Chapter 9: Business Intelligence Systems

The facts about data, such as its source, format, assumptions, constraints, and the like are called ________. A) metadata B) data structures C) microdata D) data packets

A

A ________ is a data collection that addresses the needs of a particular department or functional area of the business. A) data mart B) data center C) data mine D) data warehouse

A

For business intelligence results to have value, they must ________. A) publish the information to the right user at the right time B) discover patterns and relationships in data to predict future outcomes C) foster innovation and improve customer service D) encode, save, and process expert knowledge

A

In ________, statistical techniques identify groups of entities that have similar characteristics. A) cluster analysis B) content indexing C) regression analysis D) cloud computing

A

Which of the following is true of BigData? A) BigData refers to data sets that are at least a petabyte in size. B) BigData has low velocity, meaning that it is generated slowly. C) BigData can be processed using traditional techniques. D) BigData analysis does not involve reporting and data mining techniques.

A

Which of the following is true of business intelligence systems? A) The business intelligence application processes the data to produce business intelligence for use by knowledge workers. B) Business intelligence is not applicable during project management. C) The software component of a business intelligence system is called a business intelligence database. D) The organization's own operational databases cannot be the source data for a business intelligence system.

A

Which of the following is true of data warehouses? A) The data warehouse takes data from the data producers for distribution. B) It is economical to create, staff, and operate data warehouses. C) Users in the data warehouse obtain data that pertain to a particular business function from the data mart. D) People working with a data warehouse are experts in a given business function.

A

Which of the following is true of data with granularity? A) Granularity refers to the level of detail represented by the data. B) If the granularity is too coarse, the data can be made finer by summing and combining. C) The granularity in clickstream data is too coarse. D) If the granularity is too coarse, the data can be separated into constituent parts.

A

Which of the following is true of unsupervised data mining? A) Analysts apply data mining techniques to the data and observe the results. B) Analysts apply statistical techniques to data to estimate parameters of a model. C) Analysts use tools such as regression analysis. D) Data miners develop a model prior to the analysis.

A

________ publishing delivers business intelligence to users without any request from the users. A) Push B) Pull C) Direct D) Indirect

A

________ reports are reports produced when something out of predefined bounds occurs. A) Exception B) Static C) Dynamic D) Informal

A

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. Which of the following best explains this phenomenon? A) the free rider problem B) the curse of dimensionality C) the tragedy of the commons D) the zero-sum game

B

Which of the following activities in the business intelligence process involves creating business intelligence? A) data acquisition B) business intelligence analysis C) results publishing D) problem solving

B

Which of the following is true of business intelligence publishing alternatives? A) Pull options vary between different server types, such as Web servers and business intelligence servers. B) Publishing dynamic business intelligence requires the publisher to set up database access when documents are consumed. C) For static content, the skill required to create a publishing application is high. D) For Web servers, the push options are manual.

B

With ________ data mining, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model. A) sequential B) supervised C) nonsequential D) unsupervised

B

________ data is data in the form of rows and columns. A) Granulated B) Structured C) Integrated D) Problematic

B

________ publishing requires the user to request business intelligence results. A) Push B) Pull C) Direct D) Indirect

B

________ refers to the level of detail represented by the data. A) Abstraction B) Granularity C) Dimensionality D) Aggregation

B

A ________ is a facility for managing an organization's business intelligence data. A) database B) data system C) data warehouse D) data structure

C

Regression analysis is used in ________. A) expert systems B) knowledge management systems C) data-mining systems D) reporting systems

C

The goal of ________ is to create information about past performance. A) data integration B) data mining analysis C) reporting D) BigData

C

The results generated by BigData processors are combined in what is referred to as the ________ phase. A) Process B) Control C) Reduce D) Construct

C

Which of the following activities in the business intelligence process involves delivering business intelligence to the knowledge workers who need it? A) data acquisition B) business intelligence analysis C) results publishing D) problem solving

C

Which of the following problems is particularly common for data that have been gathered over time? A) wrong granularity B) nonintegration C) inconsistency D) missing values

C

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction. A) Data encryption B) Data warehousing C) Data mining D) Data integration

C

________ reports are business intelligence documents that are fixed at the time of creation and do not change. A) Informal B) Extension C) Static D) Stable

C

________ systems are information systems that process operational and other data to analyze past performance, and to make predictions. A) Enterprise planning B) Data mining C) Business intelligence D) Internal communication

C

________ techniques emerged from the combined discipline of statistics, mathematics, artificial intelligence and machine-learning. A) Data encryption B) Data warehousing C) Data mining D) Data integration

C

Data ________ is the process of obtaining, cleaning, organizing, relating, and cataloging source data. A) interpretation B) application C) retention D) acquisition

D

In ________, the impact of a set of variables on another variable is measured. A) cluster analysis B) context indexing C) cloud computing D) regression analysis

D

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

D

The ________ function of business intelligence servers maintains metadata about the authorized allocation of business intelligence results to users. A) controlling B) processing C) delivery D) management

D

The purpose of a ________ is to extract and clean data from operational systems and other sources, and to store and catalog that data for processing by business intelligence tools. A) data harvester B) data center C) data aggregator D) data warehouse

D

The users in the data mart obtain data that pertain to a particular business function from the ________. A) data harvester B) data center C) data aggregator D) data warehouse

D

When the BigData collection is broken into pieces, and hundreds or thousands of independent processors search these pieces for something of interest, the process is referred to as the ________ phase. A) Crash B) Control C) Reduce D) Map

D

________ is the process of sorting, grouping, summing, filtering, and formatting structured data. A) Knowledge management B) Data mining analysis C) Cloud computing D) Reporting analysis

D

________ reports are business intelligence documents that are updated at the time they are requested. A) Informal B) Extension C) Static D) Dynamic

D