Melissa Identity Verification
Increase compliance, reduce fraud and improve onboarding. Visit the Melissa Identity SuiteMelissa E-Commerce / CRM
Apps and APIs for higher conversions, better data and more reliable shipping. See All Melissa IntegrationsMelissa Enrich
Gain insight into who and where your customers are.Melissa Mailing
Qualify for postal discounts with USPS CASS & PAVE Certified solutions.Integrations
Melissa makes it easy for you to cleanse and standardize your data. See All Melissa IntegrationsMelissa 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.Verify & enrich your records with multi-sourced, authoritative reference datasets.
Melissa RightFielder is a data parsing solution that leverages powerful entity recognition and algorithms to extract, parse, and standardize all your data streams - free-form textual data (unfielded) and fielded data. It also “right fields” each element – first name, middle name, last name, street address, city, state, ZIP, phone, email address, department, company, etc.
It’s like cleaning a dirty room with the wave of a magic wand — suddenly, everything is in its proper place.
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.
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