Explore ON EBX further
Everything you need to get started and scale
Explore curated resources to understand ON EBX—from platform fundamentals and core concepts to how it supports enterprise data management and AI-driven use cases. These resources help you evaluate the platform, align stakeholders, and get started with confidence.
- Platform overview and key capabilities
- Core data management and governance concepts
- High-level architecture and use case context
- Foundational best practices for enterprise data initiatives
Technical documentation
- Detailed architecture and deployment models
- Integration patterns and connectivity approaches
- Data modeling, governance, and lifecycle implementation
- Technical documentation and developer references
Product demos
- End-to-end platform walkthroughs
- Key capabilities in action, including modeling, validation, workflows
- Real-world scenarios across data domains
Insights and blogs
- Trends in data management and architecture
- Best practices for governance and quality
- AI and analytics readiness insights
- Industry perspectives and use cases
How industry leaders put ON EBX to work
Real-world examples of how organizations use ON EBX to improve data quality, strengthen governance, reduce operational complexity, and support more scalable data management.
*Selected case studies shown here represent only a portion of our broader body of work.
PostNL
Transforming data quality and operational efficiency
PostNL unified fragmented customer and operational data to improve data quality and enable a more customer-centric, data-driven logistics model.
Improved data quality and stewardship across systems
Reduced duplication and operational inefficiencies
Achieved 30–40% reduction in MDM technology costs
Enabled faster updates and better control over data processes
Panera Bread
Creating a single source of truth for scalable operations
Panera Bread centralized data across systems to improve operational efficiency and support rapid menu innovation across locations.
Established a single source of truth across business systems
Reduced manual handoffs and data errors
Enabled faster product and menu updates across regions
Improved agility, supporting new offerings and increased revenue
Rabobank
Strengthening data governance and improving data quality at scale
Rabobank established a centralized approach to reference data management to improve data quality, ensure regulatory compliance, and support consistent reporting across the organization.
Centralized reference data across systems
Strengthened governance with a dedicated data office
Reduced manual effort and data errors
Enabled scalable, self-sufficient data management
Improved data quality and reporting consistency
Learn from a growing community
- Discussions and shared learnings
- Practical tips and implementation insights
- Peer-driven problem solving
- Ongoing knowledge exchange
Ready to go further?
Access detailed resources, explore product capabilities, and connect with experts to understand how ON EBX can support your data strategy, governance model, and AI initiatives.
