The detailed content and requirements are in the Word file provided below, and the Excel file provided is the data required by this Project. Please read the Project requirements carefully before bidding to ensure you can complete it correctly, thank you.
ACT-4435: Accounting Analytics
Individual Final Project – Total 65 points
Questions in Connect – worth 45 points
File Submission – .twb file – 20 points. Your Tableau file submission needs to include the following visuals.
Corrupted, unreadable file will result in a zero for submission:
1. Invoices and Receivables
2. Bad Debts
3. Total Sales by Day
4. Total Sales by Customer
5. AR by Customer
6. Days Sales Outstanding
7. Exceptions – Order after Shipment
8. Shipped No Invoice
The order-to-cash (O2C) process, or sales cycle, involves three main processes:
1. Sales order processing
2. Order fulfillment and shipping
3. Billing and cash collections
Financial accountants are interested in determining the amount of sales revenue on the income statement
and accounts receivable balance on the balance sheet as well as the calculation of bad debts expense.
Managers are concerned with making the process as efficient as possible to ensure increased sales volume,
sufficient profitability, and fast cash collection.
Auditors should test sales transaction and master data to ensure that only authorized users are processing
orders, that sales prices match master data and aren’t altered, and that customers aren’t exceeding approval
limits. In addition, auditors use accounts receivable aging schedules to evaluate outstanding balances.
Questions
Part 1: 18 points
OQ1. What value would be recorded for total sales revenue on the income statement for 2020?
Note: Round your answer to the nearest dollar. Hint: Net Sales Revenue balance
OQ2. Which month recorded the highest sales revenue?
OQ3. What value would be recorded for total accounts receivable on the balance sheet for 2020, excluding
the allowance for doubtful accounts? (Total AR Balance)
Note: Round your answer to the nearest dollar.
OQ4. If management estimates about 5 percent of sales to be written off each month, which month(s)
exceeded that estimate?
OQ5. If management estimates about 3 percent of the accounts receivable balance to be written off, what
would be the adjustment amount for bad debts expense at the end of the year? (AR balance * 3%)
Note: Round your answer to the nearest dollar.
OQ6. Which month’s accounts receivable balance is most likely to be written off? (longest outstanding or
smallest balance)
Part 2: 21 points
OQ1. What are the total sales orders for November?
OQ2. Which day had the highest sales order amount in November?
OQ3. Which customer did the company sell the most to in November?
OQ4. How much did the company sell to that customer in November?
OQ5. What is the value of the oldest outstanding invoice in November?
OQ6. What is the age of the oldest outstanding invoice?
OQ7. What is the current days sales outstanding KPI value for 2020?
Note: Round your answer to 2 decimal places.
Part 3: 6 points
OQ1. Which orders were created after shipment?
OQ2. How many orders have been shipped but not yet invoiced?
Instructions
QS1 Part 1: Financial
Within Tableau, import O2C.xlsx.
Create relationships between tables using the following diagram:
Create the following visuals with the same names:
9. Invoices and Receivables
10. Bad Debts
Invoices and Receivables :
1.
Create two new calculated fields:
a.
Net Sales Revenue: Total Invoice Amount – Total Adjustment Amount (Use IFNULL function
to eliminate any Null results)
b.
AR Balance: Total Invoice Amount – Total Receipt Amount – Total Adjustment Amount. Use
IFNULL function
c.
Actual Write-off Percent: Total Adjustment Amount / Total Invoice Amount.
2.
Create a table that shows the months of January, and the following columns (in this order):
a.
Invoice Amount
b.
Adjustment Amount
c.
Net Sales Revenue
d.
Receipt Amount
e.
AR Balance
f.
Actual Write-off Percent
3.
Filters: Invoice Date > Year: 2020
4.
Format Actual Write-off Percentage to show two decimal places.
5.
Show column Grand Totals.
Your result should look like this:
Bad Debts:
6.
Add a new bar chart called Bad Debts that shows the invoice amount and adjustment amount along
with a tooltip for write-off percentage. Tableau Hint: Choose Dual Axis and Synchronize Axis to
combine the two values.
a.
