A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine-Learning Approach
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- Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015.
"Golden rule of forecasting: Be conservative,"
Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
- Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2014. "Golden Rule of Forecasting: Be conservative," MPRA Paper 53579, University Library of Munich, Germany.
- Davis, Donna F. & Mentzer, John T., 2007. "Organizational factors in sales forecasting management," International Journal of Forecasting, Elsevier, vol. 23(3), pages 475-495.
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Cited by:
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- Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
- Alireza Rezazadeh & Yasamin Jafarian & Ali Kord, 2022. "Explainable Ensemble Machine Learning for Breast Cancer Diagnosis Based on Ultrasound Image Texture Features," Forecasting, MDPI, vol. 4(1), pages 1-13, February.
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Keywords
costumer relation management; business to business sales prediction; machine learning; predictive modeling; microsoft azure machine-learning service;All these keywords.
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