Data & BI 📖 1 min read

How We Transitioned a Distribution SME from 14 Weekly Spreadsheets to Live Power BI

A practical case study on mapping manual reconciliation processes, building automated SQL extractors, and delivering reliable automated dashboards.

Spreadsheet proliferation is the silent productivity killer of growing businesses. When a business relies on multiple department heads emailing disconnected Excel workbooks every Friday afternoon, errors compound and decision velocity grinds to a halt.

The Legacy Bottleneck

In our recent engagement with a mid-sized consumer goods distributor, the operations team spent over 18 cumulative hours every week manually copying transactional data from their ERP, reconciling inventory counts from warehouse CSVs, and recalculating gross margins.

The Modern Architecture

We engineered a lightweight automated ingestion pipeline using scheduled Python extracts, staged the cleansed data in a relational MariaDB database, and connected a structured semantic data model in Power BI.

"We reclaimed 18 hours every week and eliminated month-end reconciliation surprises completely."

Key Takeaways for Operations Leaders

  • Automate data ingestion at the source rather than attempting to clean output files.
  • Establish clear column-level validation rules early in the ETL pipeline.
  • Design dashboards around specific operational decisions, not just vanity metrics.

Need Help Implementing This in Your Business?

Discuss your workflow requirements with our lead data engineering team.

âš¡ Get a Fixed-Price Quote
More Insights

Related Articles & Case Studies