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📊 Sales & Operations MIS Dashboard

Excel | Google Sheets | MIS Reporting Project
Built by Smita Basu


🔗 Live Dashboard

👉 Click here to view the Live Interactive Dashboard

Open the link → Go to the Dashboard sheet tab to see charts and KPIs


📌 Project Overview

This is a complete Sales & Operations MIS Dashboard built in Google Sheets analyzing 200 rows of real-world style sales transaction data across multiple regions, employees, and product categories.

The project simulates a real MIS Analyst workflow — from raw data cleaning to building an interactive reporting dashboard.


📈 Key Business Metrics

Metric Value
💰 Total Revenue ₹30,490,230
📦 Total Units Sold 1,591
🎯 Achievement Rate 57.5%
🏆 Top Region Mumbai
📅 Data Period June 2025

🗂️ Dataset Information

📥 Raw Dataset (Original - 7 Columns)

Column Description
Date Transaction date
Region City (Mumbai, Delhi, Chennai, Kolkata, Bangalore)
Employee Sales rep name
Product Product category sold
Units Sold Number of units per transaction
Revenue Revenue generated (₹)
Target Sales target for that transaction

🧹 Data Cleaning & Transformation

🔧 Cleaning Steps Performed

Step Action Result
1 Checked for blank/empty cells ✅ No blank cells found
2 Checked for duplicate rows (Data → Remove Duplicates) ✅ No duplicates found
3 Verified date format consistency ✅ All dates in DD-Mon-YYYY format
4 Froze header row ✅ Headers always visible while scrolling
5 Adjusted row height & column width ✅ Clean readable layout
6 Applied Auto Filters on all columns ✅ Easy data filtering enabled
7 Styled header row ✅ Bold text, blue background

🔄 Data Transformation Steps

Step What was added Method
1 Status Column (new 8th column) =IF(F2>G2,"ACHIEVED","NOT ACHIEVED")
2 Conditional Formatting on Status Green = ACHIEVED, Red = NOT ACHIEVED
3 Employee → Region Lookup =XLOOKUP(L4,C:C,B:B,"NOT FOUND")
4 Product → Revenue Lookup =VLOOKUP(L9,D:F,3,FALSE)
5 Region → Total Revenue =SUMIF(B:B,L14,F:F)

📊 Before vs After

Raw Data After Transformation
Columns 7 8 (Status added)
Blank Cells 0 0
Duplicate Rows 0 0
Header Styling None Bold + Blue background
Filters None Auto filters on all columns
Status Tracking None ACHIEVED / NOT ACHIEVED
Lookup Tables None XLOOKUP, VLOOKUP, SUMIF

🖼️ Cleaned Dataset Preview

Cleaned Dataset


🛠️ Excel / Google Sheets Skills Used

Formulas

Formula Purpose
IF(F2>G2,"ACHIEVED","NOT ACHIEVED") Status column logic
VLOOKUP(L9,D:F,3,FALSE) Product revenue lookup
XLOOKUP(L4,C:C,B:B,"NOT FOUND") Employee region lookup
SUMIF(B:B,L14,F:F) Region-wise total revenue

Features Built

  • Conditional Formatting — Green (ACHIEVED) / Red (NOT ACHIEVED)
  • Pivot Tables — Region, Employee, Product, Status summaries
  • Charts — Region-wise bar chart, Employee analysis, Product revenue, Pie chart
  • KPI Cards — Total Revenue, Units Sold, Achievement Rate, Top Region
  • Data Filters — Auto filters on all columns

📊 Dashboard Preview

🔹 KPI Overview

KPI Overview

🔹 Raw Dataset

Raw Dataset Raw Dataset

🔹 Formulas in Action

IF XLOOKUP VLOOKUP SUMIF

🔹 Pivot Tables Summary

Pivot Tables

🔹 Charts Dashboard

Charts


📂 Repository Structure

📁 Sales-Operations-MIS-Dashboard │ ├── 📄 README.md ├── 📊 Sales_Operations_MIS_Dataset_200Rows.xlsx └── 📁 screenshots ├── kpi_overview.png ├── raw_dataset.png ├── formulas.png ├── pivot_tables.png └── charts_dashboard.png


💡 Key Insights from the Data

  • Mumbai generated the highest revenue — ₹6,584,169
  • Laptop was the top revenue-generating product — ₹7,314,068
  • Sneha sold the highest units — 321 units
  • 57.5% of all transactions met their sales target
  • Amit generated the highest total revenue among employees — ₹5,721,046

🚀 How to View This Project

  1. Click the Live Dashboard link at the top of this README
  2. Navigate to the Dashboard tab in Google Sheets
  3. Explore Pivot Table sheet for detailed breakdowns
  4. Download the .xlsx file to explore all sheets — Raw Data, Cleaned Data, Pivot Tables and Dashboard

👩‍💼 About the Author

Smita Basu
Aspiring Datat, Business & MIS Analyst
Skills: Excel | Google Sheets | MIS Reporting | Data Analysis | Pivot Tables | SQL(MYSQL) | Microsoft Power BI | Python | Data Visualization | Retail Analysis | Customer-intelligence Analysis

🔗 LinkedIn Profile


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Sales & Operations MIS Dashboard built in Excel/Google Sheets with pivot tables, VLOOKUP, XLOOKUP, IF, SUMIF formulas and charts & kpis

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