USE CASE
Turn Industry Data Models into Ontologies to Drive Smarter Analytics
Timbr transforms data models into dynamic ontologies, bridging the gap between enterprise data design and business-ready insights.
With ready-made ontology templates for industry models and AI-powered ERD-to-ontology generation, Timbr enables organizations to rapidly build semantic models that are mapped to underlying databases.
This unlocks faster time-to-insight and gives business users intuitive access to meaningful data.
BEHIND THE USE CASE
Looking to turn legacy data models or ERDs into SQL ontologies? This blog introduces a simple LLM prompt that transforms ERD images into Timbr-ready semantic models, accelerating your journey to intelligent data products.
USE CASE TEMPLATE
Timbr Github repository contains a collection of SQL ontology-based semantic data models. These ontologies serve as customizable templates, designed to help users jump-start their modeling process tailored to their specific business domains.
USE CASE ONTOLOGY MODEL
The ontology semantic model makes it easy to understand and find data across tables and datasets. Timbr speeds up data discoverability by displaying data as a network and in a business-friendly manner.
Key Capabilities
- Immediately Usable: Immediately usable out-of-the-box.
- Mapped to Best Practices: Mapped to best-practice entities, relationships, and hierarchies.
- Fully Customizable: Fully customizable to align with your specific data architecture.
- Automatic Recognition: Automatic recognition of entities, relationships, and cardinalities.
- Ontology Construction: Ontology construction guided by Timbr’s smart prompts.
- Direct Mapping: Direct mapping of concepts to real data sources for immediate querying.
