Data governance
The framework of policies, roles, ownership, and controls that defines how an organization's data is managed, protected, and used.
In more detail
Data governance is the framework that decides how data is handled across an organization: who owns which data, what quality standards apply, who may access what, how it is protected, and how it may be used. It is the set of rules and accountabilities that turn data from an unmanaged sprawl into a governed asset.
Governance is often underinvested until something goes wrong, a breach, a compliance finding, a decision made on bad data, because its value is preventive and easy to defer. Effective governance is practical rather than bureaucratic: clear ownership, enforced access controls, quality standards, and a record of how data is used.
Where this shows up at Ceven
Ceven supports data governance in practice through its controls: scoped, least-privilege access per workflow step, human-approval gates on consequential actions, and a full audit trail of every action taken on data. Because it orchestrates around the customer's own systems rather than becoming a new data store, it works within existing governance rather than around it.