Stop Running a Modern Enterprise on a Legacy Data Warehouse
We migrate on-prem data warehouses to Microsoft Fabric and Azure Synapse — consolidating years of siloed clinical, operational, financial, and ERP data into a single, governed cloud platform that powers faster decisions and unlocks AI readiness.
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Your legacy warehouse is costing you more than the maintenance contract.
Reporting measured in days, not minutes
When analysts spend a week extracting and reconciling data that should be queryable in minutes, the business doesn't just lose time — it loses the ability to act on current information.
Scaling by procurement, not by need
On-prem infrastructure grows by hardware cycle. Every month-end close, peak season, or new data source becomes a capacity negotiation, not a configuration change.
Every cross-functional report is a manual exercise
When clinical, financial, operational, and ERP data live in separate systems with no common layer, every cross-departmental number requires a reconciliation meeting before anyone trusts it.
AI and ML initiatives blocked at the source
Modern AI workloads require clean, governed, accessible data. Legacy warehouses weren't built to serve ML feature stores, Copilot integrations, or real-time semantic models — and retrofitting them rarely works.
A structured migration path. Assessment to production in weeks, not years.
Discovery & Data Landscape Assessment
We audit your existing warehouse: schema complexity, data volume, source system inventory, query patterns, downstream report consumers, and governance gaps. Migration risk areas and quick wins are identified before a single line of code is written.
Target Architecture Design
We design your cloud-native target state on Microsoft Fabric or Azure Synapse — including ingestion layers (Azure Data Factory / Fabric Data Pipelines), medallion-layer data organization, semantic model structure, RBAC and access governance, and Power BI reporting architecture. We select the platform for your use case, not for our convenience.
Migration & Pipeline Build
We execute: historical data migration, ETL/ELT pipeline development, data validation, and performance tuning. Structured data from ERP, CRM, EHR, billing, and operational systems — plus semi-structured and unstructured sources — are unified into a governed, queryable layer.
Activation & Enablement
Power BI dashboards and semantic models are delivered to business users. Your team is trained. Documentation is handed off. Reporting that took a week now takes hours.
Microsoft Fabric or Azure Synapse — we match the platform to the problem.
Microsoft Fabric unifies data engineering, data warehousing, real-time intelligence, and Power BI in a single SaaS platform backed by OneLake. For organizations invested in the Microsoft ecosystem, Fabric eliminates the complexity of stitching together multiple point solutions.
- Fabric Warehouses and Lakehouses on OneLake
- Fabric Data Pipelines for ERP, EHR, and operational system ingestion
- Bronze/Silver/Gold medallion-layer data organization
- Power BI semantic models with Direct Lake mode and row-level security
- Microsoft Entra ID integration for access governance
Microsoft Fabric on AzureFor organizations with existing Azure investments or workloads that require dedicated SQL pools and deep integration with Azure ML, Synapse Analytics remains a powerful, enterprise-grade option.
- Dedicated and serverless SQL pools for mixed analytical workloads
- Synapse Pipelines for high-volume ERP and CRM data ingestion
- Integration with Azure Data Lake Storage Gen2
- Synapse Link for near-real-time operational analytics from Cosmos DB and Dynamics 365
Azure Synapse AnalyticsCloud data warehouses we've shipped across industries.
Unified clinical, financial, and operational reporting for a health system
A regional health system was running clinical reporting, revenue cycle analytics, and operational dashboards across three disconnected platforms. Month-end reports required manual data exports and spreadsheet reconciliation — consuming an analyst team's full week every cycle.
NCompas designed and built a unified data warehouse on Microsoft Fabric, ingesting data from their EHR, billing system, and operational databases through automated Fabric Data Pipelines. Power BI semantic models delivered self-service dashboards to finance, clinical leadership, and operations — with role-based access ensuring the right data reached the right team.
- Reporting time reduced from 1 week to 4 hours.
- 8 structured and unstructured data sources unified into a single governed platform.
- Finance, clinical, and operations teams now work from one trusted number.
What makes our data warehouse practice different
Microsoft + Databricks dual expertise
We're not locked into one vendor. We select the right platform for your architecture — whether that's Microsoft Fabric for a Microsoft-native organization or Databricks Lakehouse for teams running mixed cloud workloads. You get the best fit, not our preferred sale.
Industry-aligned data models
We bring pre-built schema patterns and semantic model templates for healthcare, manufacturing, EV/energy, and retail — so you're not starting from a blank canvas on day one.
AI-readiness by design
Every warehouse we build is structured so your AI, ML, and Copilot teams can use it immediately. Governance, lineage, and semantic layer are built in from the start — not retrofitted later.
Migration without disruption
We run parallel validation environments during migration so your business keeps operating while the new platform is being tested and hardened.
Your legacy warehouse is holding back your
analytics — and your AI roadmap.
Tell usFAQs
Data Warehousing — FAQ
Answers to the questions data and IT leaders ask before starting a cloud data warehouse migration or consolidation.