Thanks for the details, will be sure to attend the Analytics and AI related Keynotes and Solution Keynotes session. (Hoping I get a good sleep in the afternoon, will be attending from GMT +10)

Looking forward to attend the live stream.

Loved the idea. Thinking of few use cases: Export forecasted sales by product and store to plan inventory levels and reorder quantities effectively. Export forecasts considering seasonality and holidays (Prophet model strength) to optimize timing and budget allocation. Export data tables to support presentations,…

Really amazing visualization. Loved it.

Amazing use case and Visualization. Really loved how easy it is to understand and read.

Thanks for sharing the Details.

Congratulations to all the community Leaders!

Amazing Dashboard. Thanks for Sharing!

Welcome @Rasta Ghafouri-Oracle. Congratulations.

Got issues with the visa so I could not attend this year! looking forward for next year.

Agreeing on the security point, it’s valuable for sensitive data use cases. At the same time, many users access OAC from different devices, so maybe instead of disabling concurrent sessions entirely, we can have a role-based option or dashboard setting to prevent concurrent view for each user or role.

https://community.oracle.com/products/oracleanalytics/discussion/comment/71216#Comment_71216 Looking at the Scenario, and the details provided I am also wondering if the limit can be increased to 1 5 or 20. I have upvoted for the idea as I think that we should have option in place to change the scenarios or limitation on…

Thanks for the example @GabriellePrichard-Oracle. I was also thinking if Nested Branching can be done. In the above use-case my thinking was to create a nested Branch to have each quarter of the year included. Something like this

Congratulations all.

Happy to Help.

Apart from what @Nehemias-Oracle has suggested, I would also encourage to check out the https://community.oracle.com/products/oracleanalytics/categories/analytics-data-visualization-gallery It includes many submissions with links to live OAC workbooks or downloadable DVA files, which can give you and the team a much deeper…

You could try creating a measure such as: COUNT(transaction_id BY transaction_amount) Then use it within a filter or a CASE expression like this: CASE WHEN COUNT (transaction_id BY transaction_amount) >=2 THEN 'suspicious transactions' ELSE 'normal transaction' END This approach should help in flagging amounts that appear…

Really amazing use case and visualization.

Thanks for sharing the .DVA.

Amazing Dashboard. Is it possible to share the Link to the Viz as I am new to OAC and would love to learn how you made this viz as I am very much interested in the face to face comparison you did. This is amazing.