Data always arrives correct. No exceptions.
DATUM is not a cataloguing tool. It is the operational model that decides which data is reliable, who owns it, how it is transformed and to whom it is published — before moving a single record.
- Active catalogue that governs behaviour, not one that documents
- Operating model, not yet another data warehouse
- Permanent capability, not a project that is delivered and abandoned
- Governance platform before BI layer
Three ways to define DATUM, all correct.
Three angles of the same thing: an operating model, a metadata-first system and a cloud-agnostic platform.
Roles, custodianships and processes before tools. Decides which data is reliable, who owns it and to whom it is published.
Metadata doesn't document afterwards — it governs behaviour. Without defined metadata, no pipeline starts.
On Databricks, Delta Lake, Confluent and Snowflake. Runs on Azure, AWS or GCP — the platform belongs to the client.
«Data is a corporate asset, not owned by any one area.»
DAMA principle · The foundation of everything we build.
Before moving a single piece of data, we know who owns it.
Metadata First means the metadata governs the behaviour of the entire platform — before a single piece of data is moved. Each pipeline starts with defined metadata and verifies quality, ownership and traceability as a precondition of execution.
Owner, criticality, purpose, glossary and confidentiality.
Entities, business keys, relationships and quality rules.
Sources, lineage, idempotency, security and execution parameters.
Three custodians. No overlaps.
In most organizations IT ends up sustaining functional decisions that belong to the business. DATUM redistributes that load by separating three non-negotiable layers of responsibility — and gives IT back the technical custodianship role that belongs to it.
CDO · Data Owners · Data Stewards. They decide the meaning, validate quality and manage the corporate backlog.
Databricks, Delta, pipelines and metadata. They materialise the technical model. They do not decide functional data ownership.
Connectivity, secrets, credentials, network and certificates. The DataOps circuit consumes pre-enabled connections — never manages them.
Each custodian decides their own. And only their own.
Datum versus the classical data governance model.
Anonymised data from real deployments in banking, healthcare, retail and insurance. No estimated projections.
Connect with the next layer
Three paths to go deeper: how DATUM works inside, how it is contracted, and which profile you are within this framework.
A specific profile, a real question.
Hay inversión en datos, hay equipos, hay herramientas. Pero las decisiones de negocio siguen tomándose con instinto y Excels paralelos. El dato corporativo no llega arriba como activo, llega como informe.
Reposicionamiento del dato como activo corporativo: gobierno centralizado, dominios funcionales con autonomía y publicación de KPIs corporativos auditables al Comité Ejecutivo.
Does your data work for you or do you work for your data?
A 30-minute conversation with the founding team. No pre-sales. No deck. Just real diagnosis.