Embedded analytics refers to the integration of data analytics and visualization features directly within a user's existing workflow, allowing for real-time insights without the need to switch between different applications. This approach enhances user experience and increases the adoption of tools by providing seamless, user-centric designs that are particularly beneficial for both internal and external users. Embedded analytics can lead to increased revenue and competitive advantage for businesses through improved user experience, tiered service offerings, and upselling opportunities. Internally, it boosts productivity by eliminating cumbersome data processes and empowering data-driven decision-making across all levels of expertise. The key distinction between embedded analytics and traditional business intelligence lies in the former's ability to offer real-time data insights within the operational application itself, streamlining the analytics process and saving significant time. Cube, a headless business intelligence tool, facilitates the development of embedded analytics by providing a centralized semantic layer for accurate metrics and secure data access, making it an efficient solution for building customizable and performant analytics applications.