Chapter 01:
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1) Data analytics is the process of evaluating data with the purpose of drawing conclusions
toaddress business questions.
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2) The process of data analytics aims to transform raw information into data to create value.
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3) Data analytics has the potential to transform the manner in which companies run
theirbusinesses, however it is not practical in the near future.
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4) Auditors can use social media to hear what customers are saying about a company
andcompare this to inventory obsolescence and other estimates.
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5) Data analytics allows auditors to glean insights that are beneficial to the client,
withoutbreeching independence.
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⊚ false
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,6) The predictive analytics is an important aspect of data analytics for auditors, but is
notapplicable for tax accountants.
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7) The I in IMPACT Cycle represents Identify the Question.
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8) The M in IMPACT Cycle represents Master the Data.
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9) The P in IMPACT Cycle represents Predict the Results.
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10) The A in IMPACT Cycle represents Analyze the Data.
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11) The C in IMPACT Cycle represents Continuously Track.
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12) The T in IMPACT Cycle represents Track Outcomes.
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, 13) The IMPACT cycle is iterative, as insights are gained, outcomes are tracked, and
newquestions are identified.
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14) Data analysis through data manipulation is performing basic analysis to understand
thequality of the underlying data and its ability to address the business question.
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15) To be proficient in data analysis, accountants need to become data scientists.
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16) By developing an analytics mindset, accountants will be able to recognize when and
howdata analytics can address business questions.
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17) While it is important for accountants to clearly articulate the business problem,
drawingappropriate conclusions, based on the data, should be left to statisticians.
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⊚ false
18) Analytic-minded accountants should report results of analysis in an accessible way to
eachvaried decision maker and their specific needs.
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⊚ false
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