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Floating Cubes
Problem

Lack of a shared data model across business services

When different services do not share a common data model, it can lead to a number of problems, including data duplication, data inconsistency, data silos, and data security. These problems can make it difficult to make informed decisions, launch new products and services, and operate efficiently.
Improved by these Interventions
Hold domain modelling workshops
The Data Language team have been running domain modelling workshops since the BBC domain driven design projects in 2010. Domain-modelling workshops are an important way to foster and improve shared understanding of a core business concepts and relationships.
Technologies used
Domain Modelling
Information Architecture (IA)
Domain-Driven Design (DDD)
Socialize your Domain Model across the entire organization
Communicate and promote your domain model across your entire business. A "domain model" is a shared map of your core business objects and processes, and how they all interrelate.
Technologies used
Product Information Management - "PIM"
Domain-Driven Design (DDD)
Prevented by these Capabilities
Ability to manage all metadata in a Single Subject View (SSV)
"Single Subject View" is where assets and information adhere to one view of subject, or classification, across the entire enterprise. No matter where information is created, modified, or consumed, there is one version and identifier approach for the subject matter involved.
A shared data model and glossary across the entire organization
A representation of the important core business entities, how they relate, the vocabularies, and what the terminology means
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.
Inhibits these Capabilities
Strong information governance
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.
Ability to develop and launch new product features rapidly
Software teams can rapidly deliver new features and user experiences.
Leads to these Problems
Technical Debt (Tech Debt)
Agile deliveries create new tech legacy
Important Business Data is isolated in Data Silos
Caused by these Problems
No shared understanding of the core business structure
Seen in these Maturity Models
Digital Media Metadata Maturity Model
Stage 1: Basic Metadata - Maturity Stage
Assets have simple, unstructured "Tags" used to power free-text search and can aggregate/group the assets. This level offers no information for machines or humans beyond free-text search and basic collections.
Digital Media Metadata Maturity Model