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
Here is your download link for
ER/Studio Data Architect!
Please choose the file that meets your system requirements:
You’ll also receive a confirmation email with a download link for your product. To ensure email delivery, please whitelist [email protected]. If you do not receive your email, please be sure to check both your inbox and filters for a message from [email protected].
See Also:
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Whitepaper: Data Modeling is a Form of Data Governance
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Whitepaper: Empowering Operational Data Governance with Data Lineage
-
Whitepaper: The Elements of Data Governance
-
Webcast: 5 Best Practices for Operationalizing Data Governance
-
Webcast: Avoid the Seven Mistakes Data Modelers Make in Aiding Data Governance
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Webcast: Data Architecture and Data Governance: A Powerful Data Management Duo
-
Webcast: Data Modeling is a form of Data Governance
-
Webcast: Modeling Data Governance
-
Webcast: The Power of Common Language in Data Governance
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Webcast: IDERA Live | Business Value Metrics for Data Governance
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Webcast: Human Factors in Data Governance
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Webcast: The Model Enterprise: A Blueprint for Enterprise Data Governance
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Infographic: Establish a Data Governance Foundation with ER/Studio
-
Video: Document a Database As Part of a Data Governance Initiative with ER/Studio
-
Video: Team Server for Data Governance
-
Video: Using Business Processes for Data Governance
-
Solution Brief: Fortify Your Data Governance with Enterprise Data Architecture
-
Case Study: Accolade Streamlined Data Modeling and Team Collaboration for Data Governance
Topics :
Products :
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
Here is your download link for
ER/Studio Data Architect!
Please choose the file that meets your system requirements:
You’ll also receive a confirmation email with a download link for your product. To ensure email delivery, please whitelist [email protected]. If you do not receive your email, please be sure to check both your inbox and filters for a message from [email protected].
See Also:
- Whitepaper: Data Modeling is a Form of Data Governance
- Whitepaper: Empowering Operational Data Governance with Data Lineage
- Whitepaper: The Elements of Data Governance
- Webcast: 5 Best Practices for Operationalizing Data Governance
- Webcast: Avoid the Seven Mistakes Data Modelers Make in Aiding Data Governance
- Webcast: Data Architecture and Data Governance: A Powerful Data Management Duo
- Webcast: Data Modeling is a form of Data Governance
- Webcast: Modeling Data Governance
- Webcast: The Power of Common Language in Data Governance
- Webcast: IDERA Live | Business Value Metrics for Data Governance
- Webcast: Human Factors in Data Governance
- Webcast: The Model Enterprise: A Blueprint for Enterprise Data Governance
- Infographic: Establish a Data Governance Foundation with ER/Studio
- Video: Document a Database As Part of a Data Governance Initiative with ER/Studio
- Video: Team Server for Data Governance
- Video: Using Business Processes for Data Governance
- Solution Brief: Fortify Your Data Governance with Enterprise Data Architecture
- Case Study: Accolade Streamlined Data Modeling and Team Collaboration for Data Governance
Topics :
Products :
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.