Melissa Data Quality Platforms
Melissa's Full Spectrum DQ Approach. Learn More
ETL/MDM PlatformsMelissa offers a host of solutions for full spectrum data quality to ensure the success of your data.
Melissa Data Quality
Verify, correct & cleanse contact data in 240+ countries.Melissa Identity Verification
Reduce fraud and comply with KYC/AML laws.Melissa E-Commerce / CRM
Apps and APIs for higher conversions, better data and more reliable shipping. See All Melissa IntegrationsMelissa Industries
Use our data quality solutions for a wide range of industries.Service Bureau
Melissa's consulting services are customized to your projects.SaaS
Clean and update your data in the cloud, no software required.
Our Data
Verify & enrich your records with multi-sourced, authoritative reference datasets.
Parsing and Fielding
Free-Form (Unfielded) Data
Free-form data is not organised in a predefined manner like structured data. This type of data is messy and cumbersome to analyse, since in addition to free-form text, in may contain dates and other numbers. RightFielder organises this data by extracting all the textual inputs and analysing it, recognising where one field ends and the next one begins.
Fielded Data
Just because there’s a name in one column and an address in another, doesn’t mean they automatically match up! RightFielder reorganises fielded data into new columns using either predefined layout and field names or custom field names.
What Data Types Does RightFielder Data Parsing Recognise?
- Up to 3 lines of street addresses
- City
- State
- Postal Code
- Country
- Personal names
- Company & department names
- Email address
- Web address
- Phone number
- Custom data types like SSN, IPs, dates, account numbers, & more!
