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 processes and so reduce costs and increase business agility by externalizing decisions from them.
Increase straight through processing and so reduce costs by applying decision management technologies to automate decisions.
Increase the speed and accuracy of tactical and managerial decision-making through decision modeling and improved decision support systems.
Use analytics to eliminate “one size doesn’t really fi
Decision Modeling is a new Technique in v3 of the BABOK(r) Guide. It’s also become a key element of the Business Intelligence and Business Process Management Perspectives. In this session James Taylor will introduce Decision Modeling as a technique (following the new Decision Model and Notation standard), show how modeling decisions can improve business analysis and requirements specification, and discuss the role of decision modeling in business process, business rules, business intelligence and analytic projects.
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 […]
The Decision Model and Notation (DMN) is a standard for decision modeling in the process of being adopted by the Object Management Group. It provides a graphical notation for specifying decisions so that decision making can be modeled separately from business processes. DMN allows both technical users and business users to describe, model and manage decision-making by providing a notation that is intuitive to business users yet able to represent complex decision making. The DMN specification also provides a mapping between the graphics of the notation to the underlying constructs of execution environments such as business rules management systems and predictive analy
Posted By: James Taylor | Posted On: 21st May 2014 |
Live Training as part of Brainstorm San Francisco
The Decision Model and Notation (DMN) is a standard for decision modeling in the process of being adopted by the Object Management Group. It provides a graphical notation for specifying decisions so that decision making can be modeled separately from business processes. DMN allows both technical users and business users to describe, model and manage decision-making by providing a notation that is intuitive to business users yet able to represent complex decision making. The DMN specification also provides a mapping between the graphics of the notation to the underlying constructs of execution environments such as business rules management systems and predictive analytic environments.
The primary goal of DMN is to provide a standard notation that is readily understandable by all business stakeholders. These business stakeholders include the business analysts wh
Posted By: James Taylor | Posted On: 20th May 2014 |
Some time back I participated in a large group of practitioners working on a new version of A Guide to the Business Analysis Body of Knowledge® . After months of consolidating feedback and updating this (vry thorough) document, the IIBA has announced a public review of version 3. As their own newsletter says:
You can review the entire document or focus only on your areas of expertise and provide your feedback to the international, volunteer Core Team. Be sure to forward this email to your colleagues and friends in the Business Analyst profession and encourage them to participate. The more people from more countries, industries and companies of all sizes who contribute, the stronger this version of the BABOK® Guide will be!
[IIBA has] implemented a new Feedback Collector that makes it easy to submit suggestions, propose edits and provide feedback. To learn how to us
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: 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