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G3℠ Methodology — Block 1 (Data Governance & Stewardship) | EWSolutions
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Data Governance & Stewardship

G3℠ — the operating model, stewardship structure, and accountability chain that hold when boards, regulators, and the market test them.

A proprietary methodology for designing and operating enterprise data governance and data stewardship programs — including the responsible-AI operating models the next generation of regulators is asking for. In continuous use since 2006 and documented down to the narrative so accountability survives the org chart that designed it.

Schedule the Executive Diagnostic → See G3℠ inside the methodology system →

At a glance

2006

In active continuous use since

~140

Documented narratives in the G3℠ library

70+

Artifacts, project plans, and templates

40%+

Average implementation-time reduction

100%

EWSolutions project success rate since 1997

Delivery-acceleration figures are average outcomes observed across documented client engagements; actual results depend on scope and starting maturity.

What G3℠ is for

Governance designed in — not assigned after a consequence.

In most enterprises, "data governance" is a slide that names a council, a steward, and a policy. Then a data-quality issue hits a regulatory filing, an AI model produces an output legal cannot defend, or a downstream consumer asks who approved a transformation — and the slide does not answer any of those questions. G3℠ is the methodology behind operating models where decision rights, ownership, and accountability are designed in before they are tested.

  • Decisions made about your data will end up in a regulatory filing, a board paper, an audit, or an FOIA request.
  • AI or advanced-analytics workloads need an accountability chain regulators expect to see — not a policy written after launch.
  • Multiple business units disagree about who owns the customer, the product, the revenue figure, or the patient record.
  • Governance has been "stood up" before and the program quietly stopped within 18 months.
  • The board has asked "who decided this?" — and the answer required a forensic reconstruction.

How it works

From governance strategy to AI-governance extension — the G3℠ sequence.

Six stages, each producing working artifacts and documented narratives added to the G3℠ library — the operating model is captured as it is designed, not assembled after the council has stopped meeting.

Stage  01

Governance & stewardship strategy

Strategy is anchored to specific decisions the program must defend — not to a generic maturity model. Output: a board-approvable scope, an executive sponsor map, and a defensibility map of which decision rights the program must own first.

Stage  02

Operating-model design

G3℠ designs the data-governance council, the domain structure, the escalation paths, and the decision rights as one coherent operating model — not as a stack of slides. The council architecture is captured in narratives that survive the executive who sponsored them.

Stage  03

Policy, standards, and stewardship roles

Stewardship is operationalized as a discipline, not assigned as a job title. Roles, RACI, policy authority, and the discipline of escalation are defined in writing and added to the library before the first quarterly council meeting.

Stage  04

Data-quality governance & lineage anchoring

Governance without data-quality enforcement is theatre. G3℠ ties data-quality rules, ownership, and lineage anchoring to the operating model — coordinated with M3℠ where the metadata methodology is engaged in parallel.

Stage  05

Adoption, training, and change management

A governance program is adopted, not announced. G3℠ covers the rollout sequence, the training discipline, the communication cadence, and the change-management discipline that lets the operating model survive the first twelve months — when most improvised governance programs fail.

Stage  06

Maintenance, escalation, AI-governance extension

G3℠ treats the governance operating model as a continuously-defended asset. The methodology covers the maintenance cadence, the escalation discipline, and the extension pattern for responsible-AI operating models — the layer regulators are now asking for.

G3℠ Methodology — Block 2 (Data Governance & Stewardship) | EWSolutions

Why this matters

Three things G3℠ delivers that an improvised governance program cannot.

Accountability is designed in, not allocated after a consequence.

Ownership of data, of model risk, and of downstream impact is assigned at design time and captured in the operating-model narrative. When a regulator, a board, or a journalist asks who decided this, the answer is on the page — not in a forensic exercise.

The operating model survives the sponsor who built it.

G3℠-built governance programs are inherited, not restarted. When the CDO who sponsored the council moves on, the narrative library means the next CDO reads what was decided and why — not a charter that quietly stopped being enforced.

The AI-governance layer is an extension, not a rebuild.

