DIY Driver Analysis

Whether this is your first driver analysis or you’re already a guru, this 15 minute webinar is for you.

This webinar will explain all the key steps needed for you to perform your own driver analyses. By the end of the webinar, you will know how to prepare your data, deal with outliers and multicollinearity, and how to create quad maps to show the results. Techniques covered include: generalized linear models, Shapley Regression, and Johnson’s Relative Weights.

Driver analysis is used to quantify the importance of the drivers of satisfaction, NPS, or brand preference. It’s an application of regression, where the outcome is a measure of the performance of one or more brands, and the predictors are measurements of the performance of the brand.

The webinar is presented by Dr Justin Wishart, who is in the data science team at Displayr and has built a number of the features that will be illustrated in the webinar (and, he’s funny!)

Presented by Justin Wishart, Data Scientist, Displayr

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