Whitepapers Tagged: Decision Management

Agility and Efficiency with Decision Modeling

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.

How to Succeed with AI

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 […]

Innovation in Insurance: Profit by Focusing Innovation on Decision-Making

The most important decisions are made every day. Insurers that adopt a decision-centric approach to analytics and artificial intelligence are improving business outcomes. Setting the stage There has been a level of frustration and insecurity in the past few years about the fate of the insurance industry. At first, vendors and other service providers raised […]

Maximizing the Value of Business Rules

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 Modeling with DMN

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 […]

5 Steps to Streamline Reporting for Better Data-Driven Decisions

Everyone wants to make better data-driven decisions. While reporting can support decision making, often existing reporting approaches seem more likely to get in the way, bogging down progress toward analytic decision-making. Take these 5 steps to streamline reporting and focus on decision-making. Find out what decisions the reports are for See what decisions matter to […]

Framing Analytic Requirements with Decision Modeling

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 […]

Putting Predictive Analytics To Work in Operations

Small operational decisions, especially those about customers, are made over and over. The value of these decisions rapidly adds up. Making these decisions well is critical to business performance.  Maximizing the value of each operational decision is at the core of Decision Management. Because these decisions about customers are made at the front line of an […]

Decision Modeling for Dashboard Projects

Decision modeling provides a formal framework to design dashboards that link explicit decision making to the knowledge required for them. Dashboards are decision support systems but their design does not usually consider decisions. Most designs are driven by user interface and information visualization requirements and by the underlying data models. A dashboard design based on […]

Enterprise Architecture from Agile to Analytic

Decision Management Systems combine business rules and advanced analytics technologies to deliver an agile, adaptive and analytic enterprise architecture. Enterprise Architects are chartered with fitting business rules and analytic technologies like data mining and predictive analytics into their enterprise architecture. A service-oriented platform and architecture, supported by integration and data management technology does not have […]