It has become clear over recent years that whilst relational databases are very flexible they are not well equipped to store and analyse high volume, highly connected graph or network datasets. In response to this a vibrant graph data ecosystem has emerged leveraging tools such as the leading graph database Neo4j. Graph technology is now a dominant feature in many use cases such as metadata management, fraud prevention or recommendation.
The partnership will help organisations, particularly within Financial Services, adopt the latest graph data storage, analysis and visualisation tools and techniques. A particular focus for Data to Value will be to leverage Linkurious within the data consulting work they undertake in the customer regulation, fraud prevention, metadata management and risk management spaces. In these areas relational databases, traditional visualisation tools and techniques such as abstraction have historically failed to deliver high quality analysis and scalable systems. Paired with significant increases in the volume of regulation facing banks and asset managers this is becoming a major problem for many. Data to Value see this as a great opportunity to leverage graph technology for benefits such as more sophisticated risk analysis, faster client onboarding for KYC and AML and more granular understanding of metadata for areas such as data governance and data lineage.