In our latest white paper, we explore the tools and techniques needed for scoping and managing business rules projects. The decision management approach to business rules begins by looking at business performance drivers, identifying the decisions that are impacting them, then analyzing what decisions will have the biggest return.
Decision modeling is the proven requirements gathering and documentation approach that bridges the gap — between business process, business rules, and artificial intelligence (AI), machine learning, and predictive analytics technologies — for true Digital Decisioning.
AI is a decision-making technology. A focus on decisions, not a separate AI initiative, delivers business value and a strong ROI. As companies invest in artificial intelligence (AI) and machine learning, it is clear that a technology-led approach does not work. To get business value from AI, companies should focus AI efforts on improving business […]
Decision Management streamlines and focuses business rules projects for faster, more effective deployment. Business Rules Management Systems (BRMS) deliver on the promise of costs savings, agility and happy customers. Yet for many organizations, these efforts remain point solutions. Decision Management is a proven framework to drive the widespread adoption of business rules and improved business […]
Decision Requirements Models based on the Decision Model and Notation (DMN) standard deliver a powerful ROI by improving processes, effectively managing business rules projects, framing predictive analytics efforts, and ensuring decision support systems and dashboards are action-oriented. This paper describes the iterative steps to develop and complete an effective Decision Requirements Model using the DMN […]
How to achieve analytical, data-driven decisions with decision modeling and the Decision Model and Notation (DMN) standard. The value proposition of analytics is almost always to improve decision-making. Being explicit about the decision-making to be improved is an effective tool for framing analytic requirements. Organizations are making significant investments in analytic technologies. These investments range […]
In this firsthand account, Timo Laukkanen, Process Director at the Finnish Tax Administration (FTA), describes how decision modeling has filled the gap between process models and business rules in the most extensive project ever undertaken by the FTA. Decision modeling was quick to implement and has made it easier to evaluate rules, to view the […]
Organizations are optimizing their operations with decision modeling, creating a streamlined and more agile business. Decision-led process innovation results in: Operational efficiency Agility Business-IT alignment Leading organizations are adopting decision modeling with the Decision Model and Notation (DMN) standard to improve operational efficiency, agility and business-IT alignment. Decision modeling gives enterprise architects and business process analysts […]
Decision Management delivers next generation claims systems that act immediately, increase agility, consistency and accuracy, improve customer satisfaction, speed response and reduce costs. Insurers can achieve significant speed-to-market gains, reduce fraud and create innovative new claims processes. Today’s insurance claims systems deliver value to insurers by increasing efficiency through business process automation and workflow. The […]
How Decision Modeling and Business Rules Meet Key Challenges in Financial Compliance Decision modeling and business rules are a powerful combination for agile and cost effective regulatory compliance. Decision modeling gives business rules architects and analysts a standard way of graphically representing precise business meaning that is easy for the business to understand and doesn’t require […]