Problem this solves
Leadership sees problems after they hit the scorecard. Forecasts, capacity risk, churn, and margin pressure need earlier signals.
Predictive Analytics
See the operating signal before it becomes the problem.
LUMATARRA connects predictive analytics to executive decisions: forecast demand, revenue, margin, capacity, churn, and risk, then surface the signal through Power BI, AI briefs, and Teams alerts.
What we build
Forecasting models, risk indicators, anomaly detection, Power BI views, and alerts connected to the executive operating cadence.
What the client gets
Earlier action, fewer surprises, better planning, and predictive signals that show up in scorecards, briefs, and Teams alerts.
Timeline
A focused predictive signal can start as a V1 when the historical data, owner, decision use case, and success measure are clear.
Microsoft stack
Microsoft Fabric Data Science, Power BI, Azure ML, Azure AI services, Teams workflows, and governed data models.
Use cases
Forecast what leadership can actually act on.
The value is not the model. The value is earlier action inside the operating cadence.
Revenue and margin forecasting
Capacity and labor planning
Customer risk and churn signals
Operational exception prediction
Built on
Built on Microsoft analytics, data science, and AI services.
Predictive work only matters when it is connected back into the reporting and operating cadence leaders already use.
MS
Azure ML
Model training, evaluation, deployment, and lifecycle management.
MS
Microsoft Fabric Data Science
Notebooks, experiments, and data science workloads near the data.
MS
Power BI forecasting
Forecasts and trends surfaced in executive reporting.
MS
Azure Synapse
Large-scale analytics patterns for historical and operational data.
MS
Cognitive Services
Prebuilt AI capabilities for language, vision, and document intelligence.
The value is not the model. The value is earlier action.
Start with one signal leadership can use in the next operating rhythm.