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YogaCo –original by EY Foundation Edited at
GGU
Background:
Final Exam Instructions
YogaCo is a privately owned business that began operations in March 2015. Its sole business is the
manufacture and sale of upper-end, high-quality yoga gear. It only sells to large distribution outlets. Its
primary product is a line of lightweight exercise clothes that contain a new, long-range RFID chip that
captures the following information about the user based on personal data (age, weight, etc.) entered by
the user:
► Heart rate
► Perspiration rate
► Calories burned
► Exercise efficiency (percent of capacity) The chip is able to continuously send this information to a host device as far away as 15 miles. The
clothes are also GPS enabled and able to track routes, distances, and elevations. Management prides
itself on being on the cutting edge. The company expects to conduct an IPO within a year or two.
YogaCo recently retained your firm as its consultant, largely because of your commitment to highly
efficient and technology-enabled analysis.
Data
You have been hired by YogaCo to help analyze their cash receipts to be able to complete a Cash Flow
analysis later. You are first responsible for performing an assessment of YogaCo related to its order-to-
cash function as it is a key piece in their Cash Flow model. Your first task is to acquire the data for these
transactions. You work with YogaCo’s IT group to gain access to its sales and cash receipts data for its
start-up period of operations, March through December 2015. You have been provided with an Excel file
with this data (2015 Data Tab) so you can begin your analysis. The data file includes the following fields:
► Type: this is the type of transaction, which is either a sale (Sales) or a cash receipt (CashReceipt).
► TransactionNumber: this is the transaction number (beginning with 1001 and will not exceed 9999)
automatic invoices are sent on this day to customers.
► AppliedToTransaction Number: this is the sales transaction number to which a cash receipt is
applied.
► CustNum: this is a unique customer number used to identify each customer.
► CustName: this is the customer’s name.
► TransactionDate: this is the date of the sale or cash receipt.
► Amount: this is the amount of the sale or cash receipt. Cash receipts will show a negative amount. Part I:
Become familiar with your data file. Make certain that your data is complete and accurate before
performing any analysis. Complete the following in the Final Exam – Data spreadsheet:
YogaCo –original by EY Foundation Edited at
GGU
1. You’ve been told that the accounts receivable balance on the general ledger on December 31, 2015,
is $684,491.19. They can always get this number from accounting to act as check figure. You also
know that as a start-up company, the beginning accounts receivable balance is zero. You are also
told that there are no returns or write-offs in 2015. Create a validation check for this balance on the
Validation Tab.
2. You’ve also been told that YogaCo only conducts business with the following 15 approved customers. Create a check figure on the Validation Tab to make sure that there are no other
customer names and that no customer names are misspelled. Hint: If there are X total amount of
transactions and you can count the total of each CustName to match the below list and both totals
match… etc. etc.
Bigmart
Cool Threads
Corner Runner
Cross Country Mart
Family Fit
Fit N Fun
Goodway
Neighborhood Athletic Supply
Northern Lites
Runner's Market
Southeast Regional
Southern Runners
Super Runners Mark
Urban Runner
ValueChoice IMPORTANT: If there is an error (totals don’t add up), you will need to create a check figure on the 2015
data tab for CustName to find transactions that are incorrect or don’t belong. If you find an error, write the
Type, TransactionNumber, CustName, and Amount in the Notes tab, this information will be important.
Then correct the data (if CustName is misspelt, then correct to right spelling above). HINT: (Filtering,
Sorting, and one of the “If” formulas will be helpful.
3. The sales transaction log shows that 230 sales were transacted this year, beginning with transaction
1001. Create a check in the validation tab to ensure data for all invoices has been captured and that
there are no additional invoices or duplicates included in the file. If there are duplicates or additional
invoices, note it in the Notes tab.
YogaCo –original by EY Foundation Edited at
GGU
Part II:
Now that you have your data, you need to perform appropriate transformation techniques to inform your
analysis for the order-to-cash transactions for YogaCo. Remember we are trying to figure out how the
company has collected from cash from sale transaction in the past year.
1) Create a new tab and name it “2015 Consolidated”. Have the following headers and fill them in with the appropriate data:
TransactionNumber – from 2015 data tab
CustNum – from 2015 data tab
CustName – from 2015 data tab
TransactionDate – from 2015 data tab
Amount – from 2015 data tab
Cash Receipt Amount Applied – Create Formula to pull from 2015 data tab
Cash Receipt Date – Create Formula to pull from 2015 data tab
Amount Yet to Be Received – Formula data from this tab
Days Since Transaction – Formula data from this tab
Assume that this report is as of December 31, 2015. For example, if the transaction date was December
15th 2015, days since the transaction would be 16. If cash for the sale has been received, it should say
“Received” in the Days Since Transaction column. (Hint, Transaction numbers are unique).
2) Insert a pivot table into a new tab with the 2015 Consolidated table created above to analysis the
sales and cash receipts and answer the following questions if asked:
a) Which Customer has the highest risk to not pay their accounts based on number of outstanding invoices and most days outstanding?
b) Which Customers are paid in full? When was their last purchase transaction date?
3) Develop an aging analysis of the amounts that are outstanding using 30-day increments (0–30 days,
31–60 days, 61–90 days and > 90 days). Use the Days since Transaction for the aging analysis.
Provide a visualization of the percentage of amounts yet to be received in each aging category at the
company level using a column chart. “Received” cash transaction should not be used in analysis or
appear in chart.
a) YogaCo is looking for the following on the chart:
i) Percentages on the Y Axis – neat and clean looking
ii) Aged day ranges clearly defined on X Axis – in ascending order
iii) Actual percentages above bars - showing as percentages with no decimals
iv) Proper Title that explains the chart
v) Neat and clean and easy to read
b) What would the Bad debt % Rate be for 2015 if all amounts that are >90 Days from transaction
date were uncollectible. Find the Bad Debt % as the amount of uncollectible sales divided by
YogaCo –original by EY Foundation Edited at
GGU
total sales AND as the amount of uncollectible sales divided by total Cash Receipts made in 2015
(by transaction date). Round to nearest 4 decimal places (e.g., XX.XX%)
YogaCo –original by EY Foundation Edited at
GGU
Part III:
After compiling all of the data for sales and cash receipts, YogaCo now asks you to help complete a cash
flow analysis and budget using the information from 2015 Data. They want to see what net operating
cash flow (Cash Method not Accrual) would look like given the below assumptions. They also wish to
have a model that is dynamic so they can change any of their assumptions and see its effect on the cash
flow model. They ask that all assumptions could be on a dashboard tab where they can change and
update them easily. The 2015 Data is all of their revenue from 2015. Actual Expenses can be found on
the “Expenses” tab.
After interviewing YogaCo, you have the following notes about their assumptions for 2016:
Revenue Cash Receipts will raise monthly over the next year. Monthly growth of rate of 0.25%
o Note:
Taxes and Fees will be the same and in the same months as 2015
G&A will be 20% of Revenue
COGS will be 50% of Revenue
Professional Costs will be the same until August 2016 when it will go up to 75,000 a month for the rest of the year (Including August)
Bad Debt Expense will be 1% of Cash Receipts (ignore calculated number in Part II)
On the Dashboard, YogaCo would like to see all assumption listed out and be able to change any
assumption and see the changed results. They would also like to see Total Gross Revenue, Total
Expenses, and Net Operating Cash Flow per year (2015 and 2016).