Business intelligence and analytics : systems for decision support / Ramesh Sharda, Oklahoma State University, Dursun Delen, Oklahoma State University, Efraim Turban, University of Hawaii ; With contributions by J. E. Aronson, The University of Georgia, Ting-Peng Liang, National Sun Yat-sen University, David King, JDA Software Group, Inc.

Includes bibliographical references and index.

Part I. Decision making and analytics : an overview --
Chapter 1. An overview of business intelligence, analytics and decision support --
Chapter 2. Foundations and technologies for decision making --
Part II. Descriptive analytics --
Chapter 3. Data warehousing --
Chapter 4. Business reporting, visual analytics and business performance management --
Predictive analytics --
Chapter 5. Data mining --
Chapter 6. Techniques for predictive modeling --
Chapter 7. Text analytics, text mining and sentiment analysis --
Chapter 8. Web analytics, web mining and social analytics --
Prescriptive analytics --
Chapter 9. Model-based decision making: optimization and multi-criteria systems --
Chapter 10. Modeling and analysis: heuristic search methods and simulation --
Chapter 11. Automated decision systems and expert systems --
Chapter 12. Knowledge management and collaborative systems --
Big data and future directions for business analytics --
Chapter 13. Big data and analytics --
Chapter 14. Business analytics : emerging trends and future impacts.

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.

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.

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.