About the Product Demo
DATAVERSITY Demo Day is a curated virtual showcase designed to help data professionals efficiently explore tools and solutions that support modern data management practices.
In response to growing demand from our community, we created a vendor-driven experience that brings you direct access to live product demonstrations, use cases, and Q&A sessions, all from solution providers shaping the future of data governance, quality, architecture, and AI.
Whether you’re researching new technologies, comparing options, or staying informed on what’s next, Demo Day offers a clear, time-efficient way to evaluate the tools that can move your data strategy forward.
Each session is focused, informative, and built to help you make smarter, faster decisions.
Session 1 – Precisely: Where Trust Begins: Prove Your Data Is AI-Ready with the Data Catalog
AI and analytics only work when you trust your data. You need to find it fast, understand what it means, and know it’s reliable before it powers a model or dashboard.
In this demo, you’ll see how a modern data catalog helps you prove your data is ready for AI and analytics—bringing visibility, accountability, and action into one connected experience. You’ll learn how metadata, lineage, and ownership help you identify critical data elements, assess their condition, and improve what matters most—without slowing down your initiatives.
What you will see:
- Catalog-driven discovery with governance context: Automatically inventory data assets with business metadata, lineage, and clear ownership so you can quickly identify and understand critical data elements.
- Data assessment in context: Evaluate completeness, consistency, and readiness directly within the catalog to surface risks before data is used.
- Guided improvement workflows: Move from insight to action with structured, repeatable processes that align updates with governance standards.
- Transparent proof of readiness: Provide traceable, explainable evidence that your data is well-defined, well-managed, and fit for AI and analytics use.
Extend your data catalog beyond discovery and turn it into a system of action—so your AI and analytics teams can move forward with confidence.
Session 2 – Informatica: Data Sprawl to Data Clarity: Unlocking Enterprise Value with the Informatica Data Catalog
Most enterprises today are drowning in data they can’t find, don’t understand, and aren’t sure they can trust — leading to wasted analytical effort, compliance risk, and eroding confidence in data-driven decisions. The Informatica IDMC Data Catalog addresses this directly by using AI-powered automation, including the CLAIRE metadata engine, to scan, classify, and catalog data assets at enterprise scale across hybrid and multi-cloud environments. Automated lineage discovery traces data from source to consumption, giving both technical and business users a clear picture of where data comes from, how it moves, and how it’s transformed along the way. Beyond discovery, active metadata management accelerates time-to-insight for analysts, reduces regulatory compliance exposure under frameworks like GDPR, CCPA, and BCBS 239, and enables data stewards to enforce governance policies at scale. The Data Catalog also serves as the connective tissue across IDMC — integrating with Data Governance, Data Quality, and MDM to turn metadata from a passive byproduct into a strategic enterprise asset.
Where Online Conversations Become Real-World Connections
Join us this May in San Diego for DGIQ + EDW 2026—where the insights you hear online turn into hallway conversations, meaningful connections, and collaborative breakthroughs. Experience the energy, the people, and the momentum that only happens in person.
