This guide explains how to implement analytics step by step. First, identify your goals, data needs, and users. Next, choose a vendor, weighing options like embedded analytics, headless BI, and multitenancy. Prepare infrastructure by connecting data sources, creating logical data models, and ensuring caching for performance. Design dashboards with wireframes to align teams and streamline development. Finally, share insights using embedding options (iFrame, SDKs, Web Components) or exports (PDF, XLSX). Composability, analytics as code, and professional services help ensure scalability, flexibility, and faster adoption across your organization.

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