Whether you are evaluating the Microsoft Fabric analytics platform or already running workloads on it, our work is organized into four engagements:
We design and build your Fabric environment, from Lakehouse and Data Warehouse architecture to Data Factory pipelines and Data Engineering workloads connected to your existing business systems.
We move data from legacy warehouses and on-premises SQL Server into OneLake, rebuild your pipelines in Data Factory, then rebuild or repoint your existing BI reports and semantic models to the new data layer.
We review your data sources, governance, security, tenant settings, and licensing, then deliver a prioritized roadmap with a right-sized Fabric capacity recommendation.
We monitor and tune your workspaces, capacity usage, and pipelines, including real-time intelligence and Fabric Activator (formerly Data Activator) workloads, so your platform stays reliable and cost-efficient.
Whether Copilot in Fabric is available to you depends on your licensing, Fabric capacity, tenant settings, and
data readiness, and our readiness assessment reviews all four.
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We work with mid-sized businesses and large enterprises across Canada and the USA that hold data in several systems and want one Microsoft Fabric data platform for analytics:
Banks and insurers consolidating risk, customer, and regulatory reporting data into a governed Data Warehouse that their data science teams can also use.
Clinical and administrative teams combining operational and patient-flow data in a Lakehouse under strict access controls.
Departments reporting across program, finance, and service data held in separate systems.
Operations teams tracking production, inventory, and shipment data across several sites, with real-time analytics for live equipment and shipment signals.
We scope each engagement around your data sources, team skills, and reporting goals.
No. Power BI is one of the Fabric workloads, so you can start with Fabric alone, and any existing Power BI reports and semantic models can be brought into Fabric workspaces. We review licensing and capacity during planning.
A readiness assessment usually takes two to four weeks, and a full platform build-out commonly runs two to four months depending on data sources, volumes, and governance requirements. We confirm the schedule with you before work begins.
Microsoft Purview supports data classification and sensitivity labels in Fabric, while Microsoft Entra ID and Fabric workspace roles control who can access each workspace and item. We configure these controls to fit your compliance program, and your own legal and compliance team still reviews the requirements.
Whether you are mapping your first Fabric workspace or tuning a platform already in production, schedule a free consultation and we can scope the next step in a single call.
