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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.
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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.

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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.

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