Overview
This engagement modernizes fragmented data environments into a governed, secure, and cloud-scale estate optimized for enterprise analytics and future AI adoption.
What You Will Gain
- Enterprise-Grade Data Estate: Unified, scalable data platform for analytics and AI.
- Improved Governance & Security: Compliant and secure data environment.
- Cost Savings: Retire legacy data platforms efficiently.
- Future-Ready Foundation: Enables cloud-scale analytics and AI adoption.
What Is Included
The engagement includes platform consolidation, governance setup, and enablement assets for sustained adoption.
- Consolidated data estate in Azure Synapse or Microsoft Fabric.
- Governance framework using Microsoft Purview.
- Documentation, training for IT/analytics teams, and adoption roadmap.
Engagement Timeline
- Phase 1 – Assessment & Planning: Review current environment, map data sources (up to 6), design target architecture, develop migration strategy
- Phase 2 – Migration & Validation: Migrate and consolidate data, configure Microsoft Purview, validate performance, accessibility, and security
- Phase 3 – Optimization & Enablement: Optimize for performance and cost, train teams, deliver roadmap for advanced analytics/AI
- Overall Duration: 12–16 Weeks
Who This Offer Is For
- Organizations with siloed data looking to modernize their data platforms.
- Enterprises aiming to consolidate multiple data sources for analytics and AI.
- Teams seeking governance, compliance, and cloud-scale readiness.
Prerequisites
- Access to existing data sources and associated documentation.
- Volume and complexity of data may impact schedule and budget.
- Oakwood will set up an Azure tenant to support the data warehouse.
