Deck 1: An Overview of Business Intelligence,analytics,and Data Science

Question 1

Successful BI is a tool for the information systems department,but is not exposed to the larger organization.

Answer 1

False

Question 2

Business intelligence (BI)is a specific term that describes architectures and tools only.

Answer 2

False

Question 3

The use of statistics in baseball by the Oakland Athletics,as described in the Moneyball case study,is an example of the effectiveness of prescriptive analytics.

Answer 3

True

Question 4

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.

Question 5

Managing data warehouses requires special methods,including parallel computing and/or Hadoop/Spark.

Question 6

In the 2000s,the DW-driven DSSs began to be called BI systems.

Question 7

Major commercial business intelligence (BI)products and services were well established in the early 1970s.

Question 8

Traditional BI systems use a large volume of static data that has been extracted,cleansed,and loaded into a data warehouse to produce reports and analyses.

Question 9

Computer applications have moved from transaction processing and monitoring activities to problem analysis and solution applications.

Question 10

Computerized support is only used for organizational decisions that are responses to external pressures,not for taking advantage of opportunities.

Question 11

During the early days of analytics,data was often obtained from the domain experts using manual processes to build mathematical or knowledge-based models.

Question 12

Decision support system (DSS)and management information system (MIS)have precise definitions agreed to by practitioners.

Question 13

Demands for instant,on-demand access to dispersed information decrease as firms successfully integrate BI into their operations.

Question 14

Managing information on operations,customers,internal procedures and employee interactions is the domain of cognitive science.

Question 15

The use of dashboards and data visualizations is seldom effective in identifying issues in organizations,as demonstrated by the Silvaris Corporation Case Study.

Question 16

Information systems that support such transactions as ATM withdrawals,bank deposits,and cash register scans at the grocery store represent transaction processing,a critical branch of BI.

Question 17

The growth in hardware,software,and network capacities has had little impact on modern BI innovations.

Question 18

Data generation is a precursor,and is not included in the analytics ecosystem.

Question 19

Due to industry consolidation,the analytics ecosystem consists of only a handful of players across several functional areas.

Question 20

BI represents a bold new paradigm in which the company's business strategy must be aligned to its business intelligence analysis initiatives.

Question 21

What has caused the growth of the demand for instant,on-demand access to dispersed information?

A)the increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level
B)the need to create a database infrastructure that is always online and contains all the information from the OLTP systems
C)the more pressing need to close the gap between the operational data and strategic objectives
D)the fact that BI cannot simply be a technical exercise for the information systems department

Question 22

Business applications have moved from transaction processing and monitoring to other activities.Which of the following is NOT one of those activities?

A)problem analysis
B)solution applications
C)data monitoring
D)mobile access

Question 23

The very design that makes an OLTP system efficient for transaction processing makes it inefficient for

A)end-user ad hoc reports,queries,and analysis.
B)transaction processing systems that constantly update operational databases.
C)the collection of reputable sources of intelligence.
D)transactions such as ATM withdrawals,where we need to reduce a bank balance accordingly.

Question 24

How are enterprise resources planning (ERP)systems related to supply chain management (SCM)systems?

A)different terms for the same system
B)complementary systems
C)mutually exclusive systems
D)none of the above; these systems never interface

Question 25

Relational databases began to be used in the

A)1960s.
B)1970s.
C)1980s.
D)1990s.

Question 26

Which of the following statements about Big Data is true?

A)Data chunks are stored in different locations on one computer.
B)Hadoop is a type of processor used to process Big Data applications.
C)MapReduce is a storage filing system.
D)Pure Big Data systems do not involve fault tolerance.

Question 27

Which of the following developments is NOT contributing to facilitating growth of decision support and analytics?

A)collaboration technologies
B)Big Data
C)knowledge management systems
D)locally concentrated workforces

Question 28

What type of analytics seeks to determine what is likely to happen in the future?

A)descriptive
B)prescriptive
C)predictive
D)domain

Question 29

What type of analytics seeks to recognize what is going on as well as the likely forecast and make decisions to achieve the best performance possible?

A)descriptive
B)prescriptive
C)predictive
D)domain

Question 30

The competitive imperatives for BI include all of the following EXCEPT

A)right information
B)right user
C)right time
D)right place

Question 31

In the Opening Vignette on Sports Analytics,what was adjusted to drive one-time ticket sales?

A)player selections
B)stadium location
C)fan tweets
D)ticket prices

Question 32

The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system?

