{"id":1368,"slug":"dashboard-rot-schema-drift-maintenance","title":"Dashboard rot: data sources change schemas, metric definitions drift across departments, organizational attention wanes; custom/embedded builds carry the heaviest ~20-30%/yr maintenance burden","kind":"reference","scope":"business","status":"current","audiences":["kevin","smb-owner","candid-team"],"topics":["data-pipeline-maintenance","dashboards","embedded-analytics"],"reference_body":"**Claim:** Dashboards are **not build-once assets**. Data sources change schemas; metric definitions drift across departments; organizational attention wanes — dashboards spun up for one initiative quietly go unused (the \"**org attention grave markers**\" framing). Custom-and-embedded builds carry the heaviest burden: every schema change propagates into the analytics tenancy layer; vendors estimate **~20-30% of original build effort recurs annually as maintenance**.\n\n**Source:** Vendor synthesis; consistent with [[fivetran-2026-benchmark-53pct-maintenance]] (data-pipeline maintenance) and [[schema-drift-31pct-maintenance-fivetran-2026]] (schema drift).\n\n**Confidence:** Industry-consensus.\n\n**Why this matters for Candid:** Same maintenance-discipline argument as the data-tools brief's [[rule-budget-for-pipeline-maintenance-from-day-one]]. Dashboards age out — quarterly audit + archive-30-day-stale discipline is essential.","rationale_body":null,"metadata":null,"links":{"outgoing":[{"slug":"fivetran-2026-benchmark-53pct-maintenance","title":"Fivetran 2026 Enterprise Data Infrastructure Benchmark — data teams spend 53% of engineering time on maintenance; $2.2M/yr/team on pipeline upkeep at enterprise scale","kind":"reference","scope":"business","link_type":"relates-to"},{"slug":"schema-drift-31pct-maintenance-fivetran-2026","title":"Schema drift is the single largest data-pipeline maintenance category — ~31% of maintenance time per Fivetran 2026 benchmark","kind":"reference","scope":"business","link_type":"relates-to"},{"slug":"used-vs-vanity-dashboard-criteria","title":"Five criteria separating a used dashboard from a vanity one: built for daily user / every metric tied to decision+threshold / embedded in existing workflow / trusted / few metrics (~5-7 per view)","kind":"reference","scope":"business","link_type":"relates-to"}],"incoming":[{"slug":"research-brief-dashboards-smb-june-2026","title":"Research brief: dashboards for SMBs — what's worth showing, and when an embedded one earns its keep (June 2026)","kind":"reference","scope":"business","link_type":"relates-to"},{"slug":"rule-budget-20-30pct-annual-maintenance-from-day-one","title":"R4 — Budget 20-30% of build effort annually for maintenance from day one; assign a metric-definitions owner; audit quarterly and archive any dashboard unopened in 30+ days","kind":"rule","scope":"business","link_type":"depends-on"}]},"created_at":"2026-06-20T18:03:12.187Z","updated_at":"2026-06-20T18:03:12.187Z"}