UNISERV GmbH

The pan-European orientation offers a multitude of country versions. The country rollout is steadily continuing. It is self-evident that country-specific particularities are considered.

Depending on the application environment and the country to be processed, there are different product variants featuring different function blocks.

Function Block Analysis & Formatting Name Lines

convert makes a context-sensitive analysis of the name line. For private persons, it breaks down the name line into its components (surname, first name, title, surname prefixes, surname suffixes), determines the salutation key and thus furnishes the basis for a uniform structuring and storage in the database and for the personal salutation.

convert recognizes the addresses of companies or institutions and can furnish the company legal structure as an isolated element.

convert breaks down lines that contain information about more than one person into individual persons.

Input: DR JOHN OR EVE SMITH OR FRANK JOHNSON 1st Floor
Output: Person 1→ Dr. John Smith (male)
                            2→ Eve Smith (female)
                            3→ Frank Johnson (male)
                            Note: → 1st Floor

convert can also recognize certain patterns that do not belong to the name information in the name line (customer number, notes for processing, etc.) and remove them or put them in special memo fields.

With convert you can choose between all uppercase lettering and a combination of upper/lower case.

Examples: JOHN VON YORK becomes  → John von York.
                     Thereby a context-sensitive conversion is made by the system:
                     EV. KIRCHENGEMEINDE becomes → Ev. Kirchengemeinde
                     SPORTVEREIN HURRA EV. becomes → Sportverein Hurra eV.

convert can convert entries written all in capitals without special national characters into a combination uppercase-lowercase spelling including accents and umlauts. In doing so, the program takes into account the particular incidence and adds the special national characters only when their correctness is highly probable.

Examples: HANS MUELLER becomes → Hans Müller
but FRANZ BEUERLE becomes → Franz Beuerle and not Franz Beürle.

Function Block Analysis & Formatting Addressing Lines

convert makes a context-sensitive analysis of the address lines and breaks these down into their constituents (apartment, street, house number, city, city district, postal code), thus furnishing the basis for a uniform structuring for the postal address check and for storage in the database.

The analysis & formatting of the address lines can be done while integrating this at the same time with the postal address check. Processing takes place iteratively and thus yields qualitatively excellent results, even for only crudely structured and incorrect postal addresses.

With convert you can alternatively convert the address lines into combination upper/lower case spelling and also insert special national characters (umlauts, accents).

Example: MUENCHEN automatically becomes → München

Function Block Batch-Specific Conversion and Formatting

With it, the conversion of different record layouts into a uniform layout is possible.

Different data types can be converted into uniform types.

Files that were created with different codesets (e.g. differing ASCII or EBCDIC codes) can be converted into a uniform codeset.

Different data keys can be transferred to a uniform key system.

Performance

convert‘s performance enables short response times, even for large volumes of addresses, and it can carry out extensive processing in batch in an acceptable period of time. Of course, the particular performance depends on the hardware used and the particular task and the data quality of the input data.

Here are some examples from actual practice:

Interactive utilization on a rather small INTEL server with approximately 100 active maintenance users:
average response times < 0.2 seconds.

In batch applications the output scale ranges from approximately 100,000 to 200,000 addresses per hour on a rather small INTEL server up to complex tasks of up to 10 million addresses per hour on a large UNIX system. Both amounts apply to the analysis, formatting and the uppercase/lowercase conversion of the name line of single consumer addresses.

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