Business Intelligence (BI)

This repository contains datasets and Jupyter notebooks related to the Business Intelligence course/project under the Artificial Intelligence and Data Science branch. It focuses on data analysis, visualization, and insights generation using real-world datasets.

📁 Repository Structure

BI/
├── BI 5 iris.txt           # Analysis on Iris dataset
├── BI 5 telco.txt          # Analysis on Telco Churn dataset
├── Iris.csv                # Iris dataset
├── telco_churn.csv         # Telco Churn dataset

🚀 Technologies Used

• Python
• Jupyter Notebook
• Pandas, Matplotlib, Seaborn
• Business Intelligence Concepts

📌 How to Use

1. Clone the repository:

   git clone https://github.com/kamblesarvesh178/BI.git
   

2. Open the .txt files or convert them to .ipynb format for execution in Jupyter.
3. Use the provided .csv datasets for analysis.

📚 Topics Covered

• Exploratory Data Analysis (EDA) – Summary statistics and visualizations.
• Customer Churn Analysis – Using Telco dataset to identify churn patterns.
• Classification and Clustering – Using Iris dataset for predictive modeling.
• BI Dashboards – (To be added) Visual summaries for decision-making.

📦 Future Enhancements

• Add interactive dashboards using Power BI or Tableau.
• Include SQL-based BI queries.
• Integrate real-time data sources.

🤝 Contributing

Contributions are welcome! Feel free to fork the repository and submit pull requests for improvements or new features.

📄 License

This project is open-source and available under the MIT License.