Advanced Analytics is not just for data scientists anymore. Many businesses adopt their analytics by degree of complexity, limiting business professionals to reporting and dashboard views of their business. But recent research has found that with modern tools and techniques it is of much higher value to adopt the analytic capability needed where needed, enabling […]
Successful predictive analytic projects follow a well-defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that improve business performance. In this live webinar, James Taylor, CEO and Principal Consultant at Decision Management Solutions and Matt Kitching, Senior Data Scientist at Apption, an award winning analytics consulting company, discuss […]
One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT, and analytics teams. A decision requirements model makes it clear how to best leverage analytics.
Drools is a technically strong, high performance BRMS. But many organizations trying to engage their business users in maintaining and updating rules find there are challenges in requirements gathering, implementation, and navigation. In this webinar, you will learn why decision modeling with DMN addresses these challenges, making it easier for business users to fully participate.
Learn how to get started quickly with decision modeling with DMN for success with selecting and adopting analytic capabilities for your organization. Organizations today are turning to analytic capabilities to drive decision-making. With the growing focus on using analytics to improve decision-making, it makes sense to select analytic capabilities in a decision-led way.
The landscape of process modeling has evolved, as have the best practices. The Decision Model and Notation (DMN) is an evolution of Business Process Model and Notation (BPMN) 2.0 into an even more powerful and capable tool set.