Predictive Data Analysis for Decision-making
Predictive Data Analysis for Decision-making
(Achieving Our Potential || Internal Processes || Leveraging Data Strategically)
Project Leader: Brittany Powell
Project Members:
Adam Andruchowitz
Paul Brown
Allen Coin
Sharon Poulson
Matt Friedrick
Randy Ham
Latasia Priest
Project Description: Using known data points, like the Alumni Engagement Scoring model and search engine optimization, to dissect and implement strategic decisions to elevate our Advancement program.
Ultimate Goal: By June 30, 2021, we will have a predictive data model created and implemented that will take new and existing data from Advance that will allow us to target the right message at the right time to the right person through all channels.
Project Updates:
- Predictive Data Analysis for Decision-Making Accomplishments
- Predictive Data Analysis for Decision-Making Update
- Predictive Data Analysis for Decision-making Update
- Predictive Data Analysis for Decision-Making Update
- Predictive Data Analysis for Decision-Making Update
Project Outcomes:
- Model has been developed by our Analytics and Data Services team that finds patterns in those who have positive giving outcomes that can then be applied to either developing new donors or bringing back those who have long lapsed.