01
Diagnosis before solution
We never propose without understanding. The first deliverable is an honest reading of the real starting point — not the one the client thinks they have.
How we work · Anteodata
We work with a structured and grounded approach. No abstract frameworks that nobody applies.
We combine strategic vision and operational execution to build a governed, implementable and useful data model. Each phase has concrete deliverables and a clear purpose.
El método en cifras
- 4 fases estructuradas
- 1–2 semanas de diagnóstico
- 0 marcos abstractos
- Acompañamiento sostenido
Working principles
Four convictions that guide every project.
Not decorative values — operational constraints that shape how we design, execute and accompany.
02
Executable model, not presentable
The design must be implementable. If it cannot be broken down into decisions, responsibilities and real operations, it is not a model.
03
Progressive and non-invasive
We build value in phases. Each quick win reinforces the credibility of the data and the people managing it.
04
Sustained accompaniment
Data evolves. Organisations change. Our model includes continuous accompaniment so that maturity does not degrade over time.
The method
Four phases. None skipped.
Each phase has concrete deliverables and clear advancement criteria. We do not move to the next without completing the previous one.
01
Weeks 1–2
Understand the real context
We start from business, organisation, platform and real problems — not perceived symptoms. Without a real diagnosis there is no useful design.
02
Weeks 3–6
Define the target model
We design governance, architecture, capabilities and priorities with implementation criteria. The model must be executable, not just presentable.
03
Months 2–6
Ground the execution
We translate the model into quick wins, prioritised backlog, operational circuits and clear responsibilities. Change happens in daily operations.
04
Ongoing
Accompany the evolution
We sustain maturity with executive and operational accompaniment adapted to the client's context — so the model does not degrade over time.
Deliverables by phase
Each phase ends with something concrete.
01 · Diagnosis
- Current capability map
- Real pain inventory
- Critical gap prioritisation
- Entry point recommendation
02 · Design
- Functional governance model
- Documented target architecture
- Phased roadmap with criteria
- First sprint backlog
03 · Execution
- Active operational quick wins
- Certified entities and KPIs
- DataOps circuits in production
- Real ownership assigned and active
04 · Evolution
- Periodic maturity review
- Adaptation to organisational changes
- Extension to new domains
- Continuous executive support
Sectors of application
The same method, adapted to each sector's regulatory context.
Banking and finance
BIAN architectures, IFRS9/Solvency II regulatory reporting, data governance with full traceability for audit.
+1,500% analytical performance
Healthcare & oncology
Integration under SNOMED and FHIR standards, real-time architectures, non-invasive clinical data governance.
−70% clinical integration time
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