Forecasting & Scoring for Endowments

Track: Data Analytics

Session Number: 1118
Date: Fri, Aug 10th, 2018
Time: 4:15 PM - 5:15 PM

Description:

An overview of how CU System Advancement created a 10-year projection for endowment gifts, as well as a scoring model to help identify new endowment donors.
Session Type: Breakout Session

Primary Competency: DA:Competency 8: Analytics and Campaign
Secondary Competency: DA:Competency 4: Statistical Techniques and Competencies
Tertiary Competency: DA:Competency 3: Data Manipulation Skills
Intended Audience Level: Level II
Recommended Prerequisites: Understanding of introductory statistics (Mean, Standard Deviation), and basic understanding of regression modeling.
Learning Objective #1: Attendees will learn a method of doing long-term forecasting using annual change in donation amount.
Learning Objective #2: Attendees will learn how to plan, and construct a scoring model using logistic regression.
Shop Size: All Shop Sizes
Session Type: Breakout Session

Primary Competency: DA:Competency 8: Analytics and Campaign
Secondary Competency: DA:Competency 4: Statistical Techniques and Competencies
Tertiary Competency: DA:Competency 3: Data Manipulation Skills
Intended Audience Level: Level II
Recommended Prerequisites: Understanding of introductory statistics (Mean, Standard Deviation), and basic understanding of regression modeling.
Learning Objective #1: Attendees will learn a method of doing long-term forecasting using annual change in donation amount.
Learning Objective #2: Attendees will learn how to plan, and construct a scoring model using logistic regression.
Shop Size: All Shop Sizes