What is duplicate removal and why is it important?

< 1 min read

Duplicate removal means identifying and deleting repeated records in the dataset.
Duplicates often come from API retries or overlapping incremental loads.
In my project, same invoice appeared twice causing revenue inflation.
We used primary key combination to detect unique transactions.
Power Query removed duplicates before loading to the model.
This ensured correct aggregation in dashboards and KPIs.
It also helped reconciliation match source system totals.
Storage size and refresh time reduced after cleanup.
Business users trusted reports once counts matched finance data.
So duplicate removal is critical for data accuracy and credibility.

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