From the article: Abstract Since more and more business rules management solutions are utilized, organizations search for guidance to design such solutions. Principles are often applied to guide the design of information systems in general. Scientific research on principles for business rules management is limited. The purpose of this paper is to specify, classify, and validate design principles that can be applied to guide the design of a business rules management solution. We conducted a three round focus group and three round Delphi Study, which led to the identification of 22 principles. These 22 principles can be clustered into four categories: 1) deep structure principles, 2) physical structure principles, 3) surface structure principles, and 4) organizational structure principles. Our results provide a framework for the design and analysis of business rules management solutions.
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Since an increasing amount of business decision/logic management solutions are utilized, organizations search for guidance to design such solutions. An important aspect of such a solution is the ability to guard the quality of the specified or modified business decisions and underlying business logic to ensure logical soundness. This particular capability is referred to as verification. As an increasing amount of organizations adopt the new Decision Management and Notation (DMN) standard, introduced in September 2015, it is essential that organizations are able to guard the logical soundness of their business decisions and business logic with the help of certain verification capabilities. However, the current knowledge base regarding verification as a capability is not yet researched in relation to the new DMN standard. In this paper, we re-address and - present our earlier work on the identification of 28 verification capabilities applied by the Dutch government [1]. Yet, we extended the previous research with more detailed descriptions of the related literature, findings, and results, which provide a grounded basis from which further, empirical, research on verification capabilities with regards to business decisions and business logic can be explored.
Research, advisory companies, consultants and system integrators all predict that a lot of money will be earned with decision management (business rules, algorithms and analytics). But how can you actually make money with decision management or in other words: Which business models are exactly available? In this article, we present seven business models for decision management.
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