Last week at the Data Governance Conference Europe in London, Marcin Chudeusz had the opportunity to engage with industry leaders and discuss how AI-driven data quality solutions are changing the landscape of data management. This year’s conference brought together some of the most influential players in the data governance world, and Marcin was proud to represent digna, sharing the stage with notable figures like Vojkan Rodak from ITSV, one of our valued customers.

Marcin’s session, alongside Vojkan, focused on moving beyond traditional data quality rules and embracing AI-powered automation for smarter, scalable data management. The event proved to be a fantastic platform to explore how digna’s AI-driven solutions are empowering companies like ITSV to enhance their data quality and governance practices.

OMV’s Insights on SAP-MDG: A Fascinating Experience

The conference kicked off with a highly informative session by OMV AG, a leading Austrian company, which shared their experience with SAP-MDG (Master Data Governance). The team at OMW discussed their challenges with traditional data governance tools and how they’ve successfully integrated SAP-MDG into their operations to improve their data management. Their session highlighted the complexity of managing enterprise-scale master data and the need for robust governance frameworks to ensure data consistency, compliance, and efficiency.

Marcin found OMW’s insights incredibly valuable as they provided a real-world example of how legacy systems like SAP-MDG are being used to meet contemporary data governance needs. The combination of traditional tools and emerging technologies like AI in the data governance space is proving to be a powerful model for organizations aiming to stay ahead of the curve.

ITSV’s Journey with digna: Breaking Free from Traditional Data Quality Rules

During Marcin’s session alongside Vojkan Rodak from ITSV, shared their transformative journey using digna’s AI-powered solutions. ITSV, a forward-thinking company focused on data-driven innovation, turned to digna to move beyond rigid and time-consuming traditional data quality rules.

Here are some key takeaways from Vojkan’s presentation:

The Limitation of Traditional Data Quality Rules

Vojkan spoke about the challenges of maintaining manually defined and static data quality rules in a dynamic data landscape. These rules were not only cumbersome but also failed to scale with the growing complexity of their data infrastructure.

How ITSV transformed with digna

Using digna’s AI-powered tools, ITSV automated its data quality checks, enabling real-time anomaly detection, dynamic threshold setting, and proactive monitoring. The company was able to improve data accuracy, reduce human error, and save valuable time.

The Future of Data Governance

Vojkan emphasized that the future of data governance lies in automation and artificial intelligence. By automating data quality monitoring, companies can ensure that data remains clean, reliable, and ready for analysis, without the need for constant manual intervention.

Marcin was inspired by ITSV’s success and shared the excitement about how digna’s AI-driven platform is helping companies scale their data operations without compromising quality. The session highlighted the tangible impact that modern AI technologies can have on data governance, offering a roadmap for other organizations looking to adopt similar strategies.

Key Insights from the Event

The discussions at the Data Governance Conference Europe reinforced several key themes that Marcin highlighted during his presentation:

• The Need for Scalable, Adaptive Solutions: With data volumes growing exponentially, organizations need solutions that can scale with their data needs. Traditional methods of maintaining data quality rules are not enough in this fast-paced world.

• Proactive Data Quality Management: By using AI to monitor and detect anomalies in real-time, companies can address issues before they become significant problems. This shift from reactive to proactive data management is crucial for modern enterprises.

• AI as a Game Changer for Data Governance: AI has the potential to revolutionize how organizations approach data governance. By automating key processes like anomaly detection, data validation, and quality checks, businesses can ensure better data accuracy, consistency, and reliability.

digna’s Role in Shaping the Future of Data Governance

The Data Governance Conference Europe served as a powerful reminder of the importance of embracing innovation to stay competitive in the evolving world of data management. At digna, we are proud to lead the charge in AI-powered data quality solutions, helping businesses move beyond the limitations of traditional methods and into a future of smarter, more efficient data governance.

As the session with ITSV clearly demonstrated, digna is not just providing a tool but enabling organizations to redefine how they approach data quality. We’re excited to continue supporting companies like ITSV in their journey towards automated, scalable, and reliable data governance.

A Thriving Data Community

Beyond the presentations, the event fostered rich discussions on data observability, automation, and governance strategies. Meeting with data leaders from across industries reaffirmed that AI-driven solutions like digna are not just an advantage but a necessity for maintaining high-quality data at scale.

A huge thank you to ITSV for sharing their success story, to the organizers of IRM UK, and to everyone who participated in these insightful discussions. We look forward to continuing these conversations and driving innovation in data quality!

Book a demo today and see how digna can help your organization achieve smarter data management, just like ITSV.