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Labor and material postings collected on the Global Shop Solutions shop floor reach Microsoft Power BI as job cost figures, so estimating gets checked against what jobs actually consumed.
Global Shop Solutions collects labor at the operation as employees clock on and off, which makes it unusually good at telling you what a job cost and unusually hard to read across hundreds of jobs at once. The reports live inside the ERP, one job at a time, so quoting keeps using standards nobody has revisited in years. The Global Shop Solutions to Microsoft Power BI integration lifts those postings into a model. Alumio connects through the available API, as it would any reachable system, so estimated against actual becomes a pattern across part families instead of an argument about one late job.
DATA THAT FLOWS BETWEEN THEM
Work order costs
Labor hours
Material issues
Scrap and rework
Quote estimates
Shipment dates
Estimating is corrected from real Global Shop Solutions postings, because Microsoft Power BI compares quoted against actual hours across a whole part family rather than one job.
Scrap and setup time recorded against Global Shop Solutions operations become their own cost lines in Microsoft Power BI, so a part that always runs over is identified, not hidden.
Labor postings from every work center reach Microsoft Power BI together, so overtime and bottlenecks are read across the plant, not inferred from separate ERP reports.
Because job costs arrive from Global Shop Solutions on a defined boundary, a Microsoft Power BI figure quoted in a meeting agrees with the one finance will report at period end.
Closed work orders leave Global Shop Solutions with their quote estimates attached. Microsoft Power BI groups them by part and customer, so a routing whose standard has drifted shows as a trend rather than a complaint.
Labor hours posted by work center in Global Shop Solutions reach Microsoft Power BI broken down by shift, which lets a plant manager see which centers and which part families actually drove an overtime spike last month.
Scrap and rework recorded against Global Shop Solutions operations arrive as their own measures, so Microsoft Power BI shows which parts consume the most recovery effort long before the yearly review notices it.
Alumio sits between sales channels and fulfillment systems as a governed integration backbone. Orders are routed, transformed, and validated, while status updates return to every channel.
Authenticate your systems using Alumio's pre-built connectors. Choose from 200+ connector packages in the marketplace, plus unlimited custom integrations.
Define how data fields map between systems in a visual interface. Adjust formats, enrich records, and apply business logic, no custom code required.
Configure flows to run in real time on events, on a schedule, or both. Reduce manual data entry and let Alumio handle movement and transformation between systems.
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Once your first integration is live, adding your ERP, PIM, WMS, or CRM connects to the same hub. Existing flows keep running. No rebuilding from scratch.
A maintenance system is the common addition, because a work center that keeps losing hours is often a machine problem rather than a labor problem. Alumio holds both connections, so downtime records arrive shaped like the Global Shop Solutions job costs and Microsoft Power BI can put lost hours next to the jobs that were waiting on that machine.
Yes, and a job reaching completion is the trigger rather than a clock. Costs keep landing against a work order after the last operation finishes, so Alumio publishes on the boundary you define, which keeps a job from being reported before its material and outside processing have posted. Interim figures can still flow separately for live plant views.
No, this is configured rather than coded. Cost centers, work order fields and the estimate columns quoting relies on are mapped once in Alumio, retiring the exported cost report somebody rebuilds in a spreadsheet each month. Where a shop's own cost model is unusual enough that mapping cannot describe it, the Code Transformer carries that calculation.
Labor is close to complete in real time, and material is usually not. Employees clock against operations as they work, so hours are current, while purchased material and outside processing post when receipts and invoices arrive. Alumio reads what the Global Shop Solutions API exposes, as it would any reachable system, and can publish both a live labor view and a settled cost view, so Microsoft Power BI reports the one the question needs.
Cost that lands nowhere is the quiet failure, because a posting rejected against an already closed job simply disappears from the total rather than showing as an error. Alumio watches each transfer live and keeps a record of what it carried, so a refused posting alerts immediately with the work order and the reason it would not accept. Retries run automatically where configured, so no labor or material cost goes missing from a Microsoft Power BI figure.
Talk to an Alumio integration specialist. We'll map the right architecture for your systems, at the right scale, so your operations stay reliable through every change.
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