Introduction to IBM InfoSphere QualityStage Address Verification Interface

High-quality address data is a critical part of doing business. Organizations that do business in multiple countries or regions must maintain the quality of address data across different postal standards and languages. IBM® InfoSphere® QualityStage® Address Verification Interface includes a stage that provides processes that can organize, verify, and transform address data.

After you install and configure the product, an Address Verification stage is available to use in IBM InfoSphere DataStage® and QualityStage Designer. Use the Address Verification stage to process address data in one of the following ways:
Identifies address elements. You parse address data in preparation to standardize the format of the address.
Checks each address element for accuracy against postal validation reference files and then changes, improves, or completes each address element, if necessary and possible. You validate address data to ensure that each address conforms to postal standards and to assess the deliverability of each address.


Transliteration is available with both the validation and parse processes. Transliteration is the process of representing text from one script in another script. Transliteration is not translation. You use transliteration to take records that are in multiple scripts and represent the records in a common script. You can then work on the records as one group. An example of transliteration is converting addresses in Hebrew or Chinese script to Latin script. Another example is shown in the following table.
Table 1. An example of transliteration shown with Chinese and Latin scripts
Representation Example
Chinese script The word street in Simplified Chinese.
Translation in Latin script Street
Transliteration in Latin script Jie

Transliterated address data is useful because it can produce addresses in a native script or produce a common representation of different scripts. A common representation enables a wider audience to understand, work with, and standardize data.