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Data Analytics for Accounting, 3rd Edition

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This solution manual supports a textbook covering how data analytics applies to the accounting field. Key areas include the IMPACT cycle, mastering data through the ETLA process, communicating results and visualizations, and specific applications in Audit Data Analytics, Managerial Analytics, Financial Statement Analytics, and Tax Analytics. It also covers Big Data (Volume, Velocity, Veracity, Variety) and various data approaches like Classification, Similarity Matching, and Link Prediction

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SOLUTION MANUAL
Data Analytics for Accounting, 3rd Edition
by Vernon Richardson, Chapters 1 - 9




1

,Chapter 1: Data Analytics for Accounting and Identifying the Questions Chapter 2: Mastering the Data
Chapter 3: Performing the Test Plan and Analyzing the Results Chapter 4: Communicating Results and
Visualizations
Chapter 5: The Modern Accounting Environment Chapter 6: Audit Data
Analytics

Chapter 7: Managerial Analytics

Chapter 8: Financial Statement Analytics Chapter 9: Tax Analytics




2

,Solutions Manual – Chapter 1
Solutions to Multiple Choice Questions

1. (LO 1-1) Big Data is often described by the four Vs, or

a. volume, velocity, veracity, and variability.
b. volume, velocity, veracity, and variety.
c. volume, volatility, veracity, and variability.
d. variability, velocity, veracity, and variety.

Answer: b

2. LO 1-4) Which data approach attempts to assign each unit in a population into a small set
ofclasses (or groups) where the unit best fits?

a. Regression
b. Similarity matching
c. Co-occurrence grouping
d. Classification

Answer: d

3. (LO 1-4) Which data approach attempts to identify similar individuals based on data
knownabout them?

a. Classification
b. Regression
c. Similarity matching
d. Data reduction

Answer: c

4. (LO 1-4) Which data approach attempts to predict connections between two data items?

a. Profiling
b. Classification
c. Link prediction
d. Regression




3

, Answer: c


5. (LO 1-6) Which of these terms is defined as being a central repository of descriptions for all of
the data attributes of the dataset?

a. Big Data
b. Data warehouse
c. Data dictionary
d. Data Analytics

Answer: c

6. (LO 1-5) Which skills were not emphasized that analytic-minded accountants should have?

a. Developed an analytics mindset
b. Data scrubbing and data preparation
c. Classification of test approaches
d. Statistical data analysis competency

Answer: c

7. (LO 1-5) In which areas were skills not emphasized for analytic-minded accountants?

a. Data quality
b. Descriptive data analysis
c. Data visualization and data reporting
d. Data and systems analysis and design

Answer: d

8. (LO 1-4) The IMPACT cycle includes all except the following steps:

a. perform test plan.
b. visualize the data.
c. master the data.
d. track outcomes.

Answer: b

9. (LO 1-4) The IMPACT cycle specifically includes all except the following steps:

a. data preparation.
b. communicate insights.
c. address and refine results.
d. perform test plan.



4

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