Advancement Services: Data and Analytics
Entries should demonstrate a thoughtful, innovative approach to the use of data and analytics in support of educational advancement. Judges will look for projects that speak to better data gathering, analysis, and usability.
Donor prediction models
Unique donor or alumni data segmentation
Re-imagining reports for gift officers
Do not enter:
Database conversions/upgrades. Enter those under Advancement Services Initiatives.
Judges will score nominations from 1 (lowest) to 10 (highest) in these five areas:
Ability to serve as a model for other institutions
Creativity and innovation
Use of resources (budget, staff, and time) and return on investment
Goals and objectives
Impact and results
Judges also may consider:
Special circumstances/overcoming adversity
Quality and clarity of nomination and supporting materials