Data Pivoting and Reshaping

Overview:

To ensure high-quality and reliable data for further processing, the CSC data must be cleaned and standardized. This process helps improve data accuracy, consistency, and usability.

Transformations:

1. Pivot Tables: Reshape data to create a table where each column represents a distinct time period (e.g., monthly ticket counts for each service type). Learn more about Pivot Tables
   

2. Flatten Nested Data: If the data is in nested structures (like JSON), flatten it into a table format for easier analysis. Learn more about Flatten Nested Data
   

3. Create Derived Columns: For example, create a column that combines customer status (new vs. returning) with ticket priority to gain more granular insights. Learn more about Create Derived Columns