Yoda Response: Thank you for the question, Avi. When it comes to ensuring user-friendly self-service reporting capabilities while maintaining data integrity and security, my approach involves creating datasets and semantic layers specific to different domains or verticals. For example, in wealth, retail, or corporate banking, we can create datasets that contain the necessary fields for self-service reporting.

To enable self-service reporting, we can provide users with a semantic layer that includes dimension tables, fact tables, and all the required fields for calculations and key performance indicators (KPIs). This allows users to easily access and utilize the necessary metrics, such as year-over-year (YOY) calculations or other custom metrics like profit, price change per month, or any other relevant measures.

By providing a comprehensive semantic layer, we empower users to create their own self-service reports while ensuring that the necessary data integrity and security measures are in place. This approach allows users to access the data they need in a user-friendly manner, while also maintaining the integrity and security of the underlying data.

I believe that this approach strikes a balance between empowering users with self-service reporting capabilities and upholding data integrity and security.