ACCT*1240: Applied Financial Accounting
Winter 2020
Professor Connie Zavitz
Data Analytics Assignment
Question 1 [20 marks]
NOTE: A version of Excel which supports macros and has
the Analysis ToolPak installed is required.
Please download the
“ACCT1240 Data Analytics Assignment - Question 1
(Winter 2020).xlsm” spreadsheet from Courselink. When you open this
spreadsheet, please enable macros when prompted and follow the instructions on the
“Instructions” sheet carefully.
Use the “Sheet for
work” sheet for any rough work you perform. Do not erase your rough work. Please
write clean final answers in the “Answers” sheet.
This spreadsheet
contains information related to the sales and inventory of products in a fictional
company for 2017.
Part (a) [5 marks]
Using the Filter
tool in the data tab, identify any rows in the “DataAssign” sheet which have an
error (or errors). Copy each row with an error into the appropriate space in “Answers”
sheet, highlight the error (or errors) and write a short description of the
error (or errors) for each row.
Remove each row with
an error from the “DataAssign” sheet.
Parts (b), (c) and (d) which follow depend on the work
that you have done in part (a).
Part (b) [4 marks]
Create an
appropriate pivot table and determine the 5 best-selling products by sales
volume (i.e. largest quantity of items sold).
Part (c) [4 marks]
Create an
appropriate pivot table and determine the 5 best-selling products by total
sales amount (i.e. largest total dollar amount gained).
Part (d) [7 marks]
Create an
appropriate pivot table and determine the total sales by month. Use this pivot
table to create an appropriate graphical visualization with this data. Display
the graphic in the “Answer” sheet. Please ensure that your graphic has an
appropriate title, axes, colours, etc.
Write a short sentence describing any trend you observe in the sales and
provide a possible explanation for your observation.
[HINT: Examining the types of items being sold by this store might help with
your explanation.]
Question 2 [10 marks]
Please download the
“ACCT1240 Data Analytics Assignment - Question 2
(Winter 2020).xlsx” spreadsheet from Courselink for question 2.
Lube Co. supplies specialized lubricants to
over 300 manufacturing and trucking customers in 22 Canadian regions. Lube
sells 275 different products, some of which are more in demand the others. At
the last C-suite meeting, the Chief Operating Officer and the CFO discussed
stopping sales of high demand products to customers with balances outstanding
for more than 90 days. The CFO has asked you to prepare a pivot table that
shows the number of customers in 12 different categories:
|
High Credit Risk (A/R balance o/s over 90
days) |
Medium Credit Risk (A/R balance o/s over 60
days) |
Low Credit Risk (A/R balance o/s over 30
days) |
Normal Credit Risk (A/R balance paid within
30 days) |
High demand product |
|
|
|
|
Medium demand product |
|
|
|
|
Low demand product |
|
|
|
|
The CFO also wants to “filter” this analysis
by region. It is January 31, 2019. The CFO provides you with a file that shows
customer number, region, product number account balance and the last payment
date. The task is simplified in that each customer buys only one type of
lubricant. The CFO has also provided you with a list that shows the “demand”
for each of the 275 products.
Part (a) [4 marks]
Prepare a pivot table that meets the CFO’s
requirements: Pretend that you are preparing this pivot table on January 31,
2019 when computing the number of days that the accounts receivable balance is
outstanding. You can use functions in Excel to perform arithmetic operations
with dates. Create a pivot table that resembles the table above in order to
display the required information.
Part (b) [6 marks]
Create a pivot table which displays the accounts
receivable by region. Prepare one visualization using this pivot table that
will help the CFO better understand accounts receivable by region. Place this visualization
below the pivot table and write a sentence summarizing the main insight gained below
the visualization.
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