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A Customer Relationship Management Case Study Based on Banking Data

  • Ivan Luciano DanesiEmail author
  • Cristina Rea
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10122)

Abstract

This work aims to show a product recommender construction approach within the banking industry. Such a model costruction should respect several methodological and business constraints. In particular, analysis’ outcome should be a model which must be easily interpretable when shown to business people. We start from a Customer Relationship Management data set collected in Banking industry. Formerly, data is prepared by managing missing values and keeping only the most relevant variables. Latterly, we apply some algorithms and evaluate them using diagnostic tools.

Keywords

Customer Relationship Management Machine learning Missing values Variables selection 

Notes

Acknowledgments

We want to acknowledge Raffaele Brevetti, Luca Cilumbriello, Federica Perugini, Nicolò Russo and Dr. Enrico Tonini for their contribute in this work.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.D&A Data ScienceUniCredit Business Integrated Solutions S.C.p.A.MilanItaly

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