[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjM0MjU","title","Data Preparation for Customer Analytics","state","published","contactAuthorMethod","email","aboutText","

Data Preparation for Customer Analytics is a transactional data roadmap for marketing professionals looking to implement customer analytics. Using customer identifiers and transaction amounts, readers learn advanced data wrangling methods for customer analytics projects. Readers will be exposed to various customer analytics models for managing customers.

The R programming language is utilized to demonstrate data preparation and modeling concepts, with a focus on the latter. An R package “CADF” comes with the book and provides functions for managing customer data. R-code is illustrated so that reader may create their own transactional data preparation approach, specific to their business or organization.

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