An evidence-led, fixed-scope, fixed-price readiness sprint that turns your Power BI estate into a confident, low-risk transition plan for Microsoft Fabric.
3 Weeks . Fixed Price . Fixed Scope
3 Weeks
6 Assessment Areas
4 Deliverables
High workspace volumes, overlapping semantic models, and stale reports that inflate the apparent scope of migration.
Power BI and backend workloads sharing capacity makes right-sizing decisions unreliable without proper measurement.
Reserved vs. pay-as-you-go decisions carry meaningful budget implications that require actual usage data to get right.
Ownership gaps, naming inconsistencies, & unmanaged access become amplified, & costlier, inside Fabric's consumption model.
Without governance guardrails in place, Fabric's per-CU billing can produce consumption spikes that catch finance teams off guard.
Complete inventory of the Power BI estate, including usage information.
A clear assessment of the estate, with items categorized for keep, retire, merge, or rebuild decisions.
A capacity-sizing view based on actual usage, refresh patterns, and workload demand, including F-SKU path and commercial model recommendation.
A practical workload-placement recommendation designed to reduce contention and support more predictable performance.
A clear view of ownership, naming, access, and distribution gaps across the estate and steps to address them.
A practical roadmap with guardrails and priority actions to support a more controlled move into Fabric
01
Key findings, risks, and recommended next steps in a concise format suitable for CIO, IT, and business decision-makers
02
A phased plan covering sequencing, dependencies, priority actions, and the recommended path into Fabric
03
Recommended capacity path with a cost comparison across commercial options, based on actual usage, workload demand, and transition scenarios.
04
Detailed findings across inventory, rationalization, workload placement, governance, and capacity, with supporting rationale for each recommendation
€14,500
Duration: 3 Weeks
Suitable when there are no active Fabric workloads, no complex Azure service dependencies, and standard networking.
➤ Multiple P-SKU capacities to rationalize
➤ Mixed workspace ownership and governance gaps
➤ Reserved vs PAYG decision with meaningful budget implications
➤ BI estate with reports and models to rationalize
€20,500
Duration: 5 Weeks
Suitable when Fabric workloads are active or planned, existing Azure data services influence the decision, or networking requirements add additional complexity.
➤ Active or planned Fabric Lakehouse, pipelines, or Spark.
➤ Azure Data Factory, Synapse, or ADLS integration questions.
➤ Private endpoint or VNet gateway requirements.
➤ Multi-region or multi-tenant capacity design.
A half-day scoping exercise based on exported capacity metrics and a 90-minute working session. Deliverable: A two-page summary covering an initial F-SKU sizing view, key decision risks, likely sprint complexity, and a recommendation on whether a full sprint is needed.
The initial call is a 30-minute conversation to understand your environment and identify the ideal next steps for your team.
The initial call is a 30-minute conversation to understand your environment and identify the ideal next steps for your team.
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