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ACCT6001 Accounting Information Systems


Subject Code and Name   ACCT6001 Accounting Information Systems
Assessment   Assessment 3 – Case Study – Excel
Individual/Group Individual
Learning Outcomes   Apply technical knowledge and skills in creating information for the workplace using spreadsheets and relational databases   Communicate with IT professionals, stakeholders and user groups of information systems
Submission   By 11:55pm AEST/AEDT Sunday end of week 7/Module 4.1
Weighting   25%
Total Marks 100 marks

Context ACCT6001

The spreadsheet is a powerful tool that has become entrenched in business processes worldwide. A working knowledge of Excel is a crucial skill for accountants. This assignment aims to assess the student’s ability to create spreadsheets. Students will be using raw data and summarising them in a user friendly format to aid decision making. Students will need to recommend additional excel-based analysis that facilitates business decision making.

Submisssion Instructions:

Students need to submit their Excel Workbook which includes the analysis and recommendation sheet. The file should be provided in the following format:

Student ID_ Student Name_ ACCT6001 Assessment 3.xlxs

Example: 0009989t_Adam_Smith_ACCT6001 Assessment 3.xlxs

The Flying Store

Mark Richardson has recently opened an online store named The Flying Store. He sells a very popular model of drone called the ‘Rocket Drone’. In an effort to widen his market, Mark has built a small website hosted by a web service provider. At the end of every week, the web service provider sends a data file to Mark that contains data about visitor traffic at his website. Mark would like to utilise this data to get insights on visitor usage of his website and he believes that the data would be valuable for business decision making. However, Mark lacks the technical knowledge to analyse and interpret this data and he is unsure how the results from the analyses can be used for making business decisions.

At the end of first week, Mark received a data file on visitor traffic. He decides to hire you so that you could assist him to analyse and interpret the data. The table 1 shows the first data file that Mark received on visitor usage of his website.

Operating System Browser Site Connection Add to Favourites Date Entry Time Exit Time Number of  pages viewed City State
Windows MS Internet Explorer DuckDuckGo Yes 01/02/2020 21:30:45 21:50:49 5 Melbourne VIC
Linux Chrome Yahoo No 03/02/2020 16:20:23 16:23:26 1 Rockhampton QLD
Linux Firefox WOW Yes 03/02/2020 18:21:46 19:24:32 16 Campsie NSW
Windows MS Internet Explorer Ask No 05/02/2020 09:36:21 09:45:20 4 Barton ACT
Windows MS Internet Explorer Dogpile No 06/02/2020 12:24:20 12:24:40 1 Adelaide SA

Figure 1

While Mark’s website was visited only five times in the first week, Mark is expecting the number of visits to go up over time. Before the he gets more real data form the web service provider in the coming weeks, Mark wants to explore the possible analyses that can be done with this data. Mark handed you a document listing specific instructions on what he expects you to do in Excel. The instructions are listed below.


  • Open an Excel Workbook and name it as ‘Flying Store Analysis_your student ID’ (i.e. Flying Store_00568578T’). Create a worksheet labelled as ‘Visitor Data’. Make a table similar to the one above using hypothetical details for 50 visitors.

In your hypothetical data, assume: (a) all visitors accessed Mark’s website from Australia, (b) at least 3 visitors accessed from each Australian states and territories (i.e. New South Wales, Queensland, South Australia, Victoria, Western Australia, Australian Capital Territory, Northern Territory), (c) All visits are made between 01/02/2020 and 28/02/2020. (d) Each visitor visits the website only once. So each row of data contains information about a specific visitor.

The table should include the following columns: Operating system, Browser, Site connection, Add to favourites, Date, Entry Time, Exist Time, Number of pages viewed, City, States.

  • In the ‘Visitor Data’ worksheet, add a column labelled as ‘Time Spent On Website’. This column should show the time that each visitor spends on Mark’s website. The values for this column should be calculated by using the values of Entry Time and Exit Time columns. The values should be reported in the h:mm:ss format.
  • Create a new worksheet in your workbook and label it as ‘Visit Duration’. Report the descriptive statistics (i.e. mean, median, maximum, minimum) for Time Spent On Website and the Number of Pages Viewed using appropriate excel functions. The descriptive statistics should be linked to the ‘Visitor Data’ worksheet.

Include a table in this worksheet showing the total number of visits and the total number of viewed pages, by week. The values for each week should be directly calculated from the ‘Visitor Data’ worksheet. The table may look like Figure 2.

Visit Count/Viewed Pages
  Week 1 Week 2 Week 3 Week 4 Total
Visit Count 30 46 32 49 157
Visited Pages 92 105 87 127 411

Figure 2

Mark mentioned, “I believe visitors are likely to visit more pages if they spend more time on my website”. Do you find support for this belief? Calculate and report the results for correlation to support your answer.

