Data Cleansing and Normalization for High-Quality Contacts

The Process
At Salutary Data, we begin data cleansing by normalizing all incoming data to ensure a consistent format across various fields, including phone numbers, addresses, company names, and more. This normalization process is critical because it eliminates discrepancies that may arise from different data entry methods or sources.
In total, over 3 billion data fields are meticulously normalized during this step, enabling our database to maintain high standards of accuracy and usability.
We also apply our proprietary taxonomy to over 150 million records, categorizing the data based on job title, job function, industry, company size, and other relevant factors. This structured approach ensures that our data is organized and valuable for clients looking to extract specific insights.
The Result
This comprehensive data cleansing, normalization, and categorization process allows our customers to interact easily with our data. Whether they are searching through our extensive database via our API or web user interface, importing data into a CRM system, or selecting targeted data for lead generation, the structured and high-quality nature of our data enhances efficiency and effectiveness in their operations. This streamlined access to reliable and categorized information ultimately supports better decision-making and improved business outcomes.