On optimizing the selection of business transformation projects

  • Authors:
  • N. Abe;R. Akkiraju;S. Buckley;M. Ettl;P. Huang;D. Subramanian;F. Tipu

  • Affiliations:
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Hawthorne, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • IBM Systems Journal
  • Year:
  • 2007

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Abstract

To compete and thrive in a changing business environment, a business can adapt by initiating and successfully carrying out business transformation projects. In this paper we propose a methodology for the optimal selection of such transformational projects. We propose a two-stage methodology based on (1) correlation analytics for identifying key drivers of business performance and (2) advanced portfolio-optimization techniques for selecting optimal business-transformation portfolios in the face of resource constraints, budget constraints, and a rich variety of business rules. We illustrate our methodology through a case study from the electronics industry.