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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 organized in a predefined manner like structured data. This type of data is messy and cumbersome to analyze, since in addition to free-form text, in may contain dates and other numbers. RightFielder organizes this data by extracting all the textual inputs and analyzing it, recognizing 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 reorganizes fielded data into new columns using either predefined layout and field names or custom field names.
What Data Types Does RightFielder Data Parsing Recognize?
Up to 3 lines of street addresses | Country | Web address |
City | Personal names | Phone number |
State | Company & department names | Custom data types like SSN, IPs, dates, account numbers and more! |
Postal Code | Email address |
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