2203 - 利用 IBM IMS 和 watsonx.data 优化数据管理以获得更深入的洞察.pdf

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1、Orlando,FLOctober 69IBM TechXchange 2025Optimizing Data Management with IBM IMS and watsonx.data for Enhanced InsightsSession Code 2203Nitin ChavanSenior Director-IBM&Red Hat Hybrid Cloud COECVineet DumirSenior Solution Architect AI on IBM ZIBM Systems Development LAgenda01020304050607The Banks Real

2、ityThe Real PainThe Turning PointThe Transformation JourneyThe Architecture ViewThe Outcomes for the BankClosingIBM TechXchange|2025 IBM CorporationOrlando,FLOctober 69IBM TechXchange 2025The Banks RealityThe Banks Reality A global bank with decades of customer transaction and risk data is in IMS.IM

3、S is rock-solid for transactions,but efficient methods to integrate IMS data with data warehouses and data lakes are still limited.Business teams often expressed frustration:“By the time IMS data is made available for analytics,the window of opportunity has already passed.”4IBM TechXchange|2025 IBM

4、CorporationThis Photo by Unknown Author is licensed under CC BY-SAOrlando,FLOctober 69IBM TechXchange 2025The Real PainThe Real PainBusiness PainBusiness Pain Fragmented View of Customers&Transactions Slow Access to Actionable Insights Regulatory&Compliance NeedTechnical PainTechnical Pain Siloed,hi

5、erarchical architecture.Batch oriented ETL pipelines add latency+cost.Fewer IMS experts dependency bottlenecks.6IBM TechXchange|2025 IBM CorporationThis Photo by Unknown Author is licensed under CC BY-SAOrlando,FLOctober 69IBM TechXchange 2025The Turning PointThe Turning PointThe Banks Desire:Break

6、down data silosBreak down data silos by bringing IMS data together with cloud and relational sources.Achieve speed,governance,and cost-efficiency in advanced analytics.FutureFuture-ready architectureready architecture a foundation that supports modernization and scales as data volumes grow.8IBM Tech