Consumer Goods Data Analysis Project from Code Basics
A comprehensive MySQL-based project designed to analyze consumer goods data and address 10 ad-hoc requests from management, enabling data-driven business improvements and decision-making.
Key Features
-
📊 Ad-hoc Query Resolution: Designed and executed SQL queries to address 10 specific management requests, delivering actionable insights promptly.
-
📈 Sales Performance Analysis: Evaluated sales trends by product, region, and time periods to identify high-performing and underperforming categories.
-
🌍 Regional Insights: Analyzed geographical sales patterns, highlighting key markets and regions needing attention or optimization.
-
🛍️ Customer Behavior Analysis: Investigated customer purchase trends to understand buying patterns and preferences for targeted strategies.
-
📦 Inventory Optimization: Assessed inventory levels to ensure balanced stock availability and minimize overstock or shortages.
-
💸 Revenue and Profitability Metrics: Tracked revenue contributions across product lines, regions, and time frames, providing insights into profitability.
-
🛠️ Data Cleaning and Transformation: Performed data cleaning and transformations to ensure high-quality, accurate datasets for analysis.
-
🕒 Time Series Analysis: Used time-series data to uncover seasonal trends and forecast potential opportunities or risks.
-
📥 Data Integration: Integrated multiple datasets into a unified database schema, enabling seamless and efficient querying.
-
🚀 Decision Support: Provided data-driven recommendations to enhance business strategies and operations based on analyzed results.