Exam 2 Chapter 9 MCQ_Business Intelligence Systems

data warehouse

A ________ takes data from the data manufacturers, cleans and processes the data, and locates the data on the shelves. A) data mart B) data mine C) data warehouse D) data model

dynamic report

A sales report that is current at the time the user accessed it on a Web server, is an example of a(n) ________. A) static report B) dynamic report C) expert system D) hybrid market report

113

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

curse of dimensionality

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

The sales team should let go of this customer; the loss will be minimal.

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.

expert systems

In the context of KM systems, ________ attempted to directly capture employee expertise. A) expert networks B) expert systems C) expert analyses D) expert decisions

decision tree

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

mart

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

511

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's RFM score is most likely ________. A) 155 B) 511 C) 555 D) 151

sales region

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

OLAP cube

An ________ and an OLAP report are the same thing. A) OLAP measure B) OLAP cube C) OLAP dimension D) OLAP array

metadata

BI servers use ________ to determine what results to send to which users and on which schedule. A) expert systems B) metadata C) RSS feeds D) neural networks

data warehouse

Because of the various problems with operational data, large organizations choose to extract operational data and typically create and staff a group of people who manage and run a(n) ________. A) OLAP cube B) neural network C) data warehouse D) Web server

support

In market-basket terminology, ________ describes the probability that two items will be purchased together. A) support B) confidence C) lift D) dimension

lift

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

cross selling

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) portfolio

enables employees and partners to work smarter

Knowledge management (KM) benefits organizations because it ________. A) allows distributors to work within the company premises B) allows suppliers to work according to the organizational policies C) enables customers to provide bulk feedback D) enables employees and partners to work smarter

online analytical processing

OLAP stands for ________. A) online analytical processing B) object-based lead analysis procedure C) object-oriented analytical protocol D) organizational lead analysis process

dirty data

Problematic operational data are termed ________. A) metadata B) rough data C) dirty data D) granular data

according to a schedule or as a result of an event or particular data condition

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

purchasing patterns

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

Microsoft SQL Server Report manager

The ________ is the most popular BI server today. A) Oracle BI Server B) Microsoft Windows Vista C) Microsoft SQL Server Report manager D) Pentaho BI Server

dynamic

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

online

The viewer of an OLAP report can change its format. Which term implies this capability? A) processing B) analytical C) dimension D) online

SAMCROW has ordered recently and orders frequently, and it orders the most expensive goods.

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 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.

it is a characteristic of a measure

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.

calculating

Which of the following is a basic operation used by reporting applications to produce business intelligence? A) coalescing B) transposing C) dispersing D) calculating

data mining

Which of the following is a fundamental category of BI analysis? A) automation B) catalog C) report servers D) data mining

average cost

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

regression analysis

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

It refers to data that the organization purchases from data vendors.

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.

Analysts do not create a model or hypothesis before running the analysis.

Which of the following is true of 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) Unsupervised data mining requires analysts to fit data to suggested hypotheses.

OLAP reports are more dynamic than RFM reports.

Which of the following observations about RFM and OLAP reports is true? A) RFM is more generic than OLAP. 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.

These systems encode human knowledge in the form of "If/Then" rules.

Which of the following observations concerning expert systems is true? A) The "If/Then" rules used in these systems are created by mining data. B) These systems have lived up to the high expectations set by their name. C) These systems typically have fewer than a dozen rules. D) These systems encode human knowledge in the form of "If/Then" rules.

market basket analysis

Which of the following shows the products that customers tend to buy together? A) regression analysis B) market-basket analysis C) neural networks D) cluster analysis

BI servers extend alert/RSS functionality to support user subscriptions.

Which of the following statements is true about BI publishing alternatives? A) Most dynamic reports are published as PDF documents. B) For Web servers and SharePoint, the push option is manual only C) BI servers extend alert/RSS functionality to support user subscriptions. D) Publishing static BI content requires more skill, compared to publishing dynamic BI content.

Data marts address the needs of a particular department or functional area of a business.

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.

Purchased operational data often contains missing elements

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.

Two important reporting applications are RFM analysis and OLAP.

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.

knowledge discovery in databases

Which of the following terms is used as a synonym for data mining? A) regression analysis B) data warehousing C) knowledge discovery in databases D) parallel processing in databases

supervised data mining

With ________, 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

cluster analysis

With ________, statistical techniques can identify groups of entities that have similar characteristics. A) regression analysis B) cluster analysis C) expert systems D) neural networks

Content Management Systems (CMS)

______ are information systems that support the management and delivery of documents including reports, Web pages, and other expressions of employee knowledge. A) Decision Support Systems (DSS) B) Online Analytical Processing (OLAP) applications C) Content Management Systems (CMS) D) Data Transfer Protocols (DTP)

RFM

_______ analysis is a way of analyzing and ranking customers according to their purchasing patterns. A) TQM B) CRM C) Market-basket D) RFM

pull publishing

_______ requires the user to request BI results. A) Push publishing B) Pull publishing C) Desktop publishing D) Accessible publishing

MapReduce

________ is a technique for harnessing the power of thousands of computers working in parallel. A) IPP B) MapReduce C) Granularity D) Reposition

granularity

________ is a term that refers to the level of detail represented by the data. A) Granularity B) Intricacy C) Elaboration D) Complexity

business intelligence

________ 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

Hyper-social knowledge management

________ is the application of social media and related applications for the management and delivery of organizational knowledge resources. A) BI server management B) Hyper-social knowledge management C) Knowledge management protocol D) Online analytical processing

data mining

________ 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

Knowledge management

________ 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

data acquisition

________ is the process of obtaining, cleaning, organizing, relating, and cataloging source data. A) Data entry B) Data acquisition C) Data mining D) Data encryption

metadata

________ records the source, format, assumptions and constraints, and other facts about the data. A) Clickstream data B) Dimensional data C) Outsourced data D) Metadata