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Gartner:Top Trends in Data and Analytics-大数据平台技术论坛(20页).pdf

上传人: 云闲 编号:84445 2021-01-01 20页 1.30MB

1、 2021 Gartner,Inc.and/or its affiliates.All rights reserved.Gartner is a registered trademark of Gartner,Inc.and its affiliates.This publication may not be reproduced or distributed in any form without Gartners prior written permission.It consists of the opinions of Gartners research organization,wh

2、ich should not be construed as statements of fact.While the information contained in this publication has been obtained from sources believed to be reliable,Gartner disclaims all warranties as to the accuracy,completeness or adequacy of such information.Although Gartner research may address legal an

3、d financial issues,Gartner does not provide legal or investment advice and its research should not be construed or used as such.Your access and use of this publication are governed by Gartners Usage Policy.Gartner prides itself on its reputation for independence and objectivity.Its research is produ

4、ced independently by its research organization without input or influence from any third party.For further information,see Guiding Principles on Independence and Objectivity.Julian Sun|孙鑫Top Trends in Data and Analytics22 22 Oct 2021/Hangzhou,Zhejiang,ChinaOct 2021/Hangzhou,Zhejiang,China2 2021 Gart

5、ner,Inc.and/or its affiliates.All rights reserved.RESTRICTED DISTRIBUTIONCEO Top Priorities as It Pertains to Digital BusinessSum of the Top 3 Mentionsn=355,All RespondentsSource:2021 Gartner CEO Survey:The Year of RebuildingQ.In a business context the term“digital”does not have an agreed definition

6、.In your own words,what do you mean when you think about“digital business”in the context of your business and industry?”Data,analytics and AI are critical everywhere!3 2021 Gartner,Inc.and/or its affiliates.All rights reserved.Gartner is a registered trademark of Gartner,Inc.and its affiliates.14%14

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本文是Gartner公司关于数据和分析领域的研究报告,强调了数据、分析和人工智能在数字化业务中的核心地位。报告指出,到2023年,60%的组织将结合三个或更多分析解决方案构建以决策为导向的应用程序。同时,预测到2025年,70%的企业开发的新应用程序将使用低代码或无代码技术。在数据管理基础设施方面,报告发现组织正在使用或计划在12个月内使用多种技术,如云对象存储、数据仓库、数据目录等。此外,数据治理和安全性是组织关注的重点。报告还提到,在未来的数据和分析使用中,自动化是关键,特别是在数据集成、数据准备和分析管理等方面。总的来说,报告揭示了数据和分析在数字化业务中的重要性,以及未来发展趋势和挑战。
未来企业应用的关键趋势是什么?" CEO在数字转型中的优先级是什么?" 企业如何利用数据和分析构建决策型应用?"
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