Finomics connects Fabric capacity, CU consumption, workspace activity, OneLake storage, and Azure cost data — giving finance and engineering teams a unified view of spend and optimization.

Capacity, CU consumption, workspaces, storage, and cost attribution — unified in one view.

From capacity pricing to anomaly detection — every dimension of your Microsoft Fabric spend, surfaced and actionable.
Track spend per F-SKU, compare reserved vs. on-demand pricing, and monitor throttle risk in real time before it impacts users.
Drill into hourly and daily compute unit burn by workload type. Identify spikes, compare against capacity limits, and pinpoint cost drivers.
Attribute 100% of Fabric spend to the workspace, team, and business unit. Chargeback-ready reports built from CU telemetry and Azure billing.
Surface OneLake storage growth trends per workspace alongside compute costs. Prevent surprise charges with capacity alerts.
Detect and alert on throttle events indicating capacity pressure. Historical trend analysis shows recurring patterns so you can schedule workloads.
ML-based models forecast next-period Fabric spend and flag abnormal consumption early. Reduce budget surprises with a 7-day look-ahead.
Seven stages transform raw Microsoft Fabric telemetry into actionable FinOps decisions.


Finomics surfaces the workloads, workspaces, and capacity patterns that matter most — before overruns become problems.
F64 SKU running at 58% average over 30 days — reserved capacity underutilized.
CU consumption in ML Training increased 24% vs. prior period without corresponding business activity.
CU consumption within 3% of forecast. Workspace cost attribution aligned with team budget.

Finomics gives finance and engineering teams the Fabric cost intelligence they need to optimize spend, hit budgets, and move faster.