I will troubleshoot and audit your power bi revenue data using sql

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Revenue Reconciliation Pass Fail Power BI SQL DAX Optimization

I fix revenue mismatches and financial discrepancies between your source systems and Power BI. If your dashboard says one number but your billing system / finance ledger says another, you don’t need ...
Informazioni su questo servizio

If your Power BI revenue does not match your billing system or finance ledger, you do not need a prettier dashboard you need reconciliation.

I fix revenue mismatches end to end across SQL data sources, the Power BI data model, and DAX measures. You get root cause evidence, corrected logic within scope, and validation checks so the issue does not return.

What I can help with

  • Revenue numbers not matching between SQL and Power BI
  • DAX measure logic errors and filter context issues
  • Data model issues causing duplicates or incorrect joins
  • Returns cancellations time zone FX and edge case handling
  • Slow pages and measures performance tuning

Deliverables package dependent

  • Root cause summary with evidence
  • Updated SQL and or DAX logic within scope
  • KPI definition notes and reconciliation rules
  • PASS FAIL reconciliation result and validation checks

To start please share

1 Which KPI is mismatching and how you define revenue

2 Your source of truth billing ledger or database

3 Date range and a screenshot of the difference

4 Any known edge cases returns cancellations discounts FX

You do not need to share sensitive files upfron

Tecnologia:

Fogli Google

Quaderno jupyter

Power BI

MySQL

Tipo di analisi:

Analisi quantitativa

Analisi qualitativa

Expertise:

Avvisi

Informazioni aziendali

Trend

Churn e retention

Linguaggio di programmazione:

Python

SQL

DAX