Customer data needs a standardized profile!

Professional direct or database marketing and Customer Relationship Management presuppose data preparation and data maintenance with a standardized structure. The consolidation of identical field contents and address elements is particularly important.
When you look more closely at stored address data, you will normally discover unclear structures and formatting of the address elements. Problems arise in the addressing system and personal address as a consequence.
We can show you a typical example of how addressing and salutation should not appear and how you can optimally process your address data with convert: Show Example

Experience has shown that the requirement for a standardized address structure always arises when data files administered in parallel are to be transferred to a database (example: database marketing, CRM, data warehouse) or when third-party lists from different sources are used in direct marketing.

Here and there, it repeatedly becomes apparent that it is of critical importance to know the exact position of the address elements in each address. This is the only way you can correctly personalize and address your mailing campaigns and successfully implement interactive dialogue concepts with your customers.
convert refers to a series of Uniserv solutions which use specific functions aimed at name and address components:

In addition to this, the script functionality in the DQ Batch Suite offers you the possibility of executing completely individual parsing, conversion and formatting.

On our demo server, you can gain a impression live of how powerful our expert systems for address analysis & address formatting really are.

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