In this final unit, you will complete your Retail Store Performance Analysis that you began in Unit 7. This assignment offers an opportunity to apply the business analytics skills developed throughout this course.• Business Strategy: Formulating effective strategies for competitive advantage.•
Data Analysis: Utilizing data-driven decision-making, data collection, and data visualization to evaluate and present relevant information.• Financial Analysis: Assessing fiscal health to inform strategic decisions and manage risk.These in-demand skills will prepare you to contribute to organizational success in current and future business roles.TaskYou are a highly sought-after consultant with a proven track record of transforming retail chains into market leaders. You’ve just been hired by a well-known retail chain facing stiff competition and declining sales across several locations.
The management team is eager to understand what’s happening in their stores and how they can improve performance. Your task is to analyze the Retail Performance Dataset provided and prepare a comprehensive report for the management team.Retail Store Performance Analysis Part 2In Unit 7, you created data visualizations that highlighted key insights from the Retail Performance Dataset. In this unit, you will incorporate feedback from Part 1, refining your visualizations and analysis as needed, and focus on assessing the competitive landscape. Additionally, you will examine the impact of external factors, such as seasonality and economic conditions, on sales as a key component of your analysis. Finally, you will develop actionable recommendations to improve the store’s performance and profitability.
Compile a final report using the following structure:• Title Page: Include your retail chain name, your name, and the date.• Executive Summary: A brief overview of your findings and recommendations.• Introduction: Summarize the business problem and purpose and of the analysis.•
Dataset Overview: Describe the dataset, including key variables and any limitations.• Analysis Methodology: Explain the methods used for data analysis in detail.• Findings: Present the results of your analysis, integrating data-driven insights to identify key trends and patterns.
Discuss top-performing and underperforming stores, customer demographics, promotional effectiveness, and external influences.
Recommendations: Detail actionable strategies to improve store performance, along with a strategic roadmap for implementation and measuring success.•
