Keywords: address quality, data quality, addresses, address database, CRM, duplicates, postal address check, address correction, software.
To maintain data quality in the address databases of your CRM-, marketing- and ERP-systems every access to address and every address change is to be monitored – generally the following:
As q.address monitors and checks each data change for accuracy, occurrence of new errors in the system is prevented (Data Quality Firewall).
The following and other functions will be available for you if you integrate q.address in your applications, i.e. in your CRM-, marketing- and ERP-systems:
Thus new errors can be identified at the root and stand no chance.
At this point we would like to highlight the error-tolerant address search. Everyone who has worked with addresses knows how difficult it can be to retrieve address in the database. q.address searches error-tolerant and very fast. Error-tolerant search should be accessible at every workstation to streamline (not only) day-to-day operations Info…
There are many ways to use q.address:
Easily installable, ready-to-use add-ons for following products
Internet-based business models rely on correct customer addresses. But some customers leave behind faked addresses, in particular in case of charged online offers. The q.address Junk Filter identifies typical samples of junk addresses and filters them out. Duplicates are identified alongside and errors are corrected in address and salutatory address.
An individual API exists for identifying junk-addresses:
It is recommended for the addresses to undergo a basic data cleansing before the installation of q.address (basic cleansing). more…
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