Ontology: The Semantic Layer of Your Business

The Arkham Ontology is the semantic modeling layer of the platform. It is where you build a digital twin of your enterprise by defining the key Objects, Properties, and Relationships that constitute your business domain. This is not just a data catalog; it's an operational map of your business.

By creating a shared, human-readable language for your data, the Ontology bridges the gap between complex data infrastructure and business logic. It allows a business analyst, a data scientist, and the TARS AI Assistant to all ask the same question—"How many at-risk customers do we have in the retail segment?"—and receive a consistent, accurate answer, because they are all speaking the language of the Ontology.

How the Ontology Unifies Your Enterprise

The Ontology sits on top of the curated data in your Data Lakehouse, creating a layer of business meaning that is accessible to all users and services on the platform.

The workflow is designed to be collaborative and iterative:

• Model Your Business: Data engineers and architects map columns from trusted Gold Layer tables to business concepts, creating Objects like Customer or Product.
• Define Relationships: You then define how these objects relate to one another, such as "CustomerplacesOrder" or "Productis part of Inventory."
• Enrich with Metrics: Business analysts define key performance indicators in the Metric Store, which are computed using the objects and properties from the Ontology.
• Drive Action: Once modeled, the Ontology becomes the single source of truth for all interactions. TARS uses it to answer questions, Workbooks use it to build dashboards, and ML models use its properties as trusted features.

Key Technical Benefits

• Decouples Analytics from Physical Storage: By building on the Ontology, your analytics are no longer tied to the physical layout of the underlying data. You can refactor a data pipeline with zero impact on downstream dashboards, as long as the object model remains consistent.
• Enables AI and Compositionality: The Ontology provides the structured, semantic context that AI agents like TARS need to function. It allows the platform to understand that "revenue" and "sales" might be the same metric, or that a "customer" is related to a "support ticket."
• Accelerates Development: Builders can now work with high-level, self-describing objects instead of raw tables and columns. This dramatically speeds up the development of new analytics, models, and applications.
• Governance by Design: Security and access policies are defined at the object level. This ensures that permissions are managed based on business roles and responsibilities, providing a more intuitive and secure governance framework.

Core Capabilities

Dive deeper into the components that make up the Arkham Ontology:

• UI Reference: Learn how to model real-world business entities.
• Metric Store: Discover how to define centralized, reusable business metrics.