Turn unfielded or inconsistent data into an organized database

RightFielder Object will standardize inconsistently entered data, run-on lines of text containing multiple data types, or data with no structure at all. The multiplatform data management tool can be invaluable in handling legacy data, data migration; and integration efforts.

2 Parsing Engines to Identify, Extract, and Organize Data

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

RightFielder Object - Standardize inconsistent text data into manageable fields and organize databases.

FreeForm Parsing: RightFielder’s powerful entity recognition and identification algorithms allow extraction of contact information from free form or unfielded textual data. The parsing logic analyzes the input data, recognizes where fields begin and end, and assigns the contents to the correct output property.

RightFielder Object - Easily convert text data into manageable fields | Melissa 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.

Technical Information
• RightFielder Object is a 64 Bit multiplatform developer’s library available for Windows 2003/2008/7/Vista, Linux Red Hat 8.0 (gcc 3.3), Solaris 8,9,10, SPARC platform, AIX 5.2, 5.3, POWER, rs/6000, PPC, and HPUX versions 11.11, 11.23, PA-RISC,
and Itanium.

• For a listing of technical support included with your purchase, click here.

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