A structured diagnosis of the real state of data — architecture, governance, quality, DataOps and exploitation — that produces a target architecture, comparative scenarios and a prioritized roadmap. The executive piece that opens any serious data transformation, contractable as a stand-alone service or as a formal entry to DATUM.
The signal does not come from the technical backlog. It comes from investments debated without common criteria, from projects that don't move forward, and from decisions postponed for lack of structured information.
Projects have been done, tools bought and teams created. But a structured view that says what works, what needs adjustment and why is missing. The Assessment builds that reading.
Discussions go on about tools, platforms or projects without a clear criterion of what's missing, what's redundant and what depends on what. Each meeting changes the priority.
Business blames technology. Technology blames data quality. Operations points at processes. No one has the same picture of the real state.
Governance projects, analytics platforms, quality initiatives that didn't deliver impact because there wasn't a clear base to build on.
Without a verified AS IS there is no defensible TO BE.
The Assessment is the formal entry phase to a serious data transformation. It captures the real state of the ecosystem through interviews, document review, technical inventory and structured diagnosis. It does not produce a report, it produces an executive decision base: what's there, what's missing, what's redundant and in what order to act.
Anteodata frames it as a service that can be contracted standalone — to clarify the state and define the roadmap — or as a formal entry point to DATUM, in which case part of the amount is credited if the client signs the product. Same methodology, same depth, two commercial doors depending on the maturity of the conversation.
The initial picture is built with technical evidence and structured interviews. The AS IS narrated by a single area is not accepted. If something cannot be verified, it is documented as a hypothesis.
The target architecture is designed to be executable with the client's resources. If it cannot be implemented with the real teams and budget, it is not a useful TO BE.
Where there is a relevant architectural decision, alternative scenarios are presented with objective criteria. The final recommendation is the client's, not the consultant's.
Value, risk, cost, dependency and adoption capacity. The five criteria are documented, applied and respected in each backlog decision.
The roadmap identifies concrete actions that start before the next committee meeting. Transformation is won, not announced.
The Assessment is not limited to one layer. It covers the complete data ecosystem and connects findings between dimensions, because real problems rarely live in just one.
Existing platforms, integrations, data model, automation, technical scalability, costs, debt and obsolescence.
Roles, ownership, decision processes, committees, organizational maturity to govern data and real adoption level.
Quality rules, pipelines, versioning, monitoring, automation level, observability and change management.
How value is published to the business, what tools are used, what KPIs are generated and how governed the consumption is.
Functional/platform/infrastructure separation, access controls, traceability and usage principles.
A short, intensive and verifiable methodology. It combines field work (interviews, inventories, technical review) with executive validation sessions. The result is always a decision base, never an orphan document.
Structured diagnosis of the real state: architecture, platform, governance, organization, quality, DataOps and exploitation. Picture verified with evidence, interviews and document review.
Definition of the target model — capabilities, technical structure, governance model and architecture principles — aligned with the real business strategy and adoptable with the client's resources.
Where the architectural decision is relevant, 2 or 3 alternative scenarios are built, evaluated by value, risk, cost, dependency and adoption capacity.
Wave plan with quick wins, maturation phases, investment criteria and recommended next step. Something concrete that starts the following week.
It delivers the first decision the organization can defend.
Real state with technical evidence and cross-validation by area. The honest base on which everything else is built.
Capabilities, technical structure, governance model and principles. The vision defensible before business, leadership and committee.
The 2-3 relevant alternatives with objective criteria. The client's final decision is argued and traceable.
Wave roadmap with quick wins, dependencies, milestones and real sizing. What starts the first month and what comes next.
The synthesis for leadership. The transformation fits in fifteen minutes of committee or it will never be approved.
DATUM, Data Architecture, Data Governance, Platform or specific programme. The Assessment opens the next conversation, it does not close it.
Business, technology, governance and leadership share a single picture of the data state. Meetings stop starting with arguments over what the problem is.
Every euro spent on transformation has explicit value, risk and dependency arguments. The portfolio stops being a list of projects.
Identified quick wins with prioritized sequence and real sizing. Transformation starts with something concrete, not with announcements.
Alternative scenarios make the architectural decision be taken with complete information, not with the best available projection.
DATUM, data architecture, platform or governance. What follows starts here, with AS IS and TO BE already validated.
| Indicative duration | 8 weeks, depending on the size of the organization, the number of platforms analyzed and the depth of the scenarios. |
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| Modality | Closed consulting service with executive sessions, field work, document review and structured deliverables. |
| Payment terms | 50% at start and 50% at final delivery of the executive report and the closing session. |
| Natural continuity | DATUM implementation with partial credit of the amount, Data Architecture, Data Governance, transformation programme or monthly advisory. |
Architecture, governance, quality, DataOps, security and exploitation thought of as one piece. We do not produce partial diagnoses that ignore how problems connect.
We combine interviews, technical evidence and real inventory. If something cannot be verified, it is documented as a hypothesis. Without an honest picture there is no defensible decision.
Where the architectural decision matters, alternatives are delivered evaluated by five explicit criteria. The final recommendation is always the client's, not the consultant's.
The TO BE is designed to be implementable with the client's resources. If it cannot be executed, it is not useful architecture.
The Assessment investment is partially credited if the client decides to implement DATUM. The diagnosis is not a sunk cost if it opens the next phase.
Scattered initiatives, blurry AS IS, investment decisions without common base and without shared criteria between technical and business areas.
Assessment and data platform transformation
No client names — results that speak for themselves.
Design of the global data ecosystem architecture, legacy platform integration and analytical modernisation for a financial institution operating across multiple countries.
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.
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.
Representative · pending authorised publication
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Start with a 30-minute conversation to understand the real scope of an assessment tailored to your context. If the conversation ends in DATUM, part of the amount is credited.