Callisto: mergers without pain

  • Authors:
  • Huong Morris;Hui Liao;Sriram Padmanabhan;Sriram Srinivasan;Eugene Kawamoto;Phay Lau;Jing Shan;Ryan Wisnesky

  • Affiliations:
  • IBM T. J. Watson Research, Hawthorne, New York and IBM Research;IBM T. J. Watson Research, Hawthorne, New York and IBM Data Management;IBM T. J. Watson Research, Hawthorne, New York and IBM Data Management;IBM T. J. Watson Research, Hawthorne, New York and IBM Data Management;IBM T. J. Watson Research, Hawthorne, New York and University of California, Berkeley;IBM T. J. Watson Research, Hawthorne, New York and San Jose State University;IBM T. J. Watson Research, Hawthorne, New York and Northeastern University;IBM T. J. Watson Research, Hawthorne, New York and Stanford University

  • Venue:
  • BIRTE'06 Proceedings of the 1st international conference on Business intelligence for the real-time enterprises
  • Year:
  • 2006

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Abstract

As value networks evolve, we observe the phenomenon of businesses consolidating through mergers and businesses disaggregating and then virtually "re-merging" dynamically to respond to new opportunities. But these constituent businesses were not built in any standard way, and neither were their IT systems. An example in the industrial sector is the need to merge product and parts catalogs, and selectively share customer data. Companies that merge can spend a year integrating their catalogs, by which its time for the next deal. As such, business object integration has become a key aspect of today's enterprise. In this paper we describe an innovation where, by integrating product data management (PDM) systems that manage business objects into Extract-Transform-Load (ETL) technology, we can provide a novel cross-industry solution which can be used in a variety of industries.