Zoom Link Step-By-Step Instructions From The Teacher

Zoom Linkstep By Step Instructions From The Teacherhttpslearnsnhu

Zoom Linkstep By Step Instructions From The Teacherhttpslearnsnhu

ZOOM LINK Step by step instructions from the teacher QSO 320 Milestone One Guidelines and Rubric Overview: Uncovering organizational inefficiencies is the first step to optimizing performance. In order to determine what inefficiencies exist, you need to perform a data analysis. A good place to start is with sales. You have to know what data to analyze as well as how to use specific tools for data analysis. Using the IF function, pivot tables, pie charts, bar charts, and histograms can help you isolate and organize specific data in a way that makes it easier to read.

Studying measures of central tendency can also help reveal important information. After you discover where inefficiencies in sales exist, you need to be able to articulate the impact this has on the organization. Prompt: For this assignment, you will use the Vinho Winery Case Study and other course resources to review raw data sets that summarize the production, sales, and distribution of wine. You will need to analyze the various types of wine and different distribution centers to determine their financial impacts on the organization’s total revenue. All of your analyses need to be submitted in an annotated Excel file, and each analysis needs to include a rationale.

Specifically, the following critical elements must be addressed: A. Using a pivot table, determine the percentage of wine varieties sold from each distribution center. Illustrate your results in the form of a pie chart. Hint: Create a pivot table using the data spreadsheet as its basis. B. Generate a labeled bar chart that illustrates the sum of wine varieties sold to each distribution center. C. Using a pivot table, calculate the total amount of revenue generated for each distribution center. Illustrate your results on a bar chart. Hints: Production cost data is provided in the Costs and Distances tab. Make sure you don’t mix your units of measurement (i.e., pallets, cases, or bottles). D. Using the IF function, calculate the central tendencies (mean, median, and mode) of shipment volume for each distribution center. Illustrate your results in a table. (Do NOT use a pivot table or manually identify each cell to be evaluated.) E. Analyze the frequency of shipment by size using a histogram. Use the following bin sizes (number of pallets): 72, 48, 24, 18, 12, 6, 3, 1. F. Create a shipment histogram to show the distribution of shipments for Portland and Riverside. Use the same bin sizes as you did in Part E. Hint: Use the alphabetical sort for the destination column, and select Data Analysis to plot the frequency of pallet shipments using the bin sizes listed for the two destinations separately. G. Provide a summary statement that describes the inefficiencies in the organizational sales analysis. In your response, explain why this information is important for influencing management decisions. Rubric Guidelines for Submission: Your assignment must be submitted using the Case Study Data Set Microsoft Excel document. Use 11-point Calibri font.

Critical Elements Exemplary Proficient Needs Improvement Not Evident Value Wine Varieties Meets “Proficient†criteria and demonstrates an insightful rationale for appropriately employed Excel functions (100%) Uses a pivot table to determine the percentage of wine varieties sold from each distribution center and illustrates results in the pie chart (85%) Uses a pivot table to determine the percentage of wine varieties sold from each distribution center, but does not illustrate results in the pie chart, or response contains inaccuracies or is missing key information (55%) Does not determine the percentage of wine varieties sold from each distribution center (0%) 16 Distribution Center Meets “Proficient†criteria and demonstrates an insightful rationale for appropriately employed Excel functions (100%) Generates a labeled bar chart that illustrates the sum of wine varieties sold to each distribution center (85%) Generates a labeled bar chart that illustrates the sum of wine varieties sold to each distribution center, but bar chart contains inaccuracies or is missing key information, or a rationale is not provided (55%) Does not generate a labeled bar chart that illustrate the sum of wine varieties sold to each distribution center (0%) 12 Revenue Meets “Proficient†criteria and demonstrates an insightful rationale for appropriately employed Excel functions (100%) Uses a pivot table to calculate the total amount of revenue for each distribution center and illustrates results in a bar chart (85%) Uses a pivot table to calculate the total amount of revenue for each distribution center, but does not illustrate results in a bar chart, or response contains inaccuracies or is missing key information, or a rationale is not provided (55%) Does not calculate the total amount of revenue for each distribution center (0%) 16 Critical Elements Exemplary Proficient Needs Improvement Not Evident Value Central Tendencies Meets “Proficient†criteria and demonstrates an insightful rationale for appropriately employed Excel functions (100%) Uses the IF function to calculate the central tendencies of shipment volume for each distribution center and illustrates the results in a table (85%) Uses the IF function to calculate the central tendencies of shipment volume for each distribution center, but does not illustrate the results in a table, or response contains inaccuracies or is missing key information, or a rationale is not provided (55%) Does not calculate the central tendencies (0%) 12 Size of Shipment Analyzes the frequency of the shipment by size using a histogram (100%) Analyzes the frequency of the shipment by size using a histogram, but response contains inaccuracies or a rationale is not provided (55%) Does not analyze the frequency of the shipment by size (0%) 12 Distribution of Shipment Creates a shipment histogram to show the distribution of shipments for Portland and Riverside (100%) Creates a shipment histogram to show the distribution of shipments to Portland and Riverside, but response contains inaccuracies or a rationale is not provided (55%) Does not create a shipment histogram to show the distribution of shipments for Portland and Riverside (0%) 16 Sales Analysis Meets “Proficient†criteria and response demonstrates a sophisticated awareness of how the inefficiencies impact managerial decision making (100%) Provides a summary statement that describes the inefficiencies in the organizational sales analysis and explains why information is important for influencing decisions (85%) Provides a summary statement, but the statement description is cursory, contains inaccuracies, or lacks justification (55%) Does not provide a summary statement that describes the inefficiencies in the organizational sales analysis (0%) 10 Critical Elements Exemplary Proficient Needs Improvement Not Evident Value Articulation of Response Submission is free of errors related to citations, grammar, spelling, syntax, and organization and is presented in a professional and easy-to- read format (100%) Submission has no major errors related to citations, grammar, spelling, syntax, or organization (85%) Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas (55%) Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas (0%) 6 Total 100%

