Elegant and scalable solutions to data problems
Having an intuitive and efficient technology solution is essential for businesses who derive intelligence from their data.
Neo4j and the Graph Platform facilitate storage and manipulation of interconnected data. Most importantly, this graph database allows a business to examine its data from multiple different angles.
This technology allows businesses to uncover hidden insights, make sense of complex interdependencies and identify relationships across data sets. It provides a brand new perspective on data.
Neo4j intelligently powers real-time applications across a whole host of scenarios:
Neo4j is designed to be efficient and fast at traversing highly connected data. A key factor that we take into consideration when deciding which solution best fits our clients’ specific needs. Further benefits include:
Building on the core Neo4j database, the graph platform gives you additional tooling, exploration and insight options, including:
Neo4j can serve as a primary database, or be easily deployed alongside existing enterprise data infrastructures. The latter approach offers powerful insight capabilities without disrupting day-to-day operations.
We provide full Discovery and Delivery services and can help in the following ways:
We’ve worked with Neo4j for many years. Our consultants are certified and highly regarded in the Neo4j space. As well as authoring the Manning “Neo4j in Action” book, we’ve also contributed to open source Neo4j-based projects.
SPRING DATA NEO4J (SDN) CONTRIBUTIONS
BOOKS
TALKS
REFERENCES
Consolidating datasets to drive future Data Analytics capabilities
“OpenCredo helped us integrate that data, seamlessly flow it into our data visualization tool, and deal with a massive amount of data duplication issues. The experience of working with OpenCredo couldn’t have been better – they were highly professional, organized, and supremely competent in delivering this work to us.” – Luke Hartig, Executive Director
Honouring CSR with fast access to ethical supply chain data via Google Compute Engine
“We have the ability to produce large data sets very quickly and there are huge retailers in the U.S. who could very well become clients just because of that,” said José Copovi-King.
“This is a huge step change for retailers and we’re now out in front of the competition in the CSR environment.”
Using Neo4j graph database to limit downtime, improve users’ experience and reduce costs.
“Neo4j is an obvious solution to explore for a graph network problem. It manages risk on the client side, and it also makes processes more efficient – Project Manager, SFR”
How to use LLMs to Generate Coherent Long-Form Content using Hierarchical Expansion
As impressive as they are, Large Language Models (LLMs) face difficulties when creating long-form content, primarily due to token limitations and inconsistencies in the output…
