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Empowering Users in Data Analytics
This chapter explores the evolution of analytics tools, emphasizing the shift towards more user-friendly interfaces that enable non-technical users to engage with data effectively. It highlights the importance of schema design and the need for clear structures to facilitate self-service data access, while also discussing the role of large language models in democratizing analytics. The chapter further outlines practical setup processes for tools like Metabase, advocating for organic data exploration before formal analysis.