Use case — Quality & Governance
Governance can't just be declared. It applies.
Governance charters describe an ideal that nothing in the technical chain makes mandatory. Governance becomes effective the day the rules run on the data process — at every load, without depending on everyone's goodwill.
The situation
A written policy controls nothing
The document exists, it's been validated, and no one can say whether it's being followed. The rules live in a repository separate from the processes; the processes, meanwhile, keep loading whatever they're given.
Three consequences come up systematically: anomalies are only discovered by the end user, no one can reconstruct the state of the data at a past date, and no one specifically owns responsibility for a domain.
What beVault provides
A rule that isn't executable remains just an intention.
Business rules are declared in the platform and become technical controls applied at every load: completeness, format, cross-source consistency, expected cardinalities. Their results are measured, kept, and comparable over time.
Records with discrepancies aren't silently discarded: they're flagged as exceptions and routed to the owner of the relevant domain, with the context needed to decide. Data Vault historization preserves the original state, and lineage allows tracing back from an output to the fields that fed it.
See data qualityThe approach
Make governance operational
- 01
Assign real owners
Each data domain has an identified owner, who is the recipient of the exceptions concerning it. Without a name, no rule gets handled.
- 02
Translate policies into controls
The charter's requirements become declared rules, enforced at every load rather than checked during an annual review.
- 03
Measure quality and exceptions
Control results by domain, exception volumes and processing time: governance is managed with metrics, like any other activity.
- 04
Preserve history and lineage
The successive states and the data's path remain available, making it possible to reconstruct a past situation and explain a published figure.
- 05
Make reliability visible
Evidence — rule history, load logs, lineage — is produced by the platform and available whenever a review requires it.
Frequently asked questions
The sensitive points
Do we need a data catalog in addition?
Not necessarily: beVault documents definitions, owners and lineage. If you already have an enterprise catalog, it can be fed from the API.
How do you handle a targeted deletion with a historized warehouse?
Sensitive data can be isolated in dedicated structures, making targeted deletion possible without breaking the consistency of the business history. The exact scope is defined with your teams.
Does the platform make my organization compliant?
No. It provides the controls, the audit trails and the history that a compliance approach can rely on. Regulatory assessment remains your organization's responsibility.
Where to start?
With one domain, a designated owner and a few rules that truly matter. Governance that delivers results on a limited scope then scales up far more easily.
Next step