G3℠ is the methodology behind every EWSolutions AI-governance engagement, including responsible-AI operating models. When the next wave of AI regulation lands, the existing governance architecture extends to cover it. You do not pay for the program twice.

What the client receives

A documented, audit-ready governance operating model — not a closing report.

Standard G3℠ deliverables travel with the program after the engagement closes:

  • Defensibility map — decisions the governance program must defend, mapped to data, owners, and councils.
  • Governance strategy & roadmap — scope, sequence, sponsor map, and board-approvable timeline.
  • Operating-model design — council structure, domain architecture, escalation paths, and decision rights.
  • Stewardship operating discipline — roles, RACI, escalation rules, policy authority, stewardship cadence.
  • Policy library — data-quality, access, retention, AI-use policy, and the change-control discipline behind each one.
  • Data-quality governance plan — rules, owners, and enforcement cadence, anchored to lineage via M3℠.
  • Adoption & change-management plan — rollout sequence, training, communication cadence, first-12-month milestones.
  • Maintenance & escalation playbook — quarterly cadence, decision-record discipline, escalation triggers.
  • AI-governance extension blueprint — responsible-AI operating model, model-risk accountability, integration with data governance.
  • Templates from the G3℠ library — drawn from 70+ project plans and example artifacts refined since 2006.

Where G3℠ is used

The methodology behind every EWSolutions governance and AI-governance engagement.

Data Governance consulting guided by G3℠

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AI Governance and responsible-AI operating models built on G3℠

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Data Literacy programs anchored to G3℠ stewardship

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Enterprise Data Management with G3℠ as the accountability layer

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Proof in practice

Four engagements where governance had to withstand cross-examination — from FOIA to FDA.

Each extends the G3℠ methodology's defensibility surface — and each is on the public record.

G3℠ Methodology — Block 3 (Data Governance & Stewardship) | EWSolutions
David Marco — President and Executive Advisor of EWSolutions

Executive Leadership

David Marco

President & Executive Advisor

A globally recognized authority on Data Management and AI Governance, David Marco has defined the discipline that organizations now rely on to govern their most critical data assets. His proprietary frameworks — including G3℠ — have shaped enterprise programs at the world's most complex organizations.

  • Author of the industry's definitive metadata management texts
  • Architect of the Big Data Meta Model — an industry first
  • Advisor to Federal agencies including the DoD, FBI, and FAA
  • 100% program success rate across 28 years of executive leadership
Full Biography →

Talk to a senior advisor

Discuss how G3℠ applies to your governance initiative.

A 30-minute Executive Diagnostic, personally led by David Marco Scoped to your initiative — not to a sales script. We will tell you which methodology fits your problem (M3℠, I3℠, or G3℠), what a defensible operating-model design looks like, and what a no-go answer would mean.

Schedule the Executive Diagnostic →

A senior advisor will reply within one business day · no marketing sequences.

Frequently asked

What CDOs and architects ask before they engage.

Does G3℠ also cover AI governance, or is that a separate methodology?

G3℠ is the methodology behind every EWSolutions AI-governance engagement. Responsible-AI operating models are built as an extension of the data-governance architecture G3℠ produces — not as a parallel program. This is deliberate: the regulatory pressure now landing on AI is governance pressure, and the accountability chain that defends one extends to defend the other.

Our governance program "stood up" eighteen months ago and quietly stopped. Why is G3℠ different?

Most improvised governance programs fail in the first twelve months because the operating model was announced rather than adopted. G3℠ treats adoption, change management, and the first-year cadence as core methodology stages — not as a post-launch concern. The narrative library means the next CDO inherits a working program, not a restart.

How does G3℠ relate to M3℠ and I3℠ when we engage on more than one?

The three methodologies are designed to compose. G3℠ architects the operating model and accountability chain; M3℠ carries the metadata and lineage that make governance enforceable and auditable; I3℠ delivers the analytic platform on the governed substrate. Most enterprise programs engage two or three together, sequenced into a single integrated delivery rather than parallel projects.