Below you find news, events, press releases, specialist reports, white paper, best practices and many more all about customer data management.
Today, artificial intelligence (AI) and machine learning (ML) are not just topics discussed in professional IT circles. German companies run the risk of losing their position in the field.
The future for AI has begun. Also for publishers. What is happening right now and which industries are already in AI?
Everybody involved with data cleansing in a CRM or data warehouse project, or who has dealt with the tasks of list management in direct marketing, knows the problem: consolidating address data without...
The challenge of digital transformation and what it means to energy supply companies.
For sustainable data quality in the closed loop Data Analysis, Data Cleansing, Data Protection, and Data Monitoring is needed.
Stop the gradual ageing of customer data - with professional data quality management
Prices of relocation hits by Deutsche Post Address are rising - Act now and save money!
One of the most important data quality functions consists in the identification of data records which refer to the same business object, e.g. the same business partner or the same product. This...
It is an open secret that Master Data Management and Data Governance are both initiatives being successful only as a package. Data Management without Data Governance is a very high risk for money...
A smart way to measure the quality of data on the basis of individual rules in the context of business processes is the Data Quality Scorecard from Uniserv.