Solution
Migrate Domo reporting and metrics to Power BI with a deliberate assess-to-adopt journey, not a simple export.
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Domo often mixes the metric, the preparation, and the card in one place. Beast Modes, DataFlows, and Magic ETL can be the only copy of a revenue rule. Exporting cards to Power BI leaves that rule behind and keeps the argument.
A move to Power BI separates the shared definition from the visual, then checks the total. It is not a download of dashboards.
A Beast Mode on a popular card may be the company's real definition of bookings, even when a different formula sits in a dataset. We pull those calculations off the cards finance and sales actually open and decide which one is the measure.
DataFlows and Magic ETL can filter a total before anyone sees it. If that filter is invisible, Power BI will look wrong on day one. We write down the filters that change finance and pipeline figures before we rebuild them.
Domo PDP rules decide who sees which rows. Power BI needs those rules in the model. A card that looked safe can become a wide-open report if we skip the mapping.
A polished page can assemble numbers from several datasets that do not share a grain. We pick the dataset the meeting trusts and retire the side joins that only existed to make a card render.
Hypothetical example. A pipeline card subtracts 'stalled' deals in a Beast Mode, while the dataset used by finance does not. In this hypothetical, both totals are on the Monday slide with the same label. The migration writes one inclusion rule, shows both old totals beside it for one week, and only then rebuilds the card as a Power BI report.
You leave with the priority metrics redesigned as Power BI measures, the preparation steps that change those metrics written down, and a parity check against Domo and the source.
What revenue and finance open, which dataset feeds them, and which Beast Modes change the total. Unused cards stay out of the first wave.
Each kept calculation becomes a named measure with inclusions and exclusions. Conflicting Beast Modes are resolved with the owner, not averaged.
Row rules from personalized permissions translated into the semantic model and checked with two roles before publish.
Which cards remain as reference until the period is reconciled, and who tells the team to stop using them.
Assess, Redesign, Implement, Reconcile, and Adopt.
Inventory, usage, risk, and success criteria.
Target model, semantics, and governance.
Rebuild or migrate workloads deliberately.
Parity checks and cutover confidence.
Training, handover, and optional ongoing support.
A Free Assessment opens the Domo cards behind the revenue meeting and the close, and traces the calculation that would change the total if it were dropped. We say whether the first work is a definition decision or a rebuild.
Bring the card the meeting screenshares. We follow up within 2 business days.
The export does not carry Beast Modes, dataflow filters, or permissions in a form Power BI will honor. Those are the migration. The visual is the last step.
Then part of the work is replacing the preparation path for the figures in scope, not only the cards. We name that separately so a report project does not hide a data move.
We rebuild the decisions those apps support. A page-for-page copy usually preserves a layout and loses the grain. Power BI apps distribute the reports that remain.
They are listed and left. Rebuilding them adds a second unused catalog. Someone can ask for one later if a meeting still depends on it.
Describe the outcome you want. The next step is a Free Assessment.
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