A proven decision management methodology for increased profits and lowered risks
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.
Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Knowledge Automation: How to Implement Decision Management in Business Processes| Alan N. Fish (Author), James Taylor (Foreword)| Wiley
Table of Contents
CHAPTER 1. The Value of Knowledge
The economics of knowledge, The knowledgeable business, Notes.
CHAPTER 2. Decisions in the Business Process
Business process modelling, Decision points and decision services, Redesigning process decisions, Originations process template, Approaches to process design, Notes.
CHAPTER 3. Encapsulating Knowledge in Decision Services
Business rules, Algorithms, Predictive analytics, Putting it all together, Notes.
CHAPTER 4. Decision Requirements Analysis
Principles, Decision requirements diagram, Draw, Notes.
CHAPTER 5. Using DRA in Knowledge Automation Projects
DRA in project management, DRA in knowledge discovery, DRA in design, DRA in implementation, The knowledge production line, Notes.
CHAPTER 6. Common Decision Patterns
Implementation types, Collaborative decision-making.
Conclusion
Glossary
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