I have included the captures just in case but really only chapter 7 if referenced in the project which is on 7-61. I have also included the template for the assignment in word and the dataset needed to complete the project. We will of course need this in APA and with unique references. Please keep in mind this professor hates AI so please stay away from anything that looks like AI generated as a finished product. See full description below.
Managing accounts receivable effectively is crucial for maintaining healthy cash flow and financial stability within an organization. In an accounting analytics context, data exploration plays a key role in understanding the patterns and trends in accounts receivable data. By analyzing historical data on customer payments, overdue invoices, and outstanding balances, accountants can identify potential issues, such as delayed payments, frequent late payers, or discrepancies between expected and actual cash flows. Data exploration tools and techniques, such as data visualization and trend analysis, can uncover hidden insights that may not be immediately obvious through traditional accounting methods.
This deeper understanding of accounts receivable allows organizations to implement targeted strategies, such as refining credit policies, improving collections efforts, or forecasting future cash inflows more accurately. Through data exploration, businesses can optimize their accounts receivable management, reduce the risk of bad debt, and improve overall financial performance.
INSTRUCTIONS
Format
- ion from PAC 7.3 on page 7-61 of your textbook. All of your work will go in the template, but the instructions are repeated below to give you options for viewing the instructions. You will only need the sales order worksheet in this dataset: U4 IP Dataset.
Step 1: Open the SalesOrders worksheet.
- Title it "Credit Policy Analysis."
- Enter "PayCategories" in G1.
- In G2, insert this formula: =IF(AND(D2<=15,D2<>""),"Early",IF(AND(D2>15,D2<=30),"OnTime",IF(D2>30,"Late","N/A"))).
- Click on the cell and drag the formula down the column. (You can also copy the first cell and paste it on the cells in the column.)
- Format the amount table by clicking the $ sign.
- Insert a snapshot of your new data here.
Step 2: Insert a PivotChart by going to the Insert tab and clicking "PivotTable."
- Click the PivotTable.
- Select pay categories as the row in the PivotTable fields.
- Select amount for the values in the PivotTable fields.
- Click on the down arrow beside the sum of amount in values in the PivotTable fields, and click "Value Field Settings."
- Change to count.
- Insert the PivotTable here.
- Click into the PivotTable you created.
- Click on "PivotChart" located in the tool bar under PivotTable Analyze.
- Choose the column as your visualization.
- Insert the column (bar chart) here.
- Move the visualization under your PivotTable in your Excel sheet.
- Go to your PivotTable and click the filter (looks like a funnel).
- Uncheck "N/A" so that this field no longer shows.
- Make a copy of your PivotTable beside L2 by using copy and paste special values.
- Copy the =M3/$M$6 formula in cell N3.
- Click on the cell, and drag the formula down the column. (You can also copy the first cell and paste it on the cells in the column.)
- Change to percentage by clicking the percent sign (%).
- Copy and paste special values on this column.
- Delete your count column.
- Delete you grand total row.
- Create a pie chart by copying the new data and clicking "Pie Chart" under "Insert" in the tool bar.
- Right-click in the pie chart, and click on "Add labels."
- Insert the pie chart here.
Step 3: Create another visualization based on the data that you created in Step 1.
- Click on the data.
- Click the PivotTable.
- Select pay categories as the row in the PivotTable fields.
- Select amount for the values in the PivotTable fields.
- Click the $ sign for the sum of amount to change numbers to dollars.
- Using the process you completed previously, create a bar chart and a pie chart with the new PivotTable.
- Insert the new PivotTable here.
- Insert the new column (bar chart) here.
- Insert the new pie chart here.
Step 4: Write an analysis that addresses the following questions:
- How would you present this information to leadership?
- Does the current credit policy work?
- What suggestions would you make to increase efficiency?
Please submit your assignment.
For assistance with your assignment, please use your textbook and all course resources.
Individual Project Rubric
The Individual Project (IP) Grading Rubric is a scoring tool that represents the performance expectations for the IP. This Individual Project Grading Rubric is divided into components that provide a clear description of what should be included within each component of the IP. It’s the roadmap that can help you in the development of your IP.
| Expectation | Points Possible | Points Earned | Comments |
The student presented this analysis to leadership. | 25 | ||
The student explored whether the credit policy works. | 25 | ||
The student explored possible issues with nonpayment. | 25 | ||
The student provided an appropriate level of detail and analysis. | 20 | ||
The student provided recommendations to increase efficiency. | 20 | ||
| Professional Language: Assignment contains accurate grammar, spelling, and punctuation, with few or no errors. | 10 | ||
Total Points | 125 | ||
Total Points Earned |