Deck 11: Business Intelligence
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Deck 11: Business Intelligence
1
An RFM analysis analyzes and ranks customers based on demographic characteristics.
False
2
An RFM analysis considers how recently a customer has ordered and how much the customer has spent.
True
3
Analyzing patterns in databases is a function of business intelligence.
True
4
Analyzing operational data is the first activity in the informing process.
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5
A digital dashboard is an electronic medium used to output data in the reporting process.
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6
RFM analysis produces interactive reports to analyze purchasing patterns.
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7
In an RFM analysis conducted on a scale of 1 to 5, an M score of 5 is assigned to 20 percent of the customers who spend the least on orders.
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8
One of the applications of the data mining process is to predict products that tend to be purchased together.
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9
OLAP provides the ability to analyze data using basic operations such as sorting, grouping, calculating, filtering, and formatting.
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10
Noninteractive analyses use a predetermined structure for their output.
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11
The data mining process has the same activities as the reporting process.
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12
Online analytical processing is a common term used for noninteractive reporting.
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13
An RFM score of 555 (R=5; F=5; M=5, on a scale of 1-5)indicates that the customer frequently purchases expensive items.
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14
An OLAP measure is the item that is to be summed, averaged, or otherwise processed in the OLAP report.
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15
A data warehouse is a special type of database configured for business intelligence applications.
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16
Business intelligence refers to an information system that supports a process called informing.
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17
The reporting process creates unstructured reports.
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18
A business intelligence system is an information system that supports business processes by consolidating and analyzing data in a large database to help users create information.
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19
An informing process is separated from the other processes in an organization.
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20
The analysis activity in the reporting process is sophisticated and complex.
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21
A data warehouse is specially designed to sort and retrieve large volumes of data.
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22
BI software varies based on the analysis method used.
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23
Problematic data that is presented for business intelligence is called clustered data.
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24
Market basket analysis is a technique used to determine sales patterns.
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25
Market basket analysis is a technique used to form an equation that predicts market behavior.
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26
With unsupervised data mining, analysts create a model or hypothesis before running the analysis .
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27
Regression analysis is used in sports to predict future performance.
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28
A BI server is used by an analyst to analyze data and produce the output.
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29
Regression analysis is an example of unsupervised data mining.
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30
The data mining process uses advanced statistical techniques to find patterns and relationships among data for classification and prediction.
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31
Supervised data analysis is also known as data-driven analysis.
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32
Regression analysis is a type of data mining analysis that measures the impact of a set of variables on another variable.
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33
The methods of interactions in BI depend on the user's objectives and the nature of the BI system.
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34
Cluster analysis is a common form of analysis used in the reporting process.
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35
Postelection analysis is an example of supervised data mining.
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36
A decision tree is a hierarchical arrangement of criteria that predict a classification or a value.
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37
Data mining analyses are noninteractive.
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38
The primary objective of a reporting process is predicting patterns and relationships in data.
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39
With an OLAP report, it is possible to drill down into data.
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40
BI metadata is data about the source of the data, its format, its assumptions and constraints, and other facts about the data.
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41
Which of the following types of analyses is used in the reporting process?
A) market basket analysis
B) RFM analysis
C) cluster analysis
D) regression analysis
A) market basket analysis
B) RFM analysis
C) cluster analysis
D) regression analysis
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42
Data is said to be nonintegrated when it contains missing elements.
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43
Which of the following activities of the informing process is typically performed by end-users?
A) storing data in a data warehouse
B) collecting data
C) preparing a data warehouse
D) creating information from the output
A) storing data in a data warehouse
B) collecting data
C) preparing a data warehouse
D) creating information from the output
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44
Which of the following is true regarding the data mining process?
A) It uses interactive and noninteractive analyses.
B) Its activities are entirely different from those in the reporting process.
C) It uses simple statistical techniques for data analysis.
D) Its objective is better prediction.
A) It uses interactive and noninteractive analyses.
B) Its activities are entirely different from those in the reporting process.
C) It uses simple statistical techniques for data analysis.
D) Its objective is better prediction.
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45
Online transactional processing is the equivalent of strategic decision making.
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46
The special type of database configured for business intelligence applications is called a ________.
A) data warehouse
B) data matrix
C) data array
D) data set
A) data warehouse
B) data matrix
C) data array
D) data set
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47
Visualization is the live or indirect view of the real world augmented by computer-based data.
