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DACS Defensible Analytics Control Spec
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DACS Defensible Analytics Control Spec
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Start with your responsibility. Read what matters.

Choose the role closest to your accountability area. Start with the essentials; follow the optional deeper reading only when your decision or work requires it. These paths are guides, not required steps.

Jump to your role

Select a role below. Each link takes you directly to its reading path.

  • CEO / Business Owner
  • Board Member / Board Risk Committee
  • CFO / Finance Leader
  • COO / Business Operations Leader
  • CIO / CTO
  • CDO / Data Governance Leader
  • CAIO / AI Leader
  • Risk / Compliance / Internal Audit
  • Enterprise / Data Architect
  • Practitioner / Assessor / Implementer

How to use the paths: โ€œStart hereโ€ is the shortest useful route. โ€œGo deeperโ€ is optional supporting material, not an extra compliance requirement. If you cover multiple responsibilities, follow more than one path.


CEO / Business Owner

Your question: Can I stand behind the information used for our most important decisions?

Start here

  1. Defensible Analytics โ€” Recognize the business exposure.
  2. DACS Framework โ€” See how accountability and evidence connect.
  3. DACS First Look โ€” Choose one consequential decision to examine.

Go deeper when needed

  • Where Defensible Analytics Matters โ€” See where reliance creates business consequences.

Back to role selector โ†‘


Board Member / Board Risk Committee

Your question: What should management demonstrate before relying on high-impact evidence?

Start here

  1. Where Defensible Analytics Matters โ€” Identify the board-level exposure.
  2. DACS Framework โ€” Understand the accountability structure.
  3. Accountability Gates โ€” See how restrictions and exceptions remain visible.

Go deeper when needed

  • DACS First Look Example โ€” Examine an illustrative management-level finding.

Back to role selector โ†‘


CFO / Finance Leader

Your question: Are our measures defined and supported for this financial decision?

Start here

  1. What is Defensible Analytics? โ€” Understand the difference between a number and defensible use.
  2. Semantic Contracts โ€” Examine definition, grain, authority, and permitted use.
  3. DACS First Look Example โ€” See how a disputed metric changes a decision.

Go deeper when needed

  • Accountability Gates โ€” See how an unresolved failure constrains use.
  • DACS First Look โ€” Start with a bounded finance decision.

Back to role selector โ†‘


COO / Business Operations Leader

Your question: Can our teams use the same measures consistently across business processes?

Start here

  1. System of Information Management โ€“ SIM โ€” Understand operational information responsibilities.
  2. How SIM and SIM-ZONEs Organize Information Readiness โ€” Understand readiness boundaries across business activity.
  3. DACS Adoption Roadmap โ€” See how to expand without an enterprise-wide launch.

Go deeper when needed

  • Semantic Contracts โ€” Clarify the meaning of shared operational measures.
  • Accountability Gates โ€” See when teams may proceed or must restrict use.

Back to role selector โ†‘


CIO / CTO

Your question: How can we use the systems and controls we already have?

Start here

  1. How Defensible Analytics Fits With Existing Data and AI Controls โ€” See what existing platforms can contribute.
  2. DACS Operating Model โ€” Understand the evaluation and readiness loop.
  3. DACS Adoption Roadmap โ€” Plan bounded implementation.

Go deeper when needed

  • DACS Profiles โ€” Determine which additional controls apply.
  • Accountability Gates โ€” Connect technical evidence to permission to proceed.
  • DACS Specification โ€” Inspect the normative requirements.

Back to role selector โ†‘


CDO / Data Governance Leader

Your question: How do we make business meaning and evidence accountable for actual use?

Start here

  1. DACS Principles โ€” Establish governing principles.
  2. Semantic Contracts โ€” Bind definitions and use boundaries.
  3. DACS Profiles โ€” Identify applicable control obligations.

Go deeper when needed

  • System of Information Management โ€“ SIM โ€” Clarify information management accountability.
  • How SIM and SIM-ZONEs Organize Information Readiness โ€” Separate different readiness contexts.
  • Accountability Gates โ€” See how evidence informs disposition.
  • DACS Specification โ€” Review the control language.

Back to role selector โ†‘


CAIO / AI Leader

Your question: When is AI output allowed to influence a material decision or action?

Start here

  1. DACS Framework โ€” See how AI-supported decisions fit within the whole.
  2. How Defensible Analytics Fits With Existing Data and AI Controls โ€” Locate the contribution of AI guardrails.
  3. DACS Profiles โ€” Understand when AI-related obligations apply.

Go deeper when needed

  • DACS Operating Model โ€” Trace evidence, evaluation, and review.
  • Accountability Gates โ€” Distinguish control results from permission to act.
  • DACS Specification โ€” Examine normative requirements for material AI use.

Back to role selector โ†‘


Risk / Compliance / Internal Audit

Your question: What evidence supports a permitted action, and can we inspect it later?

Start here

  1. Accountability Gates โ€” Understand disposition, restrictions, and exceptions.
  2. DACS First Look Example โ€” See a bounded evidence assessment in context.
  3. DACS Specification โ€” Examine the testable requirements.

Go deeper when needed

  • DACS Operating Model โ€” Follow control results into readiness states.
  • DACS Profiles โ€” Check control applicability.
  • DACS Use, Licensing & Conformance โ€” Understand the stated conformance and use boundary.

Back to role selector โ†‘


Enterprise / Data Architect

Your question: How do scope, identity, meaning, relationships, and controls fit together?

Start here

  1. DACS Operating Model โ€” Follow the six-stage operating loop.
  2. System of Information Management โ€“ SIM โ€” Identify management responsibilities.
  3. How SIM and SIM-ZONEs Organize Information Readiness โ€” Define readiness boundaries.

Go deeper when needed

  • Semantic Contracts โ€” Bind authoritative meaning and permitted use.
  • DACS Profiles โ€” Match controls to scope.
  • How Defensible Analytics Fits With Existing Data and AI Controls โ€” Locate existing evidence producers.
  • DACS Specification โ€” Review formal control requirements.

Back to role selector โ†‘


Practitioner / Assessor / Implementer

Your question: What should I test, record, and remediate?

Start here

  1. DACS Operating Model โ€” Learn the complete evaluation sequence.
  2. DACS Profiles โ€” Determine which controls apply.
  3. DACS Specification โ€” Use the normative requirements as the reference.

Go deeper when needed

  • Accountability Gates โ€” Record allowed and restricted use.
  • DACS First Look โ€” See how the initial assessment is bounded.
  • DACS First Look Example โ€” Examine sample findings and next steps.
  • Semantic Contracts โ€” Work through governed meaning and scope.
  • DACS Adoption Roadmap โ€” Place repeatable implementation in context.

Back to role selector โ†‘


Prefer to start with the business question?

If none of these titles fits, start with the question you need to answer.

  • Can we trust this number for this decision? โ€” Understand the evidence and scope problem.
  • Who decides whether we may proceed? โ€” Understand the recorded readiness decision.
  • Can we use our current controls? โ€” See how existing investments contribute evidence.
  • What happens on Day One? โ€” Understand the bounded First Look.
  • What would a First Look produce? โ€” Review an illustrative completed assessment.

For the complete system view, visit the DACS Framework. For publications, use the DACS Library.

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