Regulation-Based Dimensional Modeling for Regulatory Intelligence

Regulations are a source of evolving requirements for products and organizations. As regulatory institutions shift towards outcome-based regulations, they increasingly adopt legislation performance modeling, at the basis of regulatory intelligence. In this context, performance modeling refers to the measuring of important business aspects in a coordinated manner and the use of these measurements for improved decision making. Considering that in many cases regulatory texts already exist, it is necessary to build a performance model based on existing regulations that may be still prescriptive rather than outcome-based. The process of turning the underlying textual legislation into a formal performance model that can be assessed by Business Intelligence (BI) tools is complicated due to organizational, cultural, and technological reasons. In this paper, we present a methodology from a technical perspective that enables regulatory institutions to reason about regulations and compliance with regulations as new dimensions. We demonstrate the methodology using traffic law as an example regulation, jUCMNav for performance modeling, and IBM Cognos for BI reporting.