The guide outlines seven steps to implement embedded analytics effectively: define what to embed for each user role, choose the right embedding method (iframes, SDKs, web components), plan multitenancy and access control, build for scalability and performance with CI/CD and monitoring, secure and govern data end-to-end, design monetization options like premium features or AI insights, and future-proof with analytics-as-code, low-code tools, and AI-driven experiences. It emphasizes balancing flexibility, security, and user value to create scalable, monetizable analytics that evolve with products.

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