Dive into an engaging demo of Validatar, the platform revolutionizing data QA for modern data leaders. Amid the surge of AI and advanced analytics, Validatar is designed for a full lifecycle, holistic approach to QA. Experience how Validatar seamlessly connects, documents, tests, and monitors all data, irrespective of location or format. Witness the power of automation in scaling QA efforts and the role of transparency in building trust among stakeholders. This demonstration underscores how a comprehensive, automated, and transparent data QA platform empowers data leaders to deliver highly trusted and reliable data now while strengthening data assets for a future with AI.

In this demo:

• Holistic Data QA Future Proofs Data
• Eliminate barriers with Seamless Data Connections
• Template Testing Approach for Scalable QA
• Metadata-drive Testing
• Building Trust in Data through Transparency

Speaker: Jonathan Agee

Jonathan Agee is an accomplished data and analytics leader with a passion for data-driven innovation. Jonathan's expertise lies in seeing the big picture and understanding how diverse technologies work together to make a cohesive solution. Prior to founding Validatar, a pioneering platform for Data Quality Assurance, he led numerous data teams and projects, developing a deep understanding of data management complexities and solutions. Jonathan is passionate about automation and gets excited every time there is an opportunity for data to unlock innovative business models and generate unprecedented value. Born and raised in Oaxaca, Mexico, Jonathan now resides in Dallas, TX with his lovely wife and family. His passions extend beyond the tech world, finding joy in RC planes, nurturing his pandemic garden, and relishing tacos al pastor.