A framework to connect data work to measurable outcomes. Value management tracks the impact of projects over time, monitors progress against business objectives, and supports decision-making with clear ROI indicators. It ensures every initiative contributes to tangible business value.

An automated approach to keeping your data assets organized and up-to-date. Automated cataloging continuously scans, classifies, and enriches metadata, allowing human effort to focus on the most critical areas. It delivers a reliable, real-time view of your data landscape to accelerate discovery and usage.

A central hub to manage data and AI governance processes efficiently. The governance center defines clear ownership, roles, and policies while ensuring compliance and data quality. It simplifies governance without slowing down teams, creating a secure and trusted data environment.

A product-oriented approach to managing data and AI assets. By treating them as products with their own lifecycle, ownership, and value roadmap, you ensure continuous improvement, better alignment with business priorities, and a sustainable, long-term impact.