Deck 9: Business Intelligence Systems
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Deck 9: Business Intelligence Systems
1
Business intelligence (BI)systems have only four of the five components of an information system: hardware, software, data, and people.
False
2
A data mart is a data collection that addresses a particular functional area of the business.
True
3
The software component of a BI system is called a BI application.
True
4
It is possible to capture the customers' clicking behavior using clickstream data.
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5
The three primary activities in the BI process are to acquire data, perform analysis, and publish results.
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6
The three fundamental categories of BI analysis are reporting, data mining, Big data and knowledge management.
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7
Granularity is a term that refers to the level of detail represented by the data.
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8
Data acquisition is the process of creating business intelligence.
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9
Problematic data are termed dirty data.
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10
A value of 999-999-9999 for a U.S.phone number is an example of dirty data for BI purpose.
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11
A reporting application is a BI application that inputs data from one or more sources and applies reporting operations to that data to produce business intelligence.
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12
It is better to have data with too coarse a granularity, than data with too fine a granularity.
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13
Operational data is structured for fast and reliable transaction processing.
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14
Push publishing requires the user to request BI results.
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15
The five basic reporting operations that produce business intelligence can all be accomplished using SQL and basic HTML or a simple report writing tool.
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16
Data warehouses do not include data that are purchased from outside sources.
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17
Report servers are specialized Web servers.
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18
Data mart is another term used for a data warehouse.
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19
Placing BI applications on operational servers can dramatically increase system performance.
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20
A data mart is a lot larger than a data warehouse.
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21
A common business application of decision trees is to classify loans by likelihood of default.
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22
Data mining is the application of statistical techniques to find patterns and relationships among data for classification and prediction.
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23
A drawback associated with OLAP reports is their inability to let users drill down into the data.
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24
Cluster analysis is used to identify groups of entities that have similar characteristics.
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25
In market-basket terminology, confidence is the probability that two items will be purchased together.
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26
Knowledge discovery in databases (KDD)is used as a synonym for data mining.
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27
An OLAP cube and an OLAP report are the same thing.
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28
In market-basket terminology, a conditional probability estimate is called lift.
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29
Total sales, average sales, and average cost are examples of dimensions used in an OLAP report.
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30
With unsupervised data mining, analysts do not create a model or hypothesis before running the analysis.
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31
Neural networks are a popular unsupervised data mining technique used to predict values and make classifications.
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32
RFM analysis considers how recently (R)a customer ordered, how frequently (F)they ordered, and how much margin (M)the company made on the orders.
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33
Regression analysis measures the effect of a set of variables on another variable.
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34
OLAP provides the ability to sum, count, average, and perform other simple arithmetic operations on groups of data.
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35
MapReduce is a technique for harnessing the power of thousands of computers working in parallel.
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36
A decision tree analysis is a supervised data mining technique.
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37
In marketing transactions, the fact that customers who buy product X also buy product Y creates a cross-selling opportunity.
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38
In supervised data mining, a model is developed after the analysis.
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39
The remarkable characteristic of OLAP reports is that they are dynamic.
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40
In an OLAP report, a measure is the data item of interest.
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41
Expert systems are rule-based systems that use "If ...then" rules unlike those created by decision tree analysis.
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42
________ requires the user to request BI results.
A)Push publishing
B)Pull publishing
C)Desktop publishing
D)Accessible publishing
A)Push publishing
B)Pull publishing
C)Desktop publishing
D)Accessible publishing
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43
Because of the various problems with operational data, large organizations choose to extract operational data and store them into a(n)________.
A)OLAP cube
B)neural network
C)data warehouse
D)Web server
A)OLAP cube
B)neural network
C)data warehouse
D)Web server
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44
Which of the following is true of source data for a BI system?
A)It refers to the organization's metadata.
B)It refers to data that the organization purchases from data vendors.
C)It refers to the level of detail represented by the data.
D)It refers to the hierarchical arrangement of criteria that predict a classification or a value.
A)It refers to the organization's metadata.
B)It refers to data that the organization purchases from data vendors.
C)It refers to the level of detail represented by the data.
D)It refers to the hierarchical arrangement of criteria that predict a classification or a value.
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45
All management data needed by any of the BI servers is stored in metadata.
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46
In expert systems, the programs that process a set of rules are called expert systems shells.
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47
Problematic operational data are termed ________.
