OLAP Operations are techniques used to analyze data in a multidimensional cube.
They help users:

• Explore data quickly
• Find trends and patterns
• Make better business decisions

 Types of OLAP Operations

 1. Slice

 Concept

• Select one value from one dimension
• Creates a smaller cube

 Real-Life Example

A store manager wants:
“Show all sales only for March 2024”

 Result:

• Data for all products & locations
• But only for March 2024

 2. Dice

 Concept

• Select multiple values from multiple dimensions
• Creates a sub-cube

 Real-Life Example

Manager asks:
“Sales of Laptops & Mobiles in Mumbai & Delhi during Q1”

 Result:

• Selected products
• Selected cities
• Selected time period

 3. Drill-Down

 Concept

• Go from summary → detailed data

 Real-Life Example

CEO sees:
 Yearly sales

Then wants deeper insight:
 Year → Quarter → Month → Day

 Helps in:

• Finding exact problem or trend

 4. Roll-Up (Consolidation)

 Concept

• Go from detailed → summarized data

 Real-Life Example

Company wants:
 City sales → State → Country

 Helps in:

• Getting overall performance

 5. Pivot (Rotate)

 Concept

• Change the view of data (rotate axes)

 Real-Life Example

In dashboard/Excel:

Before:

• Rows → Product
• Columns → Time

After Pivot:

• Rows → Time
• Columns → Product

 Makes reports easier to understand

 6. Ranking / Top-N

 Concept

• Find top or bottom performers

 Real-Life Example

Sales head asks:
“Top 3 selling products in March”

 Helps in:

• Identifying best/worst products

 7. Drill-Across

 Concept

• Combine data from multiple fact tables

 Real-Life Example

Business wants:
 Compare:

• Sales data
• Inventory data

 “Are we running out of stock?”

 Summary Table (Exam Ready)