Advisory

Data Governance and Modernization Readiness

AI ambition often moves faster than data readiness. The gap is where enterprise risk concentrates.

The Issue

Boards and C-suites approve AI strategies without always knowing whether the underlying data foundation can support them. AI outcomes depend on data quality, ownership, lineage, definitions, privacy, security, and governance maturity. When those foundations are weak, AI initiatives produce inconsistent results, erode trust, and expose the organization to risks that are difficult to explain at the board level.

Data modernization failures are often explained as platform, architecture, or implementation issues. But many begin with unclear ownership, weak governance, conflicting definitions, and unresolved decision rights. The technology may be sound. The accountability model often is not.

How I Help

Dr. David Marco works with boards, CEOs, CIOs, CDOs, CTOs, and executive teams to connect data governance, modernization, and readiness to the outcomes leadership is promising.

Data Governance Strategy and Operating Model

Designing governance structures that clarify data ownership, stewardship, authority, and decision rights across the enterprise. Building governance that absorbs conflict, supports scale, and holds under executive pressure.

Data Readiness Assessment for AI and Analytics

Evaluating whether the data foundation is strong enough to support AI, analytics, modernization, and executive decision-making. Connecting data quality, trust, lineage, and control to the AI strategy.

Metadata Management and Data Quality

Helping organizations establish the foundational disciplines that make data discoverable, trustworthy, and governed. Metadata management, data quality, and business glossary programs that serve the enterprise, not just the technology function.

Data Modernization Accountability

Reframing modernization as an enterprise accountability challenge rather than a technology upgrade. Ensuring that ownership, governance, decision rights, and value measurement are designed before the platform migration begins.

Who This Is For

  • CEOs and boards overseeing data modernization investments
  • CIOs and CDOs responsible for data strategy and governance
  • CTOs and CAIOs whose AI strategy depends on data readiness
  • Organizations where data governance exists but accountability remains fragmented
  • Executive teams preparing major data or platform modernization programs

The Question This Advisory Answers

Is the data foundation strong enough to support the AI strategy, analytics ambitions, and modernization outcomes leadership is promising?

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