Filter this visual to show only values from January 2020 to December 2020.
7.
Clean up the formatting and titles of your visuals and combine them into a single dashboard or page
labeled Financial.
Your Bar Chart should look like this:
QS1 Part 2: Managerial
Create the following visuals:
1. Total Sales by Day
2. Total Sales by Customer
3. AR by Customer
4. Days Sales Outstanding
Total Sales by Day
1. Create a new worksheet called Total Sales by Day.
Your result should look like this:
Total Sales by Customer
1. Create a bar chart in a new worksheet called Total Sales by Customer.
2. Rows: Customer Account Name
3. Column: Sales Order Amount
Example result:
AR by Customer
1. Create a new worksheet called AR by Customer.
2. Create the following parameter:
a. Report Date: set the data type to Date and the current value to 12/31/2020 (choose this date
from the calendar pop up)
3. Create the following calculated fields:
a. Age = [Report Date]-[Invoice Due Date]
4. Rows: Invoice ID, Invoice Date, Invoice Due Date
5. Columns: SUM(AR Balance), SUM(Age),
6. To filter only outstanding invoiced, drag the AR Balance measure to the Filters shelf. Click Next, then
set the minimum value to 1.
Days Sales Outstanding
1. Create a new worksheet called DSO to calculate the days sales outstanding KPI.
2. Create a new Calculated Field
a. Days Sales Outstanding = [AR Balance]/SUM([Invoice Amount])*365.
3. Drag the Days Sales Outstanding measure to the Text button in the Marks card.
QS1 Part 3 Audit
Create the following visuals:
1. Exceptions – Order after Shipment
2. Shipped No Invoice
Exceptions – Order after Shipment
1. Create a new worksheet called Exceptions.
2. Create a new calculated field:
a. Order to Ship Days = [Shipment Date]-[Sales Order Date] and click OK.
3. Rows: Sales Order ID to the Rows shelf (if prompted, click Add All Members).
4. Marks: Text > Order to Ship Days
5. Filter: Order to Ship Days > At most 0
6. Sort Order to Ship Days in ascending order.
Shipped No Invoice
1. Now create a new worksheet called No Invoice to determine whether any orders have shipped but
have not been invoiced yet.
2. Drag Sales Order ID, Shipment Date, Shipment ID, and Invoice ID to the Rows shelf (choose Add All
Members if prompted).
3. Right-click Shipment Date and choose Measure > Maximum from the menu.
4. Drag Invoice ID to the Filters shelf. Choose Select from list, click None, then check Null, and click OK.
Sales_Order_ID
Sales_Order_Date
Customer_Account_ID
Sales_Order_Amount
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2/19/2020
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956.6
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637.1
1015.03
1281.95
887.23
427.38
300.57
564.52
398.14
342.62
307.07
488.95
1144.63
981.29
728.9
213.13
1164.23
652.94
356.96
476.07
954.44
635.13
819.88
1508.81
689.29
572.87
1838.88
699.67
599.78
460.49
333.18
471.21
860.18
867.1
556.29
1144.29
1067.53
100040252
100040253
100040254
100040255
100040256
100040257
100040258
100040259
100040260
100040261
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100040288
100040289
100040290
100040291
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100040294
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3/18/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/19/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
3/20/2020
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621.43
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4.95
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281.93
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124.9
452.01
651.08
302.45
101
1039.83
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339.47
471.89
650.25
826.53
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508.45
672.16
537.16
912.95
295.3
584.83
424.65
241.92
791.75
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436.6
387.24
1263.99
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3/20/2020
3/20/2020
3/20/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/23/2020
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3/23/2020
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3/23/2020
3/23/2020
3/23/2020
3/23/2020
3/24/2020
3/24/2020
3/24/2020
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3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/24/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
1002046
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133.96
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332.51
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144.65
1111.86
318.41
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423.77
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657.28
811.89
211.77
745.07
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1078.06
1840.15
821.92
292.34
994.85
1043.91
514.1
566.81
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2049.66
912.62
46.15
439.87
468.49
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3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/25/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
3/26/2020
1001797
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263.25
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387.96
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1819.01
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650.59
1063.15
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676.12
946.29
310.21
499.83
738.55
466.18
189.93
524.61
384.35
728.69
268.58
690.15
1350.39
837.74
