BUSINESS INTELLIGENCE, ANALYTICS, AND DATA SCIENCE: A MANAGERIAL PERSPECTIVE
4TH EDITION BY RAMESH SHARDA, DURSUN DELEN, EFRAIM TURBAN||VERIFIED||GRADED
,Contents
Chapter 1 An Overview Of Business Intelligence, Analytics, And Data Science ......................... 2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, And Business Applications
............................................................................................................................................30
Chapter 3 Descriptive Analytics I: Nature Of Data, Big Data, And Statistical Modeling .............59
Chapter 4 Descriptive Analytics Ii: Business Intelligence Data Warehousing, And Visualization91
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, And Algorithms ................. 123
Chapter 6 Predictive Analytics Ii: Text, Web, And Social Media Analytics .............................. 155
Chapter 7 Deep Learning And Cognitive Computing ............................................................. 185
Chapter 8 Prescriptive Analytics: Optimization And Simulation ............................................ 215
Chapter 9 The Landscape Of Software Tools And Languages ................................................. 247
Chapter 10 New Ai-Based Trends In Analytics And Data Science ........................................... 278
Chapter 11 Ethical, Privacy And Managerial Considerations In Analytics ............................... 311
1
,Chapter 1 An Overview Of Business Intelligence, Analytics, And
Data Science
1) Computerized Support Is Used For Organizational And Managerial Decisions That Are
Responses To External Pressures And To Take Advantage Of Market Opportunities.
ACCURATE 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.
ACCURATE 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.
ACCURATE 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.
ACCURATE 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.
ACCURATE ANS>>False
Diff: 2 Page Ref: 48
2
, 6) Managing Data Warehouses Requires Special Methods, Including Parallel And Cloud
Computing Along With Hadoop/Spark.
ACCURATE ANS>>True
Diff: 2 Page Ref: 49
7) Managing Information On Operations, Customers, Internal Procedures, And
Employee Interactions Is The Domain Of Cognitive Science.
ACCURATE 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.
ACCURATE 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.
ACCURATE ANS>>True
Diff: 1 Page Ref: 65
10) Major Commercial Business Intelligence (Bi) Products And Services Were Well
Established In The Early 1970s.
ACCURATE 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).
ACCURATE 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.
ACCURATE ANS>>True