The Art & Science of getting Data Quality on a Balance Sheet
Highly developed civilizations achieve remarkable outcomes through seemingly small contributions by individuals and collaboration. The same applies to organizations and data governance. This session draws parallels between the development of civilizations and operationalizing effective data governance and how both can be interconnected. We cover common pitfalls, how AI agents can add business value for and with the foundation of everything: data excellence, and how to convert data quality from a cost item into an asset on the balance sheet.
Target Audience: Head of data, data governance, data quality
Prerequisites: Understanding and first experiences with data governance/quality; no technical know-how necessary
Level: Advanced
Extended Abstract:
In the realm of highly developed civilizations, significant achievements are often the result of small, consistent contributions and collaborative efforts. This principle holds true for modern organizations striving for excellence in data governance. Join us for an insightful session that draws parallels between the evolution of civilizations and the operationalization of effective data governance.
Session Highlights: Civilization and Data Governance. Explore how the incremental progress and teamwork that built ancient civilizations can be mirrored in today's data management practices.
AI and Data Excellence: Discover how AI agents can enhance business value by leveraging data quality, transforming it from a mere cost into a strategic asset.
From Compliance to Competitive Advantage: Learn how integrating data quality into daily operations and utilizing cutting-edge technologies can shift data management from a compliance necessity to a driver of growth, innovation, and long-term success.
Sebastian Kaus is a data governance leader known for implementing transformative ways of working at Vattenfall, including a playful approach to data management. Sebastian shares practical insights through podcasts and industry conferences, demonstrating how methodical strategies and real-world experiences drive innovative data solutions. By emphasizing achievable milestones and user-centric processes, he empowers organizations to turn data governance into a strategic advantage.
Dr. Michael Spira is Managing Director at DQC. Previously, he was Principal and AI Ambassador at BCG. He holds a PhD in Empirical Financial Economics.
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