Amazon cover image
Image from Amazon.com

Decision support, analytics, and business intelligence / Daniel J. Power and Ciara Heavin.

By: Contributor(s): Material type: TextTextSeries: Information systems collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2017.]Edition: Third editionDescription: 1 online resource (xiii, 178 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781631573927
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleLOC classification:
  • T58.62
Online resources: Available additional physical forms:
Contents:
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.
Abstract: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE T58.62 (Browse shelf(Opens below)) Link to resource Available BEP11394964
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library Non-fiction T58.62 (Browse shelf(Opens below)) Link to resource Available 11394964

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.

Access restricted to authorized users and institutions.

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.

COPYRIGHT NOT covered - Click this link to request copyright permission:

https://lib.ciu.edu/copyright-request-form

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Title from PDF title page (viewed on June 30, 2017).

There are no comments on this title.

to post a comment.