Language Analysis Systems, makers of advanced multicultural name recognition software, announced availability of LAS NameParser, a new technology to help organizations parse ethnically diverse personal names from more than 200 countries into given names and surnames.

LAS NameParser solves two major business problems:

1. Inaccurate mapping of names to database fields results in lost business. Many names have more components than the number of fields allocated for them in a database. For example, Arabic and Hispanic names might have eight tokens, difficult to fit into the typical "first, last" or "surname, given name" models within databases today. LAS NameParser improves accuracy in mapping name components to database records.

2. "Foreign" names often stump data entry personnel, leading to errors and data loss during input. Many name types are unknown to the people entering them into databases. LAS NameParser provides support for parsing names from more than 200 countries. Companies can improve data quality, retain customer information, and treat multiple cultures sensitively by accurately parsing and storing the customer's name within their automated systems.

"If you have names, you need to parse them accurately if you ever expect to see them again," said Jack Hermansen, CEO of LAS. "It sounds straightforward, but most organizations have a real hard time with parsing and storing names from multiple cultures. For the first time, this technology is available at a reasonable price for every department-level application."

LAS NameParser uses expert knowledge from LAS's study of one billion personal names to automate the analysis and parsing of a personal name into surname and given name components. A variety of linguistic and statistical information is used to enhance precision and consistency. 

"Mistakes during name parsing are extremely common," Hermansen added. "These mistakes negate the investments made for applications such as customer relationship management, business intelligence, data hygiene, and de-duping, among others. All downstream applications are hurt by improper and inconsistent parsing. LAS NameParser can help organizations improve the results of all downstream applications."

For example, a database application encounters the name "Maria del Carmen Bustamante de la Fuente" within the company database. The application makes an automated call to LAS NameParser, in order to parse the information into given name, "Maria del Carmen," and surname, "Bustamante de la Fuente." By doing so, the application assures the information is stored consistently and accurately. More importantly, the customer's or prospect's name is treated sensitively and correctly. Here are several other examples:

Input Name Parsed Name (surname, given name)
Hisham Abu Ali Quereshi Noor Eldin --> Quereshi Noor Eldin, Hisham Abu Ali
Chang Wen Ying --> Chang, Wen Ying
Nadezhda Ivanovna Ovtsyuk --> Ovtsyuk, Nadezhda Ivanovna
William Martin Smith-Bagby Jr. --> Smith-Bagby Jr., William Martin
Kee Andries Van Der Merve --> Van Der Merve, Kee Andries

NameParser can be used to enhance results within the following applications:

·        Data Hygiene and Quality - Cleans current name data to enhance application performance across the enterprise.

·        Customer Relationship Management - Reduces recall errors by ensuring consistent name representation.

·        Data Integration and Warehousing - Reduces errors caused by integrating names from disparate databases.

·        Data Marketing - Prevents embarrassing and costly mistakes on mailings and provides for elimination of duplicate names by ensuring names are parsed consistently.

·        Security Applications - Provides for enhanced precision and reduced false positives for mission-critical law enforcement, screening, and intelligence applications.

LAS NameParser can be easily integrated into legacy systems or it can provide the basis for new applications. LAS NameParser accepts an input name in a variety of formats. It also provides customizable tables and filters to permit configuration for local requirements. 

Starting at just $10,000, LAS NameParser is priced to make it affordable for any organization looking to improve data quality. LAS also offers the technology to resellers and as an OEM component through its channel programs.

LAS NameParser runs on Microsoft Windows, Solaris and Linux operating systems. A SOAP interface connects to the LAS NameParser server for fast prototyping and loosely, coupled integration. Java and C++ API versions are also available for easy, tightly coupled integration with most development environments.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access