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Bulk Universal Analytics changes for a travel group
Sector: Online travel
Context: an international online travel group with digital properties across multiple markets
- Universal Analytics
- Analytics Management API
- Python
The problem
Managing many Universal Analytics properties and views meant repeating manual changes. Access, filters, dimensions and goals could end up configured differently across markets.
What I did
- I contributed to a Python tool for inspecting and updating Universal Analytics through the Analytics Management API.
- I worked on bulk management of permissions, filters, custom dimensions and metrics, goals and views.
- I prepared operations to read the current configuration, compare it with the intended setup, then create or update the required items.
- I accounted for API quotas, error handling and credential rotation in the technical design.
Result
- The client used the tool to apply changes across properties and views without editing each one manually.
- The operations compared the current configuration with the intended changes before applying them.
How I approach this problem
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