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Oracle Cloud Infrastructure GoldenGate 23ai in the Cloud—Your Data Everywhere [LRN2373].pdf

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1、OCI Golden Gate Michelin With tiresAround tiresBeyond tiresAutomobileRoad transportSpecialtiesFleet connected solutionsMobility intelligenceConnected services platformExperiencesHydrogenFlexible composite products3D Metal printingEngineered polymersA global brandAbout USMichelin Background132,000peo

2、ple698 Minvested in R&D28.590 bnsalesA presence in175countries243Filed patents121Production sites7,400Distribution centers2 BNNet profit3,4bnOperating incomeTHE 6 LEVERS FOR transformation TO support the roll-out of the 2030 strategyTAKING ACTION TOGETHER FOR THE ENVIRONMENTACCELERATIONof INNOVATION

3、GATHER AND leverage DATAAGILE MICHELINCUSTOMER ORIENTATIONI AMMICHELINData strategy Data Catalog Data Governance Resources Tools&practices for building Data&Analytics products Skill Development Community Links&Collaboration Data Ambition Data Roadmap Data Modeling and Definitions Data Quality Monito

4、ring and Resolution Systematic Data Exposition Mature DATS Principles Data Pipelines Technological stack Connect Consumers and Providers Develop Self Service culture of data Foster Developer Experience with Security by Design Connected to and for consumers Design and Testing Operations Performance A

5、I AccelerationsDATA DRIVENCOMPANYPLATFROMPRODUCTSGOVERNANCETRANSFORMATIONLEVERSReal-time Data AvailabilityBusiness Critical Decisions requires real-time data availability and change data capture(CDC)for making timely decisions and maintaining operational efficiency.With the current CDC tool is not m

6、eeting the requirements in terms of volumetry,events,and performanceAMBITIONData exposition from ERP to Eco system(Different Data,Dimensions,Geographies)EVENT DRIVENOur Target towards Event Driven ArchitectureWhy Golden Gate?Digitization With CloudOCI Migratio

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Michelin是一家全球品牌,专注于汽车道路运输特殊ties,拥有132,000名员工,在欧洲、美洲、亚洲等175个国家开展业务,拥有121个生产 sites和7,400个distribution centers。2023年,Michelin计划使用GoldenGate作为服务架构,以实现事件驱动架构,提高业务效率。Michelin的数据战略包括数据野心、数据路线图、数据建模和定义、数据质量监控和解决、系统数据曝光等。Michelin的目标是到2025年,通过使用GoldenGate,将数据从ERP暴露到生态系统中,实现业务模型的数据自由选择、简化数据暴露和无延迟的数据捕获。同时,Michelin还致力于通过使用OCI迁移、AI加速等手段,提高业务性能。
"米其林如何通过数字化转型提升业务效率?" "米其林如何利用数据驱动的方式优化产品和服务?" "米其林在实现2030年战略目标中,将如何利用数据杠杆?"
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