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Data Governance Framework

Establish how data is owned, managed, quality-assured, and protected across the organization and its AI systems.

O-G-ARC-DGF

Data Governance Framework

Establish how data is owned, managed, quality-assured, and protected across the organization and its AI systems.

O-G-ARC-DGF

Introduction

AI runs on data. This framework ensures data is trustworthy, accessible to those who need it, and protected from misuse. Without data governance, AI outputs cannot be trusted.

Phase

Guide

Lens

Architecture

Purpose

Define data ownership, quality, and protection

Output

Data Governance Framework

Who’s Involved

Data stewards, architects, compliance, security

Duration

4-8 hours

Steps

  1. Define data domains and assign ownership

  2. Establish data quality standards and measurement

  3. Specify access controls and security requirements

  4. Create data lifecycle policies (retention, archival, deletion)

  5. Define compliance and regulatory requirements

  6. Design monitoring and remediation processes

Template

Get the collaborative templates we use with clients

Skip the blank page. Every Orbit Method tool has a working canvas behind it: structured, labelled and ready to fill in with your own organisation. We’re preparing a sample set as FigJam files. Subscribe and we’ll send it as soon as it’s ready.

We’ll email you when the sample lands, plus template updates and new episodes. Unsubscribe anytime.

Get the collaborative templates we use with clients

Skip the blank page. Every Orbit Method tool has a working canvas behind it: structured, labelled and ready to fill in with your own organisation. We’re preparing a sample set as FigJam files. Subscribe and we’ll send it as soon as it’s ready.

We’ll email you when the sample lands, plus template updates and new episodes. Unsubscribe anytime.

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©2026 Orbit Method™

By Shaped + SIS Decisions + Milpress

©2026 Orbit Method™

By Shaped + SIS Decisions + Milpress

©2026 Orbit Method™

By Shaped + SIS Decisions + Milpress