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48
Augmented reality is a mashup of the real world supplemented by data about the objects in that world.
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49
Which of the following is the first activity in the informing process?
A) storing data in a data warehouse
B) collecting data
C) transforming data into a usable format
D) creating information from the output
A) storing data in a data warehouse
B) collecting data
C) transforming data into a usable format
D) creating information from the output
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50
A credit card provider uses a software to determine the likelihood of customers defaulting on their payments. The software assigns a credit score to each customer based on their past transactional records. This software is an example of a(n)________ system.
A) project management
B) business intelligence
C) collaboration
D) budgeting
A) project management
B) business intelligence
C) collaboration
D) budgeting
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51
BI analysts often know much more about a BI system than the processes it supports.
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52
An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of a(n)________ process.
A) reporting
B) extracting
C) evaluating
D) data mining
A) reporting
B) extracting
C) evaluating
D) data mining
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53
Oracle is an example of a pure-play BI company.
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54
Which of the following is NOT true about the informing process?
A) It is integrated with another process and supports other processes.
B) It does not require BI systems.
C) It is used to provide insight to users and improve the quality of their information.
D) It cannot be standardized.
A) It is integrated with another process and supports other processes.
B) It does not require BI systems.
C) It is used to provide insight to users and improve the quality of their information.
D) It cannot be standardized.
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55
Clickstream data is used to track everything the customer does at a Web site.
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56
SAP analysis of data is called online analytical processing (OLAP).
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57
Which of the following statements is true about business intelligence systems?
A) They help identify patterns in mountains of data.
B) Their use by private organizations is restricted by law.
C) They require highly trained analysts to uncover data patterns.
D) They are expensive to acquire due to the rising cost of data storage.
A) They help identify patterns in mountains of data.
B) Their use by private organizations is restricted by law.
C) They require highly trained analysts to uncover data patterns.
D) They are expensive to acquire due to the rising cost of data storage.
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58
Which of the following statements is true of the reporting process?
A) It is generally accomplished with just operational data.
B) It creates unstructured reports and delivers them to users.
C) It involves the use of sophisticated statistical techniques.
D) Its objective is better prediction.
A) It is generally accomplished with just operational data.
B) It creates unstructured reports and delivers them to users.
C) It involves the use of sophisticated statistical techniques.
D) Its objective is better prediction.
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59
The operational data collected by SAP is known as Business Objects.
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60
Granularity refers to the inconsistencies and missing values that exist within data.
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61
________ analysis uses statistical techniques to identify groups of entities that have similar characteristics.
A) Market basket
B) RFM
C) Cluster
D) Regression
A) Market basket
B) RFM
C) Cluster
D) Regression
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62
________ analysis is a type of data mining analysis which measures the impact of a set of variables on another variable.
A) Market basket
B) RFM
C) Cluster
D) Regression
A) Market basket
B) RFM
C) Cluster
D) Regression
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63
Which of the following is the major difference between OLAP and RFM analysis?
A) OLAP sorts data to derive conclusions whereas RFM analysis does not.
B) OLAP is used during the data preparation stage of the reporting process whereas RFM analysis is used during the analysis stage.
C) OLAP uses the basic analysis operations of grouping and filtering whereas RFM analysis does not.
D) OLAP produces interactive reports whereas RFM analysis produces noninteractive reports.
A) OLAP sorts data to derive conclusions whereas RFM analysis does not.
B) OLAP is used during the data preparation stage of the reporting process whereas RFM analysis is used during the analysis stage.
C) OLAP uses the basic analysis operations of grouping and filtering whereas RFM analysis does not.
D) OLAP produces interactive reports whereas RFM analysis produces noninteractive reports.
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64
An OLAP report that displays information using three dimensions is called an OLAP ________.
A) warehouse
B) dashboard
C) cluster
D) cube
A) warehouse
B) dashboard
C) cluster
D) cube
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65
Noninteractive analyses ________.
A) use advanced statistical techniques
B) allow users to specify the format of the output
C) use a predetermined structure for their output
D) tend to be unstructured and flexible
A) use advanced statistical techniques
B) allow users to specify the format of the output
C) use a predetermined structure for their output
D) tend to be unstructured and flexible
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66
An OLAP ________ is a characteristic or attribute of a measure.
A) cube
B) dimension
C) dashboard
D) cluster
A) cube
B) dimension
C) dashboard
D) cluster
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67
Drilling down into data means ________.
