Mis final Flashcards
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________ is defined as information containing patterns, relationships, and trends of various forms of data. Business process management Business intelligence Spatial intelligence Process mining
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Business intelligence
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Which of the following is true of source data for a BI system? It refers to the organization's metadata./It refers to the level of detail represented by the data./It refers to the hierarchical arrangement of criteria that predict a classification or a value./It refers to data that the organization purchases from data vendors.
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It refers to data that the organization purchases from data vendors
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Data _______ is the process of obtaining, cleaning, organizing, relating, and cataloging source data Mining/encryption/acquisition/entry
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acquisition
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Which of the following is a fundamental category of BI analysis? Report servers/Catalog/data mining/automation
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data mining
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Push publishing delivers business intelligence ________ according to a schedule or as a result of an event or particular data condition/by obtaining, cleaning, organizing, relating, and cataloging source data/through reporting, data mining, and knowledge management/in response to requests from users
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according to a schedule or as a result of an event or particular data condition
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_____ requires the user to request BI results Pull publishing/Desktop publishing/Push publishing/Accessible publishing
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pull publishing
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Because of the various problems with operational data, large organizations choose to extract operational data and store them into a(n) _______ Web server/OLAP cube/data warehouse/neural network
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data warehouse
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________ records the source, format, assumptions and constraints, and other facts about the data. Metadata/Dimensional data/Clickstream data/Outsourced data
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metadata
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Problematic operational data are termed ________. dirty data/bad data/granular data/rough data
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dirty data
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________ is a term that refers to the level of detail represented by the data. Granularity/Elaboration/Intricacy/Complexity
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granularity
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Which of the following statements is true about operational data? It is always better to have data with too coarse a granularity than with too fine a granularity./Purchased operational data often contains missing elements./If the data granularity is too coarse, the data can be made finer by summing and combining./Problematic operational data are termed rough data.
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Purchased operational data often contains missing elements.
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A ________ takes data from the data manufacturers, cleans and processes the data, and then stores it. data warehouse/data model/data mine/data mart
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data warehouse
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A data ________ is a data collection, smaller than the data warehouse, that addresses a particular department or functional area of the business. model/cube/mart/mine
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mart
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Which of the following statements is true about data marts? Data marts address only a particular component or functional area of a business./Data mart users possess the data management expertise that data warehouse employees have./Data marts are larger than data warehouses./A data mart is like a distributor in a supply chain, while a data warehouse can be compared to a retail store.
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Data marts address only a particular component or functional area of a business.
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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. uncertainty principle/economies of scale/curse of dimensionality/attribute paradox
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Curse of dimensionality
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Which of the following statements is true about reporting applications? Reporting applications consist of five standard components: hardware, software, data, procedures, and people./Reporting applications produce business intelligence using highly sophisticated operations./Two important reporting applications are RFM analysis and OLAP./Reporting applications deliver business intelligence to users as a result of an event or particular data condition.
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Two important reporting applications are RFM analysis and OLAP.
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Which of the following is a basic operation used by reporting tools to produce information from data? transposing dispersing calculating coalescing
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calculating
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________ analysis is a way of analyzing and ranking customers according to their purchasing patterns. CRM Market-basket TQM RFM
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RFM
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RFM analysis is used to analyze and rank customers according to their ________. socio-economic status/motivation and needs/propensity to respond to a marketing stimulus/purchasing patterns
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purchasing patterns
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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? SAMCROW has ordered recently and orders frequently, but it orders the least expensive goods. SAMCROW has ordered recently and orders frequently, and it orders the most expensive goods. SAMCROW has not ordered for some time, it did not order frequently, and, when it did order, it bought the least-expensive items. 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.
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SAMCROW has ordered recently and orders frequently, and it orders the most expensive goods
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A sales team should attempt to up-sell more expensive products to a customer who has an RFM score of ________. 311 113 555 545
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113
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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 ________. 511 151 555 155
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511
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How should a sales team respond to a customer who has an RFM score of 545? The sales team should attempt to up-sell more expensive goods to this customer. The sales team should let go of this customer; the loss will be minimal. The sales team should contact this customer immediately. The sales team should spend more time with this customer.
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The sales team should let go of this customer; the loss will be minimal.
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OLAP stands for ________. online analytical processing organizational lead analysis process object-oriented analytical protocol object-based lead analysis procedure
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online analytical processing
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The viewer of an OLAP report can change its format. Which term implies this capability? processing dimension analytical online
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online
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The remarkable characteristic of OLAP reports is that they are ________, as they are online and the viewer of the report can change their format. informal dynamic extensible specific
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dynamic
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An OLAP report has measures and dimensions. Which of the following is an example of a dimension? total sales sales region average cost average sales
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sales region
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Which of the following accurately defines a dimension in an OLAP report? It is a characteristic of a measure. It is the data item of interest. It is referred to as a decision tree. It is the item that is processed in the OLAP report.
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It is a characteristic of a measure.
