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case study · Wholesale trade

BI dashboards for a trading company

A wholesale company moved from manual Excel reports to Power BI. Data on sales, stock, shipments and finance refreshes every morning by 7:00.

  • 4data sources
  • 7:00fresh numbers every morning
  • 16 hof analyst time freed per week

Challenge

The weekly management report was assembled by hand from 1C and warehouse system exports, taking 16 person-hours a week, and figures in different reports did not match.

What we did

  • Agreed shared KPI definitions with finance: revenue, margin and inventory turnover
  • Built a MS SQL Server warehouse with SSIS loads from 4 sources including 1C: ERP
  • Built sales, stock, shipment and finance dashboards with drill-down to customer and item
  • Set up role-based access and a refresh by 7:00
  • Trained two client analysts to extend the reports themselves

Outcome

Figures in every management report now match. Analysts freed up 16 hours a week and spend them on analysing variances.

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