Confectionery Sales Performance Analysis
Comprehensive data analysis of Vietnamese confectionery brands with 2010-2020 sales performance analytics using Python, SQL, and interactive visualizations
Project Overview
Project Scope
Comprehensive analysis of Vietnamese confectionery market focusing on three major brands: Orion Food Vina, Kido, and Kinh Do, examining 2010-2020 sales performance data with advanced statistical modeling and visualization.
Key Innovation
Implemented CAGR (Compound Annual Growth Rate) calculations, seasonal trend analysis, and competitive positioning assessment to provide actionable business intelligence for strategic decision making.
Impact & Results
- • Analyzed 10+ years of sales data across 3 major brands
- • Identified key market trends and growth patterns
- • Generated interactive visualizations for stakeholder insights
- • Provided competitive analysis and market positioning data
Technical Details
Timeline
August 2024 - Individual Project (1 Month)
Core Technologies
- • Python for data processing & analysis
- • Pandas & NumPy for data manipulation
- • Matplotlib & Seaborn for visualization
- • SQLite for database management
- • Jupyter Notebook for development
Project Type
Data Analytics & Market Research
Key Features
- • Sales trend analysis & forecasting
- • CAGR calculations for growth assessment
- • Competitive market positioning
- • Interactive data visualizations
Key Market Insights
📈 Growth Analysis
- • Orion Food Vina shows consistent market leadership
- • CAGR calculations reveal sustainable growth patterns
- • Seasonal trends identified for strategic planning
- • Market share dynamics analyzed across 10-year period
🏆 Competitive Positioning
- • Orion Food Vina maintains market dominance
- • Kido shows strong regional performance
- • Kinh Do demonstrates stable market presence
- • Revenue trend analysis reveals market opportunities
Technical Implementation
Data Analysis Pipeline
Data Collection & Processing
Gathered and processed 10+ years of sales data from Vietnamese confectionery market, cleaning and standardizing data formats for analysis.
Statistical Analysis
Applied CAGR calculations, trend analysis, and seasonal decomposition to identify market patterns and growth trajectories across brands.
Competitive Analysis
Developed comparative metrics and market positioning analysis to assess relative performance and competitive advantages of each brand.
Visualization & Reporting
Created comprehensive visualizations and interactive reports using Matplotlib and Seaborn for stakeholder presentation and decision support.