Stage 1 - Align
Executive alignment on the decisions, KPIs and reporting that matter, plus an inventory of structured and unstructured sources.
What you walk away with
Business alignment
A data value map tied to the decisions the business needs
A prioritized data-product roadmap ranked by impact, effort and risk
A readiness scorecard across estate, governance, identity and capacity
A target architecture for your chosen platform
A governed foundation
A lakehouse and medallion model stood up in your own tenant
One structured and one unstructured source ingested and modeled
A governance baseline: catalog, lineage, sensitivity and access
A first business-facing data product your executives can open
AI-ready data
Unstructured content made queryable, not just stored
A clean base ready for assistants and agents to retrieve from
Dual-line cost model: platform plus cloud infrastructure
Adoption and scale plan your team can run
How the two stages run
Stage 1 - Score
Readiness scorecard and target architecture, with a prioritized data-product roadmap and an executive readout.
Stage 2 - Build
Stand up the lakehouse and governance baseline, ingest one structured and one unstructured source, enrich content with AI functions.
Stage 2 - Hand over
Deliver the first data product, adoption and scale handoff, executive readout and a 30-day check-in.
Built for
Organizations standardizing on Microsoft Fabric or Databricks
Organizations of 100 to 3,000 employees with at least one major line-of-business system
Both structured systems and unstructured content to unify
A managed Microsoft 365 or cloud tenant with a managed identity provider
Lead verticals: insurance and financial services; manufacturing, logistics and operations
At a glance
Stage one about three weeks, fixed fee
Stage two about four to five weeks, scoped by stage one
Client time roughly 10 to 12 hours assessment, 16 to 24 hours build
Client provides platform capacity; we resell none of it
Legacy metastore migration scoped separately
Where it leads.
A governed data foundation is what makes everything after it trustworthy. Most clients move from here into AI Deployment or Agent and Application Build, with the data products from stage two feeding both.
Find out what your data can actually support.
Start with the fixed-fee assessment. It scopes the build, so you decide what to take on with real numbers in front of you.