Knowledge Graphs

The number one reason for creating a knowledge graph is to find the knowledge not visible at first glance. The simplest way to discover new knowledge using a graph database is by matching patterns. Finding new patterns can help you discover fraudulent activities or discover alternative action for guaranteed success.

Making decisions that point your business in the right direction is much easier with knowledge graphs. But, to create a knowledge graph, you need to gather all the data scattered in different silos, analyze the current connections between data points and discover new connections. It’s a complex task, but graph databases, such as Memgraph, make it a manageable one.

One issue many companies face today is that they have a lot of siloed data, making it difficult to draw conclusions or reason about the processes that drive their business. By using graph technology, it is easy to create knowledge graphs and use this data to gain insights and make informed decisions.

A lot of companies today have massive amounts of siloed data just sitting there and not being used. No information or knowledge was gained, and no conclusions were made. For the data to be useful, it needs to be interconnected and shaped into a knowledge graph that will produce value for the company. Read how graphs can help!

A Knowledge Graph is a reusable data layer that is used to answer sophisticated queries across multiple data silos. With contextualized data displayed and organized in the form of tables and graphs, they achieve pinnacle connectivity.