In accounting, how does Big Data Analytics contribute to transforming financial reporting and analysis, particularly through techniques such as data mining, predictive modeling, and machine learning? a) By solely relying on traditional spreadsheet - based reporting methods. b) By enabling deeper insights and decision support through advanced data analysis techniques. c) By decreasing reliance on data - driver decision-making processes. d) By neglecting the importance of data quality and accuracy in financial reporting.
In accounting, how does Big Data Analytics contribute to transforming financial reporting and analysis, particularly through techniques such as data mining, predictive modeling, and machine learning? a) By solely relying on traditional spreadsheet - based reporting methods. b) By enabling deeper insights and decision support through advanced data analysis techniques. c) By decreasing reliance on data - driver decision-making processes. d) By neglecting the importance of data quality and accuracy in financial reporting.
Chapter1: Financial Statements And Business Decisions
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
Transcribed Image Text:In accounting, how does Big Data Analytics contribute to transforming financial
reporting and analysis, particularly through techniques such as data mining, predictive
modeling, and machine learning? a) By solely relying on traditional spreadsheet -
based reporting methods. b) By enabling deeper insights and decision support
through advanced data analysis techniques. c) By decreasing reliance on data-driven
decision-making processes. d) By neglecting the importance of data quality and
accuracy in financial reporting.
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