Right Fielder "re-fields" badly fielded lists: distinguishes names from companies, primary from secondary address, domestic from foreign, etc. Imports "print image" and "label format" files into true databases.

Changes unformated data into a database

Have you ever cleaned up this kind of nightmare?

Record 1 MORRIS REALTY PRESIDENT 55 GORDON RD YORK ON M2H 3N7

Record 2 AR DEPT ANN EVANS DREXEL DIV % SUE FELTY OSAGE INC CLARK PLAZA 1220 HWY 15 ERIE, PA

Some records have three fields of data, others as many as eight.

Some have two names or two companies or three address lines all in a jumble. What a mess!  Right Fielder converts this kind of unorganized chaos into accurately fielded data. It imports "print image" or "top justified" files like ASCII lists from a word processor, scanned lists, Admark tapes, etc., creating a true database. Then it analyzes each record and ...

     Moves names into name fields, companies into company fields, etc.
     Moves Primary Address into a consistent field for better Zip+4 encoding.
     Uniformizes City/St/Zip format.
     Identifies and marks foreign records.
     Enables merge/purge of different file structures.
     Can mark for missing fields and extract subsets; for example, records with no name.
     User-defineable key word tables.

So your data ends up looking like this:
 

Output Name: Name2: Title/Dept: Company: Company2: Address: Address2: City/St/Zip:

Record 1 PRESIDENT MORRIS REALTY 55 GORDON RD YORK, ON M2H 3N7

Record 2 ATTN: SALLY ANN EVANS % SUE FELTY AR DEPT DREXEL DIV OSAGE INC CLARK PLAZA 1220 HWY 15 ERIE, PA

 

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