METAPHACTORY SOLUTION

Build a connected enterprise information architecture with a semantic model

A semantic layer at the core of your Enterprise Information Architecture allows you to create a data environment that is robust, adaptable and scalable.

Make insights-driven decisions

Optimizing processes for speed and efficiency becomes crucial as your IT landscape expands. A semantic model provides a comprehensive digital representation of your organization's information landscape, enabling you to understand and analyze the relationships between systems, processes and business objects. This clarity empowers your teams to make data-driven decisions, enhancing efficiency and reducing redundancies.

Manage risks effectively

Understanding dependencies between business objects, business processes and IT infrastructure is critical for risk mitigation, operational efficiency and regulatory compliance. A semantic model consolidates distributed information, helping you assess the impact of system migrations or integrations, system failures or regulatory changes in real time. With this insight, you can make proactive decisions, safeguard critical operations and ensure business continuity.

Plan for future growth

Expanding into new markets, integrating new products or adopting emerging technologies requires an agile and scalable information architecture. A semantic model ensures seamless interoperability, allowing you to incorporate new systems, tools and data sources without disrupting existing operations. By creating a unified, contextualized view of your enterprise information landscape, you can future-proof your organization and accelerate digital transformation.

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Your benefits with metaphactory

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Turn metadata into actionable knowledge

Transform scattered metadata about your information landscape into a structured knowledge graph, providing a comprehensive, fact-based view of your enterprise.

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Break down silos with seamless interoperability

Unify fragmented data sources, aligning systems, processes and teams within a cohesive and queryable information architecture.

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Make confident, data-driven decisions

Enable hallucination-free, AI-powered insights by leveraging an explicitly defined semantic model, ensuring transparency, traceability and trust in your decisions.

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Enrich data with real-world context

Integrate and contextualize data to reflect real-world entities (business objects), enhancing understanding and decision-making.

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Ensure flexibility and machine-interpretability

Build flexible, machine-interpretable models that adapt to evolving business needs, new data sources and technological advancements.

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Enable advanced reasoning and analytics

Leverage explicit semantic structures to support sophisticated reasoning and analytics, uncovering hidden insights.

Proven solution

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This large German multinational manufacturer of premium vehicles and motorcycles uses a metaphactory-powered semantic layer for their Enterprise Information Architecture to transform their organization into a data-driven and knowledge-centric company.

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This leading provider of transport solutions uses metaphactory's semantic modeling capabilities to overcome data challenges and create a more connected, consumable, and actionable data environment across the enterprise.

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This American multinational food corporation leverages a metaphactory-driven Enterprise Information Architecture solution to save time and cost spent on analyzing their complex IT landscape of ERP systems when preparing for system migrations, upgrades, integration or consolidation and API publishing.

A deep-dive into metaphactory’s Enterprise Information Architecture solution

A semantic knowledge model to integrate enterprise information from many data sources and answer Enterprise Information Architecture-specific questions

A semantic layer of connected metadata…

Business critical information that describes business processes, business objects (the input & output of business processes), roles and responsibilities, IT systems and data products is explicitly defined, connected and mapped into a unified, coherent business object framework – the semantic model.

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… to surface powerful AI-driven insights

A semantic layer at the core of your Enterprise Information Architecture empowers end users to answer complex questions, surface hidden insights and democratize knowledge across the enterprise.

Typically, such information is hosted across isolated systems, such as:
» Data catalogs & lineage tools
» Business glossary management tools
» Business continuity management tools
» Data governance & GxP compliance tools
» Business process modeling tools
» Master data management tools
» Enterprise architecture modeling tools
» Business management software, e.g., ERP or PLM systems
» Static documentation, e.g., using UML

While these systems are not replaced, the information they hold is seamlessly connected using virtual access (federation) or by materializing relevant metadata in the semantic layer. This provides a single source of truth for your enterprise information landscape, as well as a consistent and unified understanding of business objects, and is key to governing and shaping your Enterprise Information Architecture.

An LLM-powered AI agent allows end users to ask sophisticated questions in natural language and – because it is grounded in factual, explicit knowledge from the knowledge graph – returns context-sensitive, trustworthy and explainable insights. Alternatively, users can leverage a semantic search interface to interact with the data.

Typical questions your users will be able to get answers to within seconds are:
» Which IT systems contain information related to a specific business entity?
» Which business processes are affected by a system shutdown?
» Which business processes are most impacted by supply chain disruptions?
» What critical business risks arise from reliance on third-party data sources?
» Which IT systems would be impacted by a new data protection law?

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Enterprise-ready

An extensible semantic model supports the addition of new data sources and use cases at any time

Allows you to meet your enterprise’s specific requirements

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Collaborative & open

Supports versioning, team collaboration, governance, quality control

Follows FAIR data principles and is based on W3C open standards

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AI-ready

Explicit meaning of data and facts improves your AI agents

Or use the integrated conversational AI interface

Enterprise Information Architecture Resources

Get started with metaphactory to elevate your Enterprise Information Architecture