📊 Project Overview
This project focuses on transforming raw ERP data into meaningful business insights through a complete data analytics workflow.
The project covers data profiling, data cleaning, ETL, SQL database development, business analysis, and Power BI dashboard development. The goal is to prepare unclean business data, analyze it using SQL, and present key findings through an interactive executive dashboard.
🎯 Objectives
- Analyze and understand raw ERP data
- Identify and resolve data quality issues
- Clean and transform data for analysis
- Build a structured SQL database
- Design an Entity-Relationship Diagram (ERD)
- Perform business analysis using SQL queries
- Develop an interactive Power BI dashboard
- Generate meaningful business insights from the data
🛠️ Tools & Technologies
- Power Query – Data cleaning and transformation
- SQL / SQL Server – Database development and analysis
- Power BI – Data modeling, visualization, and dashboard development
- DAX – Calculations and analytical measures
- CSV – Source and cleaned datasets
- ER Diagram – Database relationship modeling
🔄 Project Workflow
Raw ERP Data ↓ Data Profiling ↓ Data Cleaning & Transformation ↓ ETL Process ↓ SQL Database Development ↓ ER Diagram ↓ SQL Business Analysis ↓ Power BI Data Modeling ↓ Interactive Dashboard ↓ Business Insights
📁 Project Components
Data Preparation
The raw ERP dataset was profiled, cleaned, and transformed to improve data quality and prepare it for analysis.
ETL
An ETL workflow was used to extract, transform, and prepare the data for structured analysis.
SQL Database
A relational database structure was developed to organize the ERP data and establish relationships between relevant entities.
ER Diagram
An Entity-Relationship Diagram was created to visually represent the database structure and relationships.
SQL Analysis
Business-focused SQL queries were developed to analyze the data and answer relevant analytical questions.
Power BI Dashboard
An interactive Power BI dashboard was developed to visualize important KPIs, trends, and business performance indicators.
Business Insights
The analysis was used to identify important patterns and generate insights that can support data-driven business decisions.
📈 Skills Demonstrated
- Data Profiling
- Data Cleaning
- ETL
- Power Query
- SQL
- SQL Server
- Database Design
- ER Modeling
- DAX
- Power BI
- Data Visualization
- Business Analysis
- Business Intelligence
- Dashboard Development
📌 Project Outcome
The project demonstrates the complete process of converting raw ERP data into a structured analytical solution, from data preparation and database development to SQL analysis and interactive Power BI reporting.