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Concept

The Component Data Model: six domains that keep a data strategy focused

A data strategy that tries to cover everything at once usually covers nothing well. The Component Data Model is how we keep a data organisation's scope honest, one domain at a time.

The Component Data Model: six domains, People and Culture, Data Governance, Security and Compliance, Data Management, Data Consumption and Data Resources, under one shared purpose of value realisation from data.

How it’s structured

Six domains sit beneath a single shared purpose: value realisation from data. People & Culture and Data Governance cover the organisational foundation: skills, roles, funding, vision. Security & Compliance covers controls, access management and audit. Data Management and Data Consumption cover the practical lifecycle, from onboarding and engineering through to use-case design and value realisation. Data Resources covers the underlying sources, tools and architecture everything else depends on. Each domain breaks down further into named components, so a gap in, say, data quality improvement or master data management has a specific, addressable home rather than getting lost inside a vague “data management” catch-all.

Where we use it

We use the Component Data Model to structure a data organisation assessment: walking a client through all six domains in turn surfaces exactly where the real gaps are, rather than the ones that happen to be loudest in the room. It also gives a roadmap a shared vocabulary once priorities are set, so “we’re investing in Data Governance this quarter” means the same specific thing to everyone involved.

Let's generate value together

Our focus is to build responsible AI implementations, well embedded in your organisation's strategy, with the aim to construct scalable structures for growth.

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