Branch Operations Analysis and Optimization is a comprehensive project designed to analyze and optimize the performance of multiple branches within a fictional company. This project showcases the ability to research, evaluate, and translate large datasets into actionable business insights using a variety of tools and technologies, including Microsoft Excel, VBA, and Power BI.
Branch-Operations-Analysis/ ├── data/ ├── raw_data.xlsx ├── excel/ ├── analysis.xlsx │ ├── powerbi/ └── Branch_Operations_Report.pbix
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data/: Contains SQL scripts for database setup, the Python script to generate synthetic data, and the resulting
raw_data.xlsxfile. -
excel/: Includes the Excel workbook (
analysis.xlsx) for data analysis with embedded VBA macros (macros.bas). -
powerbi/: Contains the Power BI report file (
Branch_Operations_Report.pbix) for data visualization.
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Data Generation: Synthetic data generation using Python to simulate branch operations across multiple branches and time periods.
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SQL Database Setup: Scripts to create and populate a relational database with the generated data.
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Data Analysis: Comprehensive analysis using Microsoft Excel with pivot tables and VBA macros.
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Data Visualization: Interactive Power BI dashboards to visualize key performance indicators and trends.
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Documentation: Detailed executive summaries, presentations, and process diagrams to communicate findings and recommendations.
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Automation: VBA scripts to automate data refreshing and report generation in Excel.
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Microsoft Excel: For data analysis and visualization (
analysis.xlsx), utilizing pivot tables and VBA macros. -
VBA (Visual Basic for Applications): To automate tasks within Excel (
macros.bas). -
Power BI: For advanced data visualization and interactive reporting (
Branch_Operations_Report.pbix).
First, clone the repository to your local machine using Git:
git clone https://github.com/yourusername/Branch-Operations-Analysis.git
cd Branch-Operations-Analysis