Our data governance solutions end as something running in a system you own. The starting question is never what your governance posture is, it is which two numbers disagree and by how much.
Everything below is delivered as a working control rather than a policy library.
Data Governance Solutions as Working Controls
Reconciliation first. Take the two figures that conflict and trace both to source, row by row where necessary. The deliverable splits the gap into timing differences, definitional differences and genuine errors, which demand different fixes.
Definitions with a name attached. Sales counts a deal at close, finance at invoice, operations at delivery. All defensible, and a definition without an owner is a suggestion.
Rules that execute. A rule in a document is a wish. The same rule as a test running on every load, failing the pipeline when it breaks, is a control: uniqueness, referential integrity, range checks, and the business rules only your people know.
Lineage that is real. Which report depends on which table, generated from the code where possible, so changing a column stops being an act of faith.
What This Turns Up Nearly Every Time
Duplicate customer records first. The same company in the CRM three times under three spellings, each holding part of the history.
Then dates stored as strings. Then a field that changed meaning when somebody repurposed it rather than adding a column, so anything spanning that date is quietly wrong and nothing flags it.
None of it is exotic, and all of it is cheaper to find before a migration than after one.
Sized to What You Actually Run
Enterprise data management solutions on a dedicated platform suit organizations with a standing data team and a multi-year mandate.
Where your estate is a CRM, a finance system and a warehouse, database management solutions built on tests in your own repository will hold the line for a fraction of the cost. We size that honestly, because we resell no platform and hold no partner tier.
Our data management consulting work covers both shapes, and the assessment says which one your volume justifies. Data governance solutions sized to the estate you actually run are the ones still operating in year three.
How Engagements Run
Paid assessment first, typically two to three days, because this work is quoted responsibly only after somebody has opened the systems. You get the reconciliation, the defect list, and a price against each fix.
Then fixed price per deliverable. The definitions document, the tests and the lineage live in your repository from day one, and the engineer who ran the assessment writes them.
Among data governance consulting services, that continuity is what keeps the controls matching the systems they guard. Tell us which two numbers disagree and we will tell you what it takes to settle it.
Related Services
Where data arrives late or malformed in the first place, that is data engineering.
Where corrected figures need to reach people, that is dashboards or Power BI for Microsoft estates. Where the question is what happens next rather than what is true now, that is predictive analytics.