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1 Assignment 2 BFA747 Semester 2, 2022 Data Analytics for Accounting Assignment Type: Group assignment for on-campus students (maximum of 3 per group) Working in a group is optional for online and...

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Assignment 2
BFA747 Semester 2, 2022
Data Analytics for Accounting
Assignment Type: Group assignment for on-campus
students (maximum of 3 per group)

Working in a group is optional for online
and distance students.
Weighting: 30% (15% Oral; 15% Written Report)
Due Date: Group presentations in the Week 6
Workshops. Distance and Online
groups/students to record and upload
with written report.

Written Report is due on the 19th of
August (Friday: 11:59 PM)
Submission: Upload files on to MyLO. Click here for
link to upload written report.

For online and distance students, click
here to upload recorded presentations.
Submission Files 1. Word file of Report to manager
2. Excel file(s) showing calculations
3. Screenshot of assignment cover
page uploaded to individual
student’s personal MPA
Pe
lepad
4. Video Recording of oral
presentation (Online and
Distance Students Only)
Group formation and sector selection
Students must form groups of 3 in their workshops. Online and distance students can complete the
assignment on their own. This is because online and distance students may find it difficult to find group
members. There is a MyLO forum on the BFA747 page that all students can use to find potential group
members by posting on this forum. If you are still having difficulties in finding a group, please email your
unit coordinator.
Once you have formed your groups, all group members are to go to “Groups” on the BFA747 MyLO page
and select any of the “Groups” that does not have any members and each member is to enroll
themselves in this group. It is very important that all group members are enrolled in the same group as
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mylo.utas.edu.au/d2l/lms/dropbox/admin/mark/folder_submissions_users.d2l?db=154907&ou=508622
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https:
mylo.utas.edu.au/d2l/lms/group/group_list.d2l?ou=508622
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the mark that will be assigned to your written report will be assigned to only those group members who
are enrolled in the group on MyLO. Please let us know if there is anyone who is enrolled in your group
who should not be in your group.
Groups are then to select one of the 10 sectors by which ASX-listed companies are classified:
1. Materials
2. Industrials
3. Consumer Discretionary
4. Health Care
5. Consumer Staples
6. Energy
7. Information Technology
8. Communication Services
9. Real Estate
10. Utilities
No two groups in the same workshop can choose the same sector. Sectors must be chosen in the
workshops. Groups will inform their tutor of their prefe
ed sector and sectors will be given on a first
come first-serve basis. This sector will be used by the groups in their assignment.
Context
Your group are part of a team of consultants for a financial consulting firm based in Australia. Your group
eceive an email from your manager.
------------------------------------------------------------------------------------------------------------------------------------------
Hi [Your Names],
We have a new client from America who is a major player in the [Your Sector]. They are interested in
investing in Australia and have requested us to perform a range of analyses. For your team, I would like you
all to calculate the Altman’s Z for each of the company from the sector listed on the ASX for only the year
2021. You can find the dataset here. I’m not sure how best to present the analysis but I’d like to use Tableau
to present the data in a Choropleth Map of Australia. For each State, you should show the average Z-Score
of companies in that state. I want the colour scheme to be green to red. Green representing low risk of
ankruptcy and red representing high risk of bankruptcy. I also want the data labels to show the names of
the states and the average Z-score. I will use the map to identify those states with the greatest risk of
ankruptcy. I believe that these are the states that the company should target as it must be cheaper to set
up in these states.
Please send me the excel file(s) and also a report that:
i.) provides an overview of the sector in Australia with reference to how it has fared during and
after COVID;
ii.) presents your analysis of the data visualization map on Tableau based on my methodology
described above;
iii.) evaluates my methodology;
iv.) discusses the limitations of Altman’s Z as a predictor of bankruptcy;
https:
mylo.utas.edu.au/d2l/le/content/508622/viewContent/4632680/View
https:
help.tableau.com/cu
ent/pro/desktop/en-us/maps_howto_choropleth.htm
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v.) discusses any other issues that could be relevant in our analysis.
This is all a very rough idea so there could be flaws in my methodology. I’m not entirely sure if we should
focus on bankrupt states or financially strong states. Your analysis might even lead me to conclude that
maybe our client shouldn’t invest in Australia at all. So I’m really looking forward to what your analysis will
inspire and it will help me improve my methodology so that we can provide more accurate and relevant
advice to our American client.
Lastly, if there any other issues that you identify or even a better way of helping client in their decision to
establish a presence in Australia, then please also provide a short note on that in the report.
Grateful if you could send me all the files by the 19th of August as my presentation to the client is at the
end of August.
