Veterans Organization Data Set for Predictive Modeling Course
A national veterans organization utilizes a data set from SAS to target donation solicitations efficiently. The dataset features response behavior, lapsing donors, and gift-related variables for over 19,000 records. It will be used in homework assignments for predictive modeling topics.
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Acknowledgement The pva_raw_data Data Set is from SAS. It is used in a SAS course on predictive modeling with logistic regression. 2
A national veterans organization seeks to better target its solicitations for donation. By only soliciting the most likely donors, less money will be spent on solicitation efforts and more money will be available for charitable concerns. Solicitations involve sending a small gift to an individual together with a request for donation. Gifts include mailing labels and greeting cards. The data are over sampled. The original proportion of responders is .05
The organization has more than 3.5 million individuals in its mailing database. These individuals have been classified by their response behavior to previous solicitation efforts. Of particular interest is the class of individuals identified as lapsing donors. These individuals made their most recent donation between 12 and 24 months ago. The raw analysis data has been reduced for the purpose of this course. A subset of slightly over 19,000 records has been selected for modeling. In addition, the 481 fields have been reduced to 47. If the variable has PROM in its name, then the variable is related to the number of items the organization sent to the customer. If the variable has GIFT in its name, then the variable is related to the amount of money the customer sent to the organization.
This data set will be used in homework assignments during the predictive modeling topics.
