It is the third component of the DQ Toolkit. It provides a flexible matching engine for the comparison of two inputs, deriving a percentage accuracy score of the match.

It standardises data to a consistent notation. Data inputs by type (business, name or address) are transformed using a comprehensive set of over 10,000 commonly used abbreviation, elaboration and exclusion rules. You may also modify the case, determine gender, or identify the fields that contain business names, forenames, email addresses and web sites by identifying pattern matches within your data.

Examples are illustrated below:

The process is carried out in three stages:

Step 1- Using intelligent data transformations, data is normalised and cleansed. For example:

"Rob", "Bob", "Bobby" and "Robert" might transform to "Bob"

"Rd" & "Road" might be excluded, and

"Ltd" might be elaborated to become "Limited". 

Step 2 - Using phonetic algorithms, the transformed data from step 1 is phonetically processed so words that sound alike are matched. For example, "Leigh Rd" and "Lee Road" or Xerox and Zerocks are phonetically alike so they could be candidates for deduplication.

PAF is quite separate from the DQ Toolkit as it processes and structures addresses from a pre-defined and fixed structure: the PAF file supplied by the Royal Mail. The DQ Toolkit  is, however, a perfect companion for any PAF product as we enhance the value of PAF by managing names and addresses, offering up possible matches where operator input error may have occurred.

Please discuss with DQ Global your specific address correction and verification needs as we provide solutions for business and consumer data in over 230 countries.

Yes, you can return matching records for retrieval and viewing just as easily as you can for de-duplication. Essentially the DQ Toolkit allows you to match things that sound the same by normalising the data, phonetically processing it and then matching it.

The DQ Toolkit is licensed in two parts:

Developer Licence(s)

A developer licence locked to the developer's PC allows the construction of an application with the DQ Toolkit embedded for deployment.

Client Licence(s)

These are application specific, and are charged based upon the number of users.

We have made every effort to make integration as simple as possible, developing our component library with this in mind. We provide a comprehensive context-sensitive help file, which includes extensive code examples in C++, Visual Basic and Delphi development environments.

We currently support English-speaking data sets for the UK, USA and Australia. Please contact us for latest country-related data sets as we are adding them constantly.

We currently support English, French, German, Italian and Spanish phonetic rules.

The DQ Toolkit should be used within any application that captures or contains names and addresses. These include:

• Sales & marketing database applications
• Call/contact centre applications
• Sales Force Automation (SFA) applications
• Customer Relationship Management (CRM) applications
• Enterprise Relationship Management (ERM) applications
• Support & helpdesk applications
• Data warehouses & data marts
• Web-based name & address or lead capture applications

You undertake a prevention rather than cure approach, ensuring that the data quality and structure of your data is correct at source, thus avoiding costly bureau processing.

Benefits include:  

• Duplicate entry checking
• Non-exact (fuzzy) record searching and retrieval  
• Consistent data quality and format

To attract, win and retain more business, you must demonstrate you care about your clients. And fundamental to this relationship is accurate, correctly-formatted and duplicate-free data.

It’s a business software component that ensures the quality and structure of your data is maintained and duplicate entry is a thing of the past. DQ Toolkit allows name and address-related data to be standardised and phonetically processed, so that records may be matched where traditional computer matching techniques would fail.