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Data Parsing

RightFielder®

Effortlessly Parse and Field Your Data with RightFielder


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RightFielder


Melissa’s Rightfielder powerful entity recognition algorithms 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.


  • Organize your data, no matter where it came from to ensure quality analytics across the enterprise
  • Move legacy data from old formats and reformat it for proper fielding to avoid time spent re-keying
  • Break up Big Data streams of long, complicated information strings to transform your unstructured data into a format that makes sense

Ways to Access RightFielder



Global Email Verification - On Premise API

On-Premise API

Multiplatform, multifaceted support for the following platforms: Java®, Visual C#®, Windows®, PHP, Oracle®, Linux®, Solaris®, HP UX®.

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Parse a string yourself.






How it Works


So you want to see data that makes sense? No problem!




Rightfielder organizes free-form data and standardizes it for a cleaner database.

Parsing and Fielding


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.

Melissa's Rightfielder can construct fielded data with precision, ensuring accurate, organized data.
RightFielder can organize fielded data so that all names can go under one column, all first-line addresses in the second, all cities in the third, and so on.

What Data Types Does RightFielder Recognize?



  • 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!

What Our Customers Say


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Free Trial & ROI Guarantee


Request a free trial by filling out the form.


  •   30-day free trial so you can test our tools in your environment.

  •   Free, unlimited technical support.

  •   120-Day ROI Guarantee!

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