  • Create a worksheet labelled as ‘Favourites’. Include a table in this worksheet showing how many visitors added Mark’s website to their “Favourites” each week. The values should be directly linked to ‘Visitor Data’ worksheet. Your table may look like Figure 3.
Added as Favourite Link?
  Week 1 Week 2 Week 3 Week 4 Total
Added 5 24 45 32 106
Not Added 0 5 20 14 39
Total 5 29 65 46 145

Figure 3

  • Create a worksheet and label it as ‘Pivot table and Charts’. Build tables and charts that show the average Visit Duration by Operating system, by Site Connection, by Browser and by State. Provide these by creating 4 pivot tables/charts (one for each Operating System, Site Connection, Browser and State). You will place all 4 of these on the same worksheet. A sample for output for Visit Duration by Operating system is shown in Figure 4

Figure 4

  • Mark noted, “I want to use the data on website visitors to develop my monthly budget. I have gathered the following information that I believe can be useful for budget development.
  • 50% of the customers who spend more than 3 minutes on my website end up buying 1 drone. 20% of the customers who spend more than 5 minutes buy 2 drones.
    • I buy each drone from a drone manufacturer for $450. The selling price for each drone is $600.
    • Each drone is packed and delivered separately. Even for the customers who order multiple drones, I deliver each drone separately. Customers are not charged any additional delivery fees as I pay for the delivery. I deliver drones through StartTrack Delivery Services. The delivery costs vary across states. Their chart of delivery fees is listed below.”
State Delivery Cost
New South Wales $45
Queensland $35
South Australia $55
Tasmania $65
Victoria $20
Western Australia $35
Australian Capital $45
Northern Territory $35

Create a ‘Budget Summary Report’ worksheet. Include a table with a column for the state, estimated quantity, total incomes, total expenses and expected profit. The values for the estimated quantity column should be linked to the ‘Visitor Data’ worksheet. Use appropriate functions to fill out the remaining cells of the table. A sample table is shown in figure 5.

ACCT6001 Accounting Information Systems
ACCT6001 Accounting Information Systems
  State   Estimated Quantity Total Income   Total Expenses   Expected Profit
New South Wales 21 12,600.00 10,395.00 2,205.00
Queensland 12 7,200.00 5,820.00 1,380.00
South Australia 10 6,000.00 5,050.00 950.00
Tasmania 13 7,800.00 6,695.00 1,105.00
Victoria 23 13,800.00 10,810.00 2,990.00
Western Australia 12 7,200.00 5,820.00 1,380.00
Australian Capital Territory   7   4,200.00   3,465.00   735.00
Northern Territory 3 1,800.00 1,455.00 345.00
Total Profit               $ 11,090.00

Figure 5

Generate a pie chart to show the distribution of expected profits across different states.

  • Create a worksheet labelled as ‘Analysis and Recommendation’. This worksheet should contain the following three sections.
  • Findings – Briefly summarise your findings based on the analysis performed in requirement 2 to requirement 6.
  • Recommendation for additional analysis – In this section, you should comment on whether additional analyses can be performed using the types of data that Mark currently gets from the web service provider. You should provide two examples of additional analyses that can be performed using the given data and explain how to perform those analyses. Comment on how these additional analyses would help Mark to make business decisions.
  • Recommendation for additional data – Currently there is an option for Mark to get other types of data on his website visitors by paying an additional fee to the web service provider. Provide practical examples of two additional types of data that Mark should collect on his website visitors. Suggest the types of analyses that can be done using these additional data. Comment on how these analyses on additional data would help Mark to make business decisions.

Learning Rubric: Assessment 1

  Assessment Criteria Fail (Unacceptable) 0-49% Pass (Functional) 50-64% Credit (Proficient) 65-74% Distinction (Advanced) 75 -84% High Distinction (Exceptional) 85-100%
Formulae, formatting and cell references             20 % Formulae, formatting and cell reference are mostly incorrect and incomplete.   Incorrect calculations and major mistakes in formulas are present. More than 50% of the formulae, formatting and cell references are correct.   Several mistakes are present in calculations and formulas that have been used. Majority of the formulae, formatting and cell references are correct.   There are minor discrepancies or mistakes in calculations and formulas used. Almost all formulae, formatting and cell references are correct.   All calculations are correct and appropriate formulas have been used. All formulae, formatting and cell references are correct.   All calculations are correct and appropriate formulas have been used.
Tables, graphical presentation of data, Pivot Table Some tables, graphs, pivot tables are missing or created with wrong or incomplete data.   Poor visual presentation of data. Some mistakes are present in creating tables, graphs and pivot tables. Some mistakes have been done in data used, but overall student has proven working knowledge of the   Excel tools used. Visual presentation of data needs improvement in some cases. Tables, graphs and pivot tables have been created with minor mistakes.   Visual presentation could be improved. There are minor mistakes in table creation, graphs and pivot table.   Overall very good understanding of the Excel tools with professional presentation of data. Tables, graphs and pivot table have been created correctly with excellent presentation of data.   The student has shown excellent understanding of the Excel tools used in the assessment.
40 %          

Analysis and Recommendation Recommendations and analysis are not provided or very weak.   Limited application/ recommendations based upon analysis. The student demonstrated the ability to analyse and summarise data for the purpose of decision making.   Recommendations are valid, but could be improved. Well-developed analysis and with Excel application and recommendations linked to the analysis. Thoroughly developed and creative analysis and synthesis with application.   Well developed recommendations linked to the analysis undertaken. Highly sophisticated and creative analysis.   Excellent recommendations linked to the analysis undertaken.