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Recipients of the Young Statisticians Award

2007 Nadine Henkenjohann
2006 Peter Goos
2005 Jesus Palomo and Jeroen de Mast

Young statistician award 2007: Nadine Henkenjohann

Scoring - Predicting Customer Behaviour

Nadine Henkenjohann, informa, arvato systems

Abstract: Facing global markets, for companies the requirement of an efficient customer relationship management (CRM) increases. In analytical CRM, scoring is the most popular tool to predict customers behaviour and has also become an important tool in finance - especially since the new Basel II regulations are mandatory for all institutes in Europe since the beginning of this year. In this talk a brief introduction to scoring is given, in which fields scoring is employed and what goals can be achieved using it. Furthermore, scorecard development issues are considered which are necessary to guarantee a successful implementation.

Curriculum Vitæ

  • 2003-2006: Research at the department of statistics, Dortmund University, Germany:
  • Multidisciplinary research in cooperation with the departments of mechanical engineering and computer sciences (emphasis on multivariate optimization methods, design of experiments, computer experiments)
  • Consulting services in the domain of experimental design
  • Undergraduate mentoring/supervisor
  • Sep. 2004: Award for best presentation, 5th ENBIS Conference, Newcastle
  • Sep. 2006: Elected as a two-year council member of the ENBIS
  • Feb. 2007: PhD Thesis: An adaptive sequential procedure for an efficient optimisation of the CNC Metal Spinning Process
  • Since Jan. 2007: Analytical Consultant, informa Unternehmenberatung, arvato infoscore, Baden-Baden, Germany.

References:

  • Mehnen, J. Michelitsch, T., Bart-Beielestein, T. Henkenjohann, N. (2004): Sytematic Analyses of Multi-Objective Evolutionary Algorithms Applied to Real-World Problems Using Statistical Design of Experimnts, Proceeding of the 4th CIRP International Seminar on Intelligent Computaion in Maufacturing Engineering, Ischia, Italy, Teti, R. (ed.), 171-178.
  • Weiner, K., Mehnen, J., Webber, O. Henkenjohann, N. (2004): Optimization of the Surface Grinding Process by Means of Modern Methods of Statistical Design of Experiments, Production Engineering Research and Development, Annals of the German Academic Society for Production Engineering WGP, XI/1,49-54.
  • Göel, R., Kleiner, M., Henkenjohann, N. (2005): New Approach for Process Planning and Optimization in Sheet Metal Spinning, Advanced Material Research, 6-8, 493-500.
  • Henkenjohann, N., Göel, R., Kleiner, M, Kunert, J. (2005): An Adaptive Sequential Procedure for Efficient Optimization of the Sheet Metal Spinning Process, Quality and Reliability Engineering International (Special Issue), 21, 439-455.
  • Kleiner, M., Ewers, R., Henkenjohann, N. (2006): Process Design and Optimization in Sheet Metal Spinning, Annals of the German Academic Society for Production Engineering WGP, XIII/1.
  • Henkenjohann, N, Kunert, J. (2007): An efficient sequential optimization approach based on the multivariate expected improvement criterion, Quality Engineering (Special Issue), to appear.