Deck 8: Decision Making and Business Intelligence

Question 1

Regression analysis measures the impact of a set of variables on another variable.

Answer 1

True

Question 2

With supervised data mining,analysts create a model or hypothesis before running the analysis.

Answer 2

True

Question 3

Neural networks are a supervised data-mining technique.

Answer 3

True

Question 4

A reporting system is designed to provide the right information,to the right user,at the right time.

Question 5

OLTP provides the ability to sum,count,average,and perform other simple arithmetic operations on groups of data.

Question 6

OLAP provides the ability to sum,count,average,and perform other simple arithmetic operations on groups of data.

Question 7

Systems that focus on making data collected in OLTP to support decision making are often referred to as expert systems.

Question 8

Data-mining is about probabilities not certainties.So sometimes a good model may look bad because of a string of bad luck.

Question 9

Data-mining systems use heuristic techniques to process data to find hidden patterns and relationships among the data.

Question 10

A data-mining system uses statistical analysis to enable fundraisers to predict who will donate to a cause.

Question 11

Coarse data are highly summarized.

Question 12

With cluster analysis,analysts create a model or hypothesis before running the analysis.

Question 13

Generally it is better to have data that is too fine rather than too coarse.

Question 14

Systems that focus on making data collected in OLTP to support decision making are often referred to as decision support systems.

Question 15

Reporting systems are programs that read data from a variety of sources,process that data,produce and deliver formatted reports to users.

Question 16

Cluster analysis measures the impact of a set of variables on another variable.

Question 17

Systems that focus on making data collected in OLTP to support decision making are often referred to as knowledge management systems.

Question 18

Online transaction processing (OLTP)systems are the backbone of all cross-functional systems in a company.

Question 19

Clickstream data is very fine data.

Question 20

Fine data are highly summarized.

Question 21

________ is the application of statistical techniques to find patterns and relationships in data and to predict outcomes.

A) Data mining
B) Data warehousing
C) Data depositing
D) Data marting
E) Databasing

Question 22

The purpose of a business intelligence system is to provide information that

A) improves decision making.
B) can be summarized.
C) is less granular.
D) follows privacy legislation.
E) has only one level of complexity.

Question 23

Problematic data are termed dirty data.

Question 24

A data mart is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Question 25

The total amount of data generated by 2010 is estimated to be

A) 330 petabytes.
B) 3.3 zettabytes.
C) 33 petabytes.
D) 3.3 exabytes.
E) 0.33 yottabytes.

Question 26

A data warehouse is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Question 27

The data resource challenge refers to the lack of data to support decision making.

Question 28

A ________ is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

A) database
B) data mart
C) data-mine
D) data depot
E) data warehouse

Question 29

While data may be collected in OLTP,the fact that data may not be used to improve decision making refers to (the)

A) data overload challenge.
B) information overload.
C) data resource challenge.
D) data integrity challenge.
E) knowledge challenge.

Question 30

Problematic data are termed missing values.

Question 31

Managers suffer more from an overabundance of irrelevant data.

Question 32

Market-basket analysis is a data-mining system,which computes correlations based on past orders to determine items that are frequently purchased together.

Question 33

Experts systems encapsulate knowledge and use if/then rules to support decisions.

Question 34

The hyper abundance of information is sometimes called

A) data abundance.
B) Moore's Law.
C) the Ackoff principle.
D) information overload.
E) dirty data.

Question 35

A person's clicking behavior on the web is termed as their

A) mouse trails.
B) webstream.
C) clickstream.
D) web tracks.
E) link journey.

Question 36

Data ________ refers to the degree of summarization or detail.

A) relevance
B) granularity
C) integrity
D) clarity
E) quality

Question 37

Discovering patterns and relationships in data is the purpose of data mining.

Question 38

Problematic data are termed

A) problem data.
B) irrelevant data.
C) incorrect data.
D) dirty data.
E) untrustworthy data.

Question 39

If you are collecting data electronically and processing the transaction online,then you are using (a)________.

A) online analytical processing (OLAP)
B) online transaction processing (OLTP)
C) data warehouse
D) data-mining
E) database management system (DBMS)

Question 40

With supervised data mining,data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.

Question 41

________ is a statistical technique that can identify groups of entities that have similar characteristics.

A) Regression analysis
B) Data mining
C) Cluster analysis
D) Character analysis
E) Supervised data mining

Question 42

In 2002,a total of ________ petabytes of new data were created.

