EDITION BY VERNON RICHARDSON, CHAPTER 1-9.
,Chapter 1: Data Analytics for Accounting and Identifying the Questions
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Chapter 2: Mastering the Data
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Chapter 3: Performing the Test Plan and Analyzing the Results Chapter 4: Communicat
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ing Results and Visualizations
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Chapter 5: The Modern Accounting Environment Chapter 6: Audit
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Data Analytics
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Chapter 7: Managerial Analytics
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Chapter 8: Financial Statement Analytics Chapter 9: Tax Analytics
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,Answers are at the End of Each Chapter
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Chapter 01: A
Student name: A A
1) Data analytics is the process of evaluating data with the purpose of drawing co
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nclusions toaddress business questions.
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2) The
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process of data analytics aims to transform raw information into data to creat
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3) Data analytics has the potential to transform the manner in which compani
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es 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 c
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ompany andcompare this to inventory obsolescence and other estimates.
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5) Data analytics allows auditors to glean insights that are beneficial to th
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e client, withoutbreeching independence.
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, 6) The predictive analytics is an important aspect of data analytics for audit
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ors, 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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