Data normalization involves several steps to ensure your data is clean and standardized:
Data Cleaning: Remove duplicates, correct errors, and fill in missing information to ensure data accuracy. Standardization: Ensure that data fields (e.g., names, email addresses) adhere to a consistent format. For example, standardize name fields to use proper capitalization. De-duplication: Identify and merge duplicate entries to maintain a single, unique record for each contact. Validation: Regularly validate email addresses to ensure that they are active and correctly formatted.