Customer Segmentation Dashboard

Overview

The Customer Segmentation Dashboard leverages Salesforce data and advanced clustering techniques to segment customers and derive actionable insights. This project provides a user-friendly Tableau dashboard to visualize customer groups, their demographics, purchase behaviors, and other key metrics, enabling data-driven decision-making.

Features

• Data Extraction: Pulled customer data, including demographics and purchase history, directly from Salesforce.
• Advanced Analytics: Applied clustering techniques, such as k-means in Python, to create actionable customer segments.
• Interactive Dashboard: Built a Tableau dashboard to visualize customer groups and behaviors, offering insights into trends and opportunities.

Tools & Technologies

• Python: For data preprocessing and clustering analysis.
• Salesforce: As the data source for customer information.
• Tableau: For interactive dashboard creation and visualization.

Skills Gained

• Salesforce data analysis and integration.
• Application of customer segmentation techniques using clustering algorithms.
• Design and development of interactive Tableau dashboards.

How to Use

1. Clone this repository:

   git clone <repository-link>  

2. Follow the instructions in the Setup.md file to connect to Salesforce and prepare the dataset.
3. Open the Tableau dashboard file (CustomerSegmentation.twbx) to explore the visualizations.