Data Quality Solutions
Better Data Quality = Better Business Insights, Reduced Costs and Happier Customers
Data is the lifeblood of organizations, yet an alarming 94% of businesses believe they have inaccurate data. For over 38 years, Melissa has helped companies all over the world improve data quality to reduce costs and waste, grow revenue, and gain greater insights into their customers.
Our flexible and customizable end-to-end data quality solutions:
- Profile and monitor data to uncover places where bad data is entering your system and maintain data quality standards over time.
- Cleanse and standardize any data with machine learning and advanced rules customized to best serve your business.
- Verify and enrich global addresses, names, phone, emails, and IP addresses, plus append demographic and other information missing from your database.
- Match and consolidate duplicate records with intelligent parsing capabilities and deep domain knowledge to obtain one golden record for each customer for a complete 360-degree view.
Melissa Capabilities
Address Verification
Verify, correct and standardize U.S., Canadian and international addresses.
Address Autocomplete
Autocomplete addresses as they are entered to improve data entry speed and accuracy.
Identity Verification
Verify a customer’s identity for faster onboarding and fraud prevention.
Email Verification
Verify an email address in real-time or batch to improve deliverability.
Phone Verification
Verify mobile and landline phones in the U.S. and internationally to improve tele and SMS marketing.
Name Verification
Parse and genderize names and identify vulgar or fictitious names at point of entry.
Merge, Purge & Deduplication
Identify and eliminate duplicate records that cost money and prevent a single customer view.
Geocoding
Convert U.S. and international addresses to latitude and longitude coordinates for better mapping and analytics.
Change of Address/NCOALink
Get the current addresses of U.S. and Canadian customers to cut waste associated with undeliverable mail.
