DATA COMPLEXITY
Fragmented data slows decisions. Ungoverned data limits AI.
Enterprise data is often scattered across systems, inconsistent in structure, and difficult to govern. As a result:
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Conflicting data
Teams struggle with conflicting data and low trust, making it difficult to rely on insights
Data preparation
Significant effort is spent reconciling and preparing data instead of using it
Invalid inputs
AI and analytics initiatives lack the reliable, structured inputs needed to deliver meaningful outcomes
Data structure
Business processes are slowed by data inconsistencies and duplication across systems
Limited visibility
Data remains trapped in silos, slowing transformation and limiting enterprise visibility
WHAT IS ON EBX?
Data management built for business context
ON EBX enriches enterprise data with structure, relationships, and meaning, so it can support operations, analytics, AI, and LLM-based use cases with reliable business context.
Data management
Model-driven enterprise data management
Define and evolve flexible data structures that support complex, shared data assets across the organization while keeping it business-friendly and easier to manage.
Data quality
Built-in governance and data quality
Reduce manual reconciliation through validation, workflows, and lifecycle controls.
Data context
Context-rich data for AI and analytics
Deliver structured, meaningful data that improves the reliability of downstream insights and AI outputs.
Unified platform
Unified platform across domains
Eliminate duplication and fragmentation by managing data centrally across domains and systems.
CORE VALUES
A foundation for trusted, context-rich enterprise data
Trusted data foundation
Establish consistent, reliable enterprise data through validation, controls, and lifecycle management.
Business context for AI and analytics
Enrich data with relationships, rules, and hierarchies to deliver meaningful, usable context for decision-making and AI.
Model-driven, open architecture
Adapt to evolving business needs with flexible data models and open integration—without vendor lock-in.
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See how it Works
Enterprise Value
Deliver impact across data domains and industries
ON EBX enables real-world outcomes across key enterprise use cases:
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Customer
Customer 360
Deliver consistent customer views and improve decision-making.
Product
Product data management
Improve data accuracy and accelerate time-to-market.
Supplier
Supplier data management
Strengthen supplier visibility and governance.
Reference
Reference data management
Standardize data across systems and processes.
ON EBX supports industries including financial services, healthcare, retail, and manufacturing.
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Industry Reach
Built for data-driven enterprises across industries
ON EBX supports organizations across industries, including:
- Financial services
- Healthcare and life sciences
- Retail and CPG
- Manufacturing
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Proven Performance
Trusted in complex enterprise data environments
From global manufacturers to financial institutions, enterprises rely on ON EBX to bring control, consistency, and governance to complex, multi-domain data environments.
- Over two decades of master data management expertise supporting enterprise data programs
- Proven across global deployments managing customer, product, supplier, and reference data
- Trusted by leading organizations to improve data quality, governance, and operational efficiency
- Delivers AI-ready business context to support more reliable analytics and AI-driven decisions
Data network
Testimonials
What enterprise leaders say about ON EBX
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testimonial
The convenience of the platform enabled Rabobank to install, model and implement ON EBX on its own.”
–Pim van Daatselaar, Rabobank Data Management Office
ON EBX software is helping Panera Bread increase revenue by allowing flexibility of our menu, so when the business comes up with a great menu idea, we can say, yes, instead of saying no."
– Noel Nitecki, Director of Enterprise Services, Panera Bread
The choice for TIBCO ON EBX software was a no-brainer from a cost point of view. With TIBCO's solution, we save 30 to 40 percent on MDM technology costs. This involves hundreds of thousands of euros per year.”
– Thijs Bult, Head of Data Foundation and Governance, PostNL
Using image analytics, you can look at your field as a whole and then overlay the different data layers: soil, irrigation, fertilization, and say, All right. I understand my field no
– Michelle Lacy, data strategy lead, Bayer Crop Sciences
With TIBCO technology, the sky is the limit. We have a lot of things to do, and our only limit is our imagination
– Fabrizio Pucciariello, System Architect Manager, Grupo Xcaret