Self-serve BI tools are often marketed as a solution to enable non-technical users to query data without relying on engineers or data scientists. However, in reality, these tools often fall short as they overlook the importance of context and semantics in understanding the data being queried. The key to effective self-serve BI lies in empowering technical staff to support business stakeholders more efficiently with better tools. Suggestions include providing Language Model Machines (LLMs) to technical users, allowing flexibility with tools like Python or R, and simplifying the sharing process of data applications. Ultimately, the solution to self-serve BI is not about making it accessible to non-technical users, but rather supporting technical users to assist them effectively.
https://briefer.cloud/blog/posts/self-serve-bi-myth/