Metabase is an open-source BI tool. It lets you ask questions about your data, and displays answers in formats that make sense, whether that's a bar graph or a detailed table.
Why Castor x Metabase makes sense?
Metabase search experience is not optimal. End users often end up lost in all the Tables, Questions and Dashboards when they are looking for a specific content. One of the reasons is that lineage and popularity of Tables, Questions and Dashboards are not leveraged to organise these assets. It is hard to trust and have visibility in the Metabase UI.
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 Metabase dashboards and questions.
How does it work?
This feature aims at displaying Metabase's Dashboards and Questions within Castor, linking them with the tables they use and leveraging their popularity for search purposes
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
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
Ok, but what does it change for me?
Thanks to the Castor x Metabase 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
Get in Touch to Learn More
“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data
