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Practical resources that turn research into action

These are not generic downloads. They are practical tools for architecture reviews, platform assessments, AI rollout decisions, and FinOps prioritization, grounded in data governance, platform engineering, and cloud operating principles used by mature teams.

The structure is informed by DAMA-DMBOK, Azure Well-Architected, and FinOps Foundation guidance so the questions point to criteria that matter in production environments.

Actionable
Shareable
Built for repeat use
Checklist

Data architecture maturity checklist

A 25-point framework for evaluating architecture, governance, analytics, AI readiness, and cloud cost in one practical scan for technical reviews.

  • Use it with a team in a single review session.
  • Save your progress and return later.
  • Turn the gaps into an execution roadmap.
Open checklist → Read supporting articles
Scorecard

Data platform maturity scorecard

A guided self-assessment with weighted answers, a total score, maturity levels, and suggested next priorities for platform modernization work.

  • Benchmark maturity across six dimensions.
  • Get a score you can discuss with stakeholders.
  • Use the recommendations as a prioritization tool.
Try the scorecard → Get the weekly brief
Diagnostic

AI production readiness diagnostic

A compact review for deciding whether a use case is ready to move from pilot mode into governed production execution with concrete delivery and risk criteria.

  • Assess the data foundation, governance, and operational maturity before investing more.
  • Highlight the gaps that create delivery risk instead of just technical debt.
  • Use it to decide where a pilot should be strengthened before scaling.
Open diagnostic → Explore related analysis
Scorecard

Data product opportunity scorecard

A practical way to decide whether a dataset, dashboard, or service deserves the investment of becoming a governed data product with clear business value.

  • Score business value, reuse potential, data quality, ownership, and operating cost.
  • Separate initiatives that are useful from those that are truly strategic.
  • Turn the result into a product roadmap instead of a backlog of requests.
Open scorecard → Return to hub
Diagnostic

Data governance under DAMA

A practical governance review for checking whether stewardship, policy, quality, and decision rights are really operating in the organization.

  • Review governance across policy, stewardship, quality, and accountability.
  • Use it to identify where governance is still documentary instead of operational.
  • Turn the result into a concrete roadmap for ownership and control.
Open governance review → Return to hub
Matrix

FinOps prioritization matrix

A simple decision tool to prioritize cloud cost actions where they will change the economics of the platform, not just the invoice.

  • Map initiatives by impact and effort so the team focuses on the best leverage points.
  • Separate quick wins from architectural changes that unlock durable savings.
  • Use it to keep cost work tied to business value and platform health.
Open matrix → Get the weekly brief
Diagnostic

BigQuery cost governance diagnostic

A 12-point evaluation to determine whether your BigQuery environment has the preventive controls to anticipate, attribute, and reduce costs before the invoice arrives — not after.

  • Assess visibility, budget alerts, quotas, and query governance in one session.
  • Identify the structural optimization gaps with the highest cost impact.
  • Turn the result into a concrete FinOps action plan for the platform team.
Open diagnostic → Read the analysis
Checklist

Governed semantic layer readiness checklist

A 20-point checklist to verify whether your team has the technical and organizational maturity to implement a semantic layer as a governed contract — not just another metrics destination.

  • Verify single-definition coverage, change governance, and observability in one scan.
  • Identify where the model is a technical layer versus a real organizational contract.
  • Use it to decide where to invest before adding new metrics to the model.
Open checklist → Read the analysis
Matrix

Storage strategy decision matrix

An interactive decision tool that evaluates your use case across five dimensions — update frequency, read pattern, volume, traceability, and logic complexity — and scores materialized views, incremental models, and base tables against your real requirements.

  • Get a scored recommendation with technical justification, not just a rule of thumb.
  • Understand the exact trade-off the winning strategy makes against the runners-up.
  • Use it to align engineering and analytics on the right choice before building.
Open matrix → Read the analysis
Diagnostic

Regulated AI traceability diagnostic

A 15-question diagnostic aligned with EU AI Act and DAMA principles to evaluate whether your AI system can demonstrate every decision to an external auditor — with complete technical, legal, and operational evidence.

  • Assess traceability, regulatory evidence, change control, and human accountability.
  • Identify the gaps that would block a compliance audit before they are discovered externally.
  • Use it for health, legal, pharmaceutical, or financial AI deployments requiring full auditability.
Open diagnostic → Read the analysis

Why this matters

Practical resources create a clear reason to return, share, and keep the conversation moving. They turn the site from a passive publication into a working reference.

How to use the hub

  • Start from a concrete need: architecture, governance, cost, or AI readiness.
  • Use the result to decide what to improve first.
  • Come back when the context changes or the team has new priorities.