Managed Data Quality Service
Your governance runs continuously after we build it. No full-time CDO required.
Most governance projects fail not because the framework was wrong but because nobody maintained it. Policies drift. Quality issues go undetected until they surface at exactly the wrong moment. Data ownership gets reassigned and nobody updates the documentation.
The Managed Data Quality Service keeps your governance running automatically after a project engagement. Powered by the GovernanceEngine and a monthly advisory touchpoint, it gives you ongoing compliance monitoring without the cost of a full-time data hire.
What Is Included
Automated data quality monitoring via GovernanceEngine: rules run continuously against your data, flagging deviations before they become incidents
Lineage tracking and documentation kept current as your systems change
Monthly advisory session: review of quality findings, compliance posture, and any regulatory developments relevant to your sector
Quarterly written compliance posture report suitable for board or regulator review
Direct access to Alexandra for urgent questions between sessions
Alert configuration and escalation path setup for your internal team
How It Works
We can work as:
The managed service follows a project engagement. We build your governance framework, implement the GovernanceEngine rules, and set up automated monitoring. Once the system is live, the retainer keeps it running.
Monthly commitment. No minimum term beyond the first three months. Typically 2 to 3 touchpoints per month.
Why This Works
Most data quality problems are not dramatic. They are slow and quiet: a field definition that drifted six months ago, a pipeline that started producing nulls nobody noticed, a regulatory requirement that changed and the documentation never caught up. By the time these surface in an audit or a board report, the damage is done.
Automated monitoring catches them when they are still small. The monthly review ensures nothing accumulates. You stay audit-ready without dedicating internal headcount to it.
Why Clarity Layer?
The GovernanceEngine translates your governance policies into database-level restrictions and automated quality rules. It is not a dashboard you check manually. It runs, flags, and reports. Alexandra reviews findings and advises on anything that requires a human decision.
You get the outcomes of a senior data function at a fraction of the cost and none of the management overhead.
