We are awash in a sea of data. How does business turn this into competitive advantage? We hear about the term ‘digital twin’, but how can we apply this and make this a reality?

The answer lies in part through recognising that data encodes information; correctly structured, that data represents useful knowledge. Part of the challenge is framing the information - as Einstein famously said ‘writing down the problem is 90% of the work’, solving it is 10%.

Data is really about relationships; relatinoships between entities. We can understand relationships through graphs, a “semantic web”. Graphs represent the famous ‘koninsberg’ problem… The context a graph soultion provides helps us build better solutions.

Huge progress has been made scaling up graph databases

By applying some organising principles, we can help you build knowledge graphs, that reprsent aspects of the world your business operates in.

Organising information and knowledge requires principles.

“Most organizations are dealing with massive amounts of data in various formats, types, and across systems. Their challenge is to turn that data into intelligence that’s useful for complex decision making.”

We can help you build knowledge graphs using proven database technologies, including Neo4j and . Then we can help you interrogate these kmnowlege graphs, a form of actionable intelligence.

Context helps us build better solutions

organising principle separates regular graph from a knowledge graph

bridge data silos

actionable knowledge

decisioning knowledge graph.. use in data analytics machine learning/data science

trust data to be able to trust thd ecisions GIGO can help build mechanisms to ensure data is correct

probabilistic decisions

digital twin - model of the world digital artefact of a real world thing digital represntation of a realworld artefact

all these things connected, if I change this, what is the impact on that …

model flat structures into graph structures


key point - big data driving an ability to reason about probabilities… ***


world of data - data touchpoints volume of data in modern world… Victorian age dawn of computer age early IT systems early ‘Friends Reunited’ etc. search engine tracking


graph model of information gathering..