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Floating Cubes
Problem

No shared understanding of the core business structure

Staff and teams have differing views and terminology for the important core business concepts and how they interrelate. If you ask them to draw a model, there will be many different views and terminologies.
Solved by these Interventions
Follow a Domain Driven Design (DDD) process
Domain-Driven Design (DDD) is a method for developing a organization's understanding of its business ecosystem, principally the important "things" and how they relate to one-another. The process often takes the form of facilitated workshops with domain experts in order to develop a shared set of conceptual models.
Improved by these Interventions
Knowledge Graph Education
A selection of knowledge graph education modules can be used to help foster understanding of graph structures and their benefits. These can be combined with a business' new domain model to help drive a shared understanding in digital transformations.
Launch a knowledge graph platform
A knowledge graph platform, complete with an API and Webhooks, integrated with core business processes, is a common intervention used to increase speed to market.
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.
Give stakeholders a UI to explore core business data
This intervention allows stakeholders of all kinds to explore the important and valuable core business data, usually using a graphical user interface (UI / GUI) of some sort.
Inhibits these Capabilities
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
Leads to these Problems
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.