Accomplishments
- Our data variable spreadsheet is complete and we are in the process of getting all the data fields in Data Mart to start running correlations.
- We are focusing on two outcomes
- Donor outcome: we plan to figure out the attributes of donors and non donors
- For example, if we have non donors registering and attending events, have student activity and volunteer backgrounds, receiving, opening, and engaging with email and they still haven’t given → WHY?
- These constituents would be on our high priority list
- For example, if we have non donors registering and attending events, have student activity and volunteer backgrounds, receiving, opening, and engaging with email and they still haven’t given → WHY?
- Giving outcome: we will only be analyzing donors and their established traits
- For example, constituents that are LAG donors that look like major gift donors but have only given a few thousand dollars over the past 10 years
- Donor outcome: we plan to figure out the attributes of donors and non donors
Obstacles/Challenges
- High priority tasks on the Advancement Services team for CYE and data migrations taking place may put us around a February timeline for all correlations to be completed.
- Planning what we will do after our correlations are complete
- Planning to meet with LSU since they have a “gold score” for all their entities/prospects that their stats department created
- We will also need to determine how we will scale/weight the significance of our variables and correlations