Match the terms with their respective definitions in the left column below. Term Definition A standard...
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Match the terms with their respective definitions in the left column below. Term Definition A standard format for data files and fields typically needed to support an external audit Audit Data Standards а. Datasets that are too large and complex for businesses' existing systems to handle using their b. traditional capabilities to capture, store, manage, and analyze these datasets Big Data The science of examining raw data, removing excess noise from the dataset, and organizing data with the purpose of drawing conclusions for decision making d. Data Analytics C. The unauthorized access to or acquisition of data in electronic form containing personal information Breach of Security The process of cleaning and scrubbing the data before data analysis can take place Extract, Transform and Load Personal Identifying Information е. f. Social Security number or driver's license number Required: Data analytics can be disaggregated into two parts: ETL (extract, transform, and load) or analysis. Classify each of the following processes as either ETL or analysis. Process ETLIAnalysis Removal of extraneous data and noise ETL Analysis Finding the necessary data from the financial reporting system to give to the external auditor for analysis Analysis ETL Analysis ETL a. b. Looking for trends in the data that might predict new sales opportunities с. d. Performance of a test of internal controls by the external auditor е. Considering Champaign, Illinois, weather patterns to predict corn production in the immediate area f. Consolidating large volumes of data from multiple sources and platforms Required: Identify which of the following, on their own, are personal identifying information (PII) and which are not personal identifying information (non-PII). Information PI/Non-PII Financial information Address of employment Personal telephone number PII Fingerprints Social Security number f. Non-PII Non-PlI а. b. C. d. PII PII Non-PlI PII е. Geographic indicators g. Vehicle ID number Match the terms with their respective definitions in the left column below. Term Definition A standard format for data files and fields typically needed to support an external audit Audit Data Standards а. Datasets that are too large and complex for businesses' existing systems to handle using their b. traditional capabilities to capture, store, manage, and analyze these datasets Big Data The science of examining raw data, removing excess noise from the dataset, and organizing data with the purpose of drawing conclusions for decision making d. Data Analytics C. The unauthorized access to or acquisition of data in electronic form containing personal information Breach of Security The process of cleaning and scrubbing the data before data analysis can take place Extract, Transform and Load Personal Identifying Information е. f. Social Security number or driver's license number Required: Data analytics can be disaggregated into two parts: ETL (extract, transform, and load) or analysis. Classify each of the following processes as either ETL or analysis. Process ETLIAnalysis Removal of extraneous data and noise ETL Analysis Finding the necessary data from the financial reporting system to give to the external auditor for analysis Analysis ETL Analysis ETL a. b. Looking for trends in the data that might predict new sales opportunities с. d. Performance of a test of internal controls by the external auditor е. Considering Champaign, Illinois, weather patterns to predict corn production in the immediate area f. Consolidating large volumes of data from multiple sources and platforms Required: Identify which of the following, on their own, are personal identifying information (PII) and which are not personal identifying information (non-PII). Information PI/Non-PII Financial information Address of employment Personal telephone number PII Fingerprints Social Security number f. Non-PII Non-PlI а. b. C. d. PII PII Non-PlI PII е. Geographic indicators g. Vehicle ID number
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Related Book For
Financial Analysis with Microsoft Excel
ISBN: 978-1285432274
7th edition
Authors: Timothy R. Mayes, Todd M. Shank
Posted Date:
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