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Gartner:2025将数据、分析与AI转化为战略增长驱动力:实现转型成果的四步指南(中译版)(13页).pdf

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1、Turn Data,Analytics and AI Into Strategic Growth DriversA 4-step guide to realize transformational outcomesG Follow Us on LinkedIn Become a ClientRoadmap:Turn Data,Analytics and AI Into Strategic Growth Drivers 2By 2027,60%of organizations will fail to realize the anticipated value of their AI use c

2、ases due to incohesive ethical governance frameworks.To ensure maximum business value,organizations must develop a modern data and analytics(D&A)strategy that aligns with the enterprises mission-critical priorities across all departments.A successful D&A strategy is outcomes-led and prioritizes esse

3、ntial D&A investments that drive the organizations success through enhanced data-driven decision making.This approach focuses on delivering quantifiable business impact across the organization.In contrast,organizations that adopt a data-focused D&A strategy may find themselves limited to merely supp

4、orting business functions,rather than driving transformativeoutcomes.How do you become a value-driven data,analytics and AI organization?n=566;all respondentsQ:What are the top 3 inputs to your D&A strategy?Source:Gartner Chief Data and Analytics Officer Agenda Survey for 2023Note:Only 1%have no D&A

5、 strategy of any note.The right-hand side pane shows the results from the cluster analysis,the two clusters(top performers and low performers)are statistically different with respect to stakeholder outcomes.High-performing CDAOs more likely to consider stakeholder outcomes as an input to D&A strateg

6、ySum of top 3 ranks OtherD&A strategy as a subset of IT StrategyDivisional objectivesTactical focus on process,business and system changesStakeholder outcomesCorporate or organizational strategy and visionTop performers:High organizational performance/high D&A team effectiveness Low performers:Low o

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1. **核心问题**:至2027年,60%组织因缺乏 cohesive 伦理治理框架,无法实现AI用例的预期价值。 2. **成功关键**:高绩效组织(78%)将“利益相关者成果”作为D&A战略核心输入,而非仅聚焦数据本身。 3. **价值驱动**:D&A战略需对齐企业关键目标(如收入增长、客户体验),通过量化财务与非财务影响(如品牌价值、员工留存)构建价值故事。 4. **四步路径**: - 获取洞察与高管支持 - 构建价值案例 - 规模化实现价值 - 建立结果导向指标与治理 5. **跨职能协作**:CDAO需联合CIO、CFO、CISO等,确保技术、风险与业务目标一致。
**AI价值如何实现?** **数据战略如何落地?** **如何量化数据价值?**
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