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Power BI to Microsoft Fabric Migration: What Moves First | ProArch

Written by Revanth Sonnati | Jul 14, 2026 1:38:58 PM

Moving to Microsoft Fabric means your Power BI visualization layer stays unchanged.

Your reports operate in a Fabric environment where multiple teams can collaborate in one place, making reports more governed and scalable.

The underlying semantic models are redesigned based on whether heavy transformations are built in Power Query, performance, and growing governance needs in the organization.

Teams still need to decide which reports move first, which semantic models can be reused, and where redesign creates more value.

TL;DR

  • Power BI remains the reporting and visualization layer after moving to Microsoft Fabric
  • Teams should prioritize reports based on business value, complexity, ownership, and model quality
  • Existing semantic models can be reused when they are clean and stable
  • Models with heavy transformations, inconsistent logic, or performance issues may need redesign

What Does Moving Power BI Reports to Microsoft Fabric Mean?

Moving to Microsoft Fabric does not mean replacing Power BI.

If your team is still evaluating the platform itself, start with What Is Microsoft Fabric? A Practical Guide for Enterprises before planning a Power BI migration.

You are not throwing away your reports, dashboards, or the work completed. Power BI remains the front-end experience that users know and rely on, while the main change happens in the data platform supporting those reports.

For many organizations, this becomes more than a migration.

It is an opportunity to reassess how data, reporting, and analytics should evolve, while establishing a stronger foundation for future Fabric capabilities, AI-driven experiences, and emerging concepts such as ontological models.

Instead of Power BI sitting across disconnected SQL environments, Synapse workloads, dataflows, and scripts, Microsoft Fabric brings more of the analytics lifecycle into one data platform:

  • Data ingestion, storage, transformation, modeling, and reporting can work together
  • Power BI reports operate on a more governed and scalable data foundation
  • Data, engineering, and reporting teams can collaborate in a shared environment

In one of our recent engagements as a Microsoft Fabric Featured Partner for an energy trading organization, reporting was working well, but the underlying data platform needed a more scalable foundation.

  • Data came from multiple systems.
  • Data volumes were expected to grow significantly.
  • The business needed to validate that the platform could support larger workloads and future analytical demands.

Fabric unified the architecture behind Power BI without disrupting existing reports, while providing a scalable foundation for growing data volumes.

In simple terms, Power BI remains the reporting and visualization layer, while Microsoft Fabric becomes the unified data platform behind it.

Which Power BI reports should move to Fabric first?

Start with Power BI reports that have:

  • More business value
  • Less migration complexity
  • Clear ownership, and
  • Well-structured models.

A simple rule is Prioritize reports by business value versus migration complexity.

Before moving Power BI reports, ask:

  • Which reports matter most to the business?
  • Which ones are used daily vs occasionally?
  • Which reports directly support leadership decisions or revenue-generating activities?
  • Which reports are facing performance, refresh, or governance problems?
  • Which reports have clear ownership and if they are available to support the migration?
  • How complex is the underlying data model?

Power BI to Fabric Migration Priority Guide

Prioritize: High value, manageable effort Defer: Low value or high effort
Leadership reports One-off reports
Clear owners and users Unused reports
Operational or financial dashboards Complex embedded logic
Well-structured models No business sponsor
Example: Sales performance dashboard used by leadership daily Example: Ad hoc report with unclear ownership

Report selection is not only a migration exercise. Reviewing the report inventory reveals reports that are rarely used, duplicate other assets, or no longer support current business priorities.

In some cases, consolidating, replacing, or retiring reports creates more value than moving everything unchanged.

In one of our manufacturing engagements, instead of migrating everything, we picked up a small set of high-value reports. That helped the team:

  • Understand how data was being used across the business
  • Identify hidden complexities and dependencies that were not visible earlier
  • Design a proper semantic model before scaling the migration

Some teams validate these decisions through a focused Proof of Value (PoV) before committing to a broader migration.

