1.

Record Nr.

UNINA9910141318603321

Autore

Fish Alan N

Titolo

Knowledge automation [[electronic resource] ] : how to implement decision management in business processes / / Alan N. Fish

Pubbl/distr/stampa

Hoboken, N.J., : Wiley, c2012

ISBN

1-118-23679-3

1-119-20269-8

1-280-58959-0

9786613619426

1-118-22351-9

Edizione

[1st edition]

Descrizione fisica

1 online resource (202 p.)

Collana

Wiley corporate F&A series

Classificazione

BUS019000

Disciplina

658.4/038011

Soggetti

Information technology

Decision making

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di bibliografia

Includes bibliographical references (p. 167-169) and index.

Nota di contenuto

Knowledge Automation; Contents; Foreword; Preface; Acknowledgments; Chapter 1: The Value of Knowledge; The Economics of Knowledge; The Knowledgeable Business; Notes; Chapter 2: Decisions in the Business Process; Business Process Modeling; 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 DiagramDRAW; 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; Suggested Reading; About the Author; Index

Sommario/riassunto

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-bus