July 10, 2025 
2:00 PM CET Data quality is a high-stakes pursuit. With investment and rigor come great returns, without it, you’re likely to be burning cash. Data quality is a multi-faceted discipline that can seem daunting on the surface, but with basic fundamentals and proper planning, can be the driver of ultimate success for your data team and larger organization. In this session, dive into the fundamentals of data quality, including the significance of metadata, defining policies and standards, and the importance of quality controls to monitor and validate data. You’ll learn:
- The need for clear definitions and metadata in business and AI using the relatable "sandwich" debate
- How the quality of your data and metadata impacts the the output of everything from reports to AI models
- The distinction between data quality and data governance and why both are essential for achieving business and AI success
About George: George Firican is actively putting the lights on data. Recognized among the Top 5 Global Thought Leaders and Influencers in Big Data, Digital Disruption, and Innovation, and honored as a LinkedIn Top Voice, George blends deep expertise with a passion for making several data topics accessible and actionable.
Through award-winning programs in data governance, data quality, and business intelligence, George's innovative strategies have garnered international acclaim. He works closely with organizations to elevate their data as a true asset, sharing his insights across social media, industry publications, and conferences. As the founder of LightsOnData, and the voice behind its YouTube channel and podcast, George continues to inspire and educate a global audience, all while keeping the lights on data.
