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

515 Pages·2017·76.88 MB·English

by  Efraim Turban, Ramesh Sharda, Dursun Delen

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