Data Analytics in Accounting and
Business
1. growth: With a goal to give organizations the information they need to make
sound and timely business decisions, data analytics often involves all of the following
except:
2. past archives; the future: Patterns discovered from enable business-
es to identify opportunities and risks and better plan for .
3. perform basic analysis to understand the quality of the underlying data
and its ability to address the business question: Which of the following best
describes the data analytics skill of descriptive data analysis:
4. recognize what is meant by data quality, be it completeness, reliability or
validity: Which of the following best describes the data analytics skill of data quality:
5. demonstrate ability to sort, rearrange, merge, and reconfigure data in a
manner that allows enhanced analysis: Which of the following best describes the
data analytics skill of data analysis through data manipulation:
6. comprehend the process needed to clean and prepare the data before
analysis: Which of the following best describes the data analytics skill of data
scrubbing and data preparation:
7. recognize when and how data analytics can address business questions-
: Which of the following best describes the data analytics skill of developing an
analytics mindset:
8. report results of analysis in an accessible way to each varied decision
maker and their specific needs: Which of the following best describes the data
analytics skill of data visualization and data reporting:
9. identify and implement an approach that will use statistical data analysis to
draw conclusions and make recommendations on a timely basis: Which of the
following best describes the data analytics skill of defining and addressing problems
1/4
Business
1. growth: With a goal to give organizations the information they need to make
sound and timely business decisions, data analytics often involves all of the following
except:
2. past archives; the future: Patterns discovered from enable business-
es to identify opportunities and risks and better plan for .
3. perform basic analysis to understand the quality of the underlying data
and its ability to address the business question: Which of the following best
describes the data analytics skill of descriptive data analysis:
4. recognize what is meant by data quality, be it completeness, reliability or
validity: Which of the following best describes the data analytics skill of data quality:
5. demonstrate ability to sort, rearrange, merge, and reconfigure data in a
manner that allows enhanced analysis: Which of the following best describes the
data analytics skill of data analysis through data manipulation:
6. comprehend the process needed to clean and prepare the data before
analysis: Which of the following best describes the data analytics skill of data
scrubbing and data preparation:
7. recognize when and how data analytics can address business questions-
: Which of the following best describes the data analytics skill of developing an
analytics mindset:
8. report results of analysis in an accessible way to each varied decision
maker and their specific needs: Which of the following best describes the data
analytics skill of data visualization and data reporting:
9. identify and implement an approach that will use statistical data analysis to
draw conclusions and make recommendations on a timely basis: Which of the
following best describes the data analytics skill of defining and addressing problems
1/4
