Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions.
- Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services
- Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions
- Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram
- Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit
Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Keywords: Strategic Management, Alan Fish, Business process automation, business process redesign, business process reengineering, decision service, service oriented architecture, business rules, predictive analytics, business rules engine, business rules management system, decision management, requirements definition, rules discovery, methodology, decision management, decision model, project management