A) 304
B) 330
C) 3.3
D) 403
E) 430

Question 43

________ analysis is a data-mining system which computes correlation of items on past orders to determine items that are frequently purchased together.

A) Market-basket
B) Marketing
C) Value chain
D) Data-mining
E) Shopping cart

Question 44

________ measure(s )the impact of a set of variables on another variable.

A) Supervised data mining
B) Regression analysis
C) Unsupervised data mining
D) Neural networks
E) Cluster analysis

Question 45

A phone number of 123-456-7890 and an age of 999 are examples of ___________ in a database.

A) granularity
B) OLTP
C) incorrect data labels
D) dirty data
E) too many attributes

Question 46

Systems that focus on making data collected in OLTP useful for allowing multiple decision makers to collaborate are often referred to as

A) Executive Information Systems.
B) Data Mining Systems.
C) Expert Systems.
D) Knowledge Management Systems.
E) Decision Support Systems.

Question 47

If you need to identify groups of entities that have similar characteristics,you need to perform (a)

A) cluster analysis.
B) regression analysis.
C) neural network analysis.
D) online analytical processing.
E) grouping analysis.

Question 48

Which of the following is an assumption about information systems that Ackoff disputed?

A) Managers are aware of the data they need.
B) There is too much information.
C) There is too much uncertainty in making any decisions.
D) Computer speed doubles every 18 months.
E) Managers suffer from a lack of training.

Question 49

________ create value from intellectual capital by collecting and sharing human knowledge of products,product uses,best practices,and other critical knowledge with employees,managers,customers,suppliers,and other who need it.

A) CRM applications
B) Expert Systems
C) Business intelligence systems
D) Data mining systems
E) Knowledge management systems

Question 50

________ provides the ability to sum,count,average,and perform other simple arithmetic operation on groups of data.

A) Online database processing (OLDP)
B) Online transaction processing (OLTP)
C) Online data processing (OLDP)
D) Online record processing (OLRP)
E) Online analytic processing (OLAP)

Question 51

Which of the following is an assumption about information systems that Ackoff disputed?

A) There is too much uncertainty in making any decision.
B) Decisions are poor because managers lack relevant information.
C) Computer speed doubles every 18 months.
D) There is too much information.
E) Mangers suffer from a lack of perfect data.

Question 52

________ process data using sophisticated statistical techniques like regression analysis and decision tree analysis.

A) CRM systems
B) Data-mining systems
C) Business intelligence systems
D) Reporting systems
E) Expert Systems

Question 53

The purpose of (a)________ is to extract and clean data from operational systems and other sources.

A) cluster analysis
B) data mart
C) data warehouse
D) regression analysis
E) data mining

Question 54

Which of the following is an assumption about information systems that Ackoff disputed?

A) Computer speed doubles every 18 months.
B) There is too much uncertainty in making any decision.
C) Managers have no problem making decisions if they get the data they need.
D) Managers that make decisions do not get irrelevant data.
E) There is too much information.

Question 55

An OLAP report has

A) measures and dimensions.
B) averages.
C) dimensions.
D) measures and averages.
E) measures.

Question 56

________ encapsulate the knowledge of human experts in the form of if-then rules.

A) Data mining systems
B) Expert Systems
C) Business intelligence applications
D) Reporting systems
E) CRM systems

Question 57

________ integrate data from multiple sources,and process those data by sorting,grouping,summing,averaging,and comparing.

A) Reporting systems
B) Supplier Relationship Management systems
C) Business intelligence systems
D) Expert Systems
E) Customer Relationship Management systems

Question 58

Which of the following systems fosters innovation,improves customer service,and increases organizational responsiveness by sharing knowledge of products,product uses,and best practices?

A) Market-basket Analysis
B) Regression Analysis Systems
C) Data-mining Systems
D) Knowledge Management Systems
E) Expert Systems

Question 59

If transactions are entered and processed immediately upon entry,then the system is operating in

A) transaction time.
B) batch mode.
C) unprotected mode.
D) online mode.
E) real time.

Question 60

With ________,analysts do not create a model or hypothesis before running the analysis.Instead,they apply the data-mining technique to the data and observe the results.

