Eine Deutschland AG der Daten: the time is now

In their thought-provoking guest article in the Frankfurter Allgemeine Zeitung, our CDQ colleagues Prof. Dr.-Ing. Boris Otto and Dr. Sebastian Muschter argue…

Turning compliance challenges into manageable workflows

The world of compliance is a fast-moving, complex landscape, and for many teams, staying ahead of regulations (e.g. AMLD5) feels like an endless game of catch…

Master Data Management meets AI: work smarter, not harder

Let's be honest, master data management (MDM) often feels like a Sisyphean task. Wrangling inconsistent data, battling data decay, and striving for a single…

How AI and MDM work together to drive business success

In today's fast-paced world, Artificial Intelligence (AI) is becoming a must-have for making smart decisions, automating tasks, and discovering hidden insights.…

Trust, automation, and the future of master data management

Master data management (MDM) is a vital, albeit often underappreciated, foundation of modern business operations. When done right, it ensures smooth processes,…

Managing data in the age of AI: F.A.Z. podcast

Well-managed data is the foundation upon which any successful AI strategy must be built. Many companies are aware of the value of data, but the challenge lies…

The value of automation in MDM: podcast CDQ & SAP

Automation isn’t just about efficiency - it’s about enabling growth and innovation. By automating repetitive, error-prone tasks, businesses can free up…

Navigating the compliance maze: why real-time monitoring is essential

In today’s interconnected business environment, regulatory compliance is no longer optional. It’s a core component of operational integrity. Organizations must…

Unlocking the power of Data Sharing: the CDQ approach

For nearly a decade, CDQ has been leading the way, pioneering a secure and collaborative approach to business partner data sharing. With our innovative Data…

Efficient mass-enrichment of business partner data in SAP MDG

Managing and enriching business partner data at scale is a monumental task for many organizations, particularly during mergers, acquisitions, or large-scale…

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