This buyer’s guide helps organizations evaluate AI analytics platforms in an increasingly competitive digital landscape. It outlines key priorities such as connecting the full customer journey, democratizing data access, and turning insights into action faster. The guide explains essential capabilities including identity resolution, composable architecture, governance, experimentation, and embedded AI. It emphasizes the shift from passive reporting to proactive, AI-driven insights that recommend and automate actions. Evaluation frameworks and real-world examples illustrate how the right platform enables better decisions, faster iteration, and measurable business impact while scaling securely across teams.

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