TEST BANK- BUSINESS INTELLIGENCE, ANALYTICS, DATA
SCIENCE, AND AI, GLOBAL EDITION PAPERBACK – 17 JUN.
2024 BY RAMESH SHARDA (AUTHOR), DURSUN DELEN
(AUTHOR), EFRAIM TURBAN (AUTHOR) VERIFIED GUIDE|
GURANTEED PASS
5TH EDITION
, Table of Contents
PART I INTRODUCTION ...................................................................................................................2
Chapter 1 An Overview Of Business Intelligence, Analytics, Data Science, And AI ...2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, And Business Applications
26
PART II DESCRIPTIVE ANALYTICS ................................................................................................... 54
Chapter 3 Descriptive Analytics I: Nature Of Data, Big Data, And Statistical Modeling .................. 54
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, And Visualization .... 98
PART III PREDICTIVE ANALYTICS .................................................................................................. 141
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, And Algorithms ...................... 141
Chapter 6 Predictive Analytics II: Text, Web, And Social Media Analytics ................................... 180
Chapter 7 Deep Learning And Cognitive Computing ................................................................... 219
PART IV PRESCRIPTIVE ANALYTICS .............................................................................................. 260
Chapter 8 Prescriptive Analytics: Optimization And Simulation .................................................. 260
PART V SOFTWARE AND TRENDS ................................................................................................ 304
Chapter 9 Landscape Of Business Analytics Tools....................................................................... 304
Chapter 10 AI-Based Trends In Analytics And Data Science ........................................................ 342
Chapter 11 Ethical, Privacy And Managerial Considerations In Analytics .................................... 381
Sharda, Business Intelligence, Analytics, Data Science, And AI, 5e, Global Edition.
PART I INTRODUCTION
Chapter 1 An Overview Of Business Intelligence, Analytics,
Data Science, And AI
1) Computerized Support Is Used For Organizational And Managerial Decisions
That Are Responses To External Pressures And To Take Advantage Of Market
Opportunities.
CORRECT ANS>> TRUE
Diff: 1 Page Ref: 32
2) During The Early Days Of Analytics, Data Was Often Obtained From The
Domain Experts Using Manual Processes To Build Mathematical Or Knowledge-
Based Models.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 56
,3) Computer Applications Have Moved From Transaction Processing And
Monitoring Activities To Problem Analysis And Decision Support Applications.
CORRECT ANS>> TRUE
Diff: 1 Page Ref: 48
4) Business Intelligence Is A Specific Term That Describes A Variety Of
Information Technology And Data Capturing Focused System Architectures.
CORRECT ANS>>
FALSE Diff: 2 Page
Ref: 46
5) The Growth In Hardware, Software, And Network Capacities Were The
Core Contributors To The Proliferation Of Decision Support And
Analytics Systems.
CORRECT ANS>> FALSE
Diff: 2 Page Ref: 48
6) Managing Data Warehouses Requires Special Methods, Including Parallel
And Cloud Computing Along With Hadoop/Spark.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 49
7) Managing Information On Operations, Customers, Internal Procedures,
And Employee Interactions Is The Domain Of Cognitive Science.
CORRECT ANS>>
FALSE Diff: 3 Page
Ref: 49
8) Decision Support System (DSS), Analytics, And Management Information
System (MIS) Have Precise Definitions Agreed To By Most Practitioners.
CORRECT ANS>>
FALSE Diff: 2 Page
Ref: 55
, 9) Of All Analytics Types (I.E., Descriptive, Predictive, And Prescriptive), Data
Mining Is Most Closely Related To Predictive Analytics.
CORRECT ANS>> TRUE
Diff: 1 Page Ref: 65
10) Major Commercial Business Intelligence (BI) Products And Services Were
Well Established In The Early 1970s.
CORRECT ANS>>
FALSE Diff: 2 Page
Ref: 55
11) Information Systems That Support Such Transactions As ATM Withdrawals,
Bank Deposits, And Cash Register Scans At The Grocery Store Represent Online
Transaction
Processing Systems (OLAP).
CORRECT ANS>> FALSE
Diff: 3 Page Ref: 61
12) Many Business Users In The 1980s Referred To Their Mainframes As "The
Black Hole," Because All The Information Went Into It, But Little Ever Came
Back, And Ad Hoc Real-Time Querying Was Virtually Impossible.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 61
13) Data Warehouses Are Intended To Work With Informational Data Used For
Online Transaction Processing (OLTP) Systems.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 61
14) Successful BI Is A Tool Developed By And Developed For The
Information Systems Department.
