Data Governance & Management

Establishing the disciplines and processes required to turn raw data into an organizational asset.

Data governance and management framework A pinwheel of nine disciplines: Data Contracts, Data Compliance & Security, Data Catalog, Master Data Management (MDM), Data Quality, Data Integration, Data Lineage, Data Observability, Data Accessibility. Each petal links to its description below. 1 2 3 4 5 6 7 8 9 DGM

Nine disciplines, one framework. Each matters on its own, but the real value shows up when they work together.

This is the same framework behind dgm.atul4data.com. Go see it in action.

  • Foundations: Set the ground rules and get the data moving.
  • Trust: Make the data dependable, and be able to prove it.
  • Understand & Protect: Know what you have, and keep it safe.
  • Use: Get governed data into the hands of the people who need it.

Foundations

Set the ground rules and get the data moving.

Data Contracts

Clear, agreed expectations between the teams that produce data and the teams that depend on it, so change never arrives as a surprise.

Data Integration

Reliable pipelines that bring data together across systems, on premises and in the cloud, without brittle one-offs.

Trust

Make the data dependable, and be able to prove it.

Data Quality

Trust the numbers before they reach a decision, with rules, monitoring and remediation close to the source.

Master Data Management (MDM)

One trusted version of the core entities the business runs on, so every application agrees on who and what they are.

Data Lineage

Visibility into where data comes from and how it flows, for impact analysis, audit and confidence.

Data Observability

Knowing when data breaks, drifts or arrives late, before the people who rely on it find out.

Understand & Protect

Know what you have, and keep it safe.

Data Catalog

A shared, searchable inventory of what data exists, what it means and who owns it.

Data Compliance & Security

Protecting data and meeting privacy and regulatory obligations while still enabling the business to put it to work.

Use

Get governed data into the hands of the people who need it.

Data Accessibility

Getting the right data to the right people: self-service where it is safe, governed where it is not.

Across all nine, the data lifecycle. From ingestion to archival, managing retention and defensible deletion reduces enterprise risk.

Governing AI is its own layer. Ownership, ethics, model governance and regulatory risk all build on these nine. Check out AI / ML.