Solution
Move reporting workloads to Power BI with a deliberate journey: assess, redesign, implement, reconcile, and adopt.
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A Power BI migration fails when it copies every chart and imports every argument. Finance still cannot tie the pack, and revenue still has two bookings numbers. The move is worth it when the reports people actually open are redesigned around shared definitions, then checked against the source before anyone is asked to switch.
The journey is assess, redesign, implement, reconcile, and adopt. Priority follows the close calendar and the weekly revenue meeting, not an inventory sorted by technical difficulty.
Old platforms fill up with reports nobody has opened in a year. Rebuilding them all delays the pack leadership still uses. We start from what finance and revenue open, who owns the number, and what must be true on the Monday after cutover.
A visual can look familiar and still calculate a different total. Shared measures, filters, and who can see which rows are decided before build. Otherwise the new report is a second version of the dispute.
Switching the pack in the last week of the month trains everyone to keep the old file. We reconcile a closed period first, explain differences in writing, and time the switch so finance is not learning a tool during the close.
If analysts cannot get a measure added, they download the data and rebuild it. Adoption includes who may change a definition, how a consumer asks for a new cut, and what to do when a total looks wrong.
Hypothetical example. A company plans to rebuild 400 reports because that is the count in the old catalog. In this hypothetical, the close pack and the weekly revenue review account for the decisions that slip. The assessment keeps those two, lists the reports that only duplicate them, and leaves the rest parked until someone asks.
You leave with a sequenced migration for the reports that matter, a model finance and revenue can share, and a reconciliation note for the period you choose. Training and optional ongoing support come after cutover, not instead of the check.
Which reports are opened, by whom, and which numbers are disputed. Abandoned work is recorded so it is not silently rebuilt.
Measures, relationships, and row-level rules written in business language first. The Power BI model implements that decision. It does not invent it.
Totals compared to the source system and to the report you are leaving. Differences are explained before cutover, including differences you intend to keep because the old number was wrong.
How to use the published app, how to request a change, and who owns the definition. Optional Managed Data Services can watch the refresh after that.
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 identifies the source platform, the reports finance and revenue still trust or argue about, and the first wave worth moving. We say what should be redesigned, what can be retired, and what must match on day one.
Bring a list of the meetings that depend on the old tool, not a full extract of every object. We follow up within 2 business days.
Only the ones that still earn a place. A complete copy of the old catalog usually copies unused reports and conflicting definitions. Retirement is part of the plan.
By comparing it to the system of record and to the old report for an agreed period. A visual match is not enough. Unexplained differences block cutover for that report.
Yes, if new work lands in the target model instead of another copy of the old one. We agree that rule up front so the migration does not chase a moving catalog.
Tableau, Domo, MicroStrategy, Qlik, ThoughtSpot, and Cognos each have their own page because the semantic traps differ. This page is the shared journey those moves follow.
Describe the outcome you want. The next step is a Free Assessment.
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