A guide to Knowledge Graphs

Creating the context for intelligent decision-making

Corporate data can be a huge strategic asset. However, the sheer volumes and types of data, including structured and unstructured, and the fact that often data exists in silos can make analysing and using data to make better operational decisions difficult. 

Unstructured data is a plentiful source in an organisation. It generates immense business value, but many organisations have not been able to yield insights due to the challenges involved in analysing it - and this is where Knowledge Graphs come into play. 

For enterprise use, Knowledge Graphs compile organisational data (structured and unstructured), which is then served up visually, showing context and complex relationships between data entities. 

Download Engine B's guide, which discusses the data challenges of today and delves into the ways Knowledge Graphs are used. Explore our use cases for Knowledge Graphs, including for auditing, fraud detection, anomaly detection and real estate investigations. Download our guide to discover:

• Today's data challenges.
• What are Knowledge Graphs?
• Benefits of Knowledge Graphs.
• Difference between a Knowledge Graph and other analytics tools.
• Knowledge Graph use cases.
• Support resources.