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General Data Cookbook Demo 

The Data Cookbook and a Pragmatic Approach for Implementing Data Governance
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Pragmatic Data Governance Series

Overview of Data Governance (#0)
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Getting Started with Data Governance (#21)
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Making the Case for ROI on Data Governance (#26)
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Just in Time Data Governance (#1)
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Data Governance on a Dime (#2)
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Clear Path from Question to Answer  (#3)
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Solving the Hardest Part of Reporting - Adoption (#4)
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Why Do Most Data Governance Initiatives Fail (#6)
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Solving the Challenges of Managing Disparate Data Systems (#7)
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Where is My Data? Creating a Data System Inventory (#8)
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How to Use the Data Cookbook Community (#9)
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Effective Use of a Data Dictionary Across Your Higher Education Institution (#10)
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Pragmatic Management of Data Quality (#11)
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Managing Reference Data and Valid Values (#12)
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Implementing Data Governance with Your Reporting Tools (#13)
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Features of the Data Cookbook Integration Suite (#14)
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Implementing Data Governance During a Data Warehousing Project (#15)
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Managing the Data Request Process (#16)
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Implementing Data Governance During a Systems Integration Project (#17)
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Pragmatic Data Governance and Role of Data Steward (#18)
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Documenting and Designing Data Deliverables (#19)
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Documenting and Monitoring Your Data Quality Rules (#20)
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Implementing Data Governance for Survey Data (#22)
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Pragmatic Data Governance Approach for Tracking Data Lineage (#23)
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Just-in-time Data Governance and Work Flows (#24)
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Benefits of Data Governance and Data Cookbook During ERP/Reporting Migration (#25)
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A Day in the Life of a Data Steward (#27)
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Data Governance Best Practices: Knowledge Base (#28)
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Data Governance Best Practice: Data Request and Communication (#29)
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Data Governance Best Practice: Building Trust (#30)
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Data Governance Best Practice: Just-in-time Data Governance (#31)
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Student Data Privacy: Using the Data Cookbook to Enable Privacy Standards (#32)
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Data Governance Best Practice: Data Stewardship (#33)
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Data Governance Best Practices for Higher Education Institutions (#34)
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How GDPR Affects Higher Ed Institutions and What You Can Do About It (#35)
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Building a Strong Data Culture thru Data Governance Best Practices  (#5)
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