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RightFielder

Move Jumbled, Disorganized Contact Data into its Proper Fields

A clean, organized database saves money and improves marketing response rates. RightFielder gives you the control and flexibility to transform arbitrary/free form text data into correctly fielded customer information without delays or having to re-key legacy data.

Benefits

  • Standardizes your database to help you better understand your customers
  • Free yourself from re-keying legacy data

Features:

  • Extracts contact information from freeform, textual data
  • Recognizes up to three lines of street addresses
  • Supports Regular Expressions
  • Easily configured to recognize a custom data type
  • Free unlimited technical support

RightFielder Object is a programming API utilizing powerful entity recognition and identification algorithms to extract contact information from free form or un-fielded textual data. The parsing logic analyzes the input data, recognizes where fields begin and end, and assigns the contents to the correct output property using your predetermined layout and field names.

2 Parsing Engines to Identify, Extract, and Organize Data

  1. Free Form Contact Parsing: RightFielder Object utilizes powerful entity recognition and identification algorithms to extract contact information from free form or un fielded textual data. The parsing logic analyzes the input data, recognizes where fields begin and end, and assigns the contents to the correct output property using your predefined layout and field names.

    RightFielder Object - Standardize, Parse and Field Data

    Data Types Recognized

    RightFielder recognizes up to three lines of street addresses, city, state, postal code and country. RightFielder recognizes and extracts multiple instances of these data types: personal names; company and department names; email and Web addresses; and phone numbers.

    RightFielder also provides the flexibility to define and re-field custom data types like social security numbers (SSN), IP addresses, dates, and proprietary account number formats.

  2. Fielded Contact Parsing: This parsing logic is used when the input data is consistently delimited into fields, but the contents of those fields are unknown. RightFielder Object reorganizes the data into new columns each with a single data type.

RightFielder gives you the control, power, and flexibility to transform messy text data into correctly-fielded information that can be used with database programs. No typing, no hassels, no delays.

RightFielder examines each field in a record to distinguish between name fields, titles, departments, companies, street addresses, cities, states, ZIP codes, and phone numbers. It then “right fields” the data – moving each line into the correct field using your predefined layout and field names.

Standardize, Parse, and Field Data

RightFielder’s parsing logic can reorganize the contents of fields into new columns, each with a single data type.

Identify and Organize Raw Data Sample

System Requirements

Microsoft® Windows XP® or newer; 2 gigabytes or better; also available as an API

Parse and standardize inconsistent Data with Rightfielder. Get Free Trial Now Upload a sample of your data for a free analysis
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Melissa Data
The leading international provider of data quality and address verification software. Melissa Data's affordable, easy-to-use solutions for data cleaning and deduplication can be used separately or together to provide full global data quality. Melissa Data specializes in Microsoft .NET and SQL Server Integration Services, IBM, Java and Oracle environments with APIs, Web services and enterprise plugins that empower batch and real-time applications. Melissa Data's flagship Contact Zone enables data stewards to quickly create complex data quality and data integration routines with visual programming. Melissa Data also provides a full line of direct marketing solutions including mailing software, list hygiene and data append services, and a comprehensive line of mailing lists and sales leads.