Companies rely on different types of statistical analyses to extract information from their Customer experience management (CEM) data. For example, segmentation analysis (using analysis of variance) is used to understand differences across key customer groups. Driver analysis (using correlational analysis) is conducted to help identify the business areas responsible for customer dis/loyalty. These types of analyses are […]
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