You sit down with a scored comparison of Fabric, Snowflake, and Databricks against your actual workloads. The decision takes a week. The CFO accepts the rationale without a second review.
Your pipelines, semantic models, and reports move to Fabric on a phased schedule. End users see the same dashboards with better performance. Admins see OneLake-native lineage for the first time.
Your Fabric capacity review runs weekly. Idle dataflows get paused. Heavy notebooks get right-sized. The CU bill matches the value your business is getting.
A new engineer joins. They get a one-page OneLake guide — which workspace, which shortcut, which lakehouse, which semantic model. No three-week tribal-knowledge discovery.
Your operational event stream lands in Eventhouse in sub-second. Anomaly detection fires on Data Activator in real time. The dashboard reflects it without a nightly refresh.
Copilot for Power BI is enabled for your sales team — they ask questions in natural language against a trusted semantic model. Copilot for Fabric is enabled where it accelerates Spark notebook work. It's scoped to clear ROI, not a blanket rollout.

D&K | United States

Royal Stone | Canada

Willybesmart | United States

Darcy | United Kingdom

Industry MC | United States

Truespot | United States

United States

Chile

Austria

Folding Production Control System | Mexico

Website development | USA

United Kingdom
Customer analytics, inventory forecasting, and analytics engines that reduce churn and increase basket size.
Patient data platforms, clinical reporting, and HIPAA-compliant analytics environments for providers and health-tech.
Real-time transaction analytics, fraud detection, regulatory reporting, and risk dashboards.
Project data consolidation, budget tracking dashboards, and supply chain analytics across multi-site operations.
High-volume device data ingestion, stream processing, and analytics platforms for connected product companies.
Operational analytics, quality control monitoring, and supply chain visibility platforms.