Why Data Prioritization Is Becoming the Foundation of AI-Ready Enterprises
As enterprises accelerate AI and advanced analytics initiatives, many are discovering that traditional data governance models are no longer fit for scale. Ambitious AI strategies are colliding with fragmented data foundations, inconsistent definitions, and governance programs designed for a far simpler data landscape.
Governing What Matters explores why leading organizations are shifting away from “govern everything” approaches and toward intentional data prioritization — focusing governance efforts on the data that directly impacts regulatory compliance, executive decision-making, and high-value business outcomes.
Featuring insights from senior data leaders at Citigroup and ICBC, alongside Alation experts, the report reveals how enterprises are building data confidence by identifying Critical Data Elements (CDEs), reducing governance friction, and creating trusted foundations that enable AI at production scale.
Rather than treating governance as a compliance burden, the research shows how outcome-driven governance is becoming a strategic enabler of faster analytics, scalable AI, and enterprise-wide trust in data.
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