What risks exist if extraction logic is incorrect?

Parthiban Kannan

Updated on February 9, 2026

< 1 min read

Incorrect extraction logic leads to wrong data entering the reports.
KPIs like revenue or order count may be over or under reported.
In my project, missing date filter doubled monthly sales numbers.
Business teams made wrong operational decisions based on that dashboard.
Duplicate or missing records break reconciliation with source system.
Scheduled refresh may still succeed but data becomes unreliable.
Financial reporting errors can create compliance and audit issues.
User trust in BI reports drops quickly once inconsistencies appear.
Fixing requires reprocessing historical data and revalidation effort.
So incorrect extraction directly impacts decision accuracy and credibility.