CastorDoc and Tableau

Why Castor x Tableau makes sense?

Tableau's search experience is not optimal. If you try to search for a specific dashboard in Tableau, you might struggle. End users often end up lost in all the Dashboards when they are looking for a specific content. One of the reasons is that lineage and popularity of Dashboards are not leveraged to organise these assets. It is hard to trust and have visibility in the Tableau UI.

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Castor makes it easy to find data the most relevant data assets with a powerful search optimized thanks to popularity and advanced filtering options. Castor also provides lineage between the data warehouse tables and Tableau Dashboards.

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How does it work?

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This feature aims at displaying Tableau Dashboards within Castor, linking them with the tables they use and leveraging their popularity for search purposes. For example, data consumers can thus search across all dashboards for the relevant description or to avoid duplicate work.

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Use-case #1

As as Sales Manager, I want to be able to find the MRR dashboard based on a search query and their popularity so that I can get a faster analytics insights

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Use-case #2

As a Customer Success Ops, I want to be able to find the most advanced/popular data asset for my need and be guided in how to use a table if needed

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API Access: if any metadata element is not available in CastorDoc's native integration, you can ingest it with our comprehensive API.

Important:  CastorDoc do not access the data itself, only metadata. This ensure that you data stays safe & secure while CastorDoc delivers as much value as possible.

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Ok, but what does Castor x Tableau integration change for me?

Thanks to the Castor x Tableau integration, you have better control, trust and visibility on your data infrastructure. This helps with:

• Decreasing the number of duplicate content and work
• Decreasing "Time to answer" as users can use the highest value add asset available (they don't use a table anymore when a dashboard is available)
• Increasing the ability to deploy self-served analytics to less technical users

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