Refresh: Thinking about Data Modeling? Five Key Questions to Consider Before Starting

Presenter: Joshua Birkholz, Bentz Whaley Flessner
Year: 2014 (Original Recording: 2009)
Price: Members: $49, Non-Members: $79
Body of Knowledge Alignment:
Domain: Data Analytics

  • Competency 1: Cross Industry Standard Process for Data Mining (CRISP-DM) Competencies, Level I & Level II
  • Competency 2: Project Management, Level I
  • Competency 3: Data Manipulation Skills, Level I & Level II
  • Competency 4: Statistical Techniques and Competencies, Level I & Level II
  • Competency 5: Visualization/Reporting Techniques and Competencies, Level I
  • Competency 6: Communication, Level I & Level II
  • Competency 7: Fund Raising Knowledge, Level I & Level II
  • Competency 8: Analytics and Campaign, Level I
  • Competency 9: Change Management/Strategic Thinking, Level I & Level II 

This presentation will address:

  • Readiness of your program for implementing data mining and modeling
  • Necessary skill sets for analytics professionals 
  • Software evaluation approaches 
  • Training opportunities
  • Analytics implementation strategies

An increasing number of development programs are building internal analytics capacity for prospect identification, direct marketing segmentation and program analysis. With the increasing demands of prospect development programs, when does it make sense to add this capability to your organization? This session will discuss the five key questions to consider before starting an analytics effort of your own.

Login to view purchase options

Recent Stories
Donor Retention, Churn, and Other KPIs using Tableau

Putting Mid-Level Prospects on Your Radar: Helping Often Overlooked Donors Take Flight

UK Fundraising and European Data Protection Ruling: What It Means, What to Do