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Case Study: Will a Bank’s New Technology Help or Hurt Morale?

  • Leonard A. Schlesinger

case study of caeden banking corporation

A CEO weighs the growth benefits of AI against the downsides of impersonal decision making.

Beth Daniels, the CEO of Michigan’s Vanir Bancorp, sat silent as her chief human resources officer and chief financial officer traded jabs. The trio had founded their community bank three years earlier with the mission of serving small-business owners, particularly those on the lower end of the credit spectrum. After getting a start-up off the ground in a mature, heavily regulated industry, they were a tight-knit, battle-tested team. But the current meeting was turning into a civil war.

case study of caeden banking corporation

  • Leonard A. Schlesinger is the Baker Foundation Professor at Harvard Business School, where he serves as chair of its practice-based faculty.

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International Workshop on Machine Learning, Optimization, and Big Data

MOD 2016: Machine Learning, Optimization, and Big Data pp 224–235 Cite as

A Customer Relationship Management Case Study Based on Banking Data

  • Ivan Luciano Danesi 17 &
  • Cristina Rea 17  
  • Conference paper
  • First Online: 25 December 2016

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1 Citations

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10122))

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.

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Considered data is referred to a subset of a leading Bank’s clients. More detailed informations and exploratory analysis are not here reported due to Compliance issues.

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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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D&A Data Science, UniCredit Business Integrated Solutions S.C.p.A., via Livio Cambi 1, 20151, Milan, Italy

Ivan Luciano Danesi & Cristina Rea

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Correspondence to Ivan Luciano Danesi .

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Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

Panos M. Pardalos

Semantic Technology Laboratory, National Research Council (CNR), Catania, Italy

Piero Conca

Dipartimento di Sociologia e Metodi della Ricerca Sociale, Università di Catania, Catania, Italy

Giovanni Giuffrida

Department of Mathematics and Computer Science, University of Catania, Catania, Italy

Giuseppe Nicosia

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Danesi, I.L., Rea, C. (2016). A Customer Relationship Management Case Study Based on Banking Data. In: Pardalos, P., Conca, P., Giuffrida, G., Nicosia, G. (eds) Machine Learning, Optimization, and Big Data. MOD 2016. Lecture Notes in Computer Science(), vol 10122. Springer, Cham. https://doi.org/10.1007/978-3-319-51469-7_19

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    Besides, literature review was conducted to determine the concepts of integrating CKM toward customer attraction process to deliver the suggested Customer Knowledge Attraction Model (CKAM). The study findings reveal that there is a positive effect of customer knowledge management towards customer attraction in Arab Bank. Download Free PDF.

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