Summer Institute for Educational Fundraising Pre-Institute Sessions-Did Someone say data Metrics and outcomes

Did Someone say data Metrics and outcomes

Pdf Summary

The document is a summary of a session on metrics and outcomes in data analysis, led by William L. Pierce and Sarah Schutt. The session starts with a discussion on current data measurement practices and how data is used. The top five takeaways from the session are listed, including being a data champion regardless of role, starting small with available data, measuring outcomes along with outputs, not letting immediate challenges deter progress, and using data to share impact and tell stories.<br /><br />The document then explores the landscape and challenges of a data-driven society, including the abundance of available data and potential difficulty in collecting and applying it effectively. It emphasizes the importance of data in decision-making and provides a roadmap for using data to measure progress towards desired outcomes.<br /><br />The benefits of data analysis are discussed, including making informed decisions on resource allocation, identifying opportunities for investment, and differentiating oneself in a career. The document explains the difference between quantitative and qualitative data and their roles in engagement strategy.<br /><br />The document provides examples of different metrics and outcomes that can be measured in alumni engagement, such as event attendance, scholarships awarded, staff travel, increased affinity, and growth in alumni network and philanthropy. It emphasizes the importance of aligning measurements with institutional values, organizational priorities, and the goals one wants to achieve.<br /><br />The document showcases examples of how data can be used in alumni engagement, such as analyzing results, making decisions, determining key performance indicators (KPIs), and sharing data with campus partners. It also includes visual representations of data trends and highlights strategies for recent graduate engagement.<br /><br />In conclusion, the document encourages collaboration in data analysis, starting with small achievable goals, working with different stakeholders, and finding the fun in using data to develop strategies. It also suggests assessing data before making decisions, getting involved in data collection and analysis, and leveraging the expertise of others. The document prompts readers to reflect on one thing they will carry forward to begin their data journey.

Keywords

metrics

outcomes

data analysis

data measurement

data usage

data champion

starting small

measuring outcomes

data-driven society

decision-making