Webcasts : IDERA Live | Business Value Metrics for Data Governance
As data professionals, we recognize and understand the need for data governance, focusing on data quality in particular. We have made progress in this area, as illustrated by the emergence of the Chief Data Officer role in recent years. However, in many organizations, the need for governance is still largely unrecognized, and remains very tough to sell internally. You may need some detailed information and metrics to demonstrate the business value. This session will focus on business justification for establishing a data governance framework, including:
- Data classification
- Data quality
- Business value metrics (KPIs)
- Alignment with Business Strategy
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See Also:
- Whitepaper: Aligning Data Governance with Business-Driven Data Architecture
- 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: 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
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Ron Huizenga is the Senior Product Manager of Enterprise Architecture and Modeling at IDERA. Ron has over 30 years of business and IT experience across many different industries including manufacturing, retail, healthcare, and transportation. His hands-on consulting experience with large-scale data development engagements provides practical, real-world insights to enterprise data architecture, business architecture, and governance initiatives.
