Governance · Data Committee as a Service

A committee designed to decide. Not to meet.

We design and operate the Data Committee as a corporate decision mechanism: clarified RACI, backlog with impact analysis, structured agenda, minutes with agreements and real follow-up until closure. The space where data priorities are decided and cross-cutting conflicts are resolved.

Service at a glance
  • Framework · DAMA · RACI Model · Corporate backlog
  • Modality · Monthly retainer or per session
  • Audience · CDO · Data Director
  • Continuity · CDO Service · DATUM · Operational governance
When this service makes sense

Signs that data governance needs a decision mechanism.

The signal is not the absence of a committee. It is the committee that is convened, meets and closes without closed decisions, firm deadlines or named owners. Four patterns where Data Committee as a Service activates decision from the first session.

Committee that decides, not just informs

When sessions exist with cadence but relevant topics are postponed to the next meeting, the committee informs but does not decide. The service activates structured agenda with impact analysis and RACI from the first session.

Agreements traced with deadline and owner

When minutes record commitments but no one does structured follow-up, the same points reach the next Committee with more antiquity. Each agreement is traced with measurable owner, deadline and success criterion.

Ownership conflicts with arbiter

When two areas claim the same data and the Committee postpones the decision, the conflict blocks initiatives for months. With clear RACI and unique Accountable defined, ownership conflicts are resolved in session, not entrenched.

Committee connected to technical backlog

When Committee decisions don't reach the operational backlog, governance lives separated from execution. The service integrates both planes with bidirectional traceability from the first session.

The Data Committee works when designed to decide.

Not to inform.

What Data Committee as a Service is

The corporate data decision body, activated and operated

The Data Committee is the corporate decision body for data: it approves policies, resolves ownership conflicts, prioritizes the corporate backlog and traces commitments with deadline and owner. Its function is not to execute operational detail — it is to decide, arbitrate and trace.

As an externalized service we activate the Committee with the appropriate dynamic, agenda and governance model. We operate the sessions, maintain the corporate backlog, do structured follow-up of agreements and report to the Management Committee. When the organization is ready, we transfer the model for autonomous internal operation.

Principles

What our Committee model rests on

01
Committee that decides, with structured agenda

Each session has an agenda signed before convening, impact analysis in the room and a defined decision model. Decisions are not made in abstract — they are made with information.

02
RACI without ambiguity

Each type of decision has unique Accountable and clear Responsible executor. There are no collective decisions without owner — there are closed decisions with a named owner.

03
Connected corporate backlog

The backlog lives before and after the Committee. Each point enters with systematic impact analysis and exits with commitment traced to the operational technical backlog.

04
Structured follow-up

Each agreement has deadline, owner and success criterion. There is follow-up between sessions and automatic escalation if not met. The main KPI is % agreements closed on time.

05
Conflict resolution in the room

Ownership and priority conflicts are arbitrated in the Committee with common criteria — value·risk·cost·dependency·alignment. Not delegated informally, not postponed indefinitely.

Scope

What the service includes

Five blocks of work that activate and sustain the Data Committee as a real decision mechanism, not as a status meeting.

Governance model design

Fixed agenda, participants, functions, decision model, escalation criteria and initial backlog of conflicts to resolve.

Activation and facilitation

We operate the first sessions, establish the dynamic, facilitate debates and leave minutes, commitments and backlog traced from the start.

Recurring operation

We manage the biweekly or monthly agenda, facilitate sessions, do structured follow-up of commitments and report to the Management Committee.

Corporate data backlog

Inventory and maintenance of the backlog with systematic impact analysis: data, systems, business, security. Prioritization by objective criteria.

Traceability and reporting

Dashboard of % agreements closed on time, conflicts resolved, decisions per domain. Regulatory compliance as natural consequence of the model.

How we activate the Committee

Four phases to recurring operation in less than 6 weeks

A short and operational methodology. The Committee is operational from session 1 with decision model, agenda and RACI already defined. Handover to the client is planned from day one.

01
Phase of the Committee model
Model design

We define the agenda, participants, functions, decision model and escalation criteria. We identify the first backlog of active conflicts to resolve.

02
Phase of the Committee model
Activation and first sessions

We operate the first 2 or 3 sessions, establish the dynamic, resolve the first ownership conflicts and leave minutes, commitments and backlog traced from the start.

03
Phase of the Committee model
Recurring operation

We manage the biweekly or monthly agenda, facilitate sessions, do follow-up of commitments and report to the Management Committee with measurable KPIs.

04
Phase of the Committee model
Maturity and handover

We build internal capacity to manage the Committee autonomously, with the model, dynamics and dashboard already implemented. At 24 months the client operates without external dependency.

A committee with an agenda decides.

A committee with traced agreements governs.

Deliverables

What the organization receives

Committee governance model

Fixed agenda, participants, functions, decision model, escalation criteria and clarified RACI. The executive piece that defines how the Committee decides.

Operational sessions with minutes

Structured convening, agenda with impact analysis, facilitation, signed minutes and commitments traced with deadline and owner.

Corporate data backlog

Living list of initiatives, conflicts and commitments with owner, date and status. Maintained between sessions, not only during the meeting.

