Embedded analytics integrates data visualization, reporting, and analytical capabilities directly into applications, portals, or websites, allowing users to access insights without switching tools. Unlike standalone business intelligence platforms that operate as separate systems, embedded analytics becomes part of the host application's user experience, maintaining consistent branding, authentication, and navigation. This approach has become essential for SaaS providers, enterprise software vendors, and custom application developers who want to monetize data insights, increase user engagement, and deliver actionable intelligence where decisions are made. The technical implementation spans multiple domains—from choosing between iframe and SDK integration methods to architecting multi-tenant data isolation, implementing row-level security, and optimizing query performance at scale. Understanding these integration patterns, security models, and deployment strategies is critical for teams building customer-facing or internal analytics that must balance flexibility, security, and performance while meeting compliance requirements and supporting thousands of concurrent users.