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An integrated information backbone

Data Language specializes in high-value information systems design and governance. A strong and highly contextual information backbone is essential for delivering and maintaining competitive digital products.
Solves the problems
Metadata is not readily available for machines and humans
No metadata disambiguation
Core business information is not readily available via API
Metadata holds no value for human or machine processes
Data silos slow down speed to market
Lack of a training corpus for AI systems
Lack of a shared data model across business services
Important for these Maturity Models
Digital Media Metadata Maturity Model
Stage 5: Knowledge Graph Metadata as a Platform - Maturity Stage
Your Knowledge Graph enables seamless journeys around the core business information model, and provides essential information management tools to human and machine users.
Digital Media Metadata Maturity Model
Knowledge Graph Platform Maturity Model
Stage 3: Knowledge Graph is Enterprise Ready - Maturity Stage
Your knowledge graph platform should be robust, scalable, and be able to easily integrate with your business systems
Knowledge Graph Platform Maturity Model
Knowledge Graph Platform Maturity Model
Stage 4: Knowledge Graph is a Strategic Asset - Maturity Stage
Your knowledge graph is a strategic asset for your organization and the authoritative source of all core business information and reference data
Knowledge Graph Platform Maturity Model
Knowledge Graph Platform Maturity Model
Stage 5: Operational Ecosystem - Maturity Stage
Your knowledge graph is central to your organizational business processes and innovation.
Knowledge Graph Platform Maturity Model
Delivered by these Product Features
Webhooks for event-based integration
Webhooks for event-based integration
Fine grained and expressive webhooks allow you to integrate Data Graphs with your business systems using event-based architecture patterns.
Comprehensive and expressive API
Comprehensive and expressive API
A richly featured API with full read/write and query capability that is easy to develop with and easy to integrate.
Intuitive data management UI
Intuitive data management UI
The Data Graphs user interface is intuitive to use and lets you manage your data model. Search, explore, and curate your data with ease.
Involves these Technologies
Graph databases
Domain Modelling
Domain modelling is a technique used in Domain-Driven Design for representing the concepts and relationships of a domain in a way that is understandable by both technical and non-technical stakeholders.
Domain-Driven Design (DDD)
Domain-Driven Design (DDD) is a methodology for developing a team's understanding of a problem space, including its important elements and how they relate to one another. This often takes the form of facilitated workshops with domain experts that culminates in the creation of a Domain Model that represents this shared understanding of the domain.
Inhibited by these Problems
Lack of a shared data model across business services
Core business knowledge is locked in people's heads
Related Articles
Case Study: How Data Graphs and AI Auto-Tagging transforms Publishing
Case Study: How Data Graphs and AI Auto-Tagging transforms Publishing
Publishing Technology
A case study on a recent engagement in the publishing industry using Data Graphs for centrally managing cross-publication content metadata, combined with Tagmatic for auto-tagging content.
Paul Wilton
Paul Wilton
April 10, 2022