Decision support, analytics, and business intelligence /

Decision support, analytics, and business intelligence /

Saved in:

Bibliographic Details
Author / Creator:	Power, Daniel J., author.
Edition:	Third edition.
Imprint:	New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2017.
Description:	1 online resource (xiii, 178 pages)
Language:	English
Series:	Information systems collection, 2156-6593 Information systems collection.
Subject:	Decision support systems. Decision support systems. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11386264

Hidden Bibliographic Details
Other authors / contributors:	Heavin, Ciara, author.
ISBN:	9781631573927 9781631573910
Notes:	Includes bibliographical references (pages 163-176) and index. Access restricted to authorized users and institutions. Also available in print. System requirements: Adobe Acrobat reader. Title from PDF title page (viewed on June 30, 2017).
Summary:	The rapidly changing nature of technology is impacting organizations large and small. New phenomena such as mobile, cloud, Internet of Things (IoT), and "Big Data" are driving forces in organizational digital transformation. Subsequently, decision support and decision support systems are no longer specific to senior management. Increasingly computerized decision support, in the form of data analytics and business intelligence, is available to knowledge workers across the business. Today business professionals need to learn about and understand computerized decision support. For organizations to succeed, a business-first approach is essential. This means that the business opportunity/problem is well understood and the most appropriate computerized decision support technology is obtained. This introductory text is targeted to busy managers and MBA students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is "Big Data"? What are the "Big Data" business use cases? Overall this resource addresses 61 fundamental questions relevant to understanding the rapidly changing realm of computerized decision support and analytics. In a short period of time, readers can "get up to speed" on decision support, analytics, and business intelligence. The text then provides a quick reference to important recurring questions.
Other form:	Print version: 9781631573910

Description
Summary:	Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and "Big Data" are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is "Big Data"? What are "Big Data" business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can "get up to speed" on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions.
Physical Description:	1 online resource (xiii, 178 pages)
Format:	System requirements: Adobe Acrobat reader.
Bibliography:	Includes bibliographical references (pages 163-176) and index.
ISBN:	9781631573927 9781631573910
ISSN:	2156-6593
Access:	Access restricted to authorized users and institutions.