- Handling outliers means identifying and managing data points that deviate significantly from normal values.
- In my project, a few orders had negative sales due to system errors.
- We flagged them for review or replaced them with corrected values.
- Extreme values in revenue or quantity were sometimes capped or removed.
- Outliers can distort averages, totals, and trends in dashboards.
- Power Query or DAX logic was used to detect based on thresholds or standard deviation.
- Business rules decided whether to keep, adjust, or exclude outliers.
- Handling them ensures accurate KPIs and reliable reporting.
- It also prevents misleading insights for decision makers.
- So managing outliers maintains data integrity and analysis quality.
What is handling outliers conceptually?
Updated on February 9, 2026
< 1 min read