CORRECT ANS>>
FALSE Diff: 2 Page
SCIENCE, AND AI, GLOBAL EDITION PAPERBACK – 17 JUN.
2024 BY RAMESH SHARDA (AUTHOR), DURSUN DELEN
(AUTHOR), EFRAIM TURBAN (AUTHOR) VERIFIED GUIDE|
GURANTEED PASS
5TH EDITION
, Table of Contents
PART I INTRODUCTION ...................................................................................................................2
Chapter 1 An Overview Of Business Intelligence, Analytics, Data Science, And AI ...2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, And Business Applications
26
PART II DESCRIPTIVE ANALYTICS ................................................................................................... 54
Chapter 3 Descriptive Analytics I: Nature Of Data, Big Data, And Statistical Modeling .................. 54
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, And Visualization .... 98
PART III PREDICTIVE ANALYTICS .................................................................................................. 141
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, And Algorithms ...................... 141
Chapter 6 Predictive Analytics II: Text, Web, And Social Media Analytics ................................... 180
Chapter 7 Deep Learning And Cognitive Computing ................................................................... 219
PART IV PRESCRIPTIVE ANALYTICS .............................................................................................. 260
Chapter 8 Prescriptive Analytics: Optimization And Simulation .................................................. 260
PART V SOFTWARE AND TRENDS ................................................................................................ 304
Chapter 9 Landscape Of Business Analytics Tools....................................................................... 304
Chapter 10 AI-Based Trends In Analytics And Data Science ........................................................ 342
Chapter 11 Ethical, Privacy And Managerial Considerations In Analytics .................................... 381
Sharda, Business Intelligence, Analytics, Data Science, And AI, 5e, Global Edition.
PART I INTRODUCTION
Chapter 1 An Overview Of Business Intelligence, Analytics,
Data Science, And AI
1) Computerized Support Is Used For Organizational And Managerial Decisions
That Are Responses To External Pressures And To Take Advantage Of Market
Opportunities.
CORRECT ANS>> TRUE
Diff: 1 Page Ref: 32
2) During The Early Days Of Analytics, Data Was Often Obtained From The
Domain Experts Using Manual Processes To Build Mathematical Or Knowledge-
Based Models.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 56
,3) Computer Applications Have Moved From Transaction Processing And
Monitoring Activities To Problem Analysis And Decision Support Applications.
CORRECT ANS>> TRUE
Diff: 1 Page Ref: 48
4) Business Intelligence Is A Specific Term That Describes A Variety Of
Information Technology And Data Capturing Focused System Architectures.
CORRECT ANS>>
FALSE Diff: 2 Page
Ref: 46
5) The Growth In Hardware, Software, And Network Capacities Were The
Core Contributors To The Proliferation Of Decision Support And
Analytics Systems.
CORRECT ANS>> FALSE
Diff: 2 Page Ref: 48
6) Managing Data Warehouses Requires Special Methods, Including Parallel
And Cloud Computing Along With Hadoop/Spark.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 49
7) Managing Information On Operations, Customers, Internal Procedures,
And Employee Interactions Is The Domain Of Cognitive Science.
CORRECT ANS>>
FALSE Diff: 3 Page
Ref: 49
8) Decision Support System (DSS), Analytics, And Management Information
System (MIS) Have Precise Definitions Agreed To By Most Practitioners.
CORRECT ANS>>
FALSE Diff: 2 Page
Ref: 55
, 9) Of All Analytics Types (I.E., Descriptive, Predictive, And Prescriptive), Data
Mining Is Most Closely Related To Predictive Analytics.
CORRECT ANS>> TRUE
Diff: 1 Page Ref: 65
10) Major Commercial Business Intelligence (BI) Products And Services Were
Well Established In The Early 1970s.
CORRECT ANS>>
FALSE Diff: 2 Page
Ref: 55
11) Information Systems That Support Such Transactions As ATM Withdrawals,
Bank Deposits, And Cash Register Scans At The Grocery Store Represent Online
Transaction
Processing Systems (OLAP).
CORRECT ANS>> FALSE
Diff: 3 Page Ref: 61
12) Many Business Users In The 1980s Referred To Their Mainframes As "The
Black Hole," Because All The Information Went Into It, But Little Ever Came
Back, And Ad Hoc Real-Time Querying Was Virtually Impossible.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 61
13) Data Warehouses Are Intended To Work With Informational Data Used For
Online Transaction Processing (OLTP) Systems.
CORRECT ANS>> TRUE
Diff: 2 Page Ref: 61
14) Successful BI Is A Tool Developed By And Developed For The
Information Systems Department.
CORRECT ANS>>
FALSE Diff: 2 Page
