The goal of this project is to build an end-to-end sales data dashboard that integrates data from multiple sources to provide insights on sell-in and sell-out metrics, customer behavior, and sales performance trends.
This project leverages sales data from Amazon Sales Data 2023, covering the following categories:
- Beauty and Grooming
- Furniture Sales
- Health and Personal Care
- Home Decor
The data includes product details, pricing, ratings, discounts, and customer behavior metrics, offering a rich foundation for analysis and actionable insights.
- Data Cleaning & Preparation 🧹: The sales data is sourced from multiple locations (e.g., Excel, SQL databases). Initial cleaning and preparation are performed to ensure data integrity.
- Exploratory Data Analysis (EDA) 🔬: EDA is conducted to identify patterns in the data, uncover key metrics, and highlight trends that will be useful for business stakeholders.
- Dashboard Development 📈: A dashboard is created using Power BI or Tableau to display actionable insights such as:
- Top-selling products 🏆
- Customer behavior trends 📅
- Regional sales performance 🌍
- Key performance indicators (KPIs) 📊
- Data Cleaning & Preparation 🧹: Handling messy data, removing duplicates, handling missing values, and standardizing data formats.
- Exploratory Data Analysis (EDA) 🔍: Using statistical techniques to uncover patterns, trends, and insights in the sales data.
- Data Visualization 🖼️: Creating intuitive and interactive dashboards to present insights clearly to cross-functional teams.
- Cross-Functional Reporting 📣: Communicating results effectively to stakeholders with varying levels of data expertise.
- SQL 🗄️: Used for querying data from databases and performing aggregation and joins.
- Power BI / Tableau 📊: Data visualization tools used to create dynamic, interactive dashboards for end users.
- Python 🐍: Leveraged for data cleaning, exploratory analysis, and handling large datasets. Libraries such as Pandas, NumPy, and Matplotlib are used.
- Excel 📉: Initial data processing and organization before importing data into more advanced tools for analysis.
This project is ideal for gaining hands-on experience in business intelligence and data analysis. It focuses on solving real-world business problems around customer behavior, sales trends, and performance tracking. The skills demonstrated are applicable to roles such as:
- Data Analyst 📊
- Business Intelligence Analyst 📈
- Data Engineer 🛠️
the project provides actionable insights and fosters data-driven decision-making for businesses. 🚀