Your AI strategy is only as good as the data underneath it.
A value assessment and delivery program that consolidates a fragmented data estate onto Microsoft Fabric, with governance, lineage and cost control designed in from the start.
AIM Offer 04
Every important question takes three people and a spreadsheet.
The symptoms are consistent across organizations that have accumulated data platforms rather than designed one. Two reports disagree and both are defensible. A question from the CEO takes four days and produces a number with caveats. The analytics team spends most of its capacity moving and reconciling data rather than analyzing it. And every AI proposal stalls at the same question: which source is correct?
The underlying cause is usually structural. A warehouse from one era, a lake from another, integration built per project, reporting tools chosen by department, and governance that arrived after the architecture instead of with it.
Assess the estate, prove the value, then modernize in sequence.
AIM begins with a Fabric Value Assessment: a fixed-scope review of your current data estate, workloads, costs, governance posture and the business questions the estate is failing to answer. The output is a target architecture on Microsoft Fabric, a migration sequence prioritized by business value rather than technical convenience, and a business case that accounts for run cost, not only build cost.
Delivery follows the same sequence. We modernize in increments that each return something usable, rather than running a two-year program that pays out only at the end. Governance, lineage and access control are built in the first increment, not the last, because retrofitting them is where these programs usually fail.
What you receive
- A current-state assessment of platforms, pipelines, workloads, licensing and run cost
- A data governance and quality baseline, including lineage gaps and ownership
- A target Fabric architecture covering lakehouse, warehouse, real-time and semantic model design
- A prioritized migration roadmap sequenced by business value, with increment-level scope
- A business case covering build cost, run cost and the workloads that can be retired
- An AI readiness view showing which AI use cases the modernized estate makes possible, and in what order
- Delivery of the first increment, with governance in place
Business outcomes
- One governed source for the numbers the business argues about
- Analytics capacity redirected from data movement to analysis
- Retired platforms and consolidated licensing, with the run-cost saving identified before the program starts
- A data foundation your AI programs can actually build on
Is this you?
- Two reports on the same measure disagree and nobody can say which is right
- Your AI plans keep stalling on data quality, access or lineage
- You are running several analytics platforms and paying for all of them
- A simple business question takes days and a person who knows where things are
- You have been told to move to Fabric and want the business case before the migration
- Your data team's capacity goes to plumbing rather than insight
How it starts
A working session with the data owner and one business leader whose decisions are currently constrained by the estate. That second person matters. Data modernization programs that are justified technically rather than commercially are the ones that lose funding halfway.
The Fabric Value Assessment follows: fixed-scope, fixed-fee, delivered in weeks, with a business case you can take to a capital committee.