A)bad data
B)rough data
C)dirty data
D)granular data
A)bad data
B)rough data
C)dirty data
D)granular data
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48
Which of the following is a fundamental category of BI analysis?
A)automation
B)catalog
C)report servers
D)data mining
A)automation
B)catalog
C)report servers
D)data mining
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49
________ is defined as information containing patterns, relationships, and trends of various forms of data.
A)Process mining
B)Business process management
C)Business intelligence
D)Spatial intelligence
A)Process mining
B)Business process management
C)Business intelligence
D)Spatial intelligence
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50
________ records the source, format, assumptions and constraints, and other facts about the data.
A)Clickstream data
B)Dimensional data
C)Outsourced data
D)Metadata
A)Clickstream data
B)Dimensional data
C)Outsourced data
D)Metadata
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51
________ is a term that refers to the level of detail represented by the data.
A)Granularity
B)Intricacy
C)Elaboration
D)Complexity
A)Granularity
B)Intricacy
C)Elaboration
D)Complexity
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52
Knowledge management was done only after the advent of social media.
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53
Data ________ is the process of obtaining, cleaning, organizing, relating, and cataloging source data.
A)entry
B)acquisition
C)mining
D)encryption
A)entry
B)acquisition
C)mining
D)encryption
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54
KM fosters innovation by encouraging the free flow of ideas.
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55
Hadoop is an open-source program supported by the Apache Foundation4 that implements MapReduce on potentially thousands of computers.
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56
A sales report that is current as of the time the user accessed it on a Web server is a static report.
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57
Push publishing delivers business intelligence ________.
A)according to a schedule or as a result of an event or particular data condition
B)through reporting, data mining, and knowledge management
C)by obtaining, cleaning, organizing, relating, and cataloging source data
D)in response to requests from users
A)according to a schedule or as a result of an event or particular data condition
B)through reporting, data mining, and knowledge management
C)by obtaining, cleaning, organizing, relating, and cataloging source data
D)in response to requests from users
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58
Static reports are BI documents that are fixed at the time of creation and do not change.
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59
A BI server extends alert/RSS functionality to support user subscriptions.
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60
Dynamic reports are BI documents that are updated at the time they are requested.
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61
The remarkable characteristic of OLAP reports is that they are ________, as they are online and the viewer of the report can change their format.
A)extensible
B)informal
C)specific
D)dynamic
A)extensible
B)informal
C)specific
D)dynamic
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62
Ajax is one of the customers of a well-known linen manufacturing company.Ajax has not ordered linen in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value.Under the given circumstances, Ajax's RFM score is most likely ________.
A)155
B)511
C)555
D)151
A)155
B)511
C)555
D)151
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63
An ________ and an OLAP report are the same thing.
A)OLAP measure
B)OLAP cube
C)OLAP dimension
D)OLAP array
A)OLAP measure
B)OLAP cube
C)OLAP dimension
D)OLAP array
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64
A data ________ is a data collection, smaller than the data warehouse, that addresses a particular department or functional area of the business.
A)mart
B)mine
C)cube
D)model
A)mart
B)mine
C)cube
D)model
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65
The viewer of an OLAP report can change its format.Which term implies this capability?
A)processing
B)analytical
C)dimension
D)online
A)processing
B)analytical
C)dimension
D)online
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66
How should a sales team respond to a customer who has an RFM score of 545?
A)The sales team should contact this customer immediately.
B)The sales team should let go of this customer; the loss will be minimal.
C)The sales team should attempt to up-sell more expensive goods to this customer.
D)The sales team should spend more time with this customer.
A)The sales team should contact this customer immediately.
B)The sales team should let go of this customer; the loss will be minimal.
C)The sales team should attempt to up-sell more expensive goods to this customer.
D)The sales team should spend more time with this customer.
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67
Which of the following statements is true about operational data?
A)It is always better to have data with too coarse a granularity than with too fine a granularity.
B)If the data granularity is too coarse, the data can be made finer by summing and combining.
C)Purchased operational data often contains missing elements.
D)Problematic operational data are termed rough data.
A)It is always better to have data with too coarse a granularity than with too fine a granularity.
B)If the data granularity is too coarse, the data can be made finer by summing and combining.
C)Purchased operational data often contains missing elements.
D)Problematic operational data are termed rough data.
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68
Which of the following statements is true about data marts?
A)A data mart is like a distributor in a supply chain, while a data warehouse can be compared to a retail store.