Should you have any questions or queries please feel free to contact me.
Kind Regards,
Geoff Bayzos
What you’ll need to complete the assignment?
Files
The dataset for the assignment can be found here.
Software
You all should have access to either a word processor software (Microsoft Word, Apple Pages) and a
spreadsheet software (Microsoft Excel, Apple Numbers).
You will also be required to use Tableau to generate the map visualization. You would have received a
link from Tableau sent by the unit coordinator. This link will allow you to activate your online Tableau
account that is valid for 12 months.
Main report to be submitted
Your assignment will consist of a number of files. The main file that will be graded will be the report to
your manager. While his email was informal, your report will be formal in tone. The report will address
the questions raised by the manager in his email. You should divide your report into sections, and this
could be based on the issues he has highlighted in his email. You can begin with an introduction and then
y presenting the data and discussing the Australian states that have the greatest risk of bankruptcy based
on their Z Score. You should insert an image (Label as Figure 1) of the map generated from Tableau clearly
showing the colour scheme and the names of the states. The name of the Tableau sheet showing the map
should be as follows: ID Number_FirstNameSurname e.g., 12345_GlennFinau. An example of how this
chart should be presented is shown on the next page:
https:
mylo.utas.edu.au/d2l/le/content/508622/viewContent/4632680/View
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The next sections can then focus on evaluating/critiquing the manager’s methodology and the Altman’s
Z-Score. You can also have another section highlighting any further issues or this could be incorporated in
the conclusion. Sources used in the assignment should be referenced co
ectly both in-text e.g., Finau
(2021) and in the bibliography. The ru
ic for the report is attached in the appendix. There is no word limit
ut it is expected that the report should be between 1,000 to 2,000 words in length.
The written report is worth 15% of the assignment and will be marked as a group. That is, everyone in the
same group will receive the same mark for the written report.
Other Files for Submissions
While not directly marked, you are expected to upload your excel file(s) that were used in your analysis
as proof that your group analysed the data. The excel file must be uploaded in order for the word report
to be graded. You also need to upload a screenshot of the cover page of your assignment to your personal
MPA Pe
lepad portfolio. Click here if you have not created your Pe
lepad portfolio.
On the cover page, you must indicate which group member’s Tableau account was used to create the
map. We will check this group’s member’s Tableau account to verify that the group created their own
map visualization. It is thus important that the group creates the map using the Tableau link sent by the
unit coordinator.
If any of the files (excel, screenshot, Tableau map on online student account) are missing then the
group’s/individual’s mark will be withheld. The files will also be checked to ensure that group are the
actual authors of the files and that the data in the files matches the report. Any discrepancies will be
thoroughly investigated and potentially could attract penalties.
Oral Presentation
On-Campus Students (Hobart and Launceston) will present in the Week 6 Workshops. They are to present
in their groups and are expected to use a PowerPoint presentation. It is expected that each group’s
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presentation should not exceed 15 minutes. Groups should imagine that they are presenting to their
manager.
Online and distance students must record their presentation and upload here. You must have your face
showing throughout the presentation. If your face is not showing then your oral presentation will not be
assessed. It is also expected that online and distance students’ presentation should not exceed 15
minutes.
A possible structure for the oral presentation could be as follows:
Member 1 – Overview of the sector
Provide the manager with an overview of the sector and how it has fared during COVID. For instance, was
it adversely affected by COVID, did it thrive during COVID, how is it doing post-COVID? Refer to a variety
of sources (refereed publications, news articles, other data) to support your arguments.
Member 2 – Analysis of the Z-Score Map
Present your analysis of the Z-Score map. Discuss the findings and identify states that would be good
investment sites based on the manager’s methodology.
Member 3 – Evaluation of the manager’s methodology and z-score
Evaluate the manager’s methodology: Do you agree with it? What were its limitations? How could it be
improved?
