Leveraging Geographic Data for Prospecting

Presenter: Carrick Davis, University of Wisconsin Foundation
Year: 2014
Price: Members: $49, Non-Members: $79
Body of Knowledge Alignment:
Domain: Data Analytics

Competencies and Levels: 

  • Competency 1: Cross Industry Standard Process for Data Mining (CRISP-DM) Competencies, Level I
  • Competency 2: Project Management, Level I & Level II
  • Competency 3: Data Manipulation Skills, Level I & Level II
  • Competency 4: Statistical Techniques and Competencies, Level I
  • Competency 5: Visualization/Reporting Techniques and Competencies, Level I & Level II
  • Competency 6: Communication , Level I & Level II
  • Competency 7: Fund Raising Knowledge, Level I
  • Competency 9: Change Management/Strategic Thinking, Level I 

As more development shops bring analytics and data mining capabilities in house, a prime dilemma that analysts face is the problem of collecting wealth indicators on their entire database. Regular wealth screenings may be out of financial reach of some organizations, or an organization may only be able to screen a fraction of the entire database. Because of these challenges, using readily available validated wealth information provided in a geographic dimension is a simple solution to allow organizations to prospect more efficiently. 

Login to view purchase options

Recent Stories
Financial Analysis: Practice, Myths & Reality in Prospect Research

Risks, Opportunities, and Resilience: Lessons Learned from the Great Recession to Take Action Now

Planning for an Uncertain Future: a Public Health-Based Framework for Fundraising KPIs