A)management information systems
B)relational databases
C)executive information systems
D)data warehouses

Question 33

Online transaction processing (OLTP)systems handle a company's routine ongoing business.In contrast,a data warehouse is typically

A)the end result of BI processes and operations.
B)a repository of actionable intelligence obtained from a data mart.
C)a distinct system that provides storage for data that will be made use of in analysis.
D)an integral subsystem of an online analytical processing (OLAP)system.

Question 34

In what decade did disjointed information systems begin to be integrated?

A)1970s
B)1980s
C)1990s
D)2000s

Question 35

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce.One reason for this is

A)centralized storage creates too many vulnerabilities.
B)the "Big" in Big Data necessitates over 10,000 processing nodes.
C)the processing power needed for the centralized model would overload a single computer.
D)Big Data systems have to match the geographical spread of social media.

Question 36

In the Opening Vignette on Sports Analytics,what type of modeling was used to predict offensive tactics?

A)heuristics
B)heat maps
C)cascaded decision trees
D)sentiment analysis

Question 37

BI applications must be integrated with

A)databases.
B)legacy systems.
C)enterprise systems.
D)all of these

Question 38

Today,many vendors offer diversified tools,some of which are completely preprogrammed (called shells).How are these shells utilized?

A)They are used for customization of BI solutions.
B)All a user needs to do is insert the numbers.
C)The shell provides a secure environment for the organization's BI data.
D)They host an enterprise data warehouse that can assist in decision making.

Question 39

Which of the following is an umbrella term that combines architectures,tools,databases,analytical tools,applications,and methodologies?

A)MIS
B)DSS
C)ERP
D)BI

Question 40

Which of the following is NOT an example of transaction processing?

A)ATM withdrawal
B)bank deposit
C)sales report
D)cash register scans

Question 41

________ analytics help managers understand probable future outcomes.

Question 42

The Google search engine is an example of Big Data in that it has to search and index billions of ________ in fractions of a second for each search.

Question 43

________ providers focus on providing technology and services aimed toward integrating data from multiple sources.

Question 44

Organizations using BI systems are typically seeking to ________ the gap between the operational data and strategic objectives has become more pressing.

Question 45

A(n)________ is a major component of a Business Intelligence (BI)system that holds source data.

Question 46

________ analytics help managers understand current events in the organization including causes,trends,and patterns.

Question 47

The programing algorithm developed by Google to handle Big Data computational challenges is known as ________.

Question 48

________ cycle times are now extremely compressed,faster,and more informed across industries.

Question 49

The filing system developed by Google to handle Big Data storage challenges is known as the ________ Distributed File System.

Question 50

As the number of potential BI applications increases,the need to justify and prioritize them arises.This is not an easy task due to the large number of ________ benefits.

Question 51

With ________,all the data from every corner of the enterprise is collected and integrated into a consistent schema so that every part of the organization has access to the single version of the truth when and where needed.

Question 52

Different types of players are identified and described in the analytics ________.

Question 53

Fundamental reasons for investing in BI must be ________ with the company's business strategy.

Question 54

________ providers focus on bringing all the data stores into an enterprise-wide platform.

Question 55

________ is an umbrella term that combines architectures,tools,databases,analytical tools,applications,and methodologies.

Question 56

Data warehouses are intended to work with informational data used for online ________ processing systems.

Question 57

Software monitors referred to as ________ can be placed on a separate server in the network and use event- and process-based approaches to measure and monitor operational processes.

Question 58

The user interface of a BI system is often referred to as a(n)________.

Question 59

________ analytics help managers make decisions to achieve the best performance in the future.

Question 60

A(n)________ is a major component of a Business Intelligence (BI)system that is often browser based and often presents a portal or dashboard.

Question 61

List and describe three levels or categories of analytics that are most often viewed as sequential and independent,but also occasionally seen as overlapping.

Question 62

Describe the three major subsets of the Analytics Focused Software Developers portion of the Analytics Ecosystem.

Question 63

How does Amazon.com use predictive analytics to respond to product searches by the customer?

Question 64

What is the intent of the analysis of data that is stored in a data warehouse?

Question 65

Why is data alone worthless?

Question 66

What are the four major components of a Business Intelligence (BI)system?

Question 67

What storage system and processing algorithm were developed by Google for Big Data?

Question 68

Business applications can be programmed to act on what real-time BI systems discover.Describe two approaches to the implementation of real-time BI.

Question 69

Describe and define Big Data.Why is a search engine a Big Data application?

Question 70

List four possible analytics applications in the retail value chain.