Answered 5 days After Aug 11, 2022 University of Tasmania

Solution

Rochak answered on Aug 17 2022
76 Votes
Altman Z-Score
    RIC    Year    Company Names    Country of Headquarters    GICS Sector Name    State or Province of Headquarter    State or Province of Legal Regis    Cu
ent Assets    Cu
ent Liabilities    Total Assets    Reatined Earnings    EBIT    Revenue    Total Liabilties    Market Value    Altman Z-Score
    1752.HK    2021    Top Education Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    24,827,358.68    5,842,437.15    54,448,934.91    7,434,261.34    1,738,784.88    18,628,766.80    17,968,193.51    59,617,999.44    3.05
    3PL.AX    2021    3P Learning Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    29,800,778.29    41,821,562.73    192,053,625.66    -16,313,386.17    -4,940,428.44    43,160,704.51    45,968,703.37    351,275,219.43    4.53
    ABV.AX    2021    Advanced Braking Technology Ltd    Australia    Consumer Discretionary    WESTERN AUSTRALIA    WESTERN AUSTRALIA    4,013,676.34    1,264,161.84    5,122,629.70    -38,520,945.65    508,364.01    7,755,925.29    1,582,076.79    9,909,903.37    (4.28)
    ABY.AX    2021    Adore Beauty Group Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    35,741,439.17    15,730,792.01    42,279,690.18    -50,849,147.85    4,102,902.47    134,421,792.17    16,592,311.56    273,339,092.94    12.27
    ADH.AX    2021    Adairs Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    80,703,524.45    121,215,730.30    314,688,746.95    69,065,861.54    75,925,111.13    379,118,811.73    189,777,882.30    497,506,189.15    3.73
    AGI.AX    2021    Ainsworth Game Technology Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    143,779,289.04    35,027,630.11    294,780,646.18    45,762,508.53    -12,757,837.28    119,608,004.86    78,888,647.29    315,418,067.24    3.32
    AKG.AX    2021    Academies Australasia Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    12,554,641.63    19,338,077.06    65,254,294.48    -9,749,641.97    -2,387,361.38    31,959,450.85    43,411,137.52    25,475,348.66    0.39
    AKP.AX    2021    Audio Pixels Holdings Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    584,285.00    2,490,347.83    2,999,658.78    -50,187,424.22    -4,113,916.70    78,908.97    2,560,130.97    468,792,879.39    81.18
    ALG.AX    2021    Ardent Leisure Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    98,092,956.18    91,306,764.41    680,951,343.72    -475,531,403.51    -19,842,569.36    293,457,915.85    583,050,669.23    470,157,759.85    (0.15)
    ALL.AX    2021    Aristocrat Leisure Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    2,383,643,208.64    866,615,121.14    6,266,394,005.30    2,278,649,314.61    892,556,489.32    3,422,670,877.02    3,463,497,821.36    21,181,405,681.68    5.49
    ALO.AX    2021    Alloggio Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    1,162,331.58    4,173,068.70    31,098,471.16    -5,155,583.38    395,826.62    8,467,537.43    30,500,783.54    14,084,404.79    0.24
    AMS.AX    2021    Atomos Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    45,458,839.76    17,060,186.40    68,380,958.09    -28,439,892.33    2,756,262.70    58,942,482.89    20,608,237.30    171,110,998.18    5.89
    APE.AX    2021    Eagers Automotive Ltd    Australia    Consumer Discretionary    QUEENSLAND    QUEENSLAND    997,070,589.00    974,979,127.49    2,708,666,990.95    -43,456,922.78    312,762,358.34    6,289,675,550.49    1,934,884,311.86    2,507,009,532.38    3.47
    AQS.AX    2021    Aquis Entertainment Ltd    Australia    Consumer Discretionary    AUSTRALIAN CAPITAL TERRITORY    AUSTRALIAN CAPITAL TERRITORY    7,434,002.95    4,194,103.43    14,565,183.93    -17,239,877.74    1,121,343.68    18,283,931.44    28,779,121.68    3,891,361.32    0.20
    ARB.AX    2021    ARB Corp Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    257,977,491.02    84,590,122.14    493,564,471.50    232,104,911.94    104,651,005.86    467,292,249.32    129,329,154.45    3,113,655,338.64    17.17
    ARPC.PK    2021    Arem Pacific Corp    Australia    Consumer Discretionary    VICTORIA    DELAWARE    78,030.00    165,510.00    120,310.00    -206,570.00    37,770.00    318,590.00    165,510.00    5,120,000.00    18.97
    ASG.AX    2021    Autosports Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    322,544,219.42    369,058,776.78    905,634,742.71    -43,419,385.31    54,070,286.20    1,483,414,436.64    592,421,777.17    312,281,746.18    2.02
    ATL.AX    2021    Apollo Tourism & Leisure Ltd    Australia    Consumer Discretionary    QUEENSLAND    QUEENSLAND    82,742,616.35    122,184,315.70    267,465,452.99    -35,386,034.24    -16,425,106.28    219,954,412.19    238,656,659.34    84,462,868.72    0.47
