Data governance covers the decisions behind trustworthy numbers: which system is the official source for each figure, how each metric is defined, who may see which rows and columns, who may change a dashboard, and how the company knows when something changed. In a BI tool it shows up as certified tables, shared metric definitions, column descriptions, permissions and a history of changes.
It matters because ungoverned data fails quietly. Two managers bring two revenue figures to the same meeting; a contractor can download salary data because a report was shared too widely; a key formula changes and nobody knows when. Each of those costs trust, and once people stop trusting the dashboards they go back to private spreadsheets.
Good governance does not have to be heavy. For most companies it is five habits: name an owner for each key metric, define it once, certify the tables that hold official figures, apply permissions to the data rather than to each report, and keep a record of who changed what. Rule of thumb: governance should make the right answer the easiest one to find, not add forms to fill in.
In Klayara, governance is built in: a semantic layer of shared metrics and synonyms, certified tables, row-level and column-level security that apply to dashboards, downloads, scheduled reports and Klayara AI answers alike, and version history on configuration. Admins choose which tables the AI may use, or switch it off. See security.