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Case study · Excel · Power BI · Python

Commission & Contract Data Quality Dashboard

Cleaning, validating, and reporting commission data so finance can trust the number before they act on it.

Problem

Commission and contract files in this workflow arrived with the usual operations mess: missing rates, duplicate contracts, mixed date formats, and totals that did not match. None of that is a visualization problem until the data is honest.

Approach

  1. Import and inspect both datasets
  2. Clean missing values, standardize formats, remove duplicates
  3. Recalculate commissions and cross-check contract totals
  4. Calculate regional KPIs and monthly trends
  5. Flag records more than 15% from average commission
  6. Build the Power BI reporting layer

Stack

Data

commission_data.csv: agent_id, contract_id, date, amount, commission_pct, region, commission

contract_data.csv: contract_id, start_date, end_date, client_name, total_value

Reporting

View files on GitHub