Data governance
We set ownership, quality, lineage and controls for the data an organisation reports on.
A report is only as defensible as the data behind it. We trace each figure to its source, assign an owner and set the rules that keep it correct.
What this covers
- Data inventory and classification
- Ownership and stewardship roles
- Source-to-target mapping and lineage
- Reporting traceability for regulators and auditors
- Data quality rules and monitoring
- Report and control remediation
Typical engagements
- Lineage for a regulatory report
- Data ownership model and stewardship roles
- Remediation of reports that disagree
- Data inventory before a platform change
How an engagement runs
Enquiry
You describe what has to change. We reply in writing with questions.
Scoping
One conversation to agree the problem, the people affected and how the result will be accepted.
Proposal
A written scope, acceptance criteria, a price and a start date.
Delivery
We lead the work. Decisions, risks and changes are recorded as they happen.
Acceptance
The result is checked against the criteria agreed at the start.
Handover
Documents, access and records pass to your organisation.
Close
A short written close-out, and a support retainer if you want one.
Who this suits
Organisations that report to APRA, ASIC, AUSTRAC or another regulator and must show where each number came from.
Finance and operations teams whose reports disagree and who need one agreed source.
Typical platforms: SQL databases, Power BI, Microsoft Fabric and SharePoint.