The product uses IST's powerful fuzzy searching and matching intelligence to achieve unparalleled accuracy and speed while overcoming variations due to many common errors found in data. For example:
Acronyms: Corporate name searching concretely illustrates the pragmatic difficulties in developing solutions that find correct information without missing likely candidates. People readily understand the similarities between "Triple A Towing" and "AAA towing" yet computerized systems would need to employ a knowledge based algorithm to recognize the relationship between "Triple A" and "AAA". The MerlingMerge SpeedPro software with its corporate search algorithms and acronym recognition functions significantly advances the ability to seek and match corporate name data.
Spelling errors: Spelling and keyboard errors account for many of
the duplicates found in a database. Through the use of intelligent key building and advanced comparison routines, MerlinMerge SpeedPro successfully overcomes spelling errors including multiple typos, letter transpositions and incomplete words.
Phonetic Errors: Discrepancies caused by phonetic errors account
for 20 – 25% of all name variations. MerlinMerge SpeedPro addresses problems due to phonetics by employing analysis routines to determine the extent of phonetic tokenization. This enables MerlinMerge SpeedPro to overcome problems due to phonetics without the negative consequences incurred with all other methods of name searching.
Word Sequence Variations: Many search problems are caused by sequence variations. The inability to determine the order of words for a particular entity occurs at both data entry and inquiry levels. The name "Frank Lee", for example, could have been "Lee Frank". This problem is particularly pervasive in company names. MerlinMerge SpeedPro is able to overcome word sequence variations without sacrificing performance.
Missing, Extra and Noise Words: The rulebase system is used to identify noise words. Noise words are elements in a name that do not help in the identification of a candidate. Examples of noise words are: "incorporated", "Corporation", "Limited", " Senior", "Junior", "Avenue" and "Street". While processing the data, MerlinMerge SpeedPro also goes through a process called sanitization that removes noise characters (e.g. @,#,$,%,^,&, etc.), extra spaces, control characters and converts all characters into uppercase.
With MerlinMerge SpeedPro you can:
- Perform point and click field mapping
- Configure a variety of options for searching and comparison
- Check for the latest software updates
- Perform data management tasks with NO prior technical experience
- Create unique duplicate id number assignment for each duplicate set
- Generate duplicates and unique log files
- Merge / Remove the duplicates in the output
- Perform loose or tight matching with control over settings
- Produce a comparison threshold score that determines
the likelihood of a match - Match on multiple fields (e.g. Name and Address and produce
a combined score) - Save all settings to a configuration file for future use
- Process flat text files (delimited and fixed-width)
- Perform interacting records searching against any input file
- View results easily
If you are interested in the free trial, pricing, or have any questions about the software, please feel free to contact us at 1-800-287-0412 or email us at info@intelligentsearch.com for additional information.
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