B)Data mart users possess the data management expertise that data warehouse employees have.
C)Data marts address only a particular component or functional area of a business.
D)Data marts are larger than data warehouses.
A)A data mart is like a distributor in a supply chain, while a data warehouse can be compared to a retail store.
B)Data mart users possess the data management expertise that data warehouse employees have.
C)Data marts address only a particular component or functional area of a business.
D)Data marts are larger than data warehouses.
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69
U.S.Steel Corp.is a well-known steel manufacturing company.SAMCROW, one of the customers of U.S.Steel Corp.holds an RFM score of 111.Which of the following characteristics relates SAMCROW with its RFM score?
A)SAMCROW has ordered recently and orders frequently, but it orders the least expensive goods.
B)SAMCROW has not ordered in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value.
C)SAMCROW has not ordered for some time, it did not order frequently, and, when it did order, it bought the least-expensive items.
D)SAMCROW has ordered recently and orders frequently, and it orders the most expensive goods.
A)SAMCROW has ordered recently and orders frequently, but it orders the least expensive goods.
B)SAMCROW has not ordered in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value.
C)SAMCROW has not ordered for some time, it did not order frequently, and, when it did order, it bought the least-expensive items.
D)SAMCROW has ordered recently and orders frequently, and it orders the most expensive goods.
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70
________ analysis is a way of analyzing and ranking customers according to their purchasing patterns.
A)TQM
B)CRM
C)Market-basket
D)RFM
A)TQM
B)CRM
C)Market-basket
D)RFM
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71
RFM analysis is used to analyze and rank customers according to their ________.
A)purchasing patterns
B)propensity to respond to a marketing stimulus
C)socio-economic status
D)motivation and needs
A)purchasing patterns
B)propensity to respond to a marketing stimulus
C)socio-economic status
D)motivation and needs
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72
Due to a phenomenon called the ________, the more attributes there are, the easier it is to build a model that fits the sample data but that is worthless as a predictor.
A)attribute paradox
B)curse of dimensionality
C)uncertainty principle
D)economies of scale
A)attribute paradox
B)curse of dimensionality
C)uncertainty principle
D)economies of scale
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73
An OLAP report has measures and dimensions.Which of the following is an example of a dimension?
A)total sales
B)average sales
C)sales region
D)average cost
A)total sales
B)average sales
C)sales region
D)average cost
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74
A ________ takes data from the data manufacturers, cleans and processes the data, and then stores it.
A)data mart
B)data mine
C)data warehouse
D)data model
A)data mart
B)data mine
C)data warehouse
D)data model
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75
OLAP stands for ________.
A)online analytical processing
B)object-based lead analysis procedure
C)object-oriented analytical protocol
D)organizational lead analysis process
A)online analytical processing
B)object-based lead analysis procedure
C)object-oriented analytical protocol
D)organizational lead analysis process
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76
Which of the following is an example of a measure in an OLAP report?
A)customer type
B)purchase date
C)sales region
D)average cost
A)customer type
B)purchase date
C)sales region
D)average cost
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77
A sales team should attempt to up-sell more expensive products to a customer who has an RFM score of ________.
A)311
B)555
C)113
D)545
A)311
B)555
C)113
D)545
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78
Which of the following accurately defines a dimension in an OLAP report?
A)It is a characteristic of a measure.
B)It is the item that is processed in the OLAP report.
C)It is the data item of interest.
D)It is referred to as a decision tree.
A)It is a characteristic of a measure.
B)It is the item that is processed in the OLAP report.
C)It is the data item of interest.
D)It is referred to as a decision tree.
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79
Which of the following is a basic operation used by reporting tools to produce information from data?
A)coalescing
B)transposing
C)dispersing
D)calculating
A)coalescing
B)transposing
C)dispersing
D)calculating
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80
Which of the following statements is true about reporting applications?
A)Reporting applications deliver business intelligence to users as a result of an event or particular data condition.
B)Reporting applications consist of five standard components: hardware, software, data, procedures, and people.
C)Two important reporting applications are RFM analysis and OLAP.
D)Reporting applications produce business intelligence using highly sophisticated operations.
A)Reporting applications deliver business intelligence to users as a result of an event or particular data condition.
B)Reporting applications consist of five standard components: hardware, software, data, procedures, and people.
C)Two important reporting applications are RFM analysis and OLAP.
D)Reporting applications produce business intelligence using highly sophisticated operations.
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