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Quality Technology & Quantitative Management Volume 12, 2015 - Issue 1
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Original Articles

All Models are Wrong but Some are Useful: the Use of Predictive Analytics in Direct Marketing

Barry LeventhalBarryAnalytics Limited, London, UKCorrespondence[email protected]
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Pages 93-104 | Received 01 Sep 2013, Accepted 01 Feb 2014, Published online: 09 Feb 2016

References

  • Box, G. E. P., and Draper, N. R. (1987). Empirical Model Building and Response Surfaces, John Wiley & Sons, New York.
  • Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R. (2000). CRISP-DM 1.0 Step-by-step data mining guide. Available from: http://www.the-modeling-agency.com/crisp-dm.pdf.
  • Fawcett, T. (2004). ROC Graphs: Notes and Practical Considerations for Researchers. Tech Report HPL-2003–4, HP Laboratories. Available: http://binf.gmu.edu/mmasso/ROC101.pdf.
  • Franks, B. (2012). Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics, John Wiley & Sons, Hoboken, New Jersey.
  • Journal of Applied Marketing Analytics, published by Henry Stewart Publications.
  • Journal of Direct, Data and Digital Marketing Practice, published by Palgrave Macmillan.
  • Journal of Financial Services Marketing, published by Palgrave Macmillan.
  • Journal of Marketing Analytics, published by Palgrave Macmillan.
  • Kashner, J. and Zaima, A. (2007). A data mining primer for the data warehouse professional. The Data Administration Newsletter. Available: http://www.tdan.com/view-articles/5827
  • KDnuggets, website: http://www.kdnuggets.com/.
  • McCorkell, G. and Holder, D. (2006). What do we mean by direct, data and digital marketing? The IDM Marketing Guide, 1, 1.1-1-1.1.34, Institute of Direct Marketing, Teddington, UK.
  • McKinsey, (2011). Big Data: The Next Frontier for Innovation, Competition and Productivity, McKinsey Global Institute. Available: http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation.
  • Randolph, J. J. and Edmondson, R. S. (2005). Using the Binomial effect size display (BESD) to present the magnitude of effect sizes to the evaluation audience. Practical Assessment, Research & Evaluation, 10(14), 1–7.
  • Vuk, M. and Curk, T. (2006). ROC curve, lift chart and calibration plot. Metodoloski zvezki, 3(1), 89–108.
  • Webber, R. (2013). The evolution of direct, data and digital marketing. Journal of Direct, Data and Digital Marketing Practice, 14, 291–309.

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