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Business Intelligence and Analytics: Systems for Decision Support, Global Edition (10e)

by: Efraim Turban, Ramesh Sharda, Dursun Delen

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Retail Price: $129.95

Publisher: PEARSON EDUCATION AU,28.02.14

Category: Business Information Systems Level:

ISBN: 1292009209
ISBN13: 9781292009209

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Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems.

Decision Support and Business Intelligence Systems 10e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.

The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book. In addition to traditional decision support applications, this edition expands the reader's understanding of the various types of analytics by providing examples, products, services, and exercises by discussing Web-related issues throughout the text.

NEW TO THIS EDITION
New Organization. The book is now organized around three types of analytics: descriptive, predictive, and prescriptive, a classification promoted by INFORMS. After introducing the topics of DSS/BI and analytics in Chapter 1 and covering the foundations of decision-making and decision support in Chapter 2, the book begins with an overview of Data Warehousing and data foundations in Chapter 3. This part then covers descriptive or reporting analytics, specifically, visualization and business performance measurement. Chapters 5-8 cover predictive analytics. Chapters 9-12 cover prescriptive and decision analytics as well as other decision support systems. Some of the coverage from Chapter 3-4 in previous editions will now be found in the new Chapters 9 and 10. Chapter 13 introduces big data and analytics. The book concludes with emerging trends and topics in business analytics including location intelligence, mobile computing, cloud-based analytics, and privacy/ethical considerations in analytics. This chapter also includes an overview of the analytics ecosystem to help the user explore all of the different ways one can participate and grow in the analytics environment. Thus the book marks a significant departure from the earlier editions in the organization. Of course, it is still possible to teach a course with a traditional DSS focus with this book by covering Chapter 1-4 and chapter 9-12 and possibly 14.
New chapters. The following chapters have been added:
Chapter 8, "Web Analytics, Web Mining & Social Analytics" covers the popular topics of web analytics and social media analytics. It is an almost entirely new chapter. [95% new material]
Chapter 13, "Big Data & Analytics" introduces the hot topics of big data and analytics. It covers the basics of major components of big data techniques and characteristics. It is also a new chapter. [99% new material]
Chapter 14, "Business Analytics: Emerging Trends and Future Direction" examines several new phenomena that are already changing or are likely to change analytics. It includes coverage of geospatial in analytics, location-based analytics applications, consumer oriented analytical applications, mobile platforms, and cloud-based analytics. It also updates some coverage from the last edition on ethical and privacy considerations. It concludes with a major discussion of the analytics ecosystem. [90% new material]
Streamlined coverage. We have made the book shorter by keeping the most commonly used content. We also mostly eliminated the preformatted online content. Instead, we will use a Web site to provide updated content and links on a regular basis. We also reduced the number of references in each chapter.
Revamped author team. ;Building upon the excellent content that has been prepared by the authors of the previous editions (Turban, Aronson, Liang, King, Sharda and Delen), this edition was revised primarily by Ramesh Sharda and Dursun Delen. Both Ramesh and Dursun have worked extensively in DSS and analytics and have industry as well as research experience.
All new figures for PowerPoint. Although the figures in the print edition have been retained from previous editions and new figures added for the new content, all the figures have been redrawn in color and are available through the image library for use in PowerPoint presentations.
A live update Web site. Adopters of the textbook will have access to a Web site that will include links to news stories, software, tutorials, and even YouTube videos related to topics covered in the book. This site is accessible at http://dssbibook.com
Revised and updated content. Almost all of the chapters have new opening vignettes and closing cases that are based on recent stories and events. In addition, Application Cases throughout the book have been updated to include recent examples of applications of a specific technique/model. New Web site links have been added throughout the book. We also deleted many older product links and references. Finally, most chapters have new exercises, Internet assignments, and discussion questions throughout.

FEATURES AND BENEFITS
Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems.

Decision Support and Business Intelligence Systems 10e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.

The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.

Introduction of management support systems (MSS) technologies.
The tenth edition concentrate on three main areas: BI, data mining, and automated decision support (ADS).

BI and analytics for enterprise decision support.
In addition to traditional decision support applications, this edition promotes students' understanding of the Web by providing examples, products, services, and exercises and by discussing Web-related issues throughout the text. Web intelligence/Web analytics are highlighted, which parallel BI/business analytics (BA) for e-commerce and other Web applications.

Extensive supply chain and ERP coverage.
Detailed coverage of decision support in supply chain and ERP applications helps students address the crucial supply chain and logistics questions that enterprises focus on.

Comprehensive coverage of data warehousing.
Coverage of topics such as warehouse access, analysis, mining, visualization, and modeling introduces students to state-of-the-art solutions for the entire data warehouse lifecycle.

Comprehensive coverage of knowledge-based decision support.
All the techniques students will need to build advanced knowledge-based decision support systems are covered-knowledge acquisition and representation, inference techniques, and intelligent systems development.

Organizational and societal impacts.
By learning about the organizational and societal implications of advanced decision support technology, students gain a grasp on the ethics, politics, and other non-technical issues associated with electronic decision support.

Detailed coverage of implementation and integration.
The coverage of the real-world challenges of integrating new decision support tools into existing technical and business infrastructures gives students insight into the issues that will make or break their decision support projects.

Links to Teradata University Network (TUN).
Most chapters include links to TUN (www.teradatauniversitynetwork.com). The student side of the Teradata site (Teradata Student Network [TSN]; www.teradatastudentnetwork.com) mainly includes assignments for students. A visit to TSN allows students to read cases, view Web seminars, answer questions, search material, and more.

Software Support.
The TUN website provides software support at no charge. It also provides links to free data mining and other software. In addition, the site provides exercises in the use of such software.