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Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. The 8th and final chapter examines the continuing impacts technological developments will exert on DSS. The author compares two types of evaluation activities - formative vs. summative evaluation - to be carried out during and after completing a project. The potential ethical issues associated with building and using DSS, the role of project champion, and the expectations in next-generation decision support are also explored

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. The first chapter introduces modern decision support, a broad concept that prescribes using computerized systems and tools to assist in individual, group, and organizational decision-making. The chapter covers the need for decision support, the technical skills and knowledge needed by managers, and provides a historical perspective on decision support. The characteristics of modern DSS are also addressed.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 2 defines fundamental decision support concepts and associated terminologies. The primary goal of the chapter is to examine the purposes, technologies, and targeted users of DSS, analytics systems, business intelligence, and knowledge management.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. In Chapter 3, the author examines the decision support spectrum, including decision automation, five types of decision support systems, basic characteristics of DSS, and computer-supported special studies. A modern, systematic decision support framework that can help better describe decision support needs is summarized

Abstract (Maximum of 2,000 Characters): Briefly describes content of case. Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 4 examines a specific category of DSS: business intelligence and data-driven DSS. The chapter addresses data warehousing, key considerations for evaluating a BI data-driven decision support proposal, and best practices for BI reports. Introduction to SQL, pivot tables, and parallel databases are provided.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 5 focuses on predictive analytics and model-driven DSS. Analytic applications - broad sets of model-driven information systems - are discussed, as is analytical processing, or quantitatively transforming and summarizing relevant data. The tools and applications used for spreadsheet-based DSS, such as Microsoft Excel, are clarified. Sensitivity and "What If?" analyses are compared. Last, the role played by computer-driven simulations, which imitate the behavior of a human or physical system, is addressed

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. In Chapter 6, the author reviews the benefits and disadvantages of computerized decision support. Nine potential benefits and advantages of DSS are explored, as are claims that some systems provide a competitive advantage. Substitutions for computerized decision support and their applications are then reviewed. The final section examines the potential disadvantages of building and using DSS.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 7 discusses the search, planning, and implementation processes associated with DSS. The auditing decision process is clarified and the content of a feasibility study examined. Concerns surrounding the reengineering of internal systems are explored. The factors influencing DSS implementation risks, and the trade-offs of outsourcing enterprise-wide DSS, are also discussed.