Deck 9: Business Intelligence Systems

Question 1

________ delivers business intelligence to users without any request from the users.

A) Push publishing
B) Pull publishing
C) Desktop publishing
D) Accessible publishing
E) Pulse publishing

Answer 1

A

Question 2

Which of the following phenomena states that the more attributes there are, the easier it is to build a model that fits the sample data?

A) attribute paradox
B) curse of dimensionality
C) uncertainty principle
D) economies of scale
E) Murphy's law

Answer 2

B

Question 3

A data ________ is a data collection, smaller than the data warehouse that addresses the needs of a particular department or functional area of the business.

A) mart
B) mine
C) cube
D) model
E) conduit

Answer 3

A

Question 4

________ 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
E) Pattern recognition

Question 5

Which of the following statements is True of source data for a business intelligence (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 detailed level of data.
D) It refers to the hierarchical arrangement of criteria that predict a classification or a value.
E) It refers to the relative strength of data's predictive capabilities.

Question 6

The three primary activities in the business intelligence (BI) process are to acquire data, perform analysis, and publish results.

Question 7

Data warehouses may include data that is purchased from outside sources.

Question 8

Problematic operational data is termed as ________.

A) metadata
B) rough data
C) dirty data
D) granular data
E) septic data

Question 9

________ is the process of obtaining, cleaning, organizing, relating, and cataloging source data.

A) Data entry
B) Data acquisition
C) Data mining
D) Data encryption
E) Data scrubbing

Question 10

In large organizations, a group of people manage and run a(n) ________, which is a facility for managing an organization's BI data.

A) OLAP cube
B) neural network
C) data warehouse
D) Web server
E) information tank

Question 11

Which of the following is a fundamental category of business intelligence (BI) analysis?

A) automation
B) encapsulation
C) data hiding
D) data mining
E) cataloging

Question 12

________ refers to the source, format, assumptions and constraints, and other facts about the data.

A) Clickstream data
B) Dimensional data
C) Outsourced data
D) Metadata
E) Attributed data

Question 13

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 the needs of a particular department or functional area of a business.
D) Data marts are larger than data warehouses.
E) Data marts contain only metadata for data warehouses.

Question 14

________ requires the user to request business intelligence (BI) results.

A) Push publishing
B) Pull publishing
C) Desktop publishing
D) Accessible publishing
E) Pulse publishing

Question 15

A ________ takes data from the data manufacturers, cleans and processes the data, and locates the data on the shelves.

A) data link layer
B) data mine
C) data warehouse
D) data model
E) data bus

Question 16

Capturing customers' clicking behavior is referred to as ________.

A) Clickstream data
B) Dimensional data
C) Outsourced data
D) Metadata
E) Attributed data

Question 17

________ is a term that refers to the level of detail represented by the data.

A) Granularity
B) Intricacy
C) Interoperability
D) Complexity
E) Identifiable

Question 18

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

A) missing values
B) inconsistent data
C) dirty data
D) data not integrated
E) septic data

Question 19

Operational data is structured for fast and reliable transaction processing.

Question 20

A particular BI analysis might require data from an ERP system, an e-commerce system, and a social networking application, but such a data collection will likely have relationships that are not represented in primary key/foreign key relationships. This is an example of ________.

A) missing values
B) inconsistent data
C) dirty data
D) data not integrated
E) septic data

Question 21

Ajax Inc. 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 is most likely to have an RFM score of ________.

A) 155
B) 511
C) 555
D) 151
E) 515

Question 22

Opezim Plastics has been supplying raw materials to JM Toys for five years. JM Toys has an RFM score of 121. With reference to the score, how should the sales team at Opezim respond to JM Toys?

A) The sales team should contact JM Toys immediately.
B) The sales team should let go of JM Toys, for the loss will be minimal.
C) The sales team should attempt to up-sell more expensive goods to JM Toys.
D) The sales team should spend more time with JM Toys.
E) The sales team should attempt to sell directly to the CEO.

Question 23

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) accurate
B) informal
C) specific
D) dynamic
E) precise

Question 24

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
E) average net sales

Question 25

Which of the following is a basic operation used by reporting applications to produce business intelligence?

