![]() ![]() In contrast, a data warehouse is typicallyĪ) the end result of BI processes and operations.ī) a repository of actionable intelligence obtained from a data mart.Ĭ) a distinct system that provides storage for data that will be made use of in analysis.ĭ) an integral subsystem of an online analytical processing (OLAP) system. C The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system?ĭ) data warehouses C Which of the following is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies?ĭ) BI D The competitive imperatives for BI include all of the following EXCEPTĭ) right place B Which of the following is NOT an example of transaction processing?ĭ) cash register scans C Online transaction processing (OLTP) systems handle a company's routine ongoing business. Which of the following is NOT one of those activities?ĭ) mobile access C Which of the following developments is NOT contributing to facilitating growth of decision support and analytics?ĭ) locally concentrated workforces D In what decade did disjointed information systems begin to be integrated?ĭ) 2000s B Relational databases began to be used in theĭ) 1990s. FALSE In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket sales?ĭ) ticket prices D In the Opening Vignette on Sports Analytics, what type of modeling was used to predict offensive tactics?ĭ) sentiment analysis B Business applications have moved from transaction processing and monitoring to other activities. ![]() FALSE Data generation is a precursor, and is not included in the analytics ecosystem. TRUE Due to industry consolidation, the analytics ecosystem consists of only a handful of players across several functional areas. FALSE The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case study, is an example of the effectiveness of prescriptive analytics. FALSE The use of dashboards and data visualizations is seldom effective in identifying issues in organizations, as demonstrated by the Silvaris Corporation Case Study. TRUE Demands for instant, on-demand access to dispersed information decrease as firms successfully integrate BI into their operations. FALSE Traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data warehouse to produce reports and analyses. FALSE BI represents a bold new paradigm in which the company's business strategy must be aligned to its business intelligence analysis initiatives. ![]() TRUE Successful BI is a tool for the information systems department, but is not exposed to the larger organization. FALSE Many business users in the 1980s referred to their mainframes as "the black hole," because all the information went into it, but little ever came back and ad hoc real-time querying was virtually impossible. Information systems that support such transactions as ATM withdrawals, bank deposits, and cash register scans at the grocery store represent transaction processing, a critical branch of BI. ![]()
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