The author believes that this tool can be particularly useful for startups and small teams that cannot afford a data analyst. The tool was inspired by feedback from the community and an investor who had a perfect use case for it. The author also shares an instance where the tool helped identify differences in the rate of conversion in leads data, providing useful insights with minimal work. The author invites feedback on the tool.
Key takeaways:
- BI-LLM is a tool that automates data analysis workflows on semi-structured data, aiming to aid decisions that are too complex for manual analysis but too small for a dedicated analyst.
- The tool is web-native, developed in TypeScript, runs locally, and requires no data-background, making it accessible to a wide range of developers.
- BI-LLM uses a combination of statistical, machine-learning, and GenAI methods to automate the analysis, contributing to data privacy and security.
- The tool was inspired by community feedback and is seen as a valuable asset for startups and small teams that cannot afford a data analyst.