Project Overview:
This project provides a comprehensive analysis of BMW vehicle sales using Python and Power BI. The objective is to clean, analyze, and visualize sales data to generate actionable insights that enhance strategic decision-making.
Project Goals:
End-to-End Analysis: Conduct a thorough analysis of BMW vehicle sales data. Data Cleaning: Clean and preprocess raw data for accurate analysis. Exploratory Data Analysis (EDA): Uncover patterns and trends in the dataset. KPI Development: Calculate key performance indicators relevant to sales performance. Interactive Dashboards: Create visualizations in Power BI to present findings. Actionable Insights: Generate recommendations based on the analysis.
Tools:
Python Libraries: Pandas: For data manipulation and cleaning. NumPy: For numerical operations. Matplotlib: For static visualizations. Seaborn: For advanced visualizations. Power BI: For creating interactive dashboards. CSV Datasets: Used for analysis.
Business Objectives:
Identify Top-Selling Models and Regions: Determine which BMW models and regions drive sales. Analyze Sales Trends and Pricing Patterns: Understand seasonal trends and pricing strategies. Provide Insights for Strategic Decision-Making: Facilitate data-driven decisions for sales strategies.
Dataset Preparation and Cleaning:
Handle missing values and outliers. Standardize data formats (dates, currency). Remove duplicates to enhance data quality.
Exploratory Data Analysis (EDA):
Visualize relationships between variables (e.g., sales vs. price, sales by model). Identify sales trends and customer demographics using various plots.
Key Performance Indicators (KPIs):
Calculate essential KPIs, including: Total sales revenue Average transaction value Year-over-year growth rates Market share by model and region Data Visualization and Dashboard in Power BI Develop interactive dashboards featuring: Filter options for dynamic analysis. Visual storytelling to highlight key findings. Clear metrics to monitor and evaluate performance.
Conclusion: This project delivers a detailed analysis of BMW vehicle sales, equipping stakeholders with insight-driven recommendations to enhance their strategies.
Author Younes Boumouh – Data Analyst