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817.91
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555.57
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2779.36
896.59
801.57
1293.75
1315.13
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338.68
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533.34
438.46
854.35
100040393
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100040431
100040432
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100040434
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100040437
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100040439
3/26/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/27/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
3/30/2020
1003421
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1002930
1002429
803.72
679.04
691.89
1266.07
1205.78
550.22
510.67
1274.7
676.65
110.04
640.46
330.71
342.05
398.84
1406.79
837.38
187
563.07
814.45
1130.98
543.16
399.15
668.76
560.74
441.04
686.44
534.74
258.71
670.71
1001.68
728.84
428.61
591.08
333.01
677.53
1569.1
695.55
992.06
2493.5
870.43
605.76
465.57
666.91
1217.51
358.75
924.67
1306.07
100040440
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3/30/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
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3/31/2020
3/31/2020
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3/31/2020
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3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
3/31/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
1002977
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1002368
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1007
663.5
1528.59
490.97
777.34
337.97
1570.2
515.74
1155.47
911.32
435.77
1296.83
385.23
623.91
422.03
711.68
337.67
351.62
116.17
81.39
385.09
842.91
555.58
878.41
952.88
632.77
642.38
1234.72
599.68
872.58
1189.88
1109.55
1066.46
228.87
720.47
888.72
460.23
1037.66
786.01
703.25
183.36
657.09
929.81
895.3
1526.18
789.34
675.47
100040487
100040488
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4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
4/1/2020
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4/1/2020
4/1/2020
4/2/2020
4/2/2020
4/2/2020
4/2/2020
4/2/2020
4/2/2020
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4/2/2020
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4/2/2020
4/2/2020
4/2/2020
4/2/2020
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4/2/2020
4/2/2020
4/2/2020
4/2/2020
4/2/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
1002021
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1003091
1003422
1001880
1492.32
480.08
618.04
1255.46
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600.55
787.38
1094.43
986.13
578.05
936.61
670.83
463.05
631.47
1091.03
786.5
1366.59
1276.64
1015.82
686.25
818.69
355.35
865.52
848.83
276.23
881.85
165.27
436.61
1138.56
1955.48
1189.34
758.5
613.05
756.2
273.93
501.35
898.82
1047.05
1510.66
545.75
492.89
761.11
285.04
1072.35
433.19
227.75
1280.56
100040534
100040535
100040536
100040537
100040538
100040539
100040540
100040541
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100040570
100040571
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100040575
100040576
100040577
100040578
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100040580
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
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4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/3/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
1000183
1003104
1000382
1001009
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1002625
1003684
1003141
1003469
1002238
1000191
1000320
1002511
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1001400
1003077
1001858
1002768
1002736
1003285
210.14
1104.86
309.96
408.92
726.93
1556.21
630.12
794.95
968.04
898.52
457.1
1079.69
780.78
781.8
302.77
514.6
357.29
862.76
1714.6
682.64
1421.83
944.29
364.63
791.69
1200.8
2427.32
917.6
671.1
2168.77
487.97
1005.56
645.02
627.89
699.71
1500.75
305.45
470.49
582.63
697.76
1791.83
1425.67
1005.26
464.27
457.44
1458.56
643.34
1208.05
100040581
100040582
100040583
100040584
100040585
100040586
100040587
100040588
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100040618
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100040620
100040621
100040622
100040623
100040624
100040625
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100040627
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/6/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
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4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/7/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
4/8/2020
1003481
1000400
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1000054
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4/13/2020
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4/13/2020
4/14/2020
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4/28/2020
4/28/2020
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5/21/2020
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542.56
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641.22
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465
818.7
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215.55
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388.35
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1165.16
510.07
524.63
609.09…
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