Introducing the Alumio Route Builder
Now connect, orchestrate, and govern integrations at scale from one visual interface
Engineering data held in SolidWorks reaches Microsoft Power BI as a modelled dataset, so part reuse, revision activity and design cost can be reported on rather than estimated once a quarter.
Engineering is usually the least measured part of a manufacturing business, because the data sits in CAD files and nobody can report on it. Part counts, revision churn and how much of a new assembly is genuinely new are all knowable, yet they arrive as somebody's manual count in a spreadsheet and get argued with. Meanwhile Power BI reports confidently on everything downstream. A SolidWorks to Microsoft Power BI integration through Alumio makes the engineering side reportable: structured extracts are prepared on a schedule in the shape Power BI models expect.
DATA THAT FLOWS BETWEEN THEM
Part records
Assembly structure
Revision history
Material assignments
Change activity
Reuse metrics
Power BI can report how many new parts each project introduces, so the cost of designing another near-identical component becomes a number rather than a suspicion.
Change activity is delivered as a dataset, so patterns of late revisions show up per project and per team instead of being felt only by the people absorbing the rework.
Engineering measures land in the same Power BI model as production and commercial data, so a report can relate design choices to margin without a manual reconciliation step.
Extracts run on a schedule rather than as somebody's spreadsheet exercise, which removes both the delay and the arguments about whether the numbers are actually current.
Alumio prepares a scheduled extract of part and assembly records for Power BI, so a report can show how much of a new product is reused versus newly drawn, and leadership sees standardisation improving or slipping.
Revision events are delivered to Power BI as a time series, so a dashboard shows where late design changes cluster, which lets a programme manager challenge a pattern during the project rather than in the post-mortem afterwards.
Design data lands in the same Power BI workspace as production and quality figures, so a single report can ask whether the assemblies causing rework on the line are also the ones that were revised most often before release.
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.
More can be connected, and the ERP is the usual next one, because engineering data only becomes commercially interesting when it sits beside cost, volume and margin. Alumio delivers both into the same Power BI model, so a report can compare what was designed with what it cost to make, rather than leaving analysts to join two exports by part number in a spreadsheet.
Yes. Alumio connects to SolidWorks data through its available interface, as it would any reachable system, and prepares scheduled extracts in the structure your Power BI model expects. OData is on Alumio's published connectivity list and Power BI consumes it directly, so the delivery path is a supported one rather than a file dropped somewhere for an analyst to refresh manually.
The extract and its shaping are configured in Alumio, replacing the manual export and pivot routine engineering reporting usually depends on. Reporting on design data is mostly a shaping problem rather than a connectivity one, and where a property has to be derived or a naming convention parsed before it can be charted, the Code Transformer takes that logic on its own.
Because the report was built from a manual extract taken at one moment and then edited. Counts get de-duplicated by hand, obsolete revisions are included or excluded inconsistently, and nobody records which rule was applied. Alumio removes that step by preparing the extract on a schedule with the same logic every time, so a Power BI figure can be traced back to a defined rule rather than to whoever last touched the spreadsheet.
A report shows stale data rather than partial data, and you find out which. Alumio monitors each extract in real time, logs every message and manifest it produced, and alerts you immediately when one is refused, with the dataset and the error reason together. Automatic retries handle transient faults, and an extract that did not complete stays flagged in the queue instead of quietly publishing half a dataset.
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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