If you lead business · CFO · COO · Analytics Director

KPIs do not match across departments. Management debates the numbers, not the decisions.

Each area produces its own version of the same indicator. Reports arrive late, change between versions and nobody can explain where a figure comes from. Business does not distrust technology — it distrusts the data it receives. DATUM solves that from the foundation.

67%of executives distrust the data they receive to make decisions

3 wksaverage time to get a reliable report in organisations without data governance

40%of analytics time spent cleaning and reconciling data, not analysing it

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Financial leader · YOU ARE HERE
Chief Financial Officer
What am I signing, with what evidence, and in what timeframe does each euro invested in data return?

This week, in your day-to-day

They ask you to sign investments without the figure you need to sign.

Data should be the foundation of any business case. But when data isn't a traceable asset, every investment gets signed on an act of faith a CFO shouldn't have to make.

You've been asked to sign off on a data project without a clear business case.

The return figures are estimates. And you've spent twenty years telling the difference between an estimate and a commitment.

The latest quarterly report came with three versions of the same number.

Each area defends its own with reasonable arguments. You sign one of them in the end, knowing the other two are still alive elsewhere in the company.

They want you to invest in AI before knowing the real cost of current data.

The CTO·CIO talks to you about models. The CDO talks to you about governance. You're waiting for someone to talk to you about the avoidable cost you already have.

Audit has asked you about the traceability of the KPIs you sign every month.

And the honest answer carries a "depends who you ask". For a CFO, that isn't an answer.

The diagnosis

Three problems that block business analytics.

KPIs calculated in multiple places with different logics

Sales calculates margin one way. Finance another. Operations has a third. Without a centralised KPI model with a single definition, every management meeting starts with 20 minutes debating whether data is correct instead of making decisions.

67% of executives distrust the data they receive to make strategic decisions. · Forrester — State of Data Quality 2023

Analytics that cannot be industrialised

Reports take weeks because each request requires ad hoc development. What should be a corporate capability is built as a specific project each time. Without governed data and reusable data products, analytics does not scale.

Organisations with low data governance maturity take an average of 3-6 weeks to generate a new reliable indicator. · McKinsey — The data-driven enterprise of 2025

Data investment without measurable return

Investment has been made in platforms, BI tools, quality projects. But the return is not visible to the CFO because data projects have no measurable deliverables per phase — they have deliverables at the end, when it is too late to correct course.

73% of data transformation initiatives do not achieve their business objectives within the expected timeframe. · McKinsey — The data-driven enterprise of 2025

How Datum solves it

Reliable, autonomous and scalable analytics for the business.

Datum builds the semantic and operational foundation that allows the business to consume data with confidence, without depending on IT for every query.

Single corporate semantics

One KPI defined once

Datum builds the centralised KPI model: each indicator has a single definition, documented calculation logic, a functional owner and traceable lineage to source data. When the CFO sees a number, they know where it comes from and who validates it.

Packaged data, not raw

Data products for business

Business does not access raw data — it accesses governed data products: certified datasets with verified quality, defined semantics and full traceability. What used to take weeks is now available continuously and autonomously.

Investment with per-phase deliverables

Measurable TCO from the first domain

Each adoption phase has measurable deliverables — not at the end of the project. ROI is visible within weeks: reduction in development time, elimination of manual reconciliations, analytics that business can operate without depending on IT.

AI on governed data, not noise

AI foundation with reliable data

80% of time in AI projects is spent on data preparation. With Datum, that foundation is already governed, of verifiable quality and with full lineage. AI projects on Datum start with data that already works.

How we walk this with you

Data stops being a promise. It becomes a number.

Anteodata doesn't ask the CFO to understand 'data governance'. We deliver what you actually need: ROI per domain, auditable evidence and a traceable asset you can defend before the board.

WE START

We start with an economic assessment, not a technical one

The first thing is not to discuss technology. It's to estimate current data TCO (what it costs today in hours, errors, rework) and project future TCO with DATUM. We leave the first session with indicative figures, not promises.

WE ACTIVATE

We activate by domain with measurable ROI for each one

We don't ask you to sign off an entire project. We activate by domain: each domain (8-12 weeks) brings its own business case with verifiable KPIs at the end. If one isn't met, we pause and review. The investment validates as it goes.

WE LEAVE

We leave with data as an asset on your balance

When governed data is monetized —internally via efficiency, externally via Data Space Gateway— it stops being operational expense and enters as an asset. That's when the CFO signs without asking: because the data already returns.

What you have at each phase

From data that doesn't add up to decisions made with confidence.

Each phase delivers real and measurable analytical capability.

Diagnosis of why numbers don't add up

Critical analytical domains for the business identified

First semantic definitions agreed

Prioritised reliability plan

Do you recognise this situation?

Tell us what decisions you cannot make today due to lack of reliable data.

Within 48h we'll tell you if we can help and which phase would have the most impact.

Real results · anonymised benchmarks

What Datum delivers for this profile.

estimated TCO vs classical data governance model

−45/55%

3-year ROI with measurable deliverables per phase

188%

for certified KPIs available to the business

~1 month

For the first time I could sign data investment knowing what would return and when. ROI per domain changed the conversation with the board.

CFO, insurance · Iberia

Why Anteodata

We are not a BI consultancy. We are the team that governs the data feeding your analytics.

Data before dashboard

We don't start with reports. We start with data: semantics, quality, lineage and ownership. When the data is reliable, dashboards are a consequence — not a project in themselves.

Business autonomy as the goal

We don't build dependency. Our goal is for the business to consume data without needing IT for every request. Analytical autonomy is the result, not the starting point.

Retainer aligned to results

We don't bill for consulting hours. We bill while the data operates and the business consumes it. Our incentives are aligned with the analytics working, not with the project lasting longer.

Your team isn't deciding alone

DATUM doesn't put you above. It puts you beside.

The CFO funds what they understand. To understand data as an asset, they need two allies: someone who orders it operationally, and someone who places it on the strategic table. DATUM builds that ecosystem. These are the two people who deliver it ready.

Anteodata services

To validate before investing

Do you recognise this situation?

Tell us what decisions you cannot make today due to lack of reliable data.

Within 48h we'll tell you if we can help and which phase would have the most impact.