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Turning Membership Surveys Into Action - Predictive Analytics

PASS Data Community Summit via YouTube

Overview

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This course teaches learners how to turn membership surveys into actionable insights by covering topics such as member survey factor analysis, reducing variables using regression, predictive modeling approaches, and key rules for member satisfaction and recommendation models. The course aims to help participants understand survey data better and effectively communicate results to business stakeholders. The intended audience for this course includes data analysts, data scientists, market researchers, and professionals interested in survey analysis and predictive analytics. The teaching method involves a real-world case study approach to demonstrate the process of analyzing and interpreting survey data for practical business applications.

Syllabus

MARATHON
Technical Assistance
Attend PASS Summit to Grow Your Career
Talk Outline
Problem Setup: Member Survey
Data Preparation
Sampling and Target Populations
Objective and Data Challenges
Why Factor Analysis?
Factor Analysis: Key Factors
Member Survey Factor Analysis Loadings
Reduce Variables using Regression
Predictive Modeling Approach
Key: Explaining Results
Rexer Analytics Survey (2015)
Classifiers Find Different Decision Boundaries
Member Satisfaction Model: Key Rules
Member Satisfaction Model: Unsatisfied Rules
Recommend to Friend Model: Key Rules
Summary of Key Questions in Models
Key Differences Between Targets, Put Another Way
Conclusions
Intend to Renew Model: Splitters
Intend to Renew Model: Key Rules

Taught by

PASS Data Community Summit

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