Data governance you can actually run.

Data governance consulting is advisory and delivery work that establishes who owns each dataset, how data quality is measured, how data is classified and secured, and how any number can be traced back to its source. An engagement usually starts with an assessment of your current state, designs a governance framework fitted to the obligations you already carry, then operationalises it so the rules run in your day-to-day tools rather than sitting in a document. RUBIX delivers data governance consulting for Australian organisations in fixed-scope stages, pairing the framework with a RUBIX-built platform for lineage, classification, data quality monitoring and cataloguing.

A data governance consultant helps you decide who owns each dataset, how data quality is measured and maintained, where data is catalogued, and which policies control its use. RUBIX assesses your current state, designs a practical framework, and operationalises it - with a platform for lineage, classification, quality and cataloguing - so ownership, quality and access controls actually work day to day rather than sitting in a document.

Yes. RUBIX is headquartered in Melbourne at 330 Collins Street and delivers data governance consulting for Victorian enterprise and public-sector organisations, as well as clients Australia-wide. For Victorian public-sector work that means aligning ownership, classification and access controls to the obligations you already carry - the Privacy and Data Protection Act 2014 (Vic), the Victorian Protective Data Security Standards overseen by the Office of the Victorian Information Commissioner, and data-sharing arrangements under the Victorian Data Sharing Act 2017. Consultants are local, so workshops and data-owner sessions happen in the room rather than over video. See AI consulting in Melbourne for our full Victorian practice.

Data management is the operational work of storing, moving and processing data. Data governance is the accountability layer above it: who owns data, what quality standards apply, how it is classified and secured, and how decisions about it are made. Governance sets the rules; management carries them out.

The platform puts governance to work in software. It maps end-to-end, column-level data lineage so you can trace any number to its source; automatically classifies and protects sensitive data such as PII; continuously monitors data quality for freshness, completeness, duplicates and anomalies; and provides a searchable catalogue and business glossary with owners and certification. It turns a governance framework into something your whole business can see and use.

An initial assessment and framework design typically takes four to eight weeks. Standing up the platform and operationalising ownership, quality checks and a catalogue for priority domains usually runs across a further three to six months. RUBIX works in fixed-scope stages so you see value early rather than waiting for a multi-year programme.

AI is only as trustworthy as the data behind it. Governed data means models are trained and prompted on accurate, well-defined, permissioned data with clear lineage - which reduces hallucination, bias and compliance risk. Good data governance is the foundation for responsible AI, and pairs directly with AI governance controls.

Cost depends on scope - the number of data domains, systems and stakeholders involved, and whether you deploy the platform. RUBIX works to fixed-scope stages so pricing is clear before work starts. A focused assessment is a modest, defined investment; broader operationalisation is scoped to your priority domains. Contact us for an estimate based on your environment.