An operations control tower from scattered data.
We unified data from six disconnected systems into a single real-time control tower, retiring the weekly spreadsheet scramble for live dashboards the leadership team actually trusts.
Published June 14, 2026 · Updated June 19, 2026
The context
A multi-site operator was running its weekly leadership review off a stack of exported spreadsheets — one per system, each stitched together by hand the night before the meeting. By the time the numbers reached the room they were already a week stale, and no two reports agreed on the same figure because every team pulled from a different source.
The challenge
Six core systems — ERP, CRM, warehouse, finance, support, and the web storefront — each held a piece of the truth and none of them talked to one another. Roughly twelve hours a week disappeared into manual reporting, and because the numbers never reconciled, leadership couldn't trust a single KPI enough to act on it quickly. Decisions waited on the next export.
Representative outcome modeled on industry benchmarks; individual results vary.
How we delivered it.
- 1
Mapped every metric the leadership team actually decides on back to its system of record, so the control tower measured what mattered instead of what was easy to export.
- 2
Built a governed pipeline that pulls from all six systems on a schedule, reconciles overlapping fields, and resolves conflicts to one definition per KPI.
- 3
Modeled a single semantic layer — one agreed definition of revenue, margin, on-time, and utilization — so every dashboard reads from the same numbers.
- 4
Shipped role-based live dashboards and exception alerts, then ran the leadership review off the tower itself until the spreadsheets were retired for good.
What we built
- A scheduled, governed data pipeline unifying six source systems into one warehouse
- A single semantic layer with one definition per KPI, ending the reconciliation arguments
- Real-time role-based dashboards for leadership, operations, and finance
- Threshold alerts that surface exceptions before they reach the weekly review
The outcomes
Representative outcome modeled on industry benchmarks; individual results vary.
“We stopped arguing about whose number was right and started making decisions in the meeting instead of waiting a week for the next export.”
The service and the related work.
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