Fabric 可持续性数据解决方案简介.pdf

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1、Introduction to Sustainability Data Solutions in FabricRavi GangadharanPrincipal Architect,Customer and Partner SuccessSUS04MDrag&drop your photo here or click or tap icon below to insertRavi GangadharanPrincipal A me about-Industry Cloud Solutions-Enterprise Strategy-Design Thinking-Indian Cuisine

2、HistoryAgendaWelcome!Sustainability data solutions in Fabric overviewDeployment considerations&best practicesGetting startedQ&AESG challenges and how Microsoft can help solve themThe Data ProblemHuge amounts of dataToo many data silosData gaps and quality issues Heterogenous data types and calculati

3、on factorsMultiple sources(Cloud,OnPrem,1st and 3rd Party),multiple contributors,multiple operating area multiple physical locationsRegulatory Reporting requires specific dataThe Process GapNeed for change management,governance and role-based access for data security.Data accessibility,retrieval,arc

4、hivalData sharing requirements suppliers and customersTool limitations:limitations of tools like Excel for large data volumes and lack of controlA Need for OutcomesWell-informed decision-making relies on insights,trends,forecasts,visualization,and collaborationReporting isnt enough;business transfor

5、mation depends on actions that drive real changeAI and automation are keySustainability data solutions in FabricFinance Data LakeFacility Data LakeActivity Data LakeESG Data Ingestion(Ingest=collect+curate+transform)ESG Data Lakehouse(schema+tables)ESG Reporting and AnalyticsESG Data EstateESG Metri

6、cs and DatasetsESG LakeData integrationData engineeringData warehouseData scienceReal time analyticsBusiness intelligenceObservabilityMicrosoft FabricSustainability data platform to harmonize disparate enterprise data into ESG datasets and metricsPurpose-built data estates for ESG scenariosPre-built