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February
Released the following Analytics system tools in Opal to help you create explorations from Opal:
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oa_find_metrics– Searches and finds existing metrics from Optimizely Analytics. Uses fuzzy matching on metric names and semantic search on descriptions to find relevant metrics. -
oa_list_apps– Lists all available applications in Optimizely Analytics. -
oa_get_metric_data– Retrieves and executes a specific saved metric in Optimizely Analytics, returning its calculated table data. -
oa_find_datasets– Searches and lists available datasets in Optimizely Analytics. It uses fuzzy matching on dataset names and semantic search on descriptions to find relevant datasets.
January
- Series-level color labeling – Customize the color and label for individual data series in event segmentation charts to create more consistent and readable dashboards.
- Updated formula block editor - Streamline formula creation with a more reliable autocomplete and better search functionality in the formula editor, making it faster to build complex calculated fields.
- Data integrity health checks – Validate experiment data quality including visitor ID consistency, assignment overlap between datasets, and primary key uniqueness to identify and resolve data issues impacting experiment validity.
- Opal knowledge expansion – Get more contextual and relevant responses to your analytics questions. Opal now accesses and analyzes your existing explorations and metrics, letting you generate new analyses with greater precision.
- Chart legend improvements – Get enhanced legend rendering for improved performance and readability, especially with high-cardinality data. You can now scroll through legends and view all items without truncation.
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