Introducing the Alumio Route Builder
Now connect, orchestrate, and govern integrations at scale from one visual interface
Operational and financial data from Infor is delivered to Microsoft Power BI as a consistent model, so reporting stops depending on which extract somebody happened to build last quarter.
Infor is deployed differently in every industry it serves, which is why reporting on it fragments. One team builds an extract for production, another for finance, each with its own filters and its own idea of what counts as an active order, and the resulting Power BI dashboards disagree in a meeting. Nobody can say which is right because the logic lives in whoever built it. An Infor to Microsoft Power BI integration through Alumio centralises that: extracts are defined once, refreshed on schedule, and delivered in a shape Power BI models consistently. Reports argue about decisions rather than numbers.
DATA THAT FLOWS BETWEEN THEM
Orders
Inventory positions
Production data
Financial transactions
Customer records
Refresh manifests
Extract logic is defined once in Alumio rather than inside each report, so two Power BI dashboards reading Infor data cannot quietly disagree about the same measure.
Deliveries run on a schedule with a manifest per batch, so a dashboard's currency is a known, recorded fact rather than something an analyst has to remember to verify.
Power BI reads prepared datasets instead of querying Infor directly, so heavy analytical use does not compete with operational transactions for the same resources.
Fields specific to your Infor deployment are mapped explicitly in the flow, so each new report starts from a modelled dataset rather than rediscovering the schema.
Alumio prepares a single modelled extract of Infor orders, inventory and financial data for Power BI, so finance and operations build their reports on the same definitions instead of maintaining two extracts that drift apart.
Each delivery to Power BI is logged with a manifest recording what was sent and when, so a figure questioned in a review can be traced to a specific refresh rather than defended from memory by whoever built the report.
Analytical queries hit the prepared dataset rather than Infor itself, so a month-end reporting rush does not slow down any of the transactions that the production and finance teams are running at the same time.
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 a warehouse or quality system is often next, because Infor holds the transactional record while operational detail that explains a variance sits closer to the floor. Alumio delivers both into the same Power BI model, so a report can show not just that throughput fell but which line and which shift it fell on.
Yes. Alumio queries Infor and assembles scheduled deliveries in the structure your Power BI model expects, so analysts are not refreshing files by hand each morning. OData appears on Alumio's published connectivity list and Power BI consumes it directly, which makes this a supported delivery path rather than an export dropped into a folder and hopefully picked up.
Extract definition, shaping and scheduling are configured in Alumio, which replaces the per-report extracts this pairing tends to accumulate. Infor is deployed differently by industry and its data structures reflect that, so where a measure has to be derived or an industry-specific field decoded before it can be reported on, the Code Transformer holds that logic centrally.
Because they are answering slightly different questions without saying so. Each extract applies its own filters, date logic and definition of an active record, and those choices are buried in whoever built it. Defining the extract once in Alumio makes the logic explicit and shared, so a disagreement becomes a visible decision about definitions rather than an unresolvable dispute in a meeting.
A dashboard goes stale rather than half-populated, and the gap is visible. Each delivery to Power BI is monitored live and logged with its manifest, and a refusal notifies the data team with the dataset and the reason attached. Retries repeat a failed refresh unattended, and an incomplete delivery is held back so no report publishes on a partial extract without anyone knowing.
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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