A data structure for customer insights

Jim Porzak

Applied Marketing Analytics: The Peer-Reviewed Journal, 2017, vol. 3, issue 1, 19-31

Abstract: Data-driven customer focused organisations front line business analysts and data scientists have an overwhelming collection of data about their customers. A simple data structure is presented to organise those disparate data in a way that is focused on enabling the easy discovery of customer insights by business analysts. Focusing on the customer when collecting and summarising source data ensures relevant data elements, with a general framework for both subscription and product organisations described. A concrete example of the customer insights data mart built for one subscription business is followed by four examples of actual business questions that were answered with simple queries.

Keywords: DBMS; SQL; data lake; data mart; data warehouse; customer analytics (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:aza:ama000:y:2017:v:3:i:1:p:19-31

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