|
Most of the matching solutions available in the market use just exact match between records. If we take a deep look into the database, there will be often slight variations that are missed by those processes.
eGrabber™ DupChecker uses proprietary fuzzy logic technology to flag duplicates caused due to the following variations. |
|
 |
Data Entry Errors |
|
|
|
|
| |
 |
 |
 |
 |
|
Spelling / Typing Errors
Formatting Errors
Pronounciation Errors
Transcription Errors |
 |
Ed Kachinske = Ed Kahinske
Sharon Randall = SharonRandall
Evan Wistar = Ewan Wystar |
|
 |
 |
 |
 |
|
|
| |
| |
|
 |
Formal / Informal |
|
|
|
|
| |
 |
 |
 |
 |
|
Common Nicknames
Company Names |
 |
Dr Robert Hicks = Bob Hicks
Citibank = Citi |
|
 |
 |
 |
 |
|
|
| |
| |
|
 |
Equivalent |
|
|
|
|
| |
 |
 |
 |
 |
|
Abbreviation
Common Endings
Initials |
 |
HP = Hewlett Packard Inc.
Inc. = Corp
Drive = Dr
Darriel Junior = D.J. |
|
 |
 |
 |
 |
|
|
| |
|
|
|
| |
|
 |
Importing Errors |
|
|
|
|
| |
|
|
| |
|
|
|
|