Service
Data Governance + Reporting
We create a system that stays clean, with reporting leadership can rely on.
What it is
We establish the data standards, structure, and governance that keep HubSpot trustworthy over time, plus the executive reporting that leadership can actually make decisions from.
What's included
- 01Naming standards and conventions
- 02Property and field definitions
- 03Permissioning structure
- 04QA rules and data hygiene
- 05Executive dashboards
- 06Data governance and modeling
- 07Data Agent setup
The AI-powered data quality engine
Keeping data clean is not a one-time project. It decays constantly, which is why manual cleanup is always a step behind. We build an AI-powered data quality engine that works continuously: automatically deduplicating, standardizing, and enriching your records as they come in and as they change. It fills in missing data from trusted sources and catches the inconsistencies that erode reporting before they spread. The result is data that stays accurate on its own, so the reporting leadership relies on is trustworthy every day, not just the week after a cleanup. This is the part an offshore admin or a one-time project cannot deliver, because the work never stops, and that is exactly what AI is built for.
Who it's for
Companies whose data quality has eroded to the point that nobody trusts the reporting, and leadership wants numbers they can stand behind.
Outcomes you can expect
Dashboards pull from clean, consistently structured data, so the numbers in the board deck match the numbers in the system.
Naming standards, field definitions, and QA rules keep the database from drifting back into chaos six months after cleanup.
Properties and definitions are documented and enforced, so every team is reporting off the same numbers and the same logic.
Executive dashboards surface the metrics that matter, so leadership stops debating the data and starts acting on it.
Permissioning is structured by role, so the right people can edit the right things, and the wrong changes stop happening.
A modeled, governed database means tools like HubSpot's Data Agent return useful answers instead of garbage in, garbage out.
How it works
- 01Discovery. We audit the current state of your data, reporting, and governance, and identify where trust has broken down.
- 02Design. We define naming standards, property definitions, permissioning, QA rules, and the executive reporting model.
- 03Build. We implement the standards in HubSpot, handling cleanup, structure, dashboards, and the Data Agent setup that ties it together.
- 04Enablement. We train the team on the standards and document the governance so the system stays clean over time.
Want reporting you can actually trust?
Let's talk about governance that keeps your data clean.