What risks exist if transformation logic is incorrect?

Parthiban Kannan

Updated on February 11, 2026

< 1 min read

Incorrect transformation logic leads to wrong KPIs and bad business decisions.
Revenue may be overstated if cancelled or duplicate orders aren’t handled.
Users lose trust when dashboard numbers don’t match source reports.
Finance reconciliation failures can delay monthly closing.
Example: Wrong date filter showed inflated active customers in my project.
Performance issues can occur if logic causes data duplication.
Stakeholders may export data and create parallel reports outside BI team.
Fixing later is costly because reports and decisions already depend on it.
Main risk is loss of credibility and operational mistakes.