Decision support, analytics, and business intelligence /

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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:
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

MARC

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250 |a Third edition. 
264 1 |a New York, New York (222 East 46th Street, New York, NY 10017) :  |b Business Expert Press,  |c 2017. 
300 |a 1 online resource (xiii, 178 pages) 
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490 1 |a Information systems collection,  |x 2156-6593 
504 |a Includes bibliographical references (pages 163-176) and index. 
505 0 |a 1. Modern decision support -- 2. Decision support concepts -- 3. Recognizing types of decision support -- 4. Using big data for decision support -- 5. Business intelligence and data-driven DSS -- 6. Predictive analytics and model-driven decision support -- 7. Decision support benefits and trade-offs -- 8. Identifying decision support opportunities -- List of questions with links to answers -- Glossary -- Notes -- Bibliography -- Index. 
506 |a Access restricted to authorized users and institutions. 
520 3 |a 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. 
530 |a Also available in print. 
538 |a System requirements: Adobe Acrobat reader. 
588 |a Title from PDF title page (viewed on June 30, 2017). 
650 0 |a Decision support systems.  |0 http://id.loc.gov/authorities/subjects/sh86006549 
653 |a analytics 
653 |a basic concepts 
653 |a big data 
653 |a business applications 
653 |a business intelligence 
653 |a computerized support 
653 |a decision making 
653 |a decision support systems 
653 |a decision support 
653 |a innovative DSS 
653 |a knowledge management 
653 |a knowledge 
653 |a types of decision support 
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