Anteodata services
When change starts at the top
If you want to understand data · CEO · General Director · Area ManagerThere is investment, there are projects, there is technology. Decisions are still made without reliable data.
It is not a technology problem. It is a model problem. Without real data ownership, operational governance and a platform that industrialises operations, every data initiative starts from scratch. DATUM changes that — with an honest starting point and measurable deliverables per phase, not at the end of the project.
73%of data transformation initiatives don't reach their objectives
2.4xmore profitable Data-Driven companies versus those that are not
68%of organisations don't know what to buy because the real problem isn't clear
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- Company leader · YOU ARE HEREChief Executive Officer
What does my company decide with governed data, and what does it still decide despite it?
This week, in your day-to-day
You decide every week on data no one guarantees.
A data-driven company isn't the one with the most data. It's the one that solved the problem before it reached the CEO's desk. When that problem reaches you, something upstream is broken.
01
In the last Executive Committee, two areas defended different figures for the same KPI.
You took a decision based on the figure that sounded more reasonable. Not because it was.
02
You approved an AI plan before having clarity on the data plan.
You approved it because competitive pressure doesn't wait. But you know the risk wasn't in the model: it was in what comes before the model.
03
You signed a deal with a due diligence where your own data wasn't certified.
Your bankers reviewed the other side's data in detail. On yours, they asked you to trust your team.
04
The board asked what your company does with its data. You didn't have a short answer.
Neither did the CDO or the CTO. For a board member, that's also an answer.
The diagnosis
Why investment in data doesn't translate into results.
01
Data investment without visible business impact
Platforms have been purchased, transformation projects launched, talent hired. But strategic decisions are still made without reliable data. Data still does not change how the organisation decides.
73% of data transformation initiatives do not achieve their business objectives within the expected timeframe. · McKinsey — The data-driven enterprise of 2025
02
Non-existent or ineffective data operational model
It is unclear who decides about data, who is responsible for its quality and who can authorise its use. Without a clear operational model — Data Office, Data Committee, Data Owners, Stewards — each area acts autonomously and data fragments.
Organisations without a formal data operational model spend 2x to 4x more on integration and quality projects than those with one. · Forrester — Total Economic Impact of Data Governance 2023
03
Dispersed initiatives without the right starting point
AI, advanced analytics and data product initiatives are prioritised before the foundation is ordered. Without common corporate semantics, guaranteed quality and real ownership, advanced initiatives fail at the foundation, not at the technology.
68% of enterprise AI projects fail in production due to quality and availability problems with underlying data. · Scale AI — State of AI/ML Survey 2023
How Datum solves it
An honest starting point and a model that generates measurable impact.
Datum starts by understanding where you really are, not where you'd like to be. And from there builds the model that turns data into a real strategic capability.
01
The right starting point
Honest assessment — no presales
Before proposing anything, we understand where the organisation really is: real maturity, critical domains, concrete blockers and what makes sense to build first. If DATUM is not the right answer for your situation, we will tell you.
02
Phase 1: 4-8 weeks · Phase 2: 12-16 weeks per domain
Measurable deliverables per phase, not at the end
Each adoption phase has concrete deliverables that business can see and validate. No endless analysis projects. No "you will see results in 18 months". In 30 days there is a first operational deliverable. In 90, business is already operating with governed data.
03
No dependency on Anteodata
Operational model the organisation can sustain
The goal is not that you depend on Anteodata to operate. It is that the organisation has the model, roles, platform and culture to govern data autonomously. When we leave, the model keeps working.
04
188% at 3 years · Payback in 13 months
Measurable ROI communicable to investors
Business case construction with real metrics: TCO reduction, analytics speed increase, development time reduction, and foundation ready for AI. An argument the CFO can defend and the Board can approve.
How we walk this with you
You receive decisions, not Excels.
The CEO shouldn't manage data. They should decide with it. Anteodata works with your CDO, CTO·CIO and CFO so that by the time it reaches the committee, data is already ordered, governed and traceable. You see conclusions.
01
WE START
We start by aligning your executive committee
The first task is political, not technical. We seat the CDO, CTO·CIO and CFO at the same table with a shared map: which domains are critical, which decisions depend on them, what ROI each one has. When the three sign the map, the rest flows.
02
WE ACTIVATE
We activate culture, not project
DATUM is not 'installed'. It's adopted. In 12-16 weeks your organization shifts conversations: from discussing 'which data is good' to discussing 'what we do with the data'. That's the signal that culture is changing.
03
WE LEAVE
We leave when deciding with data is normal, not exceptional
Success is invisible: when no one in your organization says 'according to the data' because there's no other way to say things. When we reach that point, Anteodata leaves. The culture walks alone.
What you have at each phase
From dispersed initiatives to real strategic capability.
Each phase has deliverables that management can verify and measure.
Honest diagnosis of real maturity level
Map of current initiatives and overlaps
Concrete roadmap proposal with success criteria
Informed decision on where to start
Do you recognise this situation?
Tell us where your organisation stands with data today.
A direct conversation with the founding team. No pre-sales. Within 48h we'll honestly tell you if we can help.
Real results · anonymised benchmarks
What Datum delivers for this profile.
3-year ROI in deployments with disruptive governance
188%
estimated TCO vs classical model
−45/55%
for the first data capability operational and visible
8 weeks
I stopped asking for 'the latest data' and started receiving conclusions. My committee shifted from discussing table versions to discussing business decisions.
Why Anteodata
We talk business, not technology.
01
Assessment with deduction if you contract Datum
Before proposing anything, we want to understand your real situation. The initial assessment has no cost — if we can't help you honestly, we'll tell you. No pre-sales, no generic proposals.
02
Measurable commitments, not promises
Each phase has success criteria that management can verify. We don't promise digital transformation — we commit to specific deliverables in specific timeframes.
03
Founding team, not sales team
Whoever presents the project is the one who executes it. There is no sales team that promises and a delivery team that delivers something different. You always talk to the people doing the work.
Your team isn't deciding alone
DATUM doesn't put you above. It puts you beside.
The CEO shouldn't manage data. They should decide with it. For that to happen, someone needs to order it as an asset (the CDO) and someone needs to capitalize it as investment (the CFO). DATUM articulates that relationship. These are the two people who deliver it worked.
Do you recognise this situation?
Tell us where your organisation stands with data today.
A direct conversation with the founding team. No pre-sales. Within 48h we'll honestly tell you if we can help.