ATscale:揭开语义层的神秘面纱-实现更智能、更快的AI和BI(英文版)(13页).pdf

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ATscale:揭开语义层的神秘面纱-实现更智能、更快的AI和BI(英文版)(13页).pdf

1、Demystifyingthe Semantic LayerThe What,So What,and Now WhatA Perspective From Legendary Best-selling Author Prashanth Southekal,PhD,MBADr.Southekal has consulted for over 75 organizations including P&G,GE,Shell,Apple,and SAP.is the author of two books “Data for Business Performance”and Analytics Bes

2、t Practices”Wh i t e pap e rFOR SMARTER,FASTER AI AND BI2DEMYSTIFYING THE SEMANTIC LAYERThe What,So What,and Now WhatThe data economy is increasingly embraced worldwide in every industry.Data has enabled firms like Netflix,Facebook,Google and Uber to have a distinct competitive advantage.In 2021,the

3、 market capitalization of Amazon($1.7 Trillion),a data company,was more than the combined GDP(Gross Domestic Product)of two big G20 countries-Turkey($780 Billion)and Saudi Arabia($700 Billion).Companies that are data-driven demonstrate improved business performance.A report from MIT says digitally m

4、ature firms are 26%more profitable than their peers MIT,2013.McKinsey Global Institute indicates that data-driven organizations are 23 times more likely to acquire customers,six times as likely to retain customers,and 19 times more profitable Bokman et al.,2014.Overall,data and analytics,when deploy

5、ed at scale,can generate a 5%to 10%uplift in revenue and 3 to 6 percentage point increase in EBITDA margin CGT,2021.Today,every company is leveraging data and analytics for improved business performance.However,most organizations struggle to use data for improved business performance and one reason

6、is poor data quality.According to Experian Data Quality,a boutique data management company,inaccurate data affects the bottom line of 88%of organizations and impacts up to 12%of revenues Experian,2015.According to Mckinsey,an average user spends 2 hours a day looking for the right data.A report by H

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