Published: 31 May 2023
数据和分析运营模式必须与推动其发展的战略紧密结合。数据和分析领导者应升级企业的战略和运营模式，以确保在颠覆性市场条件下实现动态业务成果。
数据和分析战略常常与旨在交付战略的运营模式相脱节，这会导致运营成本和业务风险暴露的增加，并造成业务价值承诺无法兑现。
运营模式通常以技术为中心，仅关注项目交付，不包含基于业务成果的治理模式。
数据和分析领导者往往认为，其所采用的数据和分析运营模式是唯一的，而未能考虑到那些已嵌入业务职能中、有时会相互冲突的数据和分析运营模式。
为了建立与数据和分析战略紧密结合的有效运营模式，数据和分析领导者应：
明确所需的数据和分析资产、如何有效治理这些资产，以及这些资产需要支持哪些决策，从而确定数据和分析生态系统的范围，为现有和计划中的利益相关者成果提供支持。
确定数据和分析项目路线图中的优先项目，优化企业机构和人员，确保获得可持续资金。
采用一致的架构设计模式，并明确指导原则，从而部署合适的数据和分析赋能技术和平台。
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Analysts:
Saul Judah, David Pidsley, Frank Buytendijk, Andrew White, Mike Rollings
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