Grader Instructions Access 2019 Project Exp19 Ch03 Cap

Grader Instructionsaccess 2019 Projectexp19 Access Ch03 Cap Brilt

Brilton Madley, a board game manufacturer, hired a new CEO. She asked for your assistance in providing summaries of data that took place before she started with the company. To help her with her strategic planning, you will create queries to perform data analysis. Based on your meeting, you plan on creating four queries. One query will find orders with minor delays. Another query will summarize company revenue and cost by country. A third query will be used to help evaluate payments made by customers on their orders. The final query will calculate the total sales by sales representative title.

Paper For Above instruction

Introduction

The role of data analysis in strategic decision-making cannot be overstated, especially in manufacturing companies like Brilton Madley Games. As a newly appointed CEO, understanding historical operations through efficient data queries is essential for informed planning and resource allocation. This paper discusses the creation and application of four Access queries aimed at providing critical insights into order delays, financial performance by country, customer payment evaluations, and sales performance segmented by sales representative titles.

Developing the 'Shipping Efficiency' Query

The first query, titled 'Shipping Efficiency,' focuses on order fulfillment timelines. It involves selecting specific fields from the Customers and Orders tables, including customer names, contact information, order identifiers, order dates, and shipped dates. A calculated field named 'DaysToShip' computes the duration in days between order placement and shipment, ensuring no negative values through appropriate data handling. The query filters for orders taking longer than 30 days to ship, highlighting potential inefficiencies.

Analysis of Delivery Delays

The significance of measuring shipping delays lies in identifying bottlenecks within the supply chain. Longer than expected delivery times may indicate issues in inventory management, supplier delays, or processing inefficiencies. By analyzing the 'DaysToShip' and focusing on orders exceeding 30 days, the company can target specific areas for process improvement and enhance customer satisfaction.

Revenue and Cost Analysis by Country

The second query, 'Revenue and Cost by Country,' aggregates financial data across different geographic regions. It combines data from Customers, Orders, and Products tables, emphasizing the total revenue and total cost calculations. The 'TotalRevenue' is computed by multiplying ordered quantities by unit prices, while 'TotalCost' multiplies quantities by unit costs. Both figures are formatted as currency and summed across countries, providing a comprehensive financial overview.

Temporal Filtering of Orders

Additionally, the query filters orders based on date, specifically those completed between July 1, 2018, and December 31, 2018. This temporal focus enables the analysis of sales performance during a specific period, aiding in assessing seasonal trends and planning future inventory and marketing strategies.

Customer Payment Evaluations

The third query, 'Customer Payments,' builds upon the previous financial analysis. It simplifies data to focus on individual customers by removing geographic and order-specific fields and emphasizing customer names and total revenue. It introduces a calculated field, 'SamplePayment,' which uses the PMT function to estimate monthly payments on customer orders assuming a 5% annual interest rate over 12 months. This analysis helps evaluate potential installment plans or financing options offered to customers.

Understanding Payment Structures

Assessing payment structures is vital in managing cash flow and predicting revenue streams. The calculated sample payment provides insights into the financial commitments of customers, enabling the company to tailor financing options and improve credit risk management.

Sales Performance by Title

The final query, 'Revenue by Sales Rep,' examines sales performance based on the titles of sales representatives. It excludes customer details and total costs, focusing instead on the sales team’s effectiveness. By joining the Sales Reps table and sorting by total revenue in descending order, management can identify high-performing sales roles and allocate resources accordingly.

Strategic Implications

This segmentation facilitates targeted training, incentive programs, or leadership development within the sales team. Understanding which titles generate the most revenue allows for strategic human resource planning and sales strategy adjustments.

Conclusion

The use of targeted Access queries provides Brilton Madley Games' leadership with valuable insights into operational efficiency, financial health, customer financial engagements, and sales performance. By systematically analyzing delays, financial summaries, and sales data, the company can make data-driven decisions to enhance productivity, optimize resource allocation, and improve customer satisfaction. Implementing such data analysis practices is vital for sustainable growth and competitive advantage in the manufacturing industry.

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