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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…mehr

Produktbeschreibung
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.
Autorenporträt
Daniel J. Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa, Cedar Falls, Iowa and the editor of DSSResources.COM, the Web-based knowledge repository about computerized systems that support decision making, the editor of Planning Skills.COM, and the editor of DSS News, a bi-weekly e-newsletter. Dan writes the column ""Ask Dan!"" in DSS News. Also, Dan is the Decision Support Expert at the Business Intelligence Network.