Stakeholders unable to understand the potential of a new data model

Creating a fully-functioning prototype that uses real data is the best way to demonstrate a new concept to staff and stakeholders; It creates lightbulb moments, and sparks creativity.

Once new value opportunities have been identified, test a new approach rapidly using real data.

Unlike a "proof of concept" project, the concept has already been proven elsewhere, and a "proof of value" project will test whether the approach has value in a specific new setting.

A selection of knowledge graph education approaches can be used to help foster understanding of knowledge graph structures and their benefits.

Once new value opportunities have been identified, test a new approach rapidly using real data.

When new data modelling ideas are hatched, a business can build a new model, add real business data, test it, and demonstrate it rapidly.

This is an important capability for digital products, because it enables rapid pivots and speed-to-market. Business users have access to tools that support the visual design of knowledge graph models, and the loading and curation of data into those graph models, in order to test them rapidly.

When a business is aware of the reasons for using a knowledge graph and importantly the strengths and benefits.