A) coalescing
B) transposing
C) dispersing
D) calculating
E) diffusing

Question 26

It is better to have data with too coarse a granularity than too fine.

Question 27

________ analysis is a way of analyzing and ranking customers according to their purchasing patterns.

A) Regression
B) CRM
C) Market-basket
D) RFM
E) Cluster analysis

Question 28

Describe the functions of data warehouses and the need for them.

Question 29

Data mart is another term used for a data warehouse.

Question 30

Describe the features of a data mart.

Question 31

________ is a BI application that inputs data from one or more sources and applies reporting operations to that data to produce business intelligence.

A) An OLAP application
B) A reporting application
C) A NoSQL application
D) A trans enterprise application
E) A classful application

Question 32

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 anything for a while, 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 anything for a while and it did not order frequently, but 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.
E) SAMCROW has ordered recently, but orders infrequently, and it orders the most expensive goods.

Question 33

Granularity is a term that refers to the level of detail represented by the data.

Question 34

A data mart is larger than a data warehouse.

Question 35

What are the common problems with using operational data?

Question 36

Achilles Gear has four major retail customers. Based on the following RFM scores of these customers, the sales team at Achilles' should attempt to up-sell more expensive sporting goods to ________.

A) Five Star Stores with an RFM score of 214
B) Goalkeeper with an RFM score of 551
C) Pelican Stores with an RFM score of 113
D) Cable Sports Inc. with an RFM score of 545
E) WindyRiver Sports with an RFM score of 225

Question 37

The viewer of an OLAP report can change its format. Which term implies this capability?

A) processing
B) analytical
C) dimension
D) online
E) alteration

Question 38

Which of the following accurately defines a dimension in an OLAP report?

A) It is a characteristic of a measure.
B) It is an item that is processed in the OLAP report.
C) It is a data item of interest.
D) It is referred to a decision tree.
E) It is a branch in a decision tree.

Question 39

OLAP stands for ________.

A) online analytical processing
B) object-based lead analysis procedure
C) object-oriented analytical protocol
D) organizational lead analysis process
E) optimal linear analytical processing

Question 40

RFM analysis is used to analyze and rank customers according to their ________.

A) purchasing patterns
B) propensity to respond to marketing stimulus
C) socioeconomic status
D) motivation and needs
E) receptivity to promotions

Question 41

Matt, a sales analyst, predicts the sale of luxury cars by formulating an equation that uses variables such as the customer's age and monthly salary. Which of the following methods does Matt use in this case?

A) BigData analysis
B) regression analysis
C) market-basket analysis
D) cluster analysis
E) analytical hierarchical analysis

Question 42

Which of the following statements is True about unsupervised data mining?

A) Analysts do not create a model or hypothesis before running the analysis.
B) Neural networks are a popular unsupervised data mining application.
C) Unsupervised data mining requires tools such as regression analysis.
D) Data miners develop a model prior to the analysis and apply statistical techniques to data.
E) Hypotheses must be made before running the analysis.

Question 43

In ________, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.

A) cluster analysis
B) unsupervised data mining
C) supervised data mining
D) click streaming
E) metadata matching

Question 44

An advantage of OLAP reports is their ability to let users drill down into the data.

Question 45

Which of the following techniques determine sales patterns?

A) regression analysis
B) market-basket analysis
C) neural networks
D) cluster analysis
E) seasonal grouping

Question 46

An OLAP cube and an OLAP report are the same thing.

Question 47

Which of the following is an example of a supervised data mining technique?

A) cluster analysis
B) market-basket analysis
C) regression analysis
D) click streaming
E) metadata matching

Question 48

Explain the concept of RFM analysis.

Question 49

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
E) customer location

Question 50

In marketing transactions, the fact that customers who buy product X also buy product Y creates a ________ opportunity. That is, "If they're buying X, sell them Y" or "If they're buying Y, sell them X."

A) cross-selling
B) value added selling
C) break-even
D) double-sales
E) quid pro quo

Question 51

Which of the following terms is used as a synonym for data mining?

A) regression analysis
B) data warehousing
C) knowledge discovery in databases (KDD)
D) parallel processing in databases (PPD)
E) data spelunking

Question 52

In ________, statistical techniques can identify groups of entities that have similar characteristics.