A) regression analysis
B) supervised data mining
C) neural networks
D) cluster analysis
E) unsupervised data mining

Question 61

Thomas Davenport noted that a major grocery chain used less than ________ percent of its scanner data

A) 1
B) 2
C) 3
D) 4
E) 5

Question 62

Why does the exponential growth in data matter?

A) There was too little data before.
B) Managers know what data they need.
C) Information overload is a blessing.
D) Getting the right information at the right time can improve decisions.
E) You can make money with data.

Question 63

The decision to use batch or real time processing should depend upon

A) the nature of the transactions and the needs of the organization.
B) the nature of the transactions.
C) the needs to the organization.
D) the existing infrastructure of the organization.
E) the needs to the organization and the existing infrastructure of the organization.

Question 64

In an OLAP system a measure is (are)

A) a data item of interest.
B) a report.
C) data items that are summed.
D) processed data.
E) a characteristic of a dimension.

Question 65

________ systems are the backbone of all functional,cross-functional,and inter-organizational systems in an organization.

A) OLAP
B) Batch processing
C) OLTP
D) LDAP
E) Real time

Question 66

A nonprofit organization can process a donation without knowing the donor's gender or age,but a data mining application that looks at differences in donation behaviours based on gender would be impaired.This data problem is known as

A) too fine data.
B) missing values.
C) inconsistent data.
D) incomplete or inaccurate data.
E) too coarse data.

Question 67

When an area code changes in a database,the phone number for a given customer before the change will not match the customer's number after the change.This is an example of

A) too fine data.
B) too coarse data.
C) missing values.
D) incomplete or inaccurate data.
E) inconsistent data.

Question 68

Highly summarized data is known as being

A) coarse.
B) fine.
C) inconsistent.
D) too summarized.
E) too comprehensive.

Question 69

Billy Beane is generally credited with introducing

A) new methods of scouting players for the National Hockey League.
B) scientific and statistical techniques that capture more data for major league baseball.
C) market-basket analysis in major leage baseball.
D) developing OLTP software.
E) real-time processing to business processes

Question 70

Which of the following is a synonym for data-mining?

A) Data discovery
B) Cluster analysis
C) Data mart
D) Data parsing
E) Knowledge discovery in databases

Question 71

It is usually better to have data granularity that is ______________ rather than too coarse.

A) dirty data
B) missing values
C) inconsistent
D) more recent
E) too fine

Question 72

Clickstream data is often ___________ and much of it has to be discarded.

A) incomplete or inaccurate data.
B) too coarse.
C) inconsistent data.
D) missing value.
E) too fine.

Question 73

By sharing knowledge companies can

A) improve the decision making of non-experts.
B) mine data better.
C) foster innovation.
D) have more complete information systems.
E) automate decision making.

Question 74

Experts in a communications company believe that cell phone usage on weekends is determined by the age of the customer and the number of months the customer has the cell phone account.Which of the following technique could be used to analyze the data?

A) Regression analysis
B) Unsupervised data-mining
C) Neural networks
D) Cluster analysis
E) Market-based analysis

Question 75

Your local burger joint wants to reap the benefits of improved decision making by using its sales data.In order to do this,it must

A) use reporting systems as part of its complete information systems.
B) incorporate data-mining products as part of its complete information systems.
C) follow best practices and adopt an ERP.
D) adopt an expert system into its existing information system.
E) adopt knowledge management systems into its existing information system.

Question 76

Clickstream data is

A) a record of customer's or visitor's behavior on a website.
B) not used for market basket predictions.
C) inconsistent.
D) too summarized.
E) the end result of data mining.

Question 77

The data processing strategy that waits for many transactions to pile up before they are processed is called

A) LDAP.
B) delayed processing.
C) batch processing.
D) OLTP.
E) OLAP.

Question 78

To realize a competitive advantage from data an organization must

A) collect the data.
B) view data as a liability.
C) use the data to make better decisions.
D) view data as an asset.
E) analyze the data.

Question 79

An RFM analysis is a

A) data-mining system.
B) way of recording an individual customer's spending habits.
C) way of analyzing and ranking customers according to their purchasing patterns.
D) way of recording a customer's most recent purchases.
E) way of analyzing a customer's most recent purchases.

Question 80

It is better to have data that is too fine than too coarse because fine data can be converted to coarse data by

A) separating the data into its constituent parts.
B) using regression analysis.
C) placing the data into a data mart.
D) summing and combining the data.
E) placing the data into a data warehouse.