This repository contains a comprehensive business case analysis focused on streamlining business operations and optimizing efficiency. The analysis leverages a customer store dataset, applies various models and metrics, and provides actionable insights and recommendations. The accompanying R code supports the analysis and provides evidence-based findings.
The objective of this business case is to address customer inquiries, identify growth opportunities, and optimize business operations. By analyzing the provided customer store dataset, we explore key questions and provide data-driven recommendations to enhance customer experience, increase revenue, and improve overall efficiency.
The repository contains the following files:
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business_case_analysis.Rmd: The main R Markdown file that presents the business case analysis, storytelling, and recommendations. It includes embedded R code snippets for analysis and evidence-based insights.
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store-b-data.xlsx: The customer store dataset used for the analysis.
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Loyal Customers.csv: A CSV file containing a list of customers who subscribed to the monthly plan for all of the past 12 months.
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README.md: The readme file providing an overview of the repository.
To reproduce or further explore the analysis, follow these steps:
- Download or clone the repository to your local machine.
- Install the necessary libraries/packages specified in the R code snippets.
- Open and run the "business_case_analysis.Rmd" file in an R Markdown editor or notebook.
- Ensure that the "store-b-data.xlsx" file is in the same directory as the R Markdown file.
- Run the code snippets provided in the analysis to perform the data processing, calculations, and generate insights.
Please note that the analysis assumes a working knowledge of R and the specified libraries/packages.
The Streamline and Optimize Business Case provides a comprehensive analysis of the customer store dataset, uncovering insights, and offering recommendations for operational improvements. By implementing the suggested strategies, the business can enhance customer satisfaction, increase revenue, and drive long-term growth.
Feel free to explore the analysis, leverage the R code snippets, and adapt the insights to your specific business context. We hope this analysis serves as a valuable resource in your pursuit of business optimization and growth.
This project is licensed under the MIT License.