BUSINESS INTELLIGENCE AND ANALYTICS

RAMESH SHARDA

DURSUN DELEN

EFRAIM TURBAN

TENTH EDITION

BUSINESS INTELLIGENCE

AND ANALYTICS:

SYSTEMS FOR DECISION SUPPORT

Ramesh Sharda

Oklahoma State University

Dursun Delen

Oklahoma State University

Efraim Turban

University of Hawaii

With contributions by

J.E.Aronson

Tbe University of Georgia

Ting-Peng Liang

National Sun Yat-sen University

David King

]DA Software Group, Inc.

PEARSON

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Editor in Chief: Stephanie Wall Executive Editor: Bob Horan Program Manager Team Lead: Ashley Santora Program Manager: Denise Vaughn Executive Marketing Manager: Anne Fahlgren Project Manager Team Lead: Judy Leale Project Manager: Tom Benfatti Operations Specialist: Michelle Klein Creative Director: Jayne ConteResearch: Automated Decision Systems.

Background: As noted by Turban (2015), a relatively new approach to supporting decision making is called Automated Decision Systems (ADS), sometimes also known as Decision Automation Systems (DAS, see Davenport and Harris, 2005). An ADS is a ruled-based systems that provide a solution, usually in one functional area (e.g., finance, manufacturing), to a specific repetitive managerial problem, usually in one industry (e.g., to approve or not to approve a request for a loan, to determine the price of an item in a store)

Reference: Sharda, R., Delen, Dursun, Turban, E., Aronson, J. E., Liang, T-P., & King, D. (2015). Business Intelligence and Analytics: Systems for Decision Support. 10th Edition. By PEARSON Education. Inc.
ISBN-13: 978-0-13-305090-5

Assignment: Go to pages 471 to 475 and familiarize yourself with the contents therein. Go ahead and define

1)what decision automation systems means,

2)mention the key components of a DAS, and which industries are the big users of DAS, and finally, how could DAS assist consumers.

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