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Splunk:2023数据创新的经济影响行业洞察-7大关键行业如何建立弹性及提升利润(英文版)(24页).pdf

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1、The Economic Impact of Data Innovation 2023How 7 key industries build resilience and increase profitIndustry InsightsData leaders are more profitable,more resilient and more successful.The Economic Impact of Data Innovation 2023 report takes a holistic look at the advantages and opportunities of dat

2、a innovation.This focused report breaks down opportunities and challenges unique to seven key industries.The Economic Impact of Data Innovation 2023 Industry Insights03 Industrial-Strength Innovation10 Communications and Media12 Financial Services14 Healthcare and Life Sciences16 Manufacturing and R

3、esources18 Public Sector20 Retail22 TechnologyThe Economic Impact of Data Innovation 2023 Industry Insights|Splunk 03 Industrial-Strength InnovationThe right investments pay off.We see this from research in The Economic Impact of Data Innovation,a survey of 2,000+data leaders from 11 countries and s

4、even industries.The report identified an array of data maturitys concrete outcomes:Data innovation leaders develop more new products and services and get them to market faster than competitors and have a 9.5%profit edge too.The general takeaways from the main Economic Impact of Data Innovation repor

5、t are also worth exploring by industry,with the unique opportunities and challenges experienced by each.Financial services organizations more often appoint executive roles to own customer experience and data innovation and tend to see better customer success outcomes.A key strategy for healthcare or

6、ganizations has been to incentivize IT roles around innovation capabilities.And so on.Market Competitiveness Industry ComparisonMonths faster to market versus competitorsCommunicationsFinancialHealthcareManufacturingPublic sectorRetailTechnology7.88.28.79.911.818.512.5Average:11.5 monthsThe Economic

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根据报告的内容,本文主要讨论了2023年数据创新对七个关键行业的影响。主要观点包括: 1. 数据创新领导者比竞争对手更快地开发新产品和服务,并拥有更高的利润率。 2. 各行业面临的共同挑战是数据增长速度超过组织处理能力,以及客户期望的不断提高。 3. 金融服务业在数据创新方面领先,但面临人才招聘和保留的挑战。 4. 医疗保健行业在数据创新方面表现良好,但同样面临人才问题。 5. 制造业在供应链和产品/服务发布方面领先,但在客户体验方面落后。 6. 公共部门在数据运营化方面领先,但在数据创新方面落后。 7. 零售业在数据创新方面表现出色,特别是在品牌忠诚度和客户终身价值方面。 8. 技术行业在数据创新方面表现全面,但数据增长速度超过组织处理能力。 总体而言,数据创新对各行业都有积极影响,但每个行业都有其独特的优势、挑战和机遇。
数据创新如何影响行业利润? 哪些行业在数据创新方面领先? 数据创新如何帮助企业提高竞争力?
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