This project is a complete Manufacturing Analytics solution, developed using Excel, SQL, Tableau, and Power BI, designed to analyze production performance, quality issues, manpower utilization, and operational efficiency.
This end-to-end analytics project transforms raw manufacturing data into actionable insights. Using SQL for data extraction, Excel for data cleaning, Tableau for visualization exploration, and Power BI for the final interactive dashboard, the project provides a comprehensive view of:
Manufactured Quantity
Rejected Quantity
Wastage Percentage
Manpower involvement
Production trends by date, shift, and item
It helps manufacturing teams track performance, identify quality issues, and optimize operations.
✅ Interactive KPI Cards — Manufactured Qty, Rejected Qty, Wastage %, Employees, Operators.
✅ Wastage & Quality Insights — Identify rejection patterns and key quality problem areas.
✅ Production Trend Analysis — Daily/Monthly trend lines comparing production vs rejection.
✅ Shift & Item-Based Analysis — Understand performance by operational segments.
✅ Manpower Summary — Quick view of employee and operator distribution.
✅ Clean Industrial UI — Professionally aligned, easy-to-read manufacturing visuals.
📈 Manufacturing Trend (Manufactured vs Rejected Qty)
🧪 Wastage % Over Time
🏭 Shift-wise & Item-wise Production Analysis
📦 Rejection Insights
👷 Operator & Employee Summary Cards
🕒 Time-based Filtering and Slicers
Manufactured Quantity – Total units produced
Rejected Quantity – Defects or non-usable units
Wastage Percentage – (Rejected / Manufactured) * 100
Total Employees – Workforce involvement
Daily & Monthly Trends – Production behavior over time
Structure typically includes: Date • Shift • Item • Manufactured Qty • Rejected Qty • Employees • Operators
Tool Purpose
- SQL - Data extraction & basic transformation
- Excel - Cleaning, formatting & preprocessing
- Tableau - Exploratory visualizations
- Power BI - Final dashboard & insights
Clone or download this repository.
Open the .pbix Power BI file in Power BI Desktop.
Optional: Open the Excel file used for cleaning.
Optional: View Tableau exploratory workbook.
Explore the dashboard and interact with slicers.
This project is for portfolio and educational use.
Asharani M G 🔗 GitHub: https://github.com/ASHARANI-MG
📧 Email: ashaa12gowda@gmail.com
💼 LinkedIn: https://www.linkedin.com/in/asharani-m-g-a64569229/