Aligning Data Governance with Business-Driven Data Architecture


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About the Paper

IDERA_EDW2020_Cover.PNGDefining an effective and meaningful data architecture must engage both the business and information management teams to enable alignment for operations within an organization. By using an integrated set of repository-based business process models and business-driven data architecture, data governance can ensure the quality of enterprise data and help guarantee that the business processes will achieve the stated business objectives. In this whitepaper, IDERA and David Loshin describe how business objectives and business processes drive data architecture and provide a foundation for data governance, including information about how:

• Siloed data modeling impedes the enterprise data strategy
• Business objectives and business processes drive data architecture
• Business-driven data architecture actualizes data governance

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