Paper For Above instruction

Analyzing organizational inefficiencies through data is crucial for optimizing performance and making informed managerial decisions. In the context of the Vinho Winery case study, a comprehensive data analysis focusing on sales, distribution, and revenue can unveil areas of improvement, leading to more effective resource allocation and strategic planning. This essay details the process of conducting such an analysis utilizing various Excel tools, including pivot tables, charts, and functions, along with measures of central tendency, to identify and illustrate inefficiencies in sales and distribution networks and their financial impacts.

Pivot Table Analysis of Wine Varieties by Distribution Centers

The initial step involves creating a pivot table to determine the percentage of wine varieties sold from each distribution center. By selecting the relevant data set and configuring the pivot table to display the count of each wine variety against the distribution centers, we can compute the proportion of each variety sold from each location. For visualization, a pie chart derived from this pivot table effectively illustrates the share of each wine variety across the distribution network. This visual representation highlights the diversity or concentration of wine varieties in different centers, helping management recognize potential bottlenecks or overrepresentation that could impact inventory management and sales strategies.

Sum of Wine Varieties Sold to Each Center

Next, a labeled bar chart depicts the total quantity of wine varieties sold in each distribution center. This involves summing the total sales figures from the dataset, grouped by each center via pivot table. The bar chart provides a clear comparison, revealing which centers perform better or worse, and if sales are evenly distributed. Identifying uneven sales distribution can point to inefficiencies in inventory allocation, marketing efforts, or regional demand variations.

Revenue Calculation and Visualization

The analysis proceeds with calculating the total revenue generated per distribution center using a pivot table. Here, we incorporate production cost data from related tabs to ensure accuracy, converting units as necessary to maintain measurement consistency (e.g., cases, bottles). The resulting total revenue figures, visualized through a bar chart, inform managers about the financial contributions of each center. Disparities in revenue may indicate operational inefficiencies, pricing issues, or regional preferences that require strategic adjustments.

Central Tendencies of Shipment Volumes

To understand shipment patterns, the IF function calculates the mean, median, and mode of shipment volumes for each distribution center, avoiding pivot tables or manual cell evaluation. These measures of central tendency reveal typical shipment sizes and variation, helping detect anomalies or inconsistencies in distributed volumes. For example, unusually high or low median shipment sizes may suggest logistical inefficiencies or inventory miscalculations, prompting further investigation.

Shipment Size Frequency and Distribution

The frequency of shipment sizes is analyzed with a histogram using predefined bin sizes: 72, 48, 24, 18, 12, 6, 3, 1 pallets. This statistical visualization offers insights into shipment patterns, identifying common shipment sizes and potential under or over-utilization of shipping capacity. Additionally, shipment histograms specific to Portland and Riverside destinations, created using the Data Analysis tool, illustrate distribution differences. Recognizing distribution disparities helps optimize transportation logistics and reduce costs.

Summary of Organizational Inefficiencies and Managerial Implications

The analysis identifies several operational inefficiencies, such as uneven sales distribution across centers, inconsistent shipment sizes, and regional revenue disparities. These inefficiencies impact overall organizational performance by increasing costs, reducing profitability, and hampering strategic planning. Recognizing these issues allows management to implement targeted corrective actions—such as inventory redistribution, optimized shipping schedules, or regional marketing adjustments—to enhance efficiency and profitability.

In conclusion, data-driven insights derived from pivot tables, charts, and statistical measures are instrumental in uncovering inefficiencies within the winery’s sales and distribution network. These findings support strategic decision-making aimed at improving resource allocation, reducing costs, and increasing revenue, ultimately leading to a more competitive and efficient organization.

References

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