Human predictions versus algorithmic predictions: Improving the supplier’s forecasting accuracy in the Dutch Flower Industry

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Keywords	predictive analytics, business intelligence, business analytics, data analytics, rapidminer, sales predicting
Thesis Advisor	van Heck, Eric, Koppius, Otto
Persistent URL	hdl.handle.net/2105/47573
Series	Business Information 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	Prins, Ricardo. (2019, April 30). Human predictions versus algorithmic predictions: Improving the supplier’s forecasting accuracy in the Dutch Flower Industry. Business Information Management. Retrieved from http://hdl.handle.net/2105/47573

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