22) The use of an organization's operational data as the source data for a business intelligence system is not usually recommended because it ________. A) is not possible to create reports based on...





22) The use of an organization's operational data as the source data for a business intelligence system is not usually recommended because it ________.



A) is not possible to create reports based on operational data



B) is not possible to perform business intelligence analyses on operational data



C) requires considerable processing and can drastically reduce system performance



D) considers only the external data and not the internal data regarding the organization's functions



23) A ________ is a facility for managing an organization's business intelligence data.



A) datasheet



B) dataspace



C) data warehouse



D) data table



24) The source, format, assumptions and constraints, and other facts concerning certain data are called ________.



A) metadata



B) data structures



C) microdata



D) network packets



25) Problematic data are termed ________.



A) random data



B) macro data



C) vague data



D) dirty data



26) Which of the following problems is particularly common for data that have been gathered over time?



A) wrong granularity



B) lack of integration



C) lack of consistency



D) missing values



27) ________ refers to the level of detail represented by data.



A) Abstraction



B) Granularity



C) Dimensionality



D) Aggregation



28) Which of the following statements is true of data with granularity?



A) It can be too fine or too coarse and also have wrong granularity.



B) If granularity is too coarse, data can be made finer by summing and combining.



C) It is not possible to have a wrong granularity for a data.



D) If granularity is too coarse, data can be separated into constituent parts using regression.



29) The more attributes there are in a sample data, 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



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



A) data mart



B) data room



C) datasheet



D) dataspace



31) A ________ is designed to extract data from operational systems and other sources, clean the data, and store and catalog that data for processing by business intelligence tools.



A) data mart



B) data center



C) data room



D) data warehouse





May 15, 2022
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