Strategy in hand. Build plan out.
One 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.
Prerequisite · 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.
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
What you get
Six artifacts, ready to execute.
01Microsoft 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.
02Data Mapping & Data Flow Specification
The source to domain to asset to product journey for every prioritized analytics goal, captured as a working spec.
03Patterns, Operations, and Governance Specification
Monitoring, alerting, BC/DR, security, sensitivity and classification, and governance, aligned to roles and responsibilities.
04Platform Run-Cost Estimates
What the Microsoft Data Platform costs to run for your scope and volumes, sized from the day’s volumetrics review.
05Implementation Approach & Roadmap
The recommended build-out approach and a sequenced roadmap, more detailed than the Data Day roadmap, with your team’s dependencies flagged.
06Total Cost of Ownership & Funding
A TCO for the roadmap, and Microsoft funding arranged to execute it for qualified accounts.
How it works
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.
Why ArchitectNow
●4 Solutions Partner Designations
Data and AI · Digital and App Innovation · Infrastructure Azure · Support Services.
●AI Apps on Azure Specialization
Held by less than 4% of partners. Production AI on Azure, verified by Microsoft.
●Azure AI & Data MVPs on Staff
Engagements led by Microsoft-recognized practitioners. 15+ years on the stack.
●Microsoft Frontier Funding (qualified accounts)
Five times the funding is available now; we arrange Microsoft funding to execute your roadmap. Subject to Microsoft eligibility.