Improving B2B Prospect Identification through Predictive Modeling with Proportional Hazards and Poisson Regression Models

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Keywords	Prospect identification, sales, prediction, Cox proportinal-hazards regression model, Poisson regression model, Low-code, SaaS
Thesis Advisor	Lemmens, Aurélie, Gutt, Dominik
Persistent URL	hdl.handle.net/2105/69457
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	Havinga, Bo. (2023, August 8). Improving B2B Prospect Identification through Predictive Modeling with Proportional Hazards and Poisson Regression Models. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/69457

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