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.
Remove Duplicates: Identify and eliminate duplicate records based on unique identifiers (e.g., Customer ID, Ticket ID). Learn more about Removing Duplicates
Null Value Handling: Replace null or missing values with predefined defaults or impute values based on averages (e.g., for customer ratings or service timestamps). Learn more about Null Value Handling
Data Type Conversion: Ensure fields like dates, amounts, or customer ratings are in the correct format (e.g., converting text-based dates to a DATE format). Learn more about Data Type Conversion
Remove Invalid Data: Filter out records with invalid or inconsistent data (e.g., negative ticket costs, invalid phone numbers). Learn more about Removing Invalid Data