Functions for data cleansing.

You have the choice: interactive individual online validation or file cleansing on demand.

As an option, all data cleansing functions can be used for an individual online validation or file cleansing. The individual online validation is interactive. You analyze and correct a data record each time it is called, changed or supplemented.

You efficiently cleanse larger quantities of data in a file optimization. As an option, you can also integrate this service directly in your application (CRM, etc.) or use it in your Data Quality Center.

Deduplication (merge purge): identifying and removing duplicate records.

Anyone who is concerned with data cleansing in a CRM or a data warehouse project or with list management tasks in direct marketing is inevitably confronted with the issue of address duplicates and duplicate matching and merging. This does not just concern cost minimization in mailing campaigns. CRM and ERP can only be successful if unambiguous identification of the customer is guaranteed.

With Data Quality on Demand, you remove duplicates and prevent new ones. You match and merge your data quickly and simply. You select the level at which the links are created. In the case of company addresses, you can choose between "company" and "contact" as a reference level; you link private addresses according to "household" or "person".

Address check: verification, correction, standardization.

Incorrect or missing postal information is not usually detected until it is too late, i.e. when goods, correspondence or direct mail are returned as undeliverable, or when customers complain and are annoyed.

With Data Quality on Demand from Uniserv, you profit from the best automatic assignment rate possible through sophisticated algorithms. In this respect, country-specific rules and delivery procedures are taken in account, considering worldwide knowledge bases - for analysis, determination of similarities and phonetics.

Title code assignment: analysis, categorization, standardization.

An incorrect form of address annoys addressees and damages the image of the company. Incorrect or missing attributes also prevent the systematic exploitation of additional information, lead to incorrect analysis and incorrect assignment to target groups.

Data Quality on Demand analyzes name elements and supplies the title code and more. Each database can be broadly classified according to private individuals, company addresses with and without contact persons, male or female. The first name, last name, title and designations are also differentiated. The title code is determined on the basis of first names, titles and job titles.
This function is available as standard for German addresses. Please inform us if you wish to check other countries.

Bank data check: ensuring payment.

Incorrect bank details must be prevented at all costs. If a direct debit fails, an exceptional amount of additional work and expense arise which can put strain on business relationships.

Take advantage of the bank check with Data Quality on Demand. It checks whether the sort code, account number and name of the bank match. If required, the names of financial institutions are corrected or completed. Owing to error-tolerant search algorithms, the correct name is also found in the case of spelling variations or if spelling mistakes creep in. In addition to this, the account number is checked in line with the check digit procedure of the bank. Slips of the pen and transposed digits are reliably prevented.

The data is checked as it is entered. The bank data check is currently available for German addresses. Please inform us if you wish to check other countries. We can help.