Geek Sync Webcast : Geek Sync | Avoid the Seven Mistakes Data Modelers Make in Aiding Data Governance
Data privacy, protection, and compliance legislation is becoming ever more important. In that context, organizations have been looking towards their data governance teams to make sure that they understand their data, know how it is classified, and where it resides.
In this session, join Karen Lopez in discussing the mistakes that data modelers make in supporting data governance programs — and that you should avoid! These mistakes include collaboration errors, data model security fails, data stewarding missteps, data model integrity harms, and more.
Newer compliance regulations can make these mistakes costly and difficult to recover from. Karen wants you to love your data — and your data model!
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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: 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
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Karen Lopez has more than 20 years of database design experience. She specializes in the practical application of design approaches, balancing development time frames with the need to deliver solutions that will support business agility and data quality needs. She’s known for her fun and engaging speaking and teaching style. She tweets about data, space exploration and her travel experiences at @datachick. Karen blogs at www.datamodel.com.
