Embedded analytics refers to the integration of data visualizations, charts, and reports directly within a software product, allowing users to analyze and act on data without leaving the application. This approach provides real-time, interactive analytics that enhances user experience by enabling self-service data exploration, which empowers users to make informed decisions quickly without reliance on separate business intelligence tools or data teams. Embedded analytics offers significant benefits, such as reducing ad hoc report requests, shortening time-to-value, and increasing customer engagement and retention, thus creating new revenue streams for businesses. Common use cases include healthcare, e-commerce, fintech, and marketing, where frequent data-driven decisions are essential. Implementing embedded analytics requires careful planning around security, scalability, and integration to ensure a seamless experience and maintain compliance, especially in regulated industries. Choosing the right solution involves evaluating factors like time to value, integration modes, scalability, security features, and pricing models, with options ranging from simple iframe embedding to more complex SDK integrations or custom builds.