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Enterprise BI Modernization

The full program: consolidating legacy BI platforms onto Power BI and Microsoft Fabric, with governed semantic models, validated migration, and a decommission plan that actually retires the old estate.

What You Get

N to 1Platforms consolidated onto one stack
GovernedCertified models as the foundation
ValidatedEvery output reconciled in migration
RetiredLegacy actually decommissioned, not parked
What's Included

Enterprise BI Modernization: the full scope

Multi-platform consolidation
Crystal, SSRS, BO, Cognos, Tableau, Qlik, and more onto one Microsoft stack.
Fabric data foundation
OneLake, Lakehouse, and pipelines replacing mart and extract sprawl.
Governed semantic layer
Certified shared models as the single source of truth.
Program-managed waves
Domain-by-domain delivery with validation gates and parallel runs.
Governance and enablement
Standards, security, and training so the platform sticks.
Decommission execution
License and infrastructure retirement, evidenced.
How We Work

Structured delivery, every engagement

The same disciplined framework behind our enterprise migrations: documented, validated, and led by senior expertise from start to finish.

1

Assess

Inventory every report, data source, and dependency. Usage analysis identifies what actually matters.

2

Rationalize

Retire duplicates and unused reports. Typically 30 to 50 percent never need migrating.

3

Modernize

Rebuild on Power BI and Fabric with governed semantic models and validated outputs.

4

Govern

Workspaces, row-level security, certified datasets, and documented standards.

5

Enable

Training and handover so your team owns the platform, not a vendor.

Talk to a specialist

A free 30-minute discovery call: bring your questions about enterprise bi modernization, leave with a clear next step and an honest read on effort and cost.

Book a Discovery Call →
Common Questions

Enterprise BI Modernization FAQ

How is this different from a migration project?

Scale and scope: modernization programs span multiple platforms and domains, include the data foundation and governance layers, and are managed as sequenced waves over quarters, not a single lift-and-shift.

How do you keep a program this size on track?

Wave structure with validation gates: each domain proves out (inventory, migrate, reconcile, cut over, retire) before the next scales. Fraser Health ran exactly this way across 16+ domains and 500+ reports.

What does leadership see along the way?

A wave dashboard: reports migrated, validated, and retired; licensing savings banked; risks and decisions needed. Progress is measured in decommissioned legacy, not effort spent.

Where do savings come from?

Retired licensing (BO, Cognos, Tableau, Qlik renewals), decommissioned servers, and the 30 to 50 percent of reports rationalization removes before anyone migrates them.

Related Services

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