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Customer segmentation is a crucial aspect of marketing strategy as it helps businesses understand their customers better and tailor their marketing efforts accordingly. By dividing customers into groups based on similarities such as demographics, behavior, or purchasing patterns, businesses can target each segment more effectively.

Home Page: https://kishorejayshankar.github.io

License: MIT License

customer-segmentation-data-analysis-using-power-bi-and-sql's Introduction

Customer Segmentation Data Analysis Using Power BI and SQL

This repository contains code and resources for performing customer segmentation data analysis using Power BI and SQL.

Overview

Customer segmentation is a crucial aspect of marketing strategy as it helps businesses understand their customers better and tailor their marketing efforts accordingly. By dividing customers into groups based on similarities such as demographics, behavior, or purchasing patterns, businesses can target each segment more effectively.

In this project, we utilize Power BI for data visualization and analysis, along with SQL for data querying and manipulation. The goal is to extract insights from customer data and create actionable strategies for targeted marketing campaigns.

Features

  • Data Preprocessing: Clean and prepare raw data for analysis.
  • SQL Queries: Write SQL queries to extract relevant data from databases.
  • Data Visualization: Create interactive visualizations using Power BI to explore customer segments.
  • Segmentation Analysis: Apply clustering algorithms or predefined rules to segment customers.
  • Insights Generation: Derive actionable insights from the segmented customer data.
  • Dashboard Creation: Build comprehensive dashboards to present findings and recommendations.

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