Deck 8: E-Commerce and Web 2.0

Question 1

By sharing knowledge companies can

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

Answer 1

C

Question 2

It is almost certain that in reality,when you take on a data -mining project,the data will be

A)full of viruses.
B)formatted properly.
C)dirty.
D)buggy.
E)inconsistent.

Answer 2

C

Question 3

Clickstream data are usually

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

Answer 3

D

Question 4

An OLAP report has

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

Question 5

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

A)Business intelligence
B)Data -mining systems
C)Reporting systems
D)Customer Relationship Management
E)Expert Systems

Question 6

Your local burger joint wants to reap the benefits of improved decision making.In order to do this they must

A)incorporate data -mining products as part of its complete information systems.
B)follow best practices.
C)adopt an expert system into their existing information system.
D)use market -basket analysis.
E)use business intelligence tools.

Question 7

__________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)Shopping cart
C)Data -mining
D)Marketing
E)Value chain

Question 8

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

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

Question 9

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

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

Question 10

__________is/are information system(s)that provides information for improving decision making.

A)Customer Relationship Management
B)Expert Systems
C)Supplier Relationship Management
D)Business Intelligence
E)Knowledge Management Systems

Question 11

Sometimes,large organizations break out __________from their data warehouses so they can be used for a specific functional area of the organization like marketing or finance.

A)database servers
B)OLAP applications
C)Web services
D)special groupings
E)data marts

Question 12

What are common problems with data?

A)dirty data
B)either too fine or too coarse
C)inconsistent data
D)missing values
E)all of the above

Question 13

A nonprofit organization can process a donation without knowing the donor's gender or age but a data mining program looking at differences in gender in donation behaviour.This causes a problem with the data known as

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

Question 14

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

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

Question 15

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

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

Question 16

The abundance of information is sometimes called

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

Question 17

_________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)Expert Systems
B)Business intelligence
C)Knowledge management systems
D)Customer Relationship Management
E)Data mining systems

Question 18

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

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

Question 19

A data warehouse contains a special database that stores the __________, which records its source, history,format,and constraints.

A)metadata
B)media format
C)dirty data
D)dimensional data
E)clickstream data

Question 20

In most cases,data -mining systems are used to make

A)predictions.
B)solutions.
C)relationships.
D)decisions.
E)assessments.

Question 21

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

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

Question 22

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)Supervised data -mining
C)Neural networks
D)Cluster analysis
E)Unsupervised data -mining

Question 23

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

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

Question 24

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 25

Data -mining techniques include

A)supplier relationship management.
B)customer relationship management.
C)market basket analysis.
D)data marting.
E)data warehousing.

Question 26

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

Question 27

Why does the exponential growth in data matter?

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

Question 28

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

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

Question 29

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

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

Question 30

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

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

Question 31

An RFM analysis is a

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

Question 32

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

A)0)33 yottabytes.
B)3)3 zettabytes.
C)3)3 exabytes.
D)33 petabytes.
E)330 petabytes.

Question 33

In an OLAP system a measure is (are)

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

Question 34

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

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

Question 35

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

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

Question 36

Problematic data are termed

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

Question 37

Which of the following systems fosters innovation,improves customer service,increases organizational responsiveness by getting products and services to market faster,and reducing costs?

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

Question 38

The purpose of a business intelligence system is to provide the right information to the right people at the right

A)level of complexity.
B)price.
C)situation.
D)place.
E)time.

Question 39

Data __________ refers to the degree of summarization or detail.

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

Question 40

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

A)403
B)3)3
C)430
D)330
E)304

Question 41

For developing BI applications,it is generally better to have too __________ a granularity rather than too coarse.

Question 42

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)placing the data into a data warehouse.
C)using regression analysis.
D)placing the data into a data mart.
E)summing and combining the data.

Question 43

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

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

Question 44

Billy Beane is generally credited with introducing

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

Question 45

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

Question 46

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

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

Question 47

__________ analysis that identifies groups of entities with similar characteristics is a common unsupervised data -mining technique.

Question 48

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

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

Question 49

When data sets have missing values or invalid entries it is called__________ data.

Question 50

__________ is a problem that occurs when data -mining is used to create overly complex models that are not suited to making accurate predictions.

A)Dirty data
B)Model degradation
C)Overfitting
D)Clean data
E)Inconsistent data

Question 51

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

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

Question 52

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

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

Question 53

Highly summarized data is known as being

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

Question 54

A value of 999 -000 -0000 for a Canadian phone number is an example of

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

Question 55

__________ systems integrate data from a variety of sources,process that data,and produce and deliver formatted reports to users.

A)Data -mining
B)RFP
C)Web service
D)XML
E)Reporting

Question 56

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

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

Question 57

__________ is the application of statistical techniques to find patterns and relationships among data and to classify data predict.

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

Question 58

The "curse of dimensionality" means the more attributes there are in the data warehouse the __________ it is to build a model that fits them.

A)less effective
B)costlier
C)harder
D)easier
E)more important

Question 59

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

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

Question 60

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

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

Question 61

__________refers to the relative level of detail that data represents.

Question 62

___________systems are the equivalent of a telescope for data.They help us to search huge amounts of data for patterns and relationships.

Question 63

___________is the application of statistical techniques to find patterns and relationships among data and to classify and predict.

Question 64

___________analysis measures the impact of a set of variables on another variable.

Question 65

While data may be collected in OLTP,the data may not be used to improve decision making.We refer to this as the ___________ .

Question 66

__________encapsulate the knowledge of human experts in the form of it/then rules.

Question 67

There are two general categories of data -mining techniques; supervised and__________ .

Question 68

BI systems for reporting focus mainly on __________ .

Question 69

Data -mining projects are__________because you never know how they will turn out,and senior management may have high expectations about the results.

Question 70

__________are another popular data -mining technique,which were originally based on the physiological analogy of how the neurons in the brain process huge amounts of data.

Question 71

___________refers to the degree of summarization or detail.

Question 72

___________is a data -mining system which computes correlations of items on past orders to determine items that are frequently purchased together.

Question 73

Data from a Siebel CRM system and an Oracle supply chain management application usually must be__________ before they can be used together for BI processing.

Question 74

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

Question 75

__________ systems 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 others who need it.

Question 76

__________analysis is the most common kind of supervised data -mining technique.

Question 77

A__________ is a subset of a data warehouse that addresses a particular component or functional area of the business.

Question 78

Many organizations create a special facility called a(n)___________ by extracting operational data and cleaning it up for more sophisticated data analysis.

Question 79

______is data about data.

Question 80

Systems that focus on making data collected in OLTP useful for decision making are often referred to as __________ .