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Which of the following is an example of a measure in an OLAP report? purchase date sales region customer type average cost
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average cost
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An ________ and an OLAP report are the same thing. OLAP measure OLAP array OLAP cube OLAP dimension
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OLAP cube
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Which of the following observations about RFM and OLAP reports is true? RFM reports can drill down into the data. RFM reports have measures and dimensions. OLAP reports are more dynamic than RFM reports. RFM is more generic than OLAP.
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OLAP reports are more dynamic than RFM reports.
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________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction. Data warehousing Data mining Data optimization Database normalization
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Data mining
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Which of the following terms is used as a synonym for data mining? data warehousing parallel processing regression analysis knowledge discovery in databases
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Knowledge discovery in databases
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Which of the following is true of unsupervised data mining? Neural networks are a popular unsupervised data mining application./Analysts do not create a model or hypothesis before running the analysis./Unsupervised data mining requires tools such as regression analysis./Unsupervised data mining requires analysts to fit data to suggested hypotheses.
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Analysts do not create a model or hypothesis before running the analysis.
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With ________, statistical techniques can identify groups of entities that have similar characteristics. regression analysis neural networks cluster analysis expert systems
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cluster analysis
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With ________, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model. click streaming cluster analysis unsupervised data mining supervised data mining
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supervised data mining
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Which of the following is an example of a supervised data-mining technique? market-basket analysis click streaming regression analysis cluster analysis
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regression analysis
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Which of the following shows the products that customers tend to buy together? market-basket analysis cluster analysis regression analysis neural networks
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market-basket analysis
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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." portfolio value added selling break-even cross-selling
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cross-selling
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In market-basket terminology, ________ describes the probability that two items will be purchased together. lift confidence dimension support
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support
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In market-basket terminology, the ratio of confidence to the base probability of buying an item is called ________. granularity lift confidence support
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lift
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________ is a hierarchical arrangement of criteria that predict a classification or a value. A value chain A cluster analysis A neural network A decision tree
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a decision tree
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________ is a technique for harnessing the power of thousands of computers working in parallel. Business Process Reposition MapReduce IPP
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MapReduce
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________ is the process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers, and others who need it. Repository management Knowledge management Business process reengineering Intellectual property protection
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Knowledge management
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KM benefits organizations because it ________. enables customers to provide bulk feedback/enables employees and partners to work smarter/allows distributors to work within the company premises/enables suppliers to work according to the organizational policies
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enables employees and partners to work smarter
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Which of the following is true about knowledge management (KM)? KM restricts the free flow of ideas./KM increases operational cost./KM boosts revenues by getting products and services to market faster./KM improves customer service by broadening the response time.
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KM boosts revenues by getting products and services to market faster.
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________ attempt to directly capture employee expertise. Expert systems Expert analysis Expert decisions Expert networks
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Expert systems
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Which of the following observations concerning expert systems is true? These systems encode human knowledge in the form of "If...Then" rules. These systems have lived up to the high expectations set by their name. These systems typically have fewer than a dozen rules. The "If...then" rules used in these systems are created by mining data.
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These systems encode human knowledge in the form of "If...Then" rules.
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________ are information systems that support the management and delivery of documents including reports, Web pages, and other expressions of employee knowledge. Content Management Systems (CMS) Data Transfer Protocols (DTP) Online Analytical Processing (OLAP) applications Knowledge Discovery in Databases (KDD)
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Content Management Systems (CMS)
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________ is the application of social media and related applications for the management and delivery of organizational knowledge resources. BI server management Expert system Knowledge management protocol Hyper-social knowledge management
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Hyper-social knowledge management
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A sales report that is current, as of the time the user accessed it on a Web server, is an example of a(n) ________. hybrid market report static report dynamic report expert system
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dynamic report
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Which of the following statements is true about BI publishing alternatives? Publishing static BI content requires more skill, compared to publishing dynamic BI content./For Web servers and SharePoint, the push option is mandatory./BI servers extend alert/RSS functionality to support user subscriptions./Most dynamic reports are published as PDF documents.
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BI servers extend alert/RSS functionality to support user subscriptions
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The ________ is the most popular BI server today. Microsoft SQL Server Report manager Oracle BI Server Microsoft Windows Vista Pentaho BI Server
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Microsoft SQL Server Report manager
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BI servers use ________ to determine what results to send to which users and on which schedule. RSS feeds expert systems neural networks metadata
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metadata
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________ is the use of information technology to support the sharing of content among networks of users
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social media
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A(n) ________ is an information system that supports the sharing of content among networks of users.
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SMIS
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SM communities differ from communities in the past because SM communities are ________.
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Formed based on mutual interests
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A ________ is an inducement for passing the message along through the tiers.
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Viral hook
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Social media ________ are companies and other organizations that choose to support a presence on one or more SM sites.
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Sponsors
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________ are the companies that operate the SM sites.
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SM Application providers
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Which of the following is an SM application provider?
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LinkedIn
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Most SM applications earn revenue ________.
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through a type of advertising model
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________ is the dynamic social media process of employing users to participate in product design or product redesign.
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Crowdsurfing
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________ is the application of social media to facilitate the cooperative work of people inside organizations.
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entreprise 2.0
