Expertise 03

Data Governance

Agree who owns your data, what it means, and how much you can trust it.

Frameworks covered
2, each labelled by status
Related solutions
2 fixed-scope engagements
Last verified
October 2026

Overview

Data governance is the set of decisions about data: who owns it, what it means, who may use it and how its quality is managed.

Lexora helps organisations make those decisions once and write them down in a form people follow. We focus on the data that matters most, rather than trying to govern everything at the same depth.

Good data governance also underpins privacy compliance and responsible AI. Classification drives security; ownership drives quality; quality drives whether automated decisions can be trusted.

The frameworks behind it

Each is labelled by status, so enacted law is never confused with proposals or voluntary standards. Verified October 2026.

  • Australian Privacy Principles (APP 10 and APP 11)

    Status: Law in force

    Quality and security obligations for personal information, which good data governance helps you meet.

  • Guidance for AI Adoption (National AI Centre)

    Status: Regulator guidance

    Voluntary government guidance, published October 2025. Its practices assume organisations understand and manage the data their AI systems use.

Every reliable number has an owner.

Questions we help answer

  1. Who is accountable for our most important data sets?
  2. Do teams use the same definitions for the same numbers?
  3. How is data classified, and do access rules follow the classification?
  4. Is our data fit to support the AI uses we are planning?

Start with a conversation.

A free 20-minute call to understand your situation and recommend the right first step. Scope and a fixed fee are confirmed in writing before any work starts.