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Supermarket Data aggregated by Customer and info from shops pivoted to new columns.
Pennacchioli, D., Coscia, M., Rinzivillo, S., Pedreschi, D. and Giannotti, F., Explaining the Product Range Effect in Purchase Data. In BigData, 2013.
Sample dataset of one year hourly basis machine monitor, with the recorded info about failures.
Model that will predict the quality of risk of a loan application. This dataset was initially created by dr. Hans Hofmann at the Institut fur Statistik und Okonometrie Universitat Hamburg.
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (or not) subscribed.
The classification goal is to predict if the client will subscribe a term deposit.
Customer churn prediction dataset in a Bank. 10k customer instances. Source
A dataset relating characteristics of telephony account features and usage and whether or not the customer churned.
Netflix's catalog titles created using their OData catalog API at http://developer.netflix.com/docs/oData_Catalog. Great to see that October is the month when everybody gets ready for the Holiday season.