Defining 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, David Loshin describes how business objectives and business processes drive data architecture and provide a foundation for data governance.

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Topics: Data Modeling, Enterprise Architecture, Data Governance
Products: ER/Studio Data Architect, ER/Studio Enterprise Team Edition, ER/Studio Business Architect