Different Definitions Within Teams

A data consultant recently discovered that two analysts at a company using Snowflake had created different calculations for "Revenue." One was calculating gross revenue, while the other was focusing on net revenue after returns. This discrepancy led to inconsistent figures on dashboards, even though the data itself was clean and the pipelines were functioning properly.

Importance for BI Professionals

This issue highlights a crucial trend in the business intelligence market: uniform data definitions are essential for consistent analyses and reporting. BI professionals need to ensure not only that the data is clean but also that metric definitions are clearly established within their teams. Competitors who overlook this aspect risk making decisions based on varying interpretations of the same figures.

Concrete Takeaway

BI professionals should prioritize establishing clear definitions and agreements on metrics within their teams. This can be achieved by implementing standardization processes and fostering collaboration among analysts to avoid confusion.