1

ASSESSMENT BRIEF

Subject Code and Title ACCT6001 Accounting Information Systems

Assessment Assessment 3: Case Study – Excel-Based

Individual/Group Individual

Length

Learning Outcomes

d) Apply technical knowledge and skills in creating information for the workplace using spreadsheets

and relational databases

e) Communicate with IT professionals, stakeholders and user

groups of information systems

Submission By 11:55pm AEST/AEDT Sunday end of week

9/Module 5.1

Weighting 25%

Total Marks 100 marks

Context: 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 assessment 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.

Submission Requirement:

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

2

Background

Your case study has been inspired by the Grand Prix Formula 1 race event held annually in March in Melbourne as the first race of each F1 season. It is a three day event and thousands of local and international tourists attend the event each year. Victorian Government funds the event. You will conduct an analysis of hypothetical budgeted and actual data to prove your Excel skills. You will work on The 2020 Race Event budget and analyse weekly ticket sales for the 2020 Australian Grand Prix Event during the period from 5th till 11th of August 2019.

Detailed instructions:

Create an Excel Workbook with 6 Worksheets (tabs):

Individual Registration

Total Sales per Ticket Type

Total Sales per Ticket Type per Country

The Race Event Budget

Budget Summary Report

Analysis and Recommendations

1. Individual Registration Worksheet

The Individual Registration Worksheet contains information received from customers when booking a ticket for the Australian Grand Prix event online. Create a table similar to the one below using hypothetical details of 30 customers. Include following columns: Purchase Date ( use dates between 5.8.-11.8. 2019), First Name, Surname, Street Address (including city and state if applicable), Country, Date of Birth, Mobile Number, Ticket Type, Amount paid. Please use customers from 8 – 10 countries only. You can find pricing information per ticket type on the official Australian Grand Prix webpage under the following link. https://www.grandprix.com.au/tickets/search

Ticket types will vary based on the number of days the ticket is purchased for (3 days Pass, Friday, Saturday, Sunday, Saturday and Sunday) and additionally location (Paddock Club, The Lounge, Race Cube etc). Example of the ticket type: Paddock Club Lounge 3- DAY PASS Chicane Pavilion Lower SUNDAY

3

You do not have to use all ticket types. Use between 6-8 ticket types only. Assume only those tickets have been sold during the week you will be analysing.

Below is a simplified example similar to the table you need to create. Please note, the columns in the example are slightly different from what is required. Make sure you follow the instructions above.

2. Total Sales per Ticket Type Worksheet

The purpose of the next worksheet is to summarise the total amount paid per ticket type using relevant Excel formulas.

Create a table showing a summary of the total amount paid per ticket type. Your column headings should be: Ticket Type, Total Amount Paid Use appropriate IF formulas to summarise values per each ticket type (6-8 in total) linking the values directly to the data from the Individual Registration Worksheet you have created.

3. Total Sales per Ticket Type per Country Worksheet

The purpose of the next worksheet is to summarise the customer registration data using the Pivot Table and Charts Tools. Pivot tables are one of the Excel's most powerful features. A pivot table allows you to summarise a large set of data in an easy and user friendly way. It is especially important in nowadays business world where we are dealing with large data sets and smart extracts are often needed to aid decision making within a business. You are expected to create a Pivot Table summarising the weekly sales per each ticket type and the country of sale during the period from 5th till 11th of August 2019.

4

Below is an example of a pivot table summarising promotional product sales per country. Your pivot table will be summarising sales per ticket type per country.

Charts are a great Excel tool helping to present data graphically. Once you create the pivot table, use Charts Excel tool to present the same data graphically. Use the chart type you consider the most appropriate. Make it presentable using appropriate title and formatting. Below is an example from the sample above.

4. The Race Event Budget Worksheet

You have been provided with the Income/Funding and Expenses Tables extracts from the 2019 Race Event Budget. You are expected to create the 2020 Race Event Budget using exactly same categories in your tables and information below.

Income Funding:

- Use the actual quantity achieved per each description item and increase it by 10%

for your 2020 budget. The only exemption will be Registrations with estimated

quantity of 100 for the 2020 race event.

- Assume 3% increase in unit cost per each category.

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

$14,000

$16,000

$18,000

Promotional Product Sales per Country5.8-11.8.2019

CALENDARS PHOTOS STICKERS

5

Expenses:

- The actual quantity was 5% higher than estimated values and the increase should be

reflected in the 2020 budget.

- Assume 3% price increase in each expense category.

5. Budget Summary Report Worksheet

The Budget Summary Report Worksheet should contain your 2020 budget summary as per example below (please ignore the graph).

6

Budget Summary Column

• Create the labels Total Expenses, Total Income and Balance with design

similar to above.

• Total Expenses value is to be linked to the 2020 Expenses table.

• Total Income value is to be linked to the total budgeted Income amount from the 2020 Income/Funding table.

• Balance is to be calculated as a difference between Total Income and

Total Expenses

Summary of Expenses and Income

• Create the labels for each category of expenses as per above example.

• Use the appropriate IF function to get the sum of all items that belong to

each category. For example, in case of the total expenses for the Other

category, find all categories equal to Other under the category column and

add their amount from the amount column of the Expenses table.

• In the 2019 Expenses table above, the Jerseys and T-shirts belong to the

Other category. Therefore, the total under the Other category is a sum of

expenses related to Jerseys and T-shirts of $39,000.

6. Analysis and Recommendations Worksheet

The Analysis and Recommendations Worksheet’s purpose is to summarise your findings.

Provide commentary on the sales per ticket type and location over the analysed period. You

can use summary table and graphical presentation of data to help your analysis. Based on

the analysed sales from the week 5.8-11.8.2019, provide three recommendations in terms

of the proposed marketing campaign for the following week.

Provide a summary of the 2020 budget you have created and formulate one

recommendation referring to the information provided in the 2019 Budget.

7

Learning Rubrics

Assessment Attributes

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

40 %

Formulae, formatting

and cell reference are

mostly incorrect and

incomplete.

Incorrect calculations

and major mistakes in

formulas are present.

0 - 19

More than 50% of the

formulae, formatting and cell

references are correct.

Several mistakes are present

in calculations and formulas

that have been used.

20-25

Majority of the formulae,

formatting and cell

references are correct.

There are minor

discrepancies or mistakes in

calculations and formulas

used.

26 - 29

Almost all formulae,

formatting and cell references

are correct.

All calculations are correct and

appropriate formulas have

been used.

30-33

All formulae, formatting and cell references are correct.

All calculations are correct and

appropriate formulas have

been used.

34-40

Tables, graphical

presentation of data,

Pivot Table

40 %

Some tables, graphs,

pivot tables are

missing or created

with wrong or

incomplete data.

Poor visual

presentation of data.

0- 19

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.

20 -25

Tables, graphs and pivot

tables have been created

with minor mistakes.

Visual presentation could be

improved.

26 -29

There are minor mistakes in

table creation, graphs and

pivot table.

Overall very good

understanding of the Excel

tools with professional

presentation of data.

30 -33

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.

34-40

8

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.

20% 0-9 10-12 13-14 15-16 17-20