Data cleaning in NavLead is a crucial process that ensures the accuracy and reliability of the lead information you receive. Here’s how it works:

1. Automatic Cleansing: Every time data is extracted, NavLead automatically cleans the information to eliminate inconsistencies. This includes:
   • Removing Emojis: Any emojis present in first names, last names, or company names are removed to maintain a professional appearance.
   • Correcting Typos: The system uses algorithms to identify and correct common typographical errors, ensuring that names and company information are accurately represented.
   • Standardizing Capitalization: NavLead standardizes capitalization for names and company names, so they appear uniform across your dataset. For example, "john doe" will be transformed to "John Doe."
2. Continuous Improvement: The data cleaning process is continually updated to adapt to new patterns in data entry, ensuring that NavLead evolves with changing data quality standards.
3. User Control: Users have the option to review and edit any data as needed after extraction, allowing for additional customization and refinement.

By implementing these data cleaning measures, NavLead enhances the quality of leads, making it easier for users to engage with accurate and trustworthy information.