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A MicroStrategy migration is
a metadata problem first.

The dossiers are the visible part. The real work sits underneath: a project metadata layer of attributes, facts, hierarchies and metrics that has accumulated logic over years. Move the reports without rebuilding that layer and you inherit every quirk — slowly, and with numbers no one can reconcile. We treat the schema as the foundation, rebuild it cleanly on Microsoft Fabric, and only then rebuild the reports on top. It runs as a fixed-scope engagement, so the migration doesn't become the next multi-year programme.

MicroStrategy → Power BI.

The concepts translate — but not one-to-one. Getting the metric and attribute logic right in DAX is where the numbers are won or lost.

MicroStrategyPower BI / Fabric
Attributes & hierarchiesDimension tables and Power BI hierarchies
FactsFact tables in the Lakehouse / Warehouse
Metrics & compound metricsDAX measures (validated, not assumed)
Project metadata layerCertified Power BI semantic model
Dossiers & documentsPower BI reports and paginated reports
Security filtersRow-level security in the model or data layer
Intelligent Cubes / extractsDirect Lake on OneLake — no separate cube layer

Schema first.
Reports second. Numbers proven.

Everything in scope, agreed in writing before work starts.

01

Metadata & Schema Mapping

We document your MicroStrategy project metadata — attributes, facts, hierarchies, metrics — and design the target Power BI semantic model and Fabric data layer.

  • Project metadata inventory
  • Attribute, fact and hierarchy mapping
  • Target semantic model design
02

Data Layer on Fabric

We build the Lakehouse or Warehouse that the semantic model sits on, ingesting from the same sources MicroStrategy uses today.

  • Fabric Lakehouse / Warehouse build
  • Ingestion from existing data sources
  • Clean, governed foundation for the model
03

Metric Translation to DAX

The part that decides whether the numbers match. Simple, compound, level and conditional metrics re-expressed as DAX measures and checked individually.

  • Metric-by-metric DAX translation
  • Compound and level metric handling
  • Shared, certified measure definitions
04

Dossier & Report Rebuild

The dossiers and documents in active use rebuilt as Power BI reports — prioritised by usage, not copied wholesale.

  • Usage-prioritised report backlog
  • Interactive and paginated reports
  • Row-level security reconstructed
05

Parallel-Run Validation

New Power BI reports run alongside MicroStrategy and we reconcile metric by metric until they match within tolerance. Sign-off is against the reconciliation.

  • Metric-by-metric reconciliation
  • Agreed parallel-run period
  • Documented sign-off criteria
06

Cutover, Handover & Training

A controlled switch off MicroStrategy, with documentation and training so your team runs Power BI independently.

  • Cutover plan and decommission support
  • Technical and user documentation
  • Handover workshop and training

Why leave MicroStrategy.

The reasons are consistent across the migrations we run.

Licensing cost

MicroStrategy licensing is a recurring line item that Power BI on an existing Microsoft agreement often undercuts substantially.

A shrinking skills pool

Finding and keeping MicroStrategy developers is getting harder. Power BI and DAX skills are far easier to hire and retain.

Microsoft consolidation

If you already run Microsoft 365 and Azure, Power BI and Fabric fit the stack you operate rather than adding a separate one.

No more cube-and-extract layer

Direct Lake reads data straight from OneLake — losing the Intelligent Cube refresh and extract management MicroStrategy deployments carry.

What we bring to it

A MicroStrategy migration is mostly risk management — the risk being that the numbers quietly stop matching. Our approach is built around removing that risk:

  • Schema rebuilt before reports, so reports sit on a clean foundation
  • Every metric validated against MicroStrategy output, not assumed equivalent
  • Usage-led rationalisation — you migrate what's used, not the whole back catalogue
  • Fixed scope and price, agreed before work starts

Not sure of the size yet? Book a 30-minute scoping call.

Scoped per engagement.
Fixed once agreed.

Cost depends on the size of the project metadata and the number of dossiers in active use — so we scope after a short discovery session. Once agreed, the price is fixed.

MicroStrategy → Power BI

Scope and price are agreed after discovery. You receive a quote with a clear deliverable set — not a rough estimate revised later.

  • Metadata and schema mapping
  • Fabric data layer build
  • Metric translation to DAX
  • Dossier and report rebuild
  • Parallel-run validation
  • Cutover, handover and training
How pricing works

Discovery, then fixed

After discovery we define the exact metadata and report scope. The quote reflects that — locked before any work begins.

Scope changes are priced separately

Anything outside the agreed scope is a separate, priced change request. No creeping invoices mid-migration.

Not ready for the full move?

Start with a fixed 5-day Migration Audit — a readiness score and written roadmap, with no commitment to the full migration.

Common questions

Something not covered here? Ask directly.

MicroStrategy's schema objects translate, but not one-to-one. Attributes and hierarchies become Power BI dimension tables and hierarchies; metrics become DAX measures; the project metadata layer becomes a certified Power BI semantic model; dossiers and documents become Power BI reports and paginated reports. The translation work is mapping MicroStrategy's metric and attribute logic into DAX correctly — which is where most of the value and the risk sits.
Both, and in that order. The schema (attributes, facts, metrics, hierarchies) is the foundation — we rebuild it as a Power BI semantic model on a clean Microsoft Fabric data layer first, then rebuild the dossiers and reports against it. Migrating reports without rebuilding the model just moves the problem. The architectural choices behind this are covered in our guide to Microsoft Fabric architecture decisions.
They are re-expressed as DAX measures. Simple metrics are straightforward; compound metrics, level metrics and conditional metrics need careful translation so the numbers match. We validate each one against MicroStrategy output during the parallel-run phase rather than assuming the DAX is equivalent.
That is the explicit goal of parallel-run validation. The new Power BI reports run alongside MicroStrategy for an agreed period and we reconcile metric by metric until they match within tolerance. Sign-off is against that reconciliation, not a visual that looks about right.
The common drivers are licensing cost, a shrinking MicroStrategy skills pool, and consolidation onto a Microsoft stack the organisation already runs. On Fabric, Power BI reads data directly from OneLake via Direct Lake, so you get import-mode performance without the separate cube-and-extract layer MicroStrategy deployments usually carry.
It depends on the size of the project metadata and the number of dossiers in active use, so scope is agreed after a short discovery session. A single-project migration is faster than a multi-project enterprise metadata estate. Whatever the size, the scope, timeline and price are fixed before work begins.

Planning a move
off MicroStrategy?

Book a free 30-minute scoping call. We'll size the migration, flag the metric-translation risks, and send a fixed-price quote.