Connector Improvement: Calabrio connector to include tables from Teleopti WFM
Answered
Currently, we use Calabrio's API (https://spark.teleopticloud.com/api/query/Schedule/ScheduleByPersonId) to ingest past and future schedule agent data into Snowflake. However, this process takes over four hours to complete.
To improve timing and efficiency, we want to switch to the Fivetran connector for Calabrio. The current ingestion via Azure ADF pipelines introduces more failure points.
However, when using the Fivetran Calabrio connector, only the SCHEDULE_CHANGE and SCHEDULE_CHANGE_SHIFT tables (with about 6 and 10 columns, respectively) are being ingested.
According to the Calabrio Teleopti WFM CR Data Mart's ER diagram (see Fact_Schedules on page 73), it is expected that the Fivetran Calabrio connector should provide access to all relevant tables in the Teleopti WFM. eg: Mart.fact_schedule.
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Official comment
Hi Victor,
Thank you for reaching out and sharing your request for improving the Calabrio connector. Currently, this feature is not on our roadmap. I encourage you to upvote this request on our feature portal, as it helps us prioritize updates based on user interest. We'll keep your feedback in mind for future consideration.
Best,
Sanjeevv Maniram
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