Whitepaper : Aligning Data Governance with Business-Driven Data Architecture

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, 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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David Loshin

David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the areas of analytics, big data, data governance, data quality, master data management, and business intelligence. Along with consulting on numerous data management projects over the past 20 years, David is also a prolific author regarding business intelligence best practices, with numerous books and papers on data management.

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