You want an agile, proactive business that can respond quickly to changing markets. Doing so requires trusted data.
With predictive data quality and observability, Collibra centralizes and automates data quality workflows to streamline data and analytics processes across the enterprise. And with integrated lineage, ownership model, and catalog, modernizing your data quality with Collibra means improving the future of your data intelligence by providing you the data reliability you need.
Join this session to get a general introduction to Collibra Data Quality & Observability and learn how to:
- Get started with Data Quality
- Create data quality rules using AI/Machine Learning
- Identify quality issues that traditional rule engines would miss
Henry Tram
Lead Sales Engineer – Data Quality, Collibra
Henry Tram has helped organizations from the SMB size all the way up to the large enterprise clients modernize their technology stack and implement scalable solutions to manage their data. He has supported a number of clients through their digital transformations with his experience working for Oracle, Informatica, and now Collibra.