A) changing the format of stored data
B) grouping data into clusters
C) dividing the data into more detail
D) downsizing a database by deleting files
A) changing the format of stored data
B) grouping data into clusters
C) dividing the data into more detail
D) downsizing a database by deleting files
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68
________ provides the ability to analyze data using basic operations such as sorting, grouping, calculating, filtering, and formatting in an interactive structure.
A) OLAP
B) RFM analysis
C) Market basket analysis
D) Regression analysis
A) OLAP
B) RFM analysis
C) Market basket analysis
D) Regression analysis
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69
Regression analysis is used to ________.
A) rank customers according to their purchasing patterns
B) predict future performance
C) identify groups of entities that have similar characteristics
D) perform basic operations
A) rank customers according to their purchasing patterns
B) predict future performance
C) identify groups of entities that have similar characteristics
D) perform basic operations
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70
A(n)________ analysis analyzes and ranks customers according to their purchasing patterns.
A) regression
B) cluster
C) RFM
D) market basket
A) regression
B) cluster
C) RFM
D) market basket
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71
Which of the following statements is true about RFM analysis?
A) It ranks customers based on their purchasing power.
B) It is a common type of noninteractive report.
C) It uses unsorted data to produce an RFM score.
D) It identifies groups of entities that have similar characteristics.
A) It ranks customers based on their purchasing power.
B) It is a common type of noninteractive report.
C) It uses unsorted data to produce an RFM score.
D) It identifies groups of entities that have similar characteristics.
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72
________ analysis determines sales patterns such as products that customers tend to buy together.
A) RFM
B) Cluster
C) Regression
D) Market basket
A) RFM
B) Cluster
C) Regression
D) Market basket
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73
An OLAP measure is a(n)________.
A) characteristic of an OLAP report
B) data item to be processed in an OLAP report
C) attribute of an OLAP report
D) detailed report on a data structure
A) characteristic of an OLAP report
B) data item to be processed in an OLAP report
C) attribute of an OLAP report
D) detailed report on a data structure
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74
The supermarket from which Robert purchases groceries gives him an RFM score of 115 (R=1; F=1; M=5, on a scale of 1 to 5). Based on this information, which of the following is a valid conclusion?
A) Robert recently made a big purchase at the supermarket.
B) Robert does not shop frequently at the supermarket.
C) Robert has not purchased anything from the supermarket recently.
D) Robert frequently purchases inexpensive items from the supermarket.
A) Robert recently made a big purchase at the supermarket.
B) Robert does not shop frequently at the supermarket.
C) Robert has not purchased anything from the supermarket recently.
D) Robert frequently purchases inexpensive items from the supermarket.
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75
An RFM score of 555 (R=5; F=5; M=5, on a scale of 1 to 5)assigned to a customer indicates that the customer ________.
A) buys expensive items frequently
B) has not purchased anything recently but buys frequently
C) has not purchased anything recently
D) buys inexpensive items frequently
A) buys expensive items frequently
B) has not purchased anything recently but buys frequently
C) has not purchased anything recently
D) buys inexpensive items frequently
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76
In an RFM analysis, what will be the M score of a customer who spends the least amount of money, when rated on a scale of 1 to 5?
A) 5
B) 1
C) 0
D) 2
A) 5
B) 1
C) 0
D) 2
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77
A retail store wants to identify the types of products that they should bundle together on sale. Which of the following types of analysis would be most suitable for this purpose?
A) market basket
B) RFM
C) cluster
D) OLAP
A) market basket
B) RFM
C) cluster
D) OLAP
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78
Cluster analysis is an example of a(n)________ process.
A) data mining
B) online analytical
C) reporting
D) visualization
A) data mining
B) online analytical
C) reporting
D) visualization
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79
Selling related products to customers is called ________.
A) hard-selling
B) down-selling
C) up-selling
D) cross-selling
A) hard-selling
B) down-selling
C) up-selling
D) cross-selling
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80
A digital dashboard is a(n)________.
A) electronic input device used in business intelligence systems
B) information system that is used to enter data into databases
C) electronic display that is customized for a particular user
D) digital device in the central processing unit of a BI system
A) electronic input device used in business intelligence systems
B) information system that is used to enter data into databases
C) electronic display that is customized for a particular user
D) digital device in the central processing unit of a BI system
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