数据质量入门：统一数据和人工智能治理的基础.pdf

1、Getting StartedData Quality Foundation for Unified Data and AI GovernanceBobbi CaggianelliHead of Global PractitionersCopyright 2025,Collibra.All rights reserved.2SpeakerMS in Business Analytics“A Practitioners Guide to Data Governance”case study Financial Services Leader-Data Science&Governance Tea

2、m Master Black Belt in Six SigmaBobbi CaggianelliHead of Global PractitionersCopyright 2025,Collibra.All rights reserved.Which came first?The Catalog or Data Quality3Copyright 2025,Collibra.All rights reserved.4Catalog or Data QualityCatalog Provides inventory to help determine where to start with q

3、uality Provides clear ownership of data elements for remediationQuality Easier to show measurable ROI than catalog Gains in quality can increase the appetite to properly do data governanceTogether Economies of scale writing definitions and quality rules at once Builds trust in data more quicklyCopyr

4、ight 2025,Collibra.All rights reserved.What to test first?5Copyright 2025,Collibra.All rights reserved.6Risk Based ApproachData used for marketing to different personasData used for product developmentData used in multiple reports and forecastsPositive RiskData used in AI ModelsData that is used in

5、regulatory reportingPII data that needs to be protectedCalculated fields with financial riskNegative RiskCopyright 2025,Collibra.All rights reserved.Data OwnershipRoles and Responsibilities7Copyright 2025,Collibra.All rights reserved.8Business and Technical OwnershipSME for business purpose and cont

6、ext of dataUnderstands calculated fields from business perspectiveCan quickly determine if a value is in errorHas knowledge of systems of record and data entry risksBusiness OwnerCreator of AI ModelsSME for Data engineering and movementCan read underlying code for data movementUn