Prospect Analytics: Separating Fact from Fiction

Presenter: Ashutosh Nandeshwar, California Institute of Technology
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
  • Competency 3: Data Manipulation Skills, Level I
  • Competency 4: Statistical Techniques and Competencies, Level I
  • 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 9: Change Management/Strategic Thinking, Level I & Level II

Despite popular belief, statistical models do not find mega-donors, reinvigorate pipelines, nor generate revenue. In this session, we will cut through the hype to define a broader, data science-based approach to prospect analytics and provide a road map for reaching the ultimate goal of analytics: actionable insights. By examining the building blocks of successful analytics projects, we will illustrate the fact that success is not measured by the use of sophisticated techniques, but rather by the ability to think about problems and coming up with data-driven solutions

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