Posts

Manage „End-of-Data” within Information Lifecycle Management (ILM)

In the past, a profound data management strategy focusing on reducing total cost of ownership (TCO) and controlling overall data volume used to be sufficient. But as tighter retention requirements and compliance rules are emerging, the focus must be shifted towards outweighing costs with legal compliance laws and risk mitigation. Data management must be complemented […]

Master Data Management (MDM) and big data analytics – challenges and pre-requisites

The integration of big data analytics and Master Data Management allows organizations to enhance decision making, become smarter and more productive. Capturing this potential for organizations begins with addressing key challenges and pre-requisites.

Artificial intelligence in master data management – it’s starting now!

Read how artificial intelligence will take over complex MDM tasks that used to be managed solely by humans.