DBP：2022年在AI和BI中应用语义层的商业影响分析报告（英文版）（28页）.pdf

1、Data Leader Study&Research ResultsResearch Conducted byPrashanth Southekal,PhD.,MBA,MSManaging Principal,DBP InstituteForeword byJon FrancisChief Data and Analytics Officer at PayPalConclusion byMegan C.Brown,Ph.D.Director of Data Literacy at Starbuckswww.dbp-The Business Impact of Using a Semantic

2、Layer for AI&BIby 100+Enterprise Data and Analytics Professionals2ForewordIntroductionExecutive SummaryOverview of the Semantic LayerDesign of the Research StudyKey Research Study FindingsConclusionThe Research AnalystReferencesAppendix 1:Data and Analytics MaturityAppendix 2:Semantic Layer Use-case

3、sAppendix 3:AcronymsAppendix 4:Glossary3468111321222324272829This research helps data and analytics professionals discover what may be one of the best-kept secrets for improving AI and BI that using a Semantic Layer significantly improves the speed,scale,and cost to create actionable insights and an

4、alytics for decision-makers.Having developed and deployed data and analytics capabilities and teams at Paypal,Amazon,Microsoft,T-Mobile,Nike,and Starbucks,what really matters is the ability to deliver actionable insights across the enterprise where speed and scale drive impact.To drive speed and sca

5、le while managing costs,organizations need to move from the traditional“get in line”delivery model,to a“get it when you need it”approach by applying a“hub-and-spoke”delivery model.We do this by embracing modern cloud-based data platforms,tools and processes,and decentralizing insights and analytics

6、creation supported by centralized data management.The Semantic Layer was created to enable enterprises to develop actionable insights using AI and BI at scale,supporting decentralized insights creation with centralized data governance and data management.The Semantic Layer is a key piece of technolo