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Business Intelligence, Analytics, and Data Science: A Managerial Perspective PDF

515 Pages·2017·76.88 MB·English
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BUSINESS INTELLIGENCE, ANALYTICS, AND DATA SCIENCE: A Managerial Perspective OTHER MIS TITLES OF INTEREST Inrodvctory Lccsion Support Systems Experiencing MIS, 7/e atiness lcelligence, Antyties,and Dasa Kroenke oye £2017 Science, 4/e ‘lrg Sn, 406 Shands, Deen Taba ©2018 eke € Boyle 22018 ‘Business Ineligence snd Analyies: Systems {oe Decision Support, 10/¢ “Management Information Sytem, 5/< Tudor & Landon 82038 Shard, Delen thiban ©2015 Enventials of MIS, 12/¢ LUata Communications & Networking towon toto 2083 isd networking tbe 2/6 secteen SN INS tl ne Ne Inerduction 10 MIS, 2/¢ Nene Reve 2015, ‘usinens Data Networks and Security 10/¢ Panke & Punk £2015 {Informacion Systeme Today, 8/6 ‘ct & Snr 2018, ‘estronic Commerce Inroducton to Information Sratems,3/¢ —Excommeres Tne Techno Wales O2018 sockty 18/6 " ’ Database aden & aver 2018 Sndren Denline fe smerprise Resource laine anger 22014 ‘Enterprise Syetens for Manager, 2/e Modern Database Management, 1/¢ ‘otwatla & Thompson 62012 Hoe, ates Topi 92016 Database Concept, 8/¢ — Kmenke, Aver Windenburs, Yoder 92018‘ rojct Management; Process, Technology Database Processing, 4/6 ‘and Practice ‘Krveke & Aver 02016, eidyamathan ©2013 Systems Analysis and Design Modern Syreme Knalyris and Design 8/6 ote, George Saacch ©2017 Syater Analysis and Deng, 9/¢ ‘Renal & Renal 22014 Essentials of Spsteras Analysis md Devign,6/e ‘lncich, George Motor 82015 FOURTH EDITION BUSINESS INTELLIGENCE, ANALYTICS, AND DATA SCIENCE: A Managerial Perspective Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 An Overview of Business Intelligence, Anal and Data Science 3 Descriptive Analytics Is Nature of Data, Statistical Modeling, and Visualization 53 Descriptive Analytics Il: Business Intelligence and DataWarehousing 127 Predictive Analytics I: Data Mining Process, Methods, and Algorithms 189 Predictive Analytics Il:Text, Web, and Social Media Analytics 247 Prescriptive Analytics: and Simulation 319 Big Data Concepts and Tools 369 Future Trends, Privacy and Managerial Considerations inAnalytics 417 ‘this pag intemal Fe bk An Overview of Business Intelligence, 2 TeOrgrwd Diner of B16 Sra anaes Te . eprops Pamingare Agree eee Spy 2 iin Irsgrac of Serasrd openers 2 1 Ares Oren 22 APPUEATION CASE 12 Stars nereses Business with Visual Anas Sha Rect Time Reporting Capabiies" "APPLICATION CASE | Analying Alte Injures 26 oats hype eee Carae 22 * ARRUCATION CAE a & Specialy Ste! Bur Company Uses Asics 16 Aras Emo inSeecetDorsbs 29 ‘oats pean Hester Resttine ig Bus Aris fotmprve Caemer 1 An Ovo the Aa Ese 37 epatorDeelopes sy Sea Cones 2 ‘aticsintosardCereatonAgercn 4 Ante User Orcaons 45 Siow a Descriptive Analytics |: Nature of Data, Statistical Modeling, and Visualization "5? 21 OFTMNG VIGNETTE Sra Atenas New Geen Ensures Product Quality While Saving Money ARPMATION CASE Inpro Slat Reon 25 Sensual acing for Bese 74 “etemealy) a eas Depa yo Caled Mesure of Sr ‘Seven ‘Gute reat ge 7H APPLICATION CASE23 Town of Cary Uses Anahtes {Aout Baten Sears Avo Devo 216 han Meigen Sees 4 ow De WeDesep te urea Repeorar Meds! 6 How a We Kew hw Model Goan? Lage Roesion 39 ARRJATION CASES Fd of apr Eada ‘Gperationa Performance igh wih Tableau Sine 163 fie Cra are apte 106 Second Chore nak ar ‘inher ag Se You Us 108 110 The Everts of Va Aree ‘alae 12 inoue You Anite Enver 1 TAPRUCATION CASE 7 Dali Cowbor Sere Bg wh * RPRATION CASE 28 Veal Arie Helps Energy fet tes nat Dey Bentenek fey eformeeledcos wi daey Sarid 2 ‘atte Onkacrd Deeb Ul peut 12 ese ual Constr g Dasari ieee 122 PoveeiarCuced eee 2 Descriptive Analytics Il: Business Intelligence ‘ ind Data Warehousing 2 OPIN WENETE Teper To ra wh nr eect Avr Reaive Dat eon 2 ‘atte o Stay on Tap na Compete Inausety 3S ‘inch Acer a

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