Products Solutions Templates Pricing Resources

Dashboard governance and maintenance: managing dashboards at scale

Home / Everything About / Everything About Analytics / Dashboard governance and maintenance: managing dashboards at scale

One dashboard is easy to maintain. Fifty dashboards are hard. Hundred dashboards are chaos.

Dashboard governance is set of rules preventing chaos.

Without governance: dashboards are duplicated (same dashboard built twice with different names). Metrics are defined differently by different teams (one team's revenue differs from another's). Data accuracy degrades (nobody audits data). Dashboards are abandoned (no owner, becomes stale).

With governance: dashboards are unique. Metrics are consistent. Data is accurate. Dashboards are maintained.

Governance rules

Naming convention

All dashboards follow same naming pattern: team-function-timeframe. Example: sales-pipeline-daily. product-feature-adoption-weekly. Naming helps users find dashboards. Prevents duplicate dashboards (same dashboard built twice with different names).

Metric definitions

Every metric has definition. Conversion rate is defined as: completed transactions divided by sessions. Definition is documented. Used consistently across all dashboards. No ambiguity.

Access control

Who can view which dashboards. Sales can see sales dashboards. Support cannot see sales compensation. CEO can see all. Enforce access at dashboard level or data level.

Archival policy

Dashboards unused for six months are archived (moved to archive folder, hidden from view). Archived dashboards are not deleted (can be restored). Just hidden to reduce clutter.

Approval process

New dashboards require approval before creation. Dashboard request: I need dashboard showing email performance. Review: Does this exist already. Is it different from existing dashboard. If new, approve. Approval prevents duplicate work.

Documentation

Every dashboard has description: what it shows, who should use it, how often to check it, how to interpret it. Documentation is maintained. When dashboard changes, documentation updates.

Owner assignment

Every dashboard has owner. Owner is responsible for: maintaining accuracy, updating documentation, responding to issues, deciding whether to archive. Owner is typically person who uses dashboard most.

Real example: dashboard governance at company with fifty dashboards

Dashboard review board

Meets monthly: CEO, CFO, VP Sales, VP Marketing, VP Product.

New dashboard requests

Request one: Sales team requests sales-rep-activity-daily. Review asks: rep activity (calls, meetings, proposals) is this tracked. If yes, can you use existing CRM data without new dashboard. Sales says: we track in CRM, want dashboard view. Review asks: can you build dashboard using CRM data without creating duplicate. Sales says: yes. Approval: build dashboard using CRM as source. Naming: sales-activity-daily. Owner: sales manager. Documentation required before launch.

Request two: Product team requests user-journey-flow. Review asks: this is new metric type. How is journey calculated. Product explains: query sequence of events per user. Review asks: has journey calculation been validated. Product says: not yet. Review: require validation before dashboard launch. Milestone: validate methodology, then dashboard approved. Owner: product analytics lead.

Archive review

Dashboard one: marketing-utm-tracking-daily has not been viewed in six months. Review asks: owner (marketing manager) do you still use this. Owner says: no, we switched to simpler dashboard. Archive it. Owner responds: yes, archive.

Dashboard two: executive-forecast-quarterly has not been viewed in three months. Review asks: owner (CFO) do you still use this. Owner says: yes, checking monthly. Do not archive. Add to dashboard list.