Book Description
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.
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.
Table of Contents
- Cover
- Series
- Title Page
- Copyright
- Dedication
- Foreword
- Preface
- Acknowledgments
- CHAPTER ONE: The Value of Knowledge
- CHAPTER TWO: Decisions in the Business Process
- CHAPTER THREE: Encapsulating Knowledge in Decision Services
- CHAPTER FOUR: Decision Requirements Analysis
- CHAPTER FIVE: Using DRA in Knowledge Automation Projects
- CHAPTER SIX: Common Decision Patterns
- Conclusion
- Glossary
- Suggested Reading
- About the Author
- Index