But most organizations aren’t ready.
GenAI has made self-service data management inevitable. Business users can now perform data integration, quality management, and analysis that previously required data engineers.
The challenge?
Organizations that don’t proactively enable governed self-service will face:
Users adopt unauthorized tools to get their jobs done
Ungoverned data sprawl across teams and systems
Uncontrolled access to sensitive data
Federated data management enables self-service at scale by balancing user autonomy with central governance.
What it enables:
Connect users to all data sources — cloud, SaaS, on-premise — without migration or duplication
Enforce policies automatically across distributed teams while enabling domain autonomy
Natural language queries and conversational interfaces reduce technical barriers

– Gartner
What you will find in this report:
✓ Why self-service is inevitable — How GenAI is enabling business users to perform increasingly technical data tasks independently
✓ Strategic implementation roadmap — Phased approach to adopting self-service without disrupting existing operations
✓ Governance frameworks that work — Balance central oversight with domain-level autonomy through federated data management
✓ Technology evaluation criteria — What your platform needs to support enterprise-scale self-service safely
✓ Risk mitigation strategies — Address data quality, security, and compliance concerns before they become problems
✓ Organizational design principles — Define roles, responsibilities, and operating models for sustainable self-service
