a634a362b7e62ba8bfc29fbf8d335f3829dd6d47

Solutions - Data Governance & Compliance

Trust your data. Meet your obligations. Know who owns what.

We help organisations build data governance programs that are practical to run, easy to sustain, and strong enough to satisfy regulators - without drowning your teams in process.

For most organisations, data governance becomes urgent when something breaks - a regulator asks a question you cannot answer, an audit surfaces inconsistent numbers, or a board report gets challenged. Underneath these moments is usually the same set of problems: data nobody clearly owns, quality that varies wildly between systems, and no shared understanding of what your data means or where it came from.

Data Governance and Compliance

We take an equal focus on frameworks and tooling - because one without the other rarely sticks. We assess your current governance maturity, design an operating model that fits your organisation's size and culture, establish ownership and stewardship structures, define quality standards, and implement the tooling to enforce and monitor them. We work with your people throughout so that governance is understood and owned internally.

 

  • Data governance maturity assessment

  • Governance operating model design

  • Data ownership and stewardship frameworks

  • Data Quality Framework - quality rules, monitoring and remediation

  • Business glossary and data catalogue implementation

  • Privacy and regulatory compliance - Australian Privacy Act, Consumer Data Right, Security of Critical Infrastructure Act 

  • Data lineage and auditability

  • AI governance and responsible data use policies

  • Microsoft Purview implementation

0f3aea9db5ea861f00543bbe1846b393d729249c

  • 3,000+

    Refining 3,000 metrics across dozens of departments down to a focussed set of KPIs

  • 6

    Defined a data ownership framework across 6 business units for a retail firm

  • 3

    Resolving 3 years of reporting conflicts

  • 100's

    Defined clear governance and KPIs for regulatory reporting for an energy distributor for 100's of source fields

Major Australian brand

A single source of truth with centralised reporting for a major Australian brand

One51 helped a major Australian brand eliminate 3,000 fragmented metrics, migrate to Snowflake and deliver centralised KPI reporting with a single source of truth.

Read Success Story
Major Australian brand

If you cannot trust your data, everything built on top of it is at risk.

Book a call

Frequently Asked Questions

Data Governance and Compliance

Can data governance help prepare us for AI?

Yes. AI readiness and data governance are closely linked. By establishing clear data ownership, quality standards, lineage and access controls before AI projects begin, you dramatically increase the probability of reliable, scalable outcomes.

What is a business glossary?

A business glossary is a shared reference of agreed definitions for key data terms and metrics. Without it, reporting inconsistencies are inevitable when different teams refer to the same concept differently.

How does One51 approach Australian Privacy Act compliance?

We design governance frameworks that embed Australian Privacy Principle compliance - including data minimisation, purpose limitation, access controls, retention policies and breach response procedures.

What is data lineage?

Data lineage is the ability to trace data from its source through every transformation to its final use. For regulatory compliance, audit readiness and AI governance, lineage is critical.

What is the difference between data governance and data management?

Data management refers to the technical processes for collecting, storing and processing data. Data governance refers to the policies, standards and accountability structures that guide how data management is performed.

How long does a data governance engagement take?

A maturity assessment takes 2 to 3 weeks. Designing and implementing a governance operating model takes 6 to 12 weeks. Ongoing monitoring can be provided as managed support.

What is data governance?

Data governance is the set of policies, processes, standards and accountabilities that determine how data is collected, stored, accessed, used and maintained. Good governance makes reporting reliable, AI projects viable, and regulatory compliance achievable.

What is data stewardship?

Data stewardship is the ongoing practice of managing and maintaining data quality, standards and definitions. One51 helps design stewardship operating models defining who is responsible for specific data domains and how stewardship is governed.

What tools does One51 use for data governance?

We work with Microsoft Purview for governance and lineage in Microsoft environments, our proprietary Data Quality Framework for automated monitoring, and Databricks Unity Catalog for centralised governance in Databricks environments. We also work with other data governance tools that our customers are using.

What is a data governance maturity assessment?

An assessment evaluating your current governance practices across data ownership, quality standards, data catalogue, lineage, access controls and compliance posture - producing a clear picture of where you stand and prioritised recommendations.