Session 7-E

Holistic Data QA™: The scalable path to trusted, high-quality data

Join us for an immersive demo of Validatar, the revolutionary platform automating and streamlining QA for your data team.

Designed amidst the rise of advanced analytics and AI, Validatar tackles quality assurance challenges for your data with a holistic and outcomes-oriented approach. Our presentation will guide you through the four key pillars in Validatar’s vision for Holistic Data QA™: Full Lifecycle Comprehensive, Automated, Transparent Data QA.

Witness first-hand how the Validatar platform seamlessly connects to any data, regardless of its format or source, and how it enables seamless documentation of standards and expectations for data quality. Delve into the world of powerful, template-driven testing, allowing for easy scalability and meticulous comparisons across all your data. Observe real-time monitoring at work, enhancing governance and providing unparalleled visibility through our data catalog. Then, experience the ease of sharing standardized results, fostering transparency and collaboration across your organization.

Discover how Validatar can revolutionize your data QA processes, ensuring swift and accurate delivery of data projects.

Speaker

Matt agee

Vice President of Product Innovation, Validatar

Welcome to the CDOIQ Symposium, where innovation meets data excellence! Our symposium sponsors play a crucial role in shaping the future of data and information quality. As champions of cutting-edge technologies, thought leadership, and industry advancements, these forward-thinking organizations contribute to a dynamic ecosystem dedicated to harnessing the power of data for transformative business outcomes. Join us in recognizing and celebrating the invaluable support of our sponsors, who drive the conversation and inspire breakthroughs in the rapidly evolving landscape of Chief Data and Information Quality. Together, we pave the way for a data-driven future that propels organizations to unprecedented heights of success.