A Service Oriented Architecture Supporting Data Interoperability for Payments Card Processing Systems

  • Joseph M. Bugajski
  • Robert L. Grossman
  • Steve Vejcik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4294)


As the size of an organization grows, so does the tension between a centralized system for the management of data, metadata, derived data, and business intelligence and a distributed system. With a centralized system, it is easier to maintain the consistency, accuracy, and timeliness of data. On the other hand with a distributed system, different units and divisions can more easily customize systems and more quickly introduce new products and services. By data interoperability, we mean the ability of a distributed organization to work with distributed data consistently, accurately and in a timely fashion. In this paper, we introduce a service oriented approach to analytics and describe how this is used to measure and to monitor data interoperability.


data quality data interoperability service oriented architectures for analytics payments card processing systems 


  1. 1.
    Bugajski, J., Grossman, R., Sumner, E., Zhang, T.: A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems. In: 10th International Conference on Information Quality, ICIQ (2005)Google Scholar
  2. 2.
    Data Mining Group, June 10 (2006) retrieved from,
  3. 3.
    Data Mining Group, PMML 3.1 - Baseline Model, RFC Version 5.2.7, June 10 (2006) retrieved from,
  4. 4.
    Gokhale, A., Kumar, B., Sahuguet, A.: Reinventing the Wheel? CORBA vs. Web Services. In: The Eleventh International World Wide Web Conference, June 20 (2003), retrieved from,
  5. 5.
    Web Services Interoperability Organization, June 20 (2003) retrieved from,

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Joseph M. Bugajski
    • 1
  • Robert L. Grossman
    • 2
  • Steve Vejcik
    • 2
  1. 1.Visa InternationalFoster CityUSA
  2. 2.Open Data GroupRiver ForestUSA

Personalised recommendations