    ATP.AX    2021    Atlas Pearls Ltd    Australia    Consumer Discretionary    WESTERN AUSTRALIA    WESTERN AUSTRALIA    11,009,634.92    5,144,576.33    21,033,208.62    -13,820,797.94    3,152,284.26    13,706,895.91    7,218,341.59    9,009,663.06    1.31
    AUA.AX    2021    Audeara Ltd    Australia    Consumer Discretionary    QUEENSLAND    QUEENSLAND    4,881,119.30    475,560.29    4,929,458.87    -3,222,855.39    -958,378.63    836,116.34    499,186.47    5,336,101.81    6.10
    AUK.AX    2021    Aumake Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    5,012,049.28    7,788,474.08    12,998,425.42    -32,772,608.33    -5,572,501.86    10,750,414.26    8,959,173.42    8,835,423.00    (3.78)
    AX1.AX    2021    Accent Group Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    231,224,681.77    258,047,215.18    843,695,286.07    23,250,292.06    71,898,727.07    753,858,233.07    518,271,608.68    963,816,147.70    2.29
    BAP.AX    2021    Bapcor Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    511,948,053.90    272,679,558.22    1,341,516,394.36    134,583,748.85    143,096,221.76    1,320,901,408.87    560,382,847.59    1,727,357,867.30    3.54
    BBN.AX    2021    Baby Bunting Group Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    77,220,797.74    63,191,273.08    227,487,824.49    14,426,271.79    22,763,271.68    357,180,895.45    146,947,398.77    540,303,903.70    4.27
    BBT.AX    2021    Bluebet Holdings Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    42,635,095.11    7,359,281.39    44,604,068.41    602,838.74    5,491,531.02    24,256,761.32    8,156,318.18    213,560,232.61    17.63
    BET.AX    2021    Betmakers Technology Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    100,923,797.88    16,567,665.65    172,676,199.12    -22,959,413.36    -15,625,430.20    14,591,479.28    26,163,501.26    498,094,249.35    11.61
    BEX.AX    2021    Bikeexchange Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    12,814,544.61    3,178,879.65    13,073,307.89    -28,487,886.99    -4,680,233.04    3,453,403.71    3,264,829.16    15,492,845.27    (0.24)
    BKG.AX    2021    Booktopia Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    24,628,661.83    25,716,620.80    57,685,819.04    -15,955,731.84    6,753,443.45    167,869,594.88    34,898,664.61    136,618,726.45    5.24
    BLX.AX    2021    Beacon Lighting Group Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    84,121,770.27    60,088,604.33    220,012,592.74    29,790,171.60    44,475,125.55    219,473,229.05    134,900,851.15    502,609,970.89    4.22
    BRG.AX    2021    Breville Group Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    355,003,036.69    164,269,807.83    577,825,431.70    155,576,633.25    104,486,049.98    890,506,039.63    198,063,268.08    3,207,251,290.47    12.63
    BST.AX    2021    Best & Less Group Holdings Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    92,664,350.41    102,045,940.74    260,141,706.24    30,547,253.11    49,335,467.52    437,006,721.18    227,426,377.99    373,164,126.88    3.41
    BUD.AX    2021    Buddy Technologies Ltd    Australia    Consumer Discretionary    SOUTH AUSTRALIA    SOUTH AUSTRALIA    15,398,435.92    21,590,826.95    52,310,042.06    -82,297,737.86    -13,181,811.37    22,255,554.14    28,358,636.56    35,240,051.98    (2.01)
    CBR.AX    2021    Ca
on Revolution Ltd    Australia    Consumer Discretionary    VICTORIA    VICTORIA    88,957,703.81    20,418,538.04    149,422,279.54    -172,127,705.84    -22,466,240.28    34,073,135.44    35,215,829.77    153,832,192.30    1.29
    CCX.AX    2021    City Chic Collective Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    113,166,477.97    48,093,634.95    200,175,453.07    23,437,980.34    24,462,206.36    194,845,128.93    63,035,637.97    926,056,874.86    10.75
    CKF.AX    2021    Collins Foods Ltd    Australia    Consumer Discretionary    QUEENSLAND    QUEENSLAND    80,415,021.58    117,591,094.98    906,161,756.71    63,107,152.69    79,844,331.59    836,626,572.40    628,213,839.23    1,132,727,365.13    2.34
    CL8.AX    2021    Carly Holdings Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    2,887,822.51    931,400.85    3,222,450.49    -15,081,248.27    -2,625,580.16    747,430.06    1,123,881.86    4,559,281.55    (5.85)
    CLU.AX    2021    Cluey Ltd    Australia    Consumer Discretionary    NEW SOUTH WALES    NEW SOUTH WALES    21,801,595.57    3,655,954.53    22,885,348.17    -85,170,286.95    -7,968,725.87    7,616,357.62    3,702,104.69    85,762,409.16    8.82
    CTD.AX    2021    Corporate Travel Management...
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