Analyze the Data
Analyze the data in at least three different ways. Each form of Data Analysis should be provided on a separate, appropriately labeled worksheet. It is expected that each sheet will be professionally formatted and clearly documented with titles, comments, and explanation. Remove any extra sheets so your workbook is as compact as possible when you turn it in. Go back and review your labs for assistance in completing the different types of analysis.
The following are some examples of analysis you might wish to do:
Sort by discount level. Have discounts increased sales volumes? Is there any discount level that appears to be more effective than others?
Graph sales over time to see trends. Are there any peaks and lows in sales? Is there any time of year in which sales are highest? Lowest?
Pivot the data to see total sales by quarter, country, category, and salesperson. Are there any highs? Are there any lows that need to be addressed?
Subtotal the data. How are quarterly sales totals? Sales totals by salesperson? By Country?
Challenge Option: Perform What-If Analysis. What if prices were raised by a certain percentage with a slight decline in sales? What combination of price increases and decline in sales makes most sense?
Present your Conclusions in a Memo
Use the integration techniques we worked on in the course to develop a Memo (Word document) that includes data and graphs copied and pasted from your spreadsheet. You will turn in both your Recommendation Memo and your spreadsheet. (To help you formulate your report, there is a Word document named “ExcelProjectMemoTemplate” located in DocSharing – Course Project Materials. The yellow-lined information provides an explanation of what should be included in each section of the Memo.)
Your Memo will focus one paragraph on each of the Data Analysis sheets in your workbook. Explain the type of analysis you completed, the conclusions you drew, and a recommendation based on the analysis. (45 points)
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You should include a final paragraph that explains three things you learned about using Excel for data analysis. (15 points)
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