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Understanding Nonprofit Data Governance
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Understanding Nonprofit Data Governance

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Establishing Data Governance within your organization manages risk, increases data quality and reduces the cost of operation

Establishing Data Governance within your organization manages risk, increases data quality and reduces the cost of operation

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  • 1. Understanding Nonprofit Data Governance The Power of Data – Trust It
  • 2. “Building a sound governance model ensures marketing is on that right track to building data-driven brand growth - and protecting consumer trust.” - The Direct Marketing Association
  • 3. Data Governance Best Practices Ensure 1. Data Availability Is your data accessible and current when it’s needed? 2. Data Usability Can your data be used to makes sound decisions? 3. Data Integrity Is your data trusted? 4. Data Stewardship Are you following privacy & compliance requirements?
  • 4. People TechnologyProcess
  • 5. People Authority Accountability Roles Cultural Attitude Collaboration Policy Information Flow Management Data Policy Management Issue Resolution Communication Technology Data Quality Management Compliance Monitoring Data Business Rules Process Management Data Governance Components
  • 6. A Successful Data Governance Team Must have strong support from executive leadership, the participation of IT, data owners and data users. The team should include a small static core integrating additional input as required.
  • 7. Data Governance Policy Policies are a guide to decisions and achieve rational outcomes Policy Examples: Data shall be collected in a lawful and appropriate manner in accordance with the requirements of applicable legislation Development Data includes personal data, demographic data, income and giving data The Organization owns the data, but a specific person in the form of a Data Steward will be designated with the ultimate responsibility to define how the data is managed
  • 8. Data Governance Technology Data Governance in Action • The use and management of data is defined • Business policies for data model, data quality, security, lifecycle management are integrated with user interactions • Data Governance policies drive the behavior of systems when possible • Data is monitored and issues are addressed proactively before negatively impacting the business
  • 9. Getting Started Assemble the Core Team Define Measureable Data Governance Objectives Define Roadmap and Timeline
  • 10. Managing the Data Governance Process Identify Goals Team Meetings Policy Development Strategy Implementation Progress Evaluation Progress Communication
  • 11. ”Marketing Data Governance is an ongoing process and should be ever-changing as companies innovate and add new data capabilities, new data, new devices, new services, and launch new brands.” - Peg Kuman, Vice Chairman of Relevate Group Continue the Process
  • 12. For more information on how to develop your Data Governance contact Data Best Practices info@databestpractices.com (800) 936-1763 www.databestpractices.com