Next Session December 4th, 5th and 6th, 2018
Three 2-hour sessions with homework.
12:30 pm – 2:30 pm ET
This is live training. Recorded sessions are sent out on the day of each session if you miss a session or want to want to review the session. For those working in time zones where attending is outside of working hours, a separate work session to go over homework can be scheduled.
Decision modeling with the Decision Model and Notation (DMN) standard is fast becoming the definitive approach for sustained business engagement, improved traceability and flexible and analytic enterprise applications.
With decision modeling, you can:
- Re-use, evolve, and manage business rules.
- Effectively frame the requirements for analytic projects.
- Streamline reporting requests.
- Define analytically driven performance dashboards.
- Optimize and simplify business processes.
This 3-part online live training class taught by leading expert James Taylor, CEO of Decision Management Solutions, will prepare you to be immediately effective in a modern, collaborative, and standards-based approach to decision modeling.
You will learn how to identify and prioritize the decisions that drive your success, see how to analyze and model these decisions, and understand the role these decisions play in delivering more powerful information systems.
Each step is supported by interactive decision modeling work sessions focused on problems that reinforce key points. All the decision modeling and notation in the class is based on the DMN standard, future-proofing your investment in decision modeling. Decision modeling is also a Technique in V3 of the BABOK® Guide by the International Institute of Business Analysis (IIBA).
- Decision Modeling Basics
- Introduction to Decision Model and Notation
- Core elements of decision models
- Essential Decision Properties
- Decision Requirements Modeling
- Modeling Decision Requirements
- Elicitation, Verification and Completion
- Additional Decision Properties
- Applying Decision Modeling
- Business Rules and Decision Modeling
- Analytics and Decision Modeling
- Driving the Requirements Process with Decision Modeling
- Getting started and next steps
Next Session December 4,5,6 2018
Three 2-hour sessions with homework.
12:30 pm – 2:30 pm ET
Save 10-15% when registering multiple participants.
Contact us for IIBA Member discounts or for teams of 3 or more.
- Live Session: This is live training. Recorded sessions will be available to registrants on the day of each session.
- Decision Modeling Software: It is recommended that participants use a decision modeling software for the exercises, but other diagramming software or paper and pencil can also be used. The course examples will be in a class installation of DecisionsFirst Modeler. Use of DecisionsFirst Modeler is optional, attendees can use other diagramming or modeling tools for the course exercises. The techniques taught are equally applicable.
- DecisionsFirst Modeler: All participants receive a free trial of the software. DecisionsFirst Modeler supported browsers are Internet Explorer (Windows) and the SeaMonkey-Project browser based on Mozilla (Apple) and requires the Microsoft Silverlight plugin. See this support article for details.
- Cancellation Policy: Registrations may be canceled up to 48 hours in advance of the first class. A 15% administrative fee will be retained if you choose to cancel. To cancel, please contact us.
- Technology Check: The class will be conducted in Adobe Connect, a Flash-based environment. Please test your environment beforehand at https://admin.acrobat.com/common/help/en/support/meeting_test.htm. We will use chat and Q&A to communicate in the class but it is also helpful if we are able to have audio interactions. For audio interaction you need a microphone or headset connected to your computer and you need to have downloaded the Adobe Connect Add-in from the test URL above.
- Audio: Audio plays through your computer speakers. Please have a microphone or headset available for your computer so you can interact during the class. You will be able to type questions and comments, but a headset or microphone allows for more interactivity.
- If for any reason the class cannot take place as scheduled, you will be offered alternative training dates at the same price.
Quotes from Attendees
- “Instead of beginning with the data, I now know to start with what decision I am trying to make.”
- “The course really helped me understand how decision modeling ties together business process, business rules and predictive analytics.”
- “Immediately useful.”
- “Decision modeling would have been invaluable in many past projects, saving significant time.”
- “Even simple decision requirements diagrams quickly bring clarity and focus to analytic problems.”
- “James does a good job of explaining complex concepts in an easy and clear manner. I can relate and apply the concepts directly to my job.”
- “Appreciated real examples and discussions – well done! Thank you!”
Who Should Attend
- Data Analysts working on BI and other analytics projects.
- Data Scientists developing analytic models.
- Business Analysts tasked with developing requirements.
- Managers responsible for working with business rules and analytic technologies.
- Business owners looking to make their business applications and reporting more agile and adaptable.
- Subject Matter Experts responsible for documenting business rules.
- Enterprise and Technical Architects developing business architecture models.
- Technology experts who wish to build systems and processes that fully leverage the capabilities of business rules and related analytic technologies.
About the Instructor
James is the CEO of Decision Management Solutions. James is passionate about helping organizations use decision management and decision modeling to improve business requirements for agile, analytic, and adaptive business processes and systems. James has spent the last 20 years developing approaches, tools, and platforms that others can use to build more effective information systems. He has led Decision Management efforts for leading companies in insurance, banking, health management, manufacturing, travel, and telecommunications.