Anteodata services
If real authority is not yet in place
If you lead data · CDO · Data Governance Lead · DPOThe roles are defined on paper. The Data Committee meets. Policies exist. But the catalogue is outdated, quality is not measured systematically, and Committee agreements do not close on time. The Data Office exists as a document, not as an operational corporate unit. Datum activates the model — from the Data Governance Lead who implements it to the Data Office Manager who scales it.
Each profile has its own conversation with data. Find the one closest to yours.
Who owns which data, and who answers for it when something breaks?
When data has no operational owner, the consequences always land in the same place: in the conversation the CDO shouldn't have to hold.
And you have no lineage or business KPIs tied to the spend. The honest answer isn't the one they want to hear.
Three areas defend three different numbers for the same KPI. You have to arbitrate without owning the source of truth.
You know the traceability exists somewhere. You also know reconstructing it manually will take weeks.
Before you can explain why that's a problem, the first meeting is already on your calendar.
The CDO coordinates but does not decide. Data Owners are nominal — typically IT technical profiles without real functional mandate. Decisions about data continue to be made by those who control systems, not those who should custodise meaning and use.
Policies are written. The DAMA framework is documented. But metadata is not updated, quality rules are not executed automatically and the Corporate Data Backlog does not exist or is not prioritised with real criteria.
The Data Office coordinates, documents and reports. But it lacks mechanisms to make governance work day-to-day: no operational backlog, no active quality scorecards, no automated traceability. Every audit is a manual reconstruction.
Datum does not replace the CDO. It activates the four roles that turn the mandate into real operations.
Translates policies and Committee decisions into real, controlled and measurable processes. Coordinates Data Owners and Stewards, manages the corporate data backlog, prepares the Committee's agenda and minutes, resolves operational governance conflicts. Start-up role — brings order and discipline.
Runs the Corporate Data Catalogue and Business Glossary. Validates that every asset has Owner, description, domain, criticality and documented lineage. Rejects incomplete entries and enforces updates before production. Without this role there is no traceable governance.
Operates the corporate Quality Framework with its dimensions (completeness, validity, consistency, uniqueness, accuracy). Defines rules per domain, monitors scorecards, coordinates remediation plans. Can block the promotion of critical data with insufficient quality.
The model's inflection point. When governance is implemented, the Committee runs with cadence and Owners are autonomous, the Lead role evolves to Manager: annual planning, capacity, budget, executive reporting and multi-domain roadmap. The focus shifts from implementing to optimising and scaling.
Anteodata is not a technology vendor. We are an implementation partner. We work with a three-phase pattern that ends with your organization running without us.
The first 2-3 weeks we don't install anything. We map your critical domains, identify your potential Data Owners and validate the real scope with your existing Committee, or we create one if there isn't. You decide which domains come in first.
DATUM operational + Data Committee functioning + 2-3 domains with assigned, trained and active Owners and Stewards. Real traceability of the first governed data. This is not a theoretical framework: it's active ownership.
Our goal is that within 6-9 months your organization runs DATUM without us. We stay only what's needed for scaling by domain. Autonomy is success; dependency is our failure.
Extract from the operational RACI matrix Datum implements from month one. Clarifies responsibility sharing between CDO, Governance Lead, Data Office Manager, Owner, Steward and Architecture.
R = Responsible · A = Accountable · C = Consulted · I = Informed
| CDO | Gov. Lead | DO Manager | Data Owner | Steward | Architecture | |
|---|---|---|---|---|---|---|
| Define data strategy | A | C | C | I | I | C |
| Define governance model | A | R | C | C | C | C |
| Chair Data Committee | A/R | I | I | I | I | I |
| Prioritise data backlog | A | R | C | I | C | C |
| Quality framework | A | R | I | C | C | C |
| Corporate catalogue management | I | C | I | C | R | I |
| Annual Data Office plan | A | C | R | C | C | I |
| Executive reporting to Management | A | C | R | I | I | I |
The Data Office is not a 90-day project. It is an organisational lifecycle with a clear inflection point at 12–24 months, when the Lead hands over execution and the role evolves to Manager.
Governance framework approved. First corporate data backlog inventoried and prioritised. Data Committee with structured agenda. First Data Owners and Stewards assigned by domain. Quality rules active on critical assets. Operational KPIs begin to be measured.
We start with an assessment of the current operating model. We identify which roles are active, which are nominal, which KPIs are really measured and what the first step is to move governance out of documents.
Within 12 weeks we had an active data committee, real Owners and the first certified KPIs. Anteodata didn't sell us a product: they helped us make decisions we weren't making ourselves.
Our team operates with the DAMA-DMBOK framework as its base, not as a distant reference. The governance model we implement is certifiable, not improvised.
% domains with Owner and Steward active. % backlog analysed and prioritised. Quality scorecard evolution. % critical assets catalogued. % Committee agreements closed on time. What gets measured, gets managed — and here it's measured from week one.
We don't hand over a framework and disappear. The Data Governance Lead who implements the model is the same one who coordinates Owners, runs Committees and manages the backlog until the client assumes the role autonomously.
Activating data governance is not about winning an internal negotiation. It's about building an operating system where every role has its natural ownership and the time to focus on its real job. These are the two people most likely to walk this path with you.
We start with an assessment of the current operating model. We identify which roles are active, which are nominal, which KPIs are really measured and what the first step is to move governance out of documents.