The link to last week’s challenge (challenge #24) is HERE.
As we have said before, restructuring poorly formatted data is one of the most common Alteryx use cases. This week’s challenge is another real world example of a data problem faced by one of our customers.
Use Case: A credit card company’s customer Data is structured so that each row of data contains the merchants each customer has visited in a given week. The credit card company is wanting to understand the correlation of merchants visited by customer. For example: if a customer visit 7-11 what other stores do they have a high propensity to visit?
Objective: Restructure the data into rows that pair merchants together by customer.