Master Data Management
Graph databases are ideal for storing and exploring the hierarchies and complex relationships within the master data. They outshine traditional data management solutions with their modeling flexibility and capability for rich data visualization and analytics.
Graph data models are used to identify customer preferences and provide recommendations based on those preferences.
From flagging unusual events to uncovering hidden patterns of activity, graph databases provide real-time support to the insurance and banking sector.
Genome analysis, the next frontier in bioinformatics, requires high throughput sequencing and analysis of annotated graphs, a requirement graph database efficiently fulfills.
IT Asset Management
Graph databases support an array of asset management needs—mapping inventory, managing assets, ensuring timely upgrades, and delivering high-network performance.