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Automated Analytics governance for a travel platform
Client: an international online travel group with digital properties across multiple markets
- Universal Analytics
- Analytics Management API
- Python
The problem
Manual administration of numerous Universal Analytics properties and views made consistent configuration difficult. Access, filters, dimensions, metrics, and goals required repeatable, controlled processes.
What I did
- I collaborated on a tool built on the Analytics Management API to inspect and modify Universal Analytics configurations.
- I worked on processes for managing access, filters, custom dimensions and metrics, goals, and view configuration.
- I prepared read, compare, insert, and update operations so changes could be applied consistently.
- I accounted for API quotas, error handling, and credential rotation within the technical design available at the time.
Result
- The client used the tool to inspect and update access, filters, dimensions, metrics, goals, and views through shared processes.
- Recurring operations were expressed as reusable processes instead of isolated manual changes.
How I approach this problem
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