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Summer Institute for Communications and Marketing ...
Did Someone say data Metrics and outcomes
Did Someone say data Metrics and outcomes
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Pdf Summary
In this document, the session leaders discuss the importance of using data to inform decision-making in alumni engagement and advancement efforts. They emphasize that anyone can champion data, regardless of their role, and encourage starting small with the data already available. The top five takeaways include being a data champion, measuring outcomes as well as outputs, not allowing immediate challenges to deter you, and using data to share impact and tell your story.<br /><br />The document outlines the challenges and opportunities in data-driven society, highlighting the need to catch up in the advancement field. It discusses the importance of accessing, collecting, and applying data effectively. The basics of using data include determining the outcome and measuring progress towards it, as well as using data to make informed decisions and differentiate yourself in your career.<br /><br />The document provides examples of what to measure in alumni engagement, including outputs (such as event attendance and scholarships awarded) and outcomes (such as increased affinity and retention rates). It explains that what you measure should align with your institution's values and organizational priorities, as well as the goals you want to achieve. Key performance indicators are used to measure progress over time.<br /><br />The document also shares specific examples from the University of Toledo Foundation and the Wisconsin Alumni Association, showcasing their strategies for alumni engagement and philanthropic support. It includes graphs and charts illustrating data trends in areas such as alumni affinity, membership, and giving.<br /><br />The document concludes with recommendations for getting started on your own data journey, such as learning from others, starting small, and assessing data before making decisions. It suggests finding ways to get involved in data collection and analysis, looking at data holistically, and leveraging the expertise of others in the field. Finally, it asks readers to consider one thing they will carry forward in their own data journey.
Keywords
data-driven decision-making
alumni engagement
advancement efforts
data champion
measuring outcomes
using data effectively
catching up in advancement field
measuring progress
differentiating in career
key performance indicators
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