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

Question 53

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

A) Data optimization
B) Database normalization
C) Data mining
D) Data warehousing
E) Data clustering

Question 54

What is a reporting application? Name five basic reporting operations.

Question 55

An ________ and an OLAP report are the same thing.

A) OLAP measure
B) OLAP cube
C) OLAP dimension
D) OLAP array
E) OLAP permutation

Question 56

What is OLAP? Explain its features.

Question 57

Samuel, a researcher, deduces that single women between the ages of 25 and 30, who usually live in the suburbs and make thrifty purchases, prefer a particular brand of washing machines. In this case, Samuel uses ________ to understand customer behavior.

A) supervised data mining
B) cluster analysis
C) neural networks
D) market-basket analysis
E) metadata matching

Question 58

Which of the following observations about RFM and OLAP reports is True?

A) RFM reports are more generic than OLAP reports.
B) OLAP reports are more dynamic than RFM reports.
C) RFM reports have measures and dimensions.
D) RFM reports can drill down into the data to a greater extent than OLAP reports.
E) RFM reports are more easily manipulated than OLAP reports.

Question 59

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

Question 60

A(n) ________ is a complicated set of possibly nonlinear equations.

A) data warehouse
B) neural network
C) expert system
D) online analytical processing (OLAP) cube
E) artificial intelligence

Question 61

What is the objective of performing a market-basket analysis?

Question 62

Which of the following is a characteristic of decision trees?

A) They are a supervised data mining technique.
B) They are used to select variables that are then used by other types of data mining tools.
C) Special training is required to understand and implement them.
D) Partial data or multiple variables cannot be used while using decision trees.
E) They produce correlation values for possible future purchases.

Question 63

________ is a technique for harnessing the power of thousands of computers working in parallel.

A) RFM analysis
B) MapReduce
C) Granularity
D) Reposition
E) Big data looping

Question 64

Neural networks are popular unsupervised data mining techniques used to predict values and make classifications.

Question 65

Hadoop is an open-source program supported by the Apache Foundation that implements MapReduce on potentially thousands of computers.

Question 66

Differentiate between unsupervised and supervised data mining.

Question 67

________ is the process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers, and others who need it.

A) Intellectual property protection
B) Knowledge management
C) Business process reengineering
D) Repository management
E) Industrial information exchange

Question 68

A ________ is a hierarchical arrangement of criteria that predict a classification or a value.

A) value chain
B) cluster analysis
C) decision tree
D) neural network
E) sync path

Question 69

What are MapReduce and Hadoop?

Question 70

In an unsupervised data mining technique, analysts do not create a model or hypothesis before running the analysis.

Question 71

Data mining is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

Question 72

In market-basket terminology, confidence is the probability that two items will be purchased together.

Question 73

Which of the following is a characteristic of BigData?

A) It is usually around 100 gigabytes in size.
B) It is generated rapidly.
C) It is processed using traditional techniques.
D) It is unstructured.
E) It is typically only text-based.

Question 74

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

Question 75

Judy is analyzing weekly sales transactions at a supermarket. She finds that the support value for bed sheets and pillow covers is 0.9. Given this information, which of the following statements is True?

A) The sale of bedsheets and pillow covers is lower than other items.
B) Customers who buy bedsheets usually also buy pillow covers.
C) The supermarket carries a large stock of bedsheets and pillow covers.
D) Customers who buy bedsheets rarely also buy pillow covers.
E) The sales of bed sheets far exceeds the sales of pillow covers.

Question 76

________ includes a query language titled Pig.

A) MapReduce
B) Hadoop
C) RFM Analysis
D) Online analytical processing (OLAP)
E) Korn shell

Question 77

A decision tree analysis is a supervised data mining technique.

Question 78

In market-basket terminology, ________ describes the probability that two items will be purchased together.

A) support
B) confidence
C) lift
D) dimension
E) connection

Question 79

In market-basket terminology, the ratio of confidence to the base probability of buying an item is called ________.

A) confidence
B) support
C) granularity
D) lift
E) loop

Question 80

Cluster analysis is used to identify groups of entities that have similar characteristics.