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.
Result
No duplicate dashboards, clear ownership, documentation is maintained, unused dashboards archived, new dashboards reviewed.
Maintenance best practices
Audit data monthly
Pull dashboard metric, compare to source system. Fix discrepancies immediately.
Update documentation quarterly
When dashboard changes, update documentation. When metrics definition changes, update metric dictionary.
Review access quarterly
Who still needs access to what. Revoke access for people who left. Grant access for new team members.
Validate calculations annually
Some metrics are calculated (not just reported). Example: customer lifetime value is calculated. Validate calculation is correct.
Frequently asked questions
How do we enforce naming conventions?
Make it required at dashboard creation. Dashboard tool forces naming convention. User cannot create dashboard without following naming rule. Example: team-function-timeframe or executive-metric-cadence. Tool rejects names that do not follow pattern. Enforce at tool level, not through process. With WEMASY's website builder, you can set this up directly on your website.
What do we do when dashboard owner leaves company?
Assign new owner within two weeks. If no owner volunteers, archive dashboard. Do not let dashboards become orphaned (no owner). Orphaned dashboards degrade. Metrics become stale. Documentation becomes outdated. Every dashboard must have owner.
How do we prevent governance from becoming bureaucratic?
Keep rules simple. Three to five rules maximum. Too many rules are ignored. Example: naming convention, metric definitions, access control. Three rules are sufficient. Approval process should take one meeting. Not multiple rounds. Governance should enable, not block.
Should we have different governance for different dashboard types?
Yes. Executive dashboards have stricter governance (fewer owners, more review). Operational dashboards have lighter governance (faster approval, more owners). Detail dashboards can be self-service (less governance). Light governance for low-stakes dashboards, strict governance for high-stakes dashboards.
How do we handle metric definition conflicts when same metric means different things to different teams?
Rename metrics. Sales defines customer as anyone who signed contract. Support defines customer as anyone who opened support ticket. Conflict. Rename: contract-customer and support-customer. Different names, no conflict. Document both in metric dictionary.
How often should we review governance rules?
Annually. Business changes, dashboard needs change. Annual review: are current rules still working. Are there new problems. Update rules if needed. Do not change rules quarterly (constantly changing rules are ignored). Stability is better than perfection.