Overview
Data Catalog Automation involves leveraging machine learning and AI tools to identify, classify, and tag data assets automatically. This improves data discovery and makes it easier to organize and manage data assets, boosting productivity and improving data governance. Maintaining accurate and up-to-data data catalogs is also essential for efficient ML/DataOps processes and our Data Catalog Automation solutions streamline this process to benefit data teams, data stewards, data consumers, and business users. With automated data cataloging, your organization can enjoy more easily searchable and accessible data assets, up-to-date catalogs that can effortlessly scale to accommodate growing data volumes, and improved data quality with more accuracy and reliability.
