Published on 13 Feb 2013
"We have built a 360-degree view of customer satisfaction by bringing together all our marketing departments. The IBM SPSS software facilitates the sharing of best practices between brands and gives them the means to dramatically improve customer relations. " - Claire Fouquerand, CRM and Innovation Director, Redcats Group
Big Data, Business Analytics, Digital Media, Predictive Analytics, Social Business for Customer Service, Social Business for Marketing, Social Business for Sales
From clothing to contemporary furnishings, the Redcats Group distributes fashion and lifestyle products both online and in its stores all over the world. It owns 17 European and American brands, of which OneStopPlus, BrylaneHome, The Sportsman’s Guide, Daxon, Vertbaudet, La Redoute and Cyrillus are among the best known.
Redcats Group wanted to provide its brands with a common, user-friendly predictive analytics tool that would be able to operate in a Big Data environment and help them optimise their marketing strategies.
The company created a solution that enabled it to exploit its colossal customer database using IBM SPSS® Modeler software.
Reduces data processing time by a factor of 10.
Delivers greater responsiveness in decision-making and more precise, better targeted marketing campaigns. Makes strategic data on purchase history and customer satisfaction available rapidly, and transforms it into meaningful information. Spreads predictive analytics best practices throughout the group via an increasingly web-oriented environment. Provides a shared and user-friendly tool which is designed to be rolled out internationally. Delivered full return on investment within seven months.
IBM products and services that were used in this case study.
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