Follow-up dashboard

% agreements closed on time, % conflicts resolved, decisions per domain. Operational KPIs of data governance measurable from the first session.

Governance traceability

Each decision is recorded with who made it, when and under what criterion. Regulatory compliance as natural consequence of the model.

Handover plan

Operational documentation of the model, training for the internal team and 24-month evolution plan so the organization operates the Committee autonomously.

Results

What changes when the Committee operates

Active decision mechanism

Data decisions are made, documented and executed. Ownership conflicts are resolved — not postponed indefinitely.

% agreements closed on time
Prioritized corporate backlog

A living list of initiatives, conflicts and commitments with owner, date and status. The Committee agenda has real basis.

Living backlog between sessions
Auditable governance traceability

Each decision is recorded with who made it, when and under what criterion. Regulatory compliance as natural consequence of the model.

100% decisions traced
Governance that scales with the organization

The Committee model replicates per domain as it matures. Extending what already works, not redesigning.

Replicable model per domain
How it is contracted

Contracting model

Approximate durationContinuous operation. Initial activation in 4–6 weeks. Handover to the client planned at 24 months.
ModalityMonthly retainer or pay per session, according to Committee cadence (biweekly or monthly) and contracted facilitation scope.
BillingFixed monthly fee in retainer modality; per-session rate in occasional modality. Dashboard and follow-up between sessions included in both cases.
Natural continuityCDO as a Service, DATUM implementation, operational data governance or integration with the Data Office with real Data Owners and Stewards.
Why Anteodata

Four differentials that change the result

01
Committee that closes agreements on time

Our main KPI. Each Committee agreement has owner, deadline and success criterion. There is structured follow-up and escalation if not met. The Committee generates traceable commitments — not reports without consequence.

02
Backlog with systematic impact analysis

Each point that reaches the Committee comes with data, systems, business and security analysis, valued alternatives and technical recommendation from the Governance Lead. Decided with information — not in vacuum.

03
RACI without ambiguity and connected to the technical backlog

Each type of decision has a unique Accountable and a clear Responsible executor. Committee decisions reach the operational backlog — governance does not live separated from execution.

04
From operated service to autonomous client

We start by fully operating the Committee. At 12 months the client takes over with us as consultant. At 24 months, autonomously with the model, RACI and dashboard already implemented.

Who leads this in your organisation?

A specific profile, a real question.

If you lead data in your organization
CDO · Data Director
«How do I activate a Committee that decides on time and connects with execution?»

Committee that meets with cadence but does not close agreements. Ownership conflicts postponed for months. Decisions without traceability or structured follow-up.

Operational Committee in less than 6 weeks
Banking · Corporate data governance
100%
agreements closed on time

Data Committee as decision mechanism in multi-country banking

RACICorporate backlogMulti-domain
Real results

Projects completed in environments where data has real consequences.

No client names — results that speak for themselves.

Banking · Consumer finance2017 · 2020
+1,500%
analytical performance
International financial institution
Global architecture and analytical modernisation

Design of the global data ecosystem architecture, legacy platform integration and analytical modernisation for a financial institution operating across multiple countries.

  • +1,500% analytical performance
  • −60% development effort
  • Corporate exploitation active
Enterprise ArchitectureLambdaHybrid cloudBusiness Intelligence
View full case →
Retail · Restaurant group2025 · Present
+60%
operational savings
International organised foodservice group
Federated governance and Data Platform transformation

Definition of the corporate data strategy, implementation of a federated governance model and design of a modern architecture based on Databricks, Confluent Cloud and Snowflake to industrialise data exploitation and optimise platform costs.

  • >60% operational savings
  • Scalable federated model
  • FinOps integrated from day 1
Data GovernanceData PlatformDataOpsFinOps
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Healthcare · Precision oncology2021 · 2023
−70%
clinical integration time
Specialised healthcare group
Clinical data governance and interoperable model

Definition of the data strategy and a Data-Driven architecture to activate precision oncology analytics, clinical data governance under HL7 FHIR and mCODE standards, and interoperability between heterogeneous systems.

  • −70% clinical data integration time
  • 4 clinical systems unified
  • Precision analytics active
DAMAKappaFHIRData Governance
View full case →
What those who have worked with us say

Trust is built project by project.

+1,500% analytical performance
«For the first time we have a model that business and technology read the same way. Governance stopped being a document and became something that actually operates day to day.»
Director of Digital Transformation
Banking · Consumer finance
+60% operational savings
«The cost reduction was real and measurable from the first quarter. But the most valuable thing was having a platform the team can operate and evolve without depending on permanent consultancy.»
CTO·CIO
Retail · Organised foodservice
−70% clinical integration time
«Anteodata didn't arrive to sell a solution. It arrived to understand our real problem — and that made the difference in an environment where data has direct clinical consequences.»
CDO
Healthcare · Precision oncology

Representative · pending authorised publication

Keep exploring

Connect with the next layer

A committee that decides well needs the right people, the right tools, and a clear contracting model.

Data Committee as a Service

Does your Committee decide or just meet?

Start with a 30-minute conversation to evaluate the real fit of the service in your context. No pre-sales, no deck — executive diagnosis.