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后数据中台时代的机遇和挑战.pdf

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本文主要内容概括如下: 1. 数据中台的价值主张:数据中台能够统一数据控制,提供诊断性分析、资源效率描述性分析、组装式数据与分析(D&A)、数据服务“OneData、OneID和OneService”等,以实现多渠道集成、及时洞察、指示性分析、分析可扩展性、隐私与安全、数据完整性、数据主权、决策智能、业务优化与创新等目标。 2. 企业对于建设数据中台的态度:根据2022年Gartner数据和分析趋势网络研讨会的调查,46%的企业对数据中台的定义与范围有明确理解,并已经开始建设。 3. 数据中台的发展困境:预算限制、文化和人才短缺是阻碍数据中台成功的主要因素。根据2024年Gartner首席数据和分析官(CDAO)议程调研,前三位因素占比总和为42%。 4. 数据中台的演进:从碎片化的D&A到可复用的D&A,再到以业务为导向的增强型D&A,数据中台的发展经历了从自由发展到统一管理,再到业务驱动的转变。 5. 数据中台与AI的结合:数据中台为AI技术的应用提供了基础,而AI技术也为数据中台带来了新的应用场景和价值。 6. 数据中台的价值实现:数据中台通过数据管理、数据治理和编排、数据源摄取、BI和数据科学/机器学习等环节,实现数据的价值。 7. Gartner的产品和服务:Gartner提供战略建议、可信赖的洞察、实用的工具等,帮助企业完成关键任务,打造未来成功企业。
数据中台如何帮助企业实现数据驱动变革? 企业如何利用AI技术赋能数据分析? 数据治理在降低生成式AI风险中起什么作用?
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