Create:

Monthly_Sales_Data_Consolidation.xlsx

Source Files

Create three datasets:

  • January_Sales
  • February_Sales
  • March_Sales

Example:

Order ID

Date

Customer

City

Product

Qty

Sales

J001

05-Jan-26

Amit

Sirsa

Laptop

2

120000

J002

08-Jan-26

Neha

Hisar

Mouse

10

5000

J003

15-Jan-26

Rahul

Sirsa

Monitor

3

102000

J004

21-Jan-26

Priya

Fatehabad

Keyboard

8

6400

Repeat similar data for February and March.

Project Tasks

Step 1 — Import

Import all three monthly datasets using Power Query.

Step 2 — Clean

  • Rename columns
  • Remove unnecessary columns
  • Change data types
  • Remove duplicates
  • Replace incorrect city names
  • Handle blank values

Step 3 — Transform

  • Split columns where required
  • Merge columns where required
  • Fill Down missing categories
  • Filter invalid records
  • Sort data

Step 4 — Combine

Use:

Append Queries

to combine:

January + February + March

Step 5 — Merge

Merge the combined sales query with a Product Master table.

Step 6 — Create Columns

Create:

Profit

Sales – Cost

and:

Sales Category

High / Normal / Low

Step 7 — Group By

Create:

City-wise Total Sales

and:

Product-wise Total Sales

Step 8 — Load

Load the final cleaned dataset into:

Clean_Sales_Data

Step 9 — Refresh Test

Add a new April record to the source and refresh the query.

Verify that the consolidated dataset updates.

FINAL PROJECT OUTPUT

Your workbook should contain:

  1. January_Sales
  2. February_Sales
  3. March_Sales
  4. Product_Master
  5. Q_January
  6. Q_February
  7. Q_March
  8. Q_Combined_Sales
  9. Q_Final_Clean_Data
  10. Sales_Summary

Final Summary

City

Total Sales

Total Orders

Sirsa

—

—

Hisar

—

—

Fatehabad

—

—