CIS 3380 CH7 T/F
T/F A data broker is an individual item on a graph or a chart.
FALSE
T/F A repository is a central location in which data is stored and managed
TRUE
T/F Competitive monitoring can compare two or more data sets to identify patterns and trends.
FALSE
T/F A data lake is a business that collects personal information about consumers and sells that information to other organizations.
FALSE
T/F A data mart is the process of analyzing data to extract information not offered by the raw data alone.
FALSE
T/F A data miner contains a subset of data warehouse information.
FALSE
T/F A data set is an individual item on a graph or chart.
FALSE
T/F A data warehouse is a central location in which data is stored and managed.
FALSE
T/F According to Gartner Inc., dirty data is an MIS problem, not a business problem.
FALSE
T/F Business intelligence is an approach to business governance that values decisions that can be backed up with verifiable data.
FALSE
T/F Comparative analysis can help managers with competitive monitoring where a company keeps tabs of its competitor's activities on the web using software that automatically tracks all competitor website activities such as discounts and new products.
FALSE
T/F Data warehouses struggle with combining too much standardized information.
FALSE
T/F ETL, within a data warehouse model, stands for exit, track, and load.
FALSE
T/F Organizational data includes simple structured data elements in a database.
FALSE
T/F The complete removal of dirty data from a source is practical and possible.
FALSE
T/F The financial industry uses business intelligence to predict hardware failures.
FALSE
T/F The primary purpose of a data warehouse is to perform transactional processes.
FALSE
T/F A comparative analysis can compare two or more data sets to identify patterns and trends.
TRUE
T/F A data lake is a storage repository that holds a vast amount of raw data in its original format until the business needs it.
TRUE
T/F A data map is a technique for establishing a match, or balance, between the source data and the target data warehouse.
TRUE
T/F A data mart contains a subset of data warehouse information.
TRUE
T/F A data point is an individual item on a graph or chart.
TRUE
T/F A data set is an organized collection of data.
TRUE
T/F A data warehouse is a logical collection of information, gathered from many different operational databases, that supports business analysis activities and decision-making tasks.
TRUE
T/F Data aggregation is the collection of data from various sources for the purpose of data processing.
TRUE
T/F Dirty data is erroneous or flawed data.
TRUE
T/F Dirty data is erroneous or flawed data. The complete removal of dirty data from a source is impractical or virtually impossible.
TRUE
T/F Duplicate data, inaccurate data, misleading data, and incorrect data are all problems associated with dirty data.
TRUE
T/F ETL stands for extraction, transformation, and loading.
TRUE
T/F Effective data-driven decision management is reliant upon the quality of the data gathered and the effectiveness of its analysis and interpretation.
TRUE
T/F In a data warehouse, information cleansing occurs first during the ETL process and again once the information is in the data warehouse.
TRUE
T/F Information cleansing or scrubbing is a process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information..
TRUE
T/F Many firms complete data quality audits to determine the accuracy and completeness of its data.
TRUE
T/F Many organizations find themselves in the position of being data rich and information poor. Even in today's electronic world, managers struggle with the challenge of turning their business data into business intelligence.
TRUE
T/F One example of a data aggregation is to gather information about particular groups based on specific variables such as age, profession, or income.
TRUE
T/F Source data identifies the primary location where data is collected. It can include invoices, spreadsheets, timesheets, transactions, and electronic sources such as other databases.
TRUE
T/F The banking industry uses business intelligence to understand customer credit card usage and nonpayment rates.
TRUE
T/F The primary purpose of a data warehouse is to perform analytical process.
TRUE
T/F While a traditional data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.
TRUE
T/F Within the data warehouse model, the external databases could include competitor information, industry information, and stock market analysis.
TRUE
T/F Within the data warehouse model, the internal databases could include marketing, sales, inventory, and billing.
TRUE
