Monitoring
Good data quality means constantly ensuring what you’ve collected is up-to-date. Profiler allows regexes and error thresholds to be set for full-fledged monitoring, 24/7/365.
Melissa Data Quality Platforms
Melissa's Full Spectrum DQ Approach. Learn MoreETL/MDM PlatformsMelissa offers a host of solutions for full spectrum data quality to ensure the success of your data.
Melissa Identity Verification
Increase compliance, reduce fraud and improve onboarding. Visit the Melissa Identity SuiteMelissa E-Commerce / CRM
Improve customer onboarding, marketing & fulfillment.Melissa Enrich
Gain insight into who and where your customers are.Melissa Mailing
Qualify for postal discounts with USPS CASS & PAVE Certified solutions.Melissa Industries
See how Melissa's solutions work across industries.Data Hygiene
Keep your mailing list up-to-date, qualify for postal discounts & reduce UAA mail.Data Enhancement
Enrich your consumer or business records for greater insight & omni-channel marketing success.SaaS
Clean and update your data in the cloud, no software to maintain.
Our Data
Verify & enrich your records with multi-sourced, authoritative reference datasets.
Tackle Two Data Quality Predicaments
Data Profiler leverages sophisticated parsing technology and every available general profiling metric to (1) identify data quality issues and (2) monitor improvements over time.
Identification
Identify data quality issues for immediate attention and ensure conformity of source data to specified requirements of pre-set limits.
General Formatting
Data Profiler ensures your input is formatted to your exact specifications. Especially useful for names, emails, postal codes, addresses, and other contact data fields.
Content Analysis
Data Profiler utilizes reference data to determine if your input is consistent with expected data.
Field Analysis
Data Profiler can determine if the input data is consistently fielded using the data contained in the entire record to analyze the context of data.