A PoV can help test:

  • Architecture choices
  • Reporting requirements
  • Operational considerations
  • Expected outcomes within a smaller scope

It may use an existing report, a redesigned reporting scenario, or a new use case built on a greenfield data model. The findings can then help shape the broader migration roadmap.

Power BI Lift and Shift vs. Redesign

One of the most important migration decisions is whether to reuse an existing Power BI semantic model or redesign it in Microsoft Fabric.

Teams generally have two options:

  • Power BI lift and shift (Reuse what exists)
  • Design Fabric semantic model

You can reuse existing Power BI semantic model when:

  • The model is already clean, well-structured, and maintained
  • Most of the logic is well-documented and not buried inside Power BI
  • You need to move faster with minimal disruption
  • Migration is the priority and not the optimization
  • The report is low value and stable, with no immediate need for redesign.

But don’t use existing model if it has:

  • Heavy transformations built in Power Query
  • Similar business logic handled differently in multiple reports
  • Growing performance issues
  • Governance needs the current model cannot meet

This is when teams should consider a Fabric semantic model redesign.

Fabric semantic model redesign takes more effort, but it can pay off in terms of performance, governance, and reusability.

During a recent Fabric project, we found transformation logic and business rules spread across multiple reporting assets. Redesigning the semantic model helped centralize that logic, strengthen governance, and create a more reusable reporting foundation.

The redesign also helped the team:

  • Shift logic into structured layers
  • Build proper Bronze, Silver, and Gold datasets
  • Create a reusable semantic model

So instead of asking, “Should we migrate everything the same way?” teams should ask, “Which reports are worth modernizing, and which ones can simply be moved?”

Power BI Semantic Model Reuse vs Fabric Semantic Model Redesign

Lift and Shift Redesign on Fabric
Faster, lower-risk migration Better performance and governance
Minimal report disruption Direct Lake and AI-ready
Keeps technical debt Needs more effort
Limits scale and AI-readiness Requires deeper planning

Should You Use a Fabric Lakehouse, Warehouse, or Both Before Moving Power BI Reports?

Before reports are moved, teams need to decide whether the underlying data should sit in a Fabric Lakehouse, Warehouse, or both.

This depends on:

  • The type of data
  • The complexity of transformations
  • Whether the team works primarily in SQL or in code

As a general guide:

  • A Lakehouse is preferred for teams working with large or varied data and code-based transformations
  • A Warehouse is preferred for teams working in SQL with structured, relational data.

Many organizations end up using both, with each serving different workloads. Getting this decision right early avoids rebuilding the foundation midway through migration.

How Should Teams Plan Fabric Capacity for Power BI Reports?

For teams currently on Power BI Premium, Fabric capacity planning matters even more.

Microsoft has introduced Fabric capacities alongside Power BI Premium capacity options, so the capacity model itself changes as part of the move.

Fabric capacity planning should be based on:

  • Actual workloads
  • Refresh frequency
  • Dataset sizes, and
  • Number of concurrent users
  • Future growth demands

This helps avoid cost surprises and performance bottlenecks after migration.

Do not assume that the same Power BI Premium capacity will work in Microsoft Fabric.

Plan Your Power BI to Microsoft Fabric Migration with ProArch

As a Microsoft Fabric Featured Partner, ProArch helps organizations assess their current Power BI estate and plan their move to Fabric.

Our team can help you:

  • Prioritize the right Power BI reports to move first
  • Lift and shift existing Power BI models
  • Redesign them in Microsoft Fabric
  • Choose between Fabric Lakehouse, Warehouse, or a hybrid approach
  • Plan Fabric capacity

Evaluating a Power BI to Microsoft Fabric migration? Fabric ImpactNOW helps assess your estate, prioritize reports, review semantic models, and define a practical migration roadmap. Talk to ProArch.

P.S. ProArch helps clients access funding programs to accelerate Microsoft Fabric adoption - covering analytics modernization, data platform transformation, and AI-driven use cases, subject to eligibility criteria.