Posted By: Meri Gruber | Posted On: 11th June 2014 |
Live Webinar June 25, 2014 9:00 am PDT, 12:00 pm EDT Register here. What opportunities are you looking for to improve your business performance? In this webinar you will learn six opportunities that are readily available when you adopt a decision management approach to business rules and predictive analytics. These are opportunities to: Simplify business […]
Posted By: Meri Gruber | Posted On: 4th June 2014 |
The International Institute of Business Analysis (IIBA) has announced a public review of version 3 of the Business Analysis Body of Knowledge® (BABOK® Guide). This is an exciting release for the Decision Management community. Decision Modeling has been added as a technique using the Decision Model and Notation (DMN) standard. The Business Process Modeling perspective has a solid focus on […]
Posted By: Meri Gruber | Posted On: 28th May 2014 |
Want to learn more about how decision modeling with the new Decision Model Notation (DMN) standard improves and complements existing business analysis techniques? Here is the presentation and recording from today’s webinar. Decision modeling: Specifies decision making in processes and systems. Identifies opportunities for business rules and analytics. Improves collaboration and re-use. You will also […]
Posted By: Meri Gruber | Posted On: 20th May 2014 |
Manifeste de la Gestion de Décisions – the French Translation of The Decision Management Manifesto white paper is now available. Thank you to Emmanuel Bonnet, Directeur du Conseil, Génigraph, for providing the translation. The goal of the Decision Management Manifesto to help organizations like yours design, build and implement decision management systems with business rules and predictive analytics. […]
Posted By: James Taylor | Posted On: 19th May 2014 |
Live Training as part of Brainstorm San Francisco
Decision Management and business rules allow the effective automation of decision-making combined with increased business agility. Adopting decision management and business rules technology improves customer service, enables 1:1 marketing, increases straight through processing and more effectively leverages scarce resources.
This course delivers a proven and standards-based approach to identifying, understanding and automating business decisions. With examples drawn from a variety of industries and use cases, this course emphasizes the modeling of decisions and the importance of managing both decisions and business rules over the long term. In addition the course shows how effective decision management simplifies and improves business processes, explains how business rules management systems add value and outlines multiple approaches for identifying suitable decisions. Decision management and business rules
Posted By: Meri Gruber | Posted On: 15th May 2014 |
Manifiesto de Gestión de Decisiones – the Spanish Translation of The Decision Management Manifesto white paper is now available. Thank you to our Alliance Program Partner Plugtree for providing the translation. The goal of the Decision Management Manifesto to help organizations like yours design, build and implement decision management systems with business rules and predictive analytics. The manifesto […]
Posted By: James Taylor | Posted On: 14th May 2014 |
I attended bpmNEXT a little while ago and gave a demonstration of Decision Modeling for Simpler, Smarter, More Agile Processes. This was a live demonstration of DecisionsFirst Modeler, our collaborative cloud-based environment for decision modeling and showed how the Decision Model and Notation standard works. In addition, I showed how teams can collaborate on these models, how they can link to implementations like business rules, manage automation choices and ensure traceability. Check out the video below or here.
Posted By: James Taylor | Posted On: 9th May 2014 |
SiliconANGLE’s theCUBE broadcast from IBM Impact Conference in Las Vegaslast week. Helming theCUBE desk for IBM Impact were John Furrier and Paul Gillin and on Day 1 they interviewed me on how predictive analytics is stepping front & center in the business world. You can read the post here and the video is embedded below:
Big data makes it hard to scale human interpretation, forces faster and more precise decision making, and puts a premium on advanced analytics. Applying big data analytics requires a clear and direct focus on managing decision making, especially in operations. But most organizations lack an approach that lets them specify their requirements, and their ability to find opportunities for, and successfully use, advanced analytics is limited. This course lays out a framework to identify the op
The right time to make decisions for organizations is increasingly real time. Customers want responses in real time; supply chains must adapt to disruption in real time; fraud must be caught before it gets into the system while self-service and Web applications can’t wait for human intervention. At the same time, organizations have discovered the value of analytic, data-driven decisions. The challenge is to reconcile these demands—to provide real-time, analytic decision making.