Articles by Oliver Reh

Amsterdam Data Summit
AI MDM

From Ideas to Everyday Practice: Reflections from a Data Management Conference in Amsterdam

Key takeaways from a data management conference in Amsterdam on how organizations turn master data governance into practical, scalable execution. Insights on…

E-invoicing EU Interoperability
Data Quality

The e-invoicing reality: the gateway is ready, but is your data?

Over the past decade, the EU has steadily shifted from encouraging electronic invoices to mandating them. And while the technology obviously plays an important…

Puma_HQ (Photo Credits: Christoph Maderer)
Data Quality

Smart, safe, and always a step ahead: the PUMA way to data governance

Known for their energy both on and off the field, PUMA's approach to data governance mirrors the company's drive: pragmatic, focused, and agile. Just like their…

On the way to SAP S/4HANA: migration scenarios supported by Data Quality

Transitioning to SAP S/4HANA is a significant step for any organization looking to modernize its enterprise resource planning (ERP) system. Let's explore three typical transition scenarios for SAP S/4HANA and how CDQ can help in each of them by ensuring data quality for critical business partner master data.

Better data - unchanged process: Data Quality made easy

It is common sense: Data quality is a key factor for the success of any business that relies on efficient processes, data-driven decision making, analytics, or artificial intelligence. Poor data quality can lead to inaccurate insights, lost opportunities, wasted resources, and customer dissatisfaction. According to a study by IBM, bad data costs the US economy $3.1 trillion per year. 
Data Sharing Community in Frankfurt
Community Data Sharing

Power of community: become a data hero too!

Twice a year the CDQ Data Sharing Community gathers for a 2-day onsite workshop to discuss all things master data in quite a unique format. During the event,…