Keep your analytics and automation data trustworthy with naming conventions, monitoring and documentation.
Without clear conventions, dashboards become unreliable. A lightweight governance playbook keeps analytics and automation aligned.
Create a data dictionary covering events, fields, and transformations. Implement Git/version control for GTM, n8n workflows, dashboards. Set up monitoring/alerting for event drops or automation failures. Review permissions and access quarterly.
Hold monthly analytics ops meetings to review metrics, update the backlog, and ensure everyone trusts the data. If you need a template, download the data performance checklist .
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