[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-238789-105":59,"doc-detail-238789-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","business-intelligence-and-analytics-systems-for-decision-support-tenth-edition","Business Intelligence and Analytics - Systems for Decision Support - Tenth Edition","","Business Intelligence and Analytics - Systems for Decision Support - Tenth Edition explores how analytics technologies support decision making across descriptive, predictive, prescriptive, and future-oriented big data contexts. The book structures learning from core foundations and enabling technologies through data warehousing, reporting, data mining, predictive modeling, text and web/social analytics, and optimization-based decision approaches. It also covers automated decision systems, expert systems, knowledge management, and collaborative analytics.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/business-intelligence-and-analytics-systems-for-decision-support-tenth-edition/238789/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/business-intelligence-and-analytics-systems-for-decision-support-tenth-edition/238789.png","ImageObject",300,407,{"name":92,"@type":93},"\tJames","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-20","2026-09-11",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",23,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What analytics types does the book cover for decision support?","Question",{"text":113,"@type":114},"The book covers descriptive analytics, predictive analytics, prescriptive analytics, and big data directions for business analytics, each mapped to specific technologies and problem types.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which topics are included in the descriptive analytics section?",{"text":118,"@type":114},"Descriptive analytics includes data warehousing and business reporting, visual analytics, and business performance management.",{"name":120,"@type":111,"acceptedAnswer":121},"What does the book include under predictive analytics?",{"text":122,"@type":114},"Predictive analytics covers data mining, techniques for predictive modeling, text analytics and sentiment analysis, and web analytics including web/social analytics.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},238789,1789139629,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145},2336474466412,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","BUSINESS INTELLIGENCEAND ANALYTICS:  \nSYSTEMS FOR DECISION SUPPORT  \nRamesh Sharda  \nOklahoma State University  \nDursun Delen  \nOklahoma State University  \nEfraim Turban  \nUniversity of Hawaii  \nWith contributions by  \nJ.E.AronsonThe University of Georgia  \nTing-Peng Liang  \nNational Sun Yat-sen University  \nDavid King  \nJDA Software Group,Inc.  \nPEARSON  \nBoston Columbus Indianapolis New York San Francisco Upper Saddle RiverAmsterdam Cape Town Dubai London Madrid Milan Munich Paris Montréal TorontoDelhi Mexico City Sǎo Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo  \nCover Designer:Suzanne Behnke  \nEditor in Chief:Stephanie Wall  \nExecutive Editor:Bob Horan  \nDigital Production Project Manager:Lisa  \nProgram Manager Team Lead:Ashley Santora  \nRinaldi  \nProgram Manager:Denise Vaughn  \nFull-Service Project Management:George Jacob,  \nIntegra Software Solutions.  \nExecutive Marketing Manager:Anne Fahlgren  \nProject Manager Team Lead:Judy Leale  \nPrinter/Binder:Edwards Brothers Malloy-Jackson  \nProject Manager:Tom Benfatti  \nRoad  \nOperations Specialist:Michelle Klein  \nCover Printer:Lehigh/Phoenix-Hagerstown  \nCreative Director:Jayne Conte  \nText Font:Garamond  \nCredits and acknowledgments borrowed from other sources and reproduced,with permission,in this textbookappear on the appropriate page within text.  \nMicrosoft and/or its respective suppliers make no representations about the suitability of the informationcontained in the documents and related graphics published as part of the services for any purpose.All suchdocuments and related graphics are provided \"as is\"without warranty of any kind.Microsoft and/or itsrespective suppliers hereby disclaim all warranties and conditions with regard to this information,includingall warranties and conditions of merchantability,whether express,implied or statutory,fitness for a particularpurpose,title and non-infringement.In no event shallMicrosoft and/or its respective suppliers be liable forany special,indirect or consequential damages or any damages whatsoever resulting from loss of use,data orprofits,whether in an action of contract,negligence or other tortious action,arising out of or in connectionwith the use or performance of information available from the services.  \nThe documents and related graphics contained herein could incude technical inaccuracies or typographicalerrors.Changes are periodically added to the information herein.Microsoft and/or its respective suppliers maymake improvements and/or changes in the product(s)and/or the program(s)described herein at any time.Partial screen shots may be viewed in full within the software version specified.  \nMicrosoft Windows⑧,and Microsoft Office®are registered trademarks of the Microsoft Corporation in the U.S.A.and other countries.This book is not sponsored or endorsed by or affiliated with the Microsoft Corporation.  \nCopyright ◎2015,2011,2007 by Pearson Education,Inc.,One Lake Street,Upper Saddle River,  \nNew Jersey 07458.All rights reserved.Manufactured in the United States of America.This publicationis protected by Copyright,and permission should be obtained from the publisher prior to any prohibitedreproduction,storage in a retrieval system,or transmission in any form or by any means,electronic,mechanical,photocopying,recording,or likewise.To obtain permission(s)to use material from this work,please submit a written request to Pearson Education,Inc,Permissions DepartmentOne Lake Street,Upper Saddle River,New Jersey 07458,or you may fax your request to 201-236-3290.  \nMany of the designations by manufacturers and sellers to distinguish their products are claimed as trademarks.Where those designations appear in this book,and the publisher was aware of a trademark claim,thedesignations have been printed in initial caps or all caps.  \nLibrary of Congress Cataloging-in-Publication Data  \nTurban,Efraim  \n[Decision support and expert systems]  \nBusiness intelligence and analytics:systems for decision support/Ramesh Sharda,Oklah","cbCaieLQjJjLCZV4","https://ap.wps.com/l/cbCaieLQjJjLCZV4","pdf",20915300,686,"English","# Preface\n## About the Authors\n# PART I Decision Making and Analytics: An Overview\n## Chapter 1 An Overview of Business Intelligence, Analytics, and Decision Support\n## Chapter 2 Foundations and Technologies for Decision Making\n# PART II Descriptive Analytics\n## Chapter 3 Data Warehousing\n## Chapter 4 Business Reporting, Visual Analytics, and Business Performance Management\n# PART III Predictive Analytics\n## Chapter 5 Data Mining\n## Chapter 6 Techniques for Predictive Modeling\n## Chapter 7 Text Analytics, Text Mining, and Sentiment Analysis\n## Chapter 8 Web Analytics, Web Mining, and Social Analytics\n# PART IV Prescriptive Analytics\n## Chapter 9 Model-Based Decision Making: Optimization and Multi-Criteria Systems\n## Chapter 10 Modeling and Analysis: Heuristic Search Methods and Simulation\n## Chapter 11 Automated Decision Systems and Expert Systems\n## Chapter 12 Knowledge Management and Collaborative Systems\n# PART V Big Data and Future Directions for Business Analytics\n## Chapter 13 Big Data and Analytics\n## Chapter 14 Business Analytics: Emerging Trends and Future Impacts\n# Glossary\n# Index","[{\"question\":\"What analytics types does the book cover for decision support?\",\"answer\":\"The book covers descriptive analytics, predictive analytics, prescriptive analytics, and big data directions for business analytics, each mapped to specific technologies and problem types.\"},{\"question\":\"Which topics are included in the descriptive analytics section?\",\"answer\":\"Descriptive analytics includes data warehousing and business reporting, visual analytics, and business performance management.\"},{\"question\":\"What does the book include under predictive analytics?\",\"answer\":\"Predictive analytics covers data mining, techniques for predictive modeling, text analytics and sentiment analysis, and web analytics including web/social analytics.\"}]","Business Intelligence and Analytics - Systems for Decision Support - Tenth Edition | PDF",1729]