12. Intelligent Regulatory Compliance

  1. Ron S. Kenett PhD, BSc Chairman CEO Research Professor Professor Associate Director Editor in Chief President4,5 and
  2. Yossi Raanan PhD, BSc Senior Consultant Strategic Partner Senior Lecturer former dean head chairman director6,7
  1. Marcus Spies PhD Senior Consultant Postdoctoral Fellow Professor Chair Scientific and Technical Director1,
  2. Rolf Gubser founding member Senior Consultant2 and
  3. Markus Schacher Senior Consultant specialist member3

Published Online: 19 AUG 2010

DOI: 10.1002/9780470972571.ch12

Operational Risk Management

Operational Risk Management

How to Cite

Spies, M., Gubser, R. and Schacher, M. (2010) Intelligent Regulatory Compliance, in Operational Risk Management (eds R. S. Kenett and Y. Raanan), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470972571.ch12

Editor Information

  1. 4

    KPA Ltd, Raanana, Israel; University of Turin, Italy

  2. 5

    NYU-Poly, Center for Risk Engineering, New York, USA

  3. 6

    KPA Ltd, Raanana, Israel

  4. 7

    College of Management, Academic Studies, Rishon Lezion, Israel

Author Information

  1. 1

    Berlin Technical University, Germany

  2. 2

    NCR and Born Informatik AG, Switzerland

  3. 3

    KnowGravity Inc., Switzerland

Publication History

  1. Published Online: 19 AUG 2010
  2. Published Print: 22 OCT 2010

ISBN Information

Print ISBN: 9780470747483

Online ISBN: 9780470972571

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Keywords:

  • business motivation model (BMM);
  • intelligent regulatory compliance (IRC);
  • model-driven architecture (MDA);
  • object management group (OMG);
  • operational risk management;
  • SBVR;
  • unified modeling language (UML)

Summary

This chapter presents an approach to intelligent regulatory compliance (IRC) in operational risk management. The approach relies on specifications by the Object Management Group (OMG) fostering a holistic view of enterprise resources, processes and performance management under the umbrella of a business motivation model (BMM). An additional model detailing business vocabularies and business rules, Semantics of Business Vocabularies and business Rules (SBVR) allows the definition of the directives, policies and rules of a regulatory framework in a formalized way. It shows that the integrative enterprise modelling approach based on BMM and SBVR is sufficient to set up suitable management processes and business scorecards for enabling intelligent regulatory compliance. The chapter concludes by showing how the next step of implementing IRC with appropriate software components could be reached, using the software engineering methodology advocated by the OMG, namely the model-driven architecture (MDA) together with Unified Modeling Language (UML).

Controlled Vocabulary Terms

business forecasting; statistical measures