Which recipe transformation is helpful for the consultant to use while creating the dataset?
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particular customer and see what similar customers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?
A . Timeseries Forecasting
B . Cluster
C . Predict Missing Values
Answer: B
Explanation:
Cluster transformation is a powerful tool in CRM Analytics recipes used for grouping similar records together based on shared attributes. In this scenario, Universal Containers (UC) wants to perform whitespace analysis by viewing a particular customer and comparing their purchase history with similar customers. The Cluster transformation would help in identifying groups of customers who have made similar purchases. This can then be used to provide insights into what the viewed customer might also be interested in purchasing, based on similar customer behaviors.
Reference: CRM Analytics Recipes and Transformation
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