BUS225_Module_Four_Assignment (1)

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Jun 27, 2024

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1 Module Four Assignment Pamela Tang Southern New Hampshire University BUS 225: Critical Business Skills for Success Shawn Nichols June 13, 2024
2 Module Four Assignment Explanation of the Importance of Data Analysis The process of data analysis entails the interpretation of data to provide valuable insights that can facilitate decision-making. Analyzing the data pertaining to a new product launch enables individuals to comprehend the relationship between revenue and costs. Through data analysis, problematic areas within the financial model can be pinpointed and addressed. This report will delve into the annual cost and revenue breakdown of a company's product launch in its inaugural year, with a specific focus on the expenditure associated with each cost variable and its impact on revenue. Description of Findings After conducting a thorough analysis of the data, I have arrived at the interpretation that the product launch started generating profits solely at the onset of the third quarter and continued to do so until the conclusion of the fourth quarter. The measure of the product's success was based on a profitability objective of twenty-five percent. Each month, the profit was calculated by considering the cost of goods sold and the total revenue. Unfortunately, company failed to meet its annual target of 25% profitability, as it only achieved an overall profitability of 4% over the course of twelve months. Upon a reduction in labor costs amounting to roughly half of the total labor expenditures, alongside an increase in the volume of units sold over time, despite a temporary decline in April and May, the product managed to achieve profitability. Despite the reduction in labor costs, the production output remained consistent, thereby allowing the company to realize cost savings on labor in the long run. One could hypothesize that the surge in sales over the course of the year can be attributed to heightened product awareness or the impact of a well-executed marketing campaign. The product met expectations in the latter half of the year. I was able to compare the profitability objective for each month with the monthly profit totals calculated in the bottom profit row. Additionally, the annual percentage profit had already been determined. Summary of Results
3 I employed the information extracted from the uppermost column to construct a line chart. I made this decision in order to comprehend the linear correlation between the variables and facilitate their comparison. I eliminated one variable that was hindering the visibility of the others. Alternatively, I could have adjusted the transparency of the lines to include all the variables in a visible manner. This analysis enables me to identify the areas where expenditure was reduced in order to achieve profitability.
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