A KPI shows sudden spike. How do you validate whether it is real or a data issue?

< 1 min read

When a KPI shows a sudden spike, I first verify the data source and refresh status to ensure the dashboard pulled the latest data correctly.
I compare the current numbers with historical trends to see if the spike is unusual compared to previous periods.
Next, I check the data pipeline or ETL process to confirm there were no failures, duplicates, or missing transformations.
I also review the filters, calculation logic, and joins used in the dashboard to ensure nothing recently changed.
Then I drill down into the data by dimensions like date, region, or product to identify where the spike is coming from.
In one sales dashboard, we saw a sudden spike in revenue for a day.
After investigation, we found duplicate records caused by a data load issue.
Once the pipeline was corrected and data refreshed, the KPI returned to the normal range.
This step-by-step validation helps confirm whether the spike is a real business event or a data problem.

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