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1、Transform your data with the ESG Data EstateSourav ChakrabortyPrincipal Product ManagerSUS04TSourav ChakrabortyPrincipal Product Manager,Microsoft Cloud for SustainabilityAgendaIntroduction to ESG Data EstateData ingestion in ESG Data EstateUnderstanding the ESG Data Estate schemaComputing sustainab
2、ility metricsQ&AIntroductionSustainability data solutions in Microsoft Fabric(preview)Highly integrated,easy-to-use suite of services Environmental metrics and analytics(preview)Microsoft Azure emissions insights(preview)ESG data estate(preview)Social and governance metrics and reports(preview)ESG d
3、ata estate(preview)IngestIngest and standardize data from multiple source systems with the ESG data schema and lakehousesCompute Use pre-built or build custom data processing artifacts for consumption scenariosVisualizeVisualize data analytics and insights with built-in and custom dashboardsESG Data
4、 Estate(preview)overviewIndustry data rulesAggregate into business-friendlyPrepare analytical datasetsUnify and harmonize from dataTransform into industry data modelEnrich with enterprise and external datasetsIndustry data templateIngestedRawData External data“as-is”Raw ESG dataStandardized sustaina
5、bility dataComputed sustainability metricsStores disparate data“as-is”from various data sourcesTransforms raw data to a standardized ESG schemaStores the standardized raw data in SQL tables based on the ESG schemaAggregates standardized ESG data into analytical datasetsComputes defined quant.ESG met
6、ricsStores aggregated datasets and computed metrics in SQL tablesDashboardsDashboards to explore ESG dataProcessedESGDataStandardized ESG dataComputedESGMetricsESG metrics and datasetsCSRD metrics dashboardsData ingestionData sources and targets in ESG Data EstateIngestedRawData External data“as-is”