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Chapter 1  •  An Overview of Business Intelligence, Analytics, and Decision Support   61

                    part iv: prescriptive analytics
                    Part IV introduces decision analytic techniques, which are also called prescriptive analyt-
                    ics. Specifically, Chapter 9 covers selected models that may be implemented in spread-
                    sheet environments. It also covers a popular multi-objective decision technique—analytic
                    hierarchy processes.
                        Chapter 10 then introduces other model-based decision-making techniques, espe-
                    cially heuristic models and simulation. Chapter 11 introduces automated decision  systems
                    including expert systems. This part concludes with a brief discussion of knowledge
                      management and group support systems in Chapter 12.

                    part v: Big data and Future directions for Business analytics
                    Part V begins with a more detailed coverage of Big Data and analytics in Chapter 13.
                        Chapter 14 attempts to integrate all the material covered in this book and
                      concludes with a discussion of emerging trends, such as how the ubiquity of wire-
                    less and GPS devices and other sensors is resulting in the creation of massive new
                    databases and unique applications. A new breed of data mining and BI companies is
                    emerging to analyze these new databases and create a much better and deeper under-
                    standing of customers’ behaviors and movements. The chapter also covers cloud-based
                    analytics, recommendation systems, and a brief discussion of security/privacy dimen-
                    sions of analytics. It concludes the book by also presenting a discussion of the analytics
                    ecosystem. An understanding of the ecosystem and the various players in the analytics
                    industry highlights the various career opportunities for students and practitioners of
                    analytics.


                    1.11   resourCes, links, and the teradata university
                           netWork ConneCtion
                    The use of this chapter and most other chapters in this book can be enhanced by the tools
                    described in the following sections.
                    resources and links

                    We recommend the following major resources and links:
                       • The Data Warehousing Institute (tdwi.org)
                       • Information Management (information-management.com)
                       • DSS Resources (dssresources.com)
                       • Microsoft Enterprise Consortium (enterprise.waltoncollege.uark.edu/mec.asp)

                    vendors, products, and demos

                    Most vendors provide software demos of their products and applications. Information
                    about products, architecture, and software is available at dssresources.com.

                    periodicals
                    We recommend the following periodicals:

                       • Decision Support Systems
                       • CIO Insight (cioinsight.com)
                       • Technology Evaluation (technologyevaluation.com)
                       • Baseline Magazine (baselinemag.com)









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