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.
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:
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.
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.
Start with Power BI reports that have:
A simple rule is Prioritize reports by business value versus migration complexity.
Before moving Power BI reports, ask:
| 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:
Some teams validate these decisions through a focused Proof of Value (PoV) before committing to a broader migration.
A PoV can help test:
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.
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:
You can reuse existing Power BI semantic model when:
But don’t use existing model if it has:
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:
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?”
| 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 |
Before reports are moved, teams need to decide whether the underlying data should sit in a Fabric Lakehouse, Warehouse, or both.
This depends on:
As a general guide:
Many organizations end up using both, with each serving different workloads. Getting this decision right early avoids rebuilding the foundation midway through migration.
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:
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.
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:
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.