Data-Driven Approaches to Churn Predictions for Customer Retention in B2B operations

Additional Metadata
Keywords	Churn, Predictions, Machine Learning, B2B, Retention Strategies
Thesis Advisor	Priante, Anna, Ozdemir, Yagmur
Persistent URL	hdl.handle.net/2105/74673
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Martini, Elena. (2024, August 6). Data-Driven Approaches to Churn Predictions for Customer Retention in B2B operations. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/74673

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