For organizations whose reports disagree with each other, or whose AI plans depend on data nobody owns.
We get your data ready for reporting and AI on Microsoft Fabric and OneLake, with owners, labels, and access rules. On top come Power BI reports people trust and the data products Copilot and agents draw on.
Fabric readiness and roadmap sets the plan, the Fabric foundation and data products build it, and Power BI reporting is where people see the result.
Fabric readiness and roadmap
Estimated 3–4 weeks
Your data environment inventoried and reviewed, from sources and reports to ownership and skills, with a recommendation on Fabric, Azure data services, or staying put.
What you get
Data source and report inventory, with owners
Data-domain readiness scored, with gaps in ownership and data rules
Target architecture: Fabric, Azure data services, or both
Capacity and licensing options laid out
A roadmap by business priority
Best for
No clear picture yet of which sources feed which reports, or whether Fabric is the right platform.
Fabric foundation and data products
OneLake, workspaces, and a lakehouse built with Purview labels and access rules designed in, and curated data products for reports, Copilot, and agents on top of it.
What you get
Tenant settings, capacities, and workspace structure
Lakehouse or warehouse layout with raw, cleaned, and report-ready layers
Pipelines and dataflows from your source systems
Purview labels and access rules
Data products with owners, definitions, and quality rules
Grounding sources and Fabric data agents for Copilot and agents
Best for
A first data platform, or spreadsheets and extracts standing in for one, with AI plans that depend on it.
No. Microsoft 365 Copilot works on the data already in Microsoft 365. Fabric matters when Copilot, agents, or reports need data from your business systems, or when several reports disagree because each has its own extract. The Assess phase tells you which case you are in.
Fabric, Azure data services, or what we have?
The Assess phase answers that per workload. Fabric suits organizations that want one platform for data engineering, warehousing, and Power BI under one capacity. Existing Azure Synapse or SQL Server environments can stay and connect, and the roadmap says what moves and when.
What happens to our existing Power BI reports?
They keep working. We rebuild the semantic models people disagree about, migrate reports from Report Server or legacy tools where that is the plan, and set row-level security and workspace roles so the right people see the right numbers.
How long does a Fabric program take?
It depends on how many sources and reports move and how much data quality work they need. The foundation and the first data products are built in phases, each with a pilot. Fabric readiness and roadmap above lists its estimated length.
What drives the scope of a data platform project?
Mostly how many data sources and reports are in scope, and whether a warehouse or lake exists today. How much data quality work is needed, which AI use cases the data must serve, and who runs the platform afterwards matter too.
Not yet. Our delivered data work is on Power BI and Power Platform, including the Copilot adoption dashboard in our case study. Fabric work follows Microsoft’s Cloud Adoption Framework, and the proposal says plainly where it would be our first Fabric deployment.
Talk to us about Data Platform and Microsoft Fabric
It starts with a 60-minute call. If we need more to scope it, a short questionnaire follows. Then a written proposal and statement of work. Once you approve, we begin with the Assess phase.
