A mid-sized US oil-and-seed wholesaler.
Data Ecosystem Overhaul: Real-Time SAP Data Transformation
The Challenge
The business relied on manual SAP data extraction, causing delays and bottlenecks, with no real-time tracking of sales-order changes and frequent reporting errors. Inaccurate, inconsistent data undermined decisions, and with little support from the SAP vendor, the pressure was on for precise, real-time insight.
What We Did
We implemented low-code automation and a robust Change Data Capture (CDC) system, with custom Power BI dashboards for dynamic, actionable reporting. We automated 120 labour hours a month, migrated manual processes to scalable automated workflows, and centralised data management across SQL Server and SAP - improving visibility and traceability for stakeholders.
The Impact
How We Delivered
A 4-member team over 2 months - an architect, a data engineer, a BI developer and an RPA developer - building a scalable architecture with low-code automation, CDC and Power BI in an agile way.
Inside The Build
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