Unlocking the Power of Data: Semantic Standards & Scalable Data Quality
DAMA-MN invites you on March 19th to an insightful and engaging session featuring two (2) distinguished speakers who are at the forefront of semantic data management and scalable data quality. If you’re passionate about data governance, data quality, and knowledge representation, this is a session you won’t want to miss!
Mike Atkins, a renowned expert in data management and semantic technology from Semantic Arts Inc, will take us on a journey through the evolution of data management, sharing hard-earned insights, common pitfalls, and the growing necessity of semantic standards and graph technology. With increasing complexity in data landscapes, organizations must rethink how they structure and govern data for long-term success.
Topic: The Business Case for Managing Meaning
With experience as the founder of the Enterprise Data Management Council and co-founder of the Enterprise Knowledge Graph Foundation, Mike brings invaluable insights into how organizations can simplify, harmonize, and optimize their data landscapes.
He'll provide valuable insights to enable you to:
✅ Learn why traditional data models are falling short
✅ Understand how semantic technology is revolutionizing data management
✅ Discover practical strategies to simplify and harmonize data across your enterprise
Don't miss this opportunity to gain cutting-edge insights from a leader who has spent decades defining the future of data strategy.
Piotr Czarnas, founded DQOps and is a visionary in data quality automation. He will present a real-world case study on how Procter & Gamble scaled a data quality team from scratch to 50+ data stewards over five years.
Topic: A Journey of Scaling a Data Quality Team
He’ll uncover practical strategies for:
✅ Establishing a common data quality process
✅ Designing reusable data quality checks
✅ Running agile projects to improve data quality across domains
With 25+ years of experience, two founded startups, and teams of up to 120 engineers, Piotr will provide a blueprint for successfully managing data quality in today’s complex data environments.
Don’t miss this opportunity to look ahead in the ever-evolving data landscape!
Date: March 19, 2025
Location: Link provided upon registration
Time: 9:15-11:30AM CST
Reserve your spot today!
Register Here