Data Hub Accelerator

Strategy in hand. Build plan out.

Complimentary 1 day

One complimentary day with your data / IT leaders and SMEs to turn your prioritized data goals into a detailed, costed execution plan for the Microsoft Data Platform, the “Day Two” step of the data journey, where strategy becomes the actions, designs, and funding that deliver it.

1 day
Working session, on site or virtual
2nd
Step of the data journey, after strategy
6
Working blocks, goals to roadmap
6
Artifacts: designs, specs, and costs

Arrive with priorities.

Microsoft hosted · Data Innovation Hub. Microsoft-hosted event exploring data scenarios and priorities.

ArchitectNow hosted · Data Strategy Day. ArchitectNow-hosted “Day One” session: vision, priorities, platform design.

Customer led · Your internal exercise. An in-house effort that has already prioritized your key data goals.

This session builds on one of the above; a Data Day-like exercise is the prerequisite. “Day Two” is the second step of the journey, not literally the next day: we schedule it when your priorities are agreed and the right people can be in the room.

Six artifacts, ready to execute.

Deliverable 01

Microsoft Data Platform Design

A finalized, detailed design: architecture, workspaces, CI/CD, security, and capacity at build-ready depth, including integration with your AI platform, and how Fabric or Databricks integrates with your existing environment.

Deliverable 02

Data Mapping & Data Flow Specification

The source to domain to asset to product journey for every prioritized analytics goal, captured as a working spec.

Deliverable 03

Patterns, Operations, and Governance Specification

Monitoring, alerting, BC/DR, security, sensitivity and classification, and governance, aligned to roles and responsibilities.

Deliverable 04

Platform Run-Cost Estimates

What the Microsoft Data Platform costs to run for your scope and volumes, sized from the day’s volumetrics review.

Deliverable 05

Implementation Approach & Roadmap

The recommended build-out approach and a sequenced roadmap, more detailed than the Data Day roadmap, with your team’s dependencies flagged.

Deliverable 06

Total Cost of Ownership & Funding

A TCO for the roadmap, and Microsoft funding arranged to execute it for qualified accounts.

Six blocks. Roughly 9 to 4, with a working lunch.

01 · Morning

Analytics Goals

Review the key priorities for analytics, the BI and AI outcomes, top down, that the day plans against.

02 · Late Morning

Data Mapping

Map the detailed data source to data domain to data asset to data product journey each goal requires.

03 · Midday

Scope & Volumetrics

Agree the data scope and data volumes involved in enabling the analytics, sizing the platform honestly.

04 · Early Afternoon

Accelerating Data Value with AI

Vision how AI accelerates data management, data engineering, and data insights, and how data platform knowledge integrates with AI agents.

05 · Mid Afternoon

Patterns, Challenges, and Governance

Cleansing and integration challenges, ingestion cadence, delta-load readiness, monitoring, alerting, BC/DR, CI/CD, security, sensitivity and classification, and governance, by role.

06 · Late Afternoon

Roadmap & Sizing

A roadmap and effort-sizing exercise aligned to priorities, with team dependencies and funding path named.

A partner, not a vendor.

4 Solutions Partner Designations

Data & AI · Digital & App Innovation · Infrastructure Azure · Support Services.

AI Apps on Azure Specialization

Held by a small fraction of partners. Production AI on Azure, verified by Microsoft.

Microsoft MVPs on staff

Engagements led by Microsoft-recognized practitioners with 15+ years on the platform.

Microsoft funding pathway

Our Azure specialization lets us nominate qualifying engagements for Microsoft Azure investment funding, subject to Microsoft eligibility and approval.

Turn agreed priorities into a funded build plan.

30-minute sponsor call to confirm your prerequisite and set the agenda.

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