MarktingAnalysis_project

Marketing Data Analysis Project

Overview

This project focuses on analyzing marketing data to extract valuable insights about customer behavior, campaign performance, and overall market trends. The analysis aims to support data-driven decision-making by leveraging cleaned datasets, advanced SQL queries, and interactive visualizations through Power BI.

Objectives

Data Cleaning: Use SQL to preprocess raw datasets and ensure data consistency, accuracy, and usability.

Exploratory Data Analysis (EDA): Gain insights from the cleaned data, such as identifying trends, customer segmentation, and campaign success metrics.

Visualization: Build interactive dashboards in Power BI to make insights accessible and actionable for stakeholders.

Features

SQL Data Cleaning: Predefined scripts to handle missing data, outliers, and duplicates.

Interactive Dashboards: Visualizations that allow stakeholders to explore key performance indicators (KPIs) such as customer retention, sales performance, and campaign ROI.

Data-Driven Insights: Data-backed recommendations to optimize marketing strategies.