Service 04 · Analytics
Analytics and AI on Microsoft Fabric and Power BI
Once your data is on a modern Microsoft platform, analytics and AI become practical. We build governed data models in Microsoft Fabric, move legacy reporting to Power BI, and prepare trusted data for Copilot and Azure AI.
What we deliver
- Microsoft Fabric implementation: OneLake, lakehouse and warehouse design, medallion architecture and governance
- Power BI: semantic models, enterprise reporting, and performance and capacity tuning
- Report migration: OBIEE, Cognos, BusinessObjects, Crystal Reports and SSRS to Power BI
- Real-time analytics: event streams and dashboards with Fabric Real-Time Intelligence
- AI-ready data: clean, governed, secure data for Copilot, Azure OpenAI and retrieval-augmented generation (RAG)
- Data governance: Microsoft Purview cataloging, lineage, sensitivity labels and access controls
AI fails without trusted data
Hallucinations and data leaks usually come from data problems, not model problems. We start from the database: consistent definitions, lineage, quality checks and security. That's what makes AI answers trustworthy enough to act on.
Start small, scale with confidence
AI-ready
Quick wins on the systems you already have: priority reports and a governed semantic model.
AI-enabled
A departmental Fabric implementation with production pipelines and Power BI.
AI-first
Enterprise-wide Fabric, governance and AI use cases built on trusted data.
Analytics & AI FAQ
Can you migrate our existing reports to Power BI?
Yes. We inventory reports, retire the unused ones, rationalize duplicates, and rebuild the rest on shared Power BI semantic models so numbers match across the business.
Do we need Microsoft Fabric to use Power BI?
No. Power BI works on its own, but Fabric adds data engineering, warehousing and OneLake storage in the same platform and licensing model. We'll tell you when Fabric is worth it.
How do you make data ready for Copilot and AI?
We consolidate and clean source data, document business definitions in semantic models, enforce security and sensitivity labels, and expose governed data to AI services so answers are grounded in approved sources.
Related services
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Get a fixed-scope migration assessment: inventory, complexity scoring, target recommendation and an AI-accelerated plan.