I am giving a webinar for the International Institute of Business Analysis on “Integrating Decision Modeling into your Requirements Process,” January 15 at 11am ET/8am PT [Note new date]
A new generation of agile and analytic systems is delivering more accurate, more automated and more analytical decision-making to companies and organizations. Delivering consistent, and consistently excellent, decisions across channels and over time, these systems support the mobile, self-service and multi-channel reality of today’s social and mobile consumer. These decision management systems put Big Data and analytics to work while delivering increased business transparency and agility. Built on proven technologies like business rules and predictive analytics, decision management systems deliver a high ROI by better managing risk, detecting more fraud and improving interactions with customers, suppliers and more.
Yet traditional requirements approaches neglect decision-making. Existing techniques provide too little support for defining advanced analytic requirements. Business process and use case-based approaches tend to leave decision making as “black boxes” while focusing on business rules too early creates unnecessary complexity. New approaches for decision modeling are addressing these limitations. With a new standard now in beta and with decision modeling heading for BABOK® Guide v3, its time for business analysts to add decision modeling to their toolbox.
Key learning points:
- Embedding decision-making in systems is becoming increasingly critical and mainstream
- Traditional requirements approaches don’t handle decision-making well
- The new standards-based approach to decision modeling is emerging as a key technique