A fragmented, multi-system reporting environment consolidated into a single source of truth. Monthly close moved from 3 days to same day.
A major US supply chain company operated with six separate data systems — SAP for finance, a custom WMS for warehouse operations, a TMS for transport, Salesforce for customer data, spreadsheets for KPI tracking, and an outdated BI tool for reporting. Each system had its own data model. Numbers conflicted. Finance teams spent three days every month-end manually reconciling everything before they could close the books.
We rebuilt the BI infrastructure from the ground up — starting with a clean data architecture. SAP financial data, WMS operational data, and TMS transport data were pulled into a centralised Azure Synapse data warehouse via automated ETL pipelines. One canonical set of numbers. Role-based Power BI dashboards for finance, operations, and executive leadership. Live data — no weekly exports.
Every piece designed to solve a specific part of the problem — integrated into one system that works end-to-end.
With automated ETL handling data quality and reconciliation, the finance team stopped spending three days on month-end data assembly and started spending that time on analysis and strategic work.
Previously, executive decisions were made from last week's exports. With live dashboards, the leadership team made decisions on data that was at most one hour old — fundamentally changing how quickly the business could respond to issues.
"Which number is right?" was a weekly occurrence before the BI rebuild. After: one source of truth, one number, no disputes. Departmental alignment improved measurably.
From the initial audit to live deployment — every stage designed to minimise risk and maximise speed to value.