Skip to main content

CDQ Blog

Our monthly blog updates full of inspiration, webinars, articles, ebooks, best practices, trends and news.

One team, one beat, one success: CDQ’s summer event 2026

One team. One beat. One success. This summer, the CDQ team traded data dashboards for the streets of Krakow to strengthen the human connections that drive our…

Why data cleansing fails without the right preparation

Data cleansing is often treated as a one-time project, but its success depends primarily on preparation. Without addressing data fragmentation, inconsistencies,…

Why the CDQ Data Sharing Community matters: insights from the Cologne workshop

The Cologne workshop highlighted the real strength of the CDQ Data Sharing Community: progress happens faster when companies work together. Through open…

Why AI Fails Without Trusted Data

Artificial Intelligence (AI) is transforming how companies manage business partner data. AI agents validate records, enrich profiles, detect anomalies, and propose updates at a speed and scale that manual processes cannot match. The promise is real: faster onboarding, fewer errors, lower cost.

The Power of "Data Sharing" in a Fragile Global Supply Chain

Global supply chains are increasingly unstable, making fast access to accurate, up-to-date business partner data essential for maintaining continuity and reducing risk. Traditional “data ownership” models create silos, duplication, and slow response times, limiting organizations’ ability to adapt quickly. By combining strong internal data management with collaborative data sharing, companies can access pre-validated, continuously updated data, reduce inefficiencies, and move from reactive fixes to proactive governance. In a VUCA world, competitive advantage no longer comes from owning data, but from how quickly and effectively organizations can act on shared, trusted information.

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…