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Gartner:2023年优化数据与分析战略以实现数字增长的5个阶段(中译版)(13页).pdf

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1、 2022 Gartner,Inc.and/or its affiliates.All rights reserved.CM_GTS_1755170RoadmapDrive Successful Digital Growth With Data and AnalyticsGartner for Information Technology Executives Follow Us on LinkedIn Become a Client Roadmap:Drive Successful Digital Growth With Data and Analytics 2Today,business

2、success and digital initiatives are fueled by data and analytics(D&A)strategies that scale with business ambitions.“The need for more accurate contextual awareness enabled by capabilities to scenario plan,optimize,prioritize and focus investments are now priorities.”Agile D&A capabilities are essent

3、ial to build sense-and-respond capabilities and are leading organizations to unprecedented cycles of rapid innovation to meet the new requirements.According to the Gartner 7th Annual Chief Data Officer Survey,by 2023 the majority of successful CDAOs will have business rather than IT backgrounds as b

4、oards continue to focus more on digital value.Perhaps,D&A is increasingly seen as a key enabler for dealing with current business challenges,as well as a means to address future opportunities.D&A leaders need to support their organization with high-quality,trusted data to enable decision making from

5、 the boardroom to operations.Why should organizations use data as an asset to drive market differentiation and growth?The DASOM Links D&A Strategy to Digital Business OutcomesSource:GartnerDASOM=Data and Analytics Strategy and Operating Model FrameworkData-Driven VisionCapabilities and DeficitsDeliv

6、ery ModelStakeholder OutcomesValue PropositionsD&A EcosystemArchitecturesOperating ModelD&A StrategyGartner for Information Technology Executives Follow Us on LinkedIn Become a Client Roadmap:Drive Successful Digital Growth With Data and Analytics 3As many organizations seek to become more data-driv

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本文主要讨论了数据和分析(D&A)策略在推动市场差异化和增长方面的作用。文章指出,成功的企业正在将D&A策略与可衡量的商业成果和利益相关者目标相结合,并通过自动化、可靠的数据和先进的分析能力来提高效率和决策质量。Gartner提出了一个五阶段的道路图,以增加D&A计划的可见性影响,包括建立愿景和策略、建立运营框架、培养文化和治理、管理D&A价值以及不断改进和进步。文章强调了跨职能团队在D&A计划中的关键作用,并引用了Gartner与AstraZeneca的合作案例,以展示数据和人工智能伦理愿景、指导原则和治理框架的制定。
"如何通过数据和分析实现业务增长?" "如何构建适应性强的数据驱动文化?" "如何评估和优化数据和分析投资?"
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