Explanation of the Importance of Data Analysis Data analysis is important for managers to make decisions. Managers must use qualitative and quantitative data to decide how to deploy capital for investments. A manager must use data to implement controls based on measures in place to ensure the project is progressing according to the plan or if actual performance has deviated from planned performance. One quantitative measure of performance is to measure cost of goods produced, cost of goods sold, revenue, and profit. This report will analyze this data and conclude with several questions to consider of a qualitative nature to prove context to the quantitative data. Description of Findings The company achieved its goal of more than 25% profit within the period of performance. Total revenue from sales was $245,000. The total cost of goods sold (COGS) was $182,136.50. The total profit was 62,863.50. The ending inventory of finished goods is 220,000 units. The cost of production began high but decreased in May and July. Sales, conversely, started low but increased through the year until September, when they plateaued at 120,000 units sold each month for the remainder of the year