- Distributed clustering analytics over multiple, disparate and remote databases eliminates the need for costly data warehouses
- Addresses issues of data ownership, privacy, and security, as data stays where it is
- Spots opportunities and risks as they occur for immediate action
- Provides encrypted analysis at reduced cost
InferCluster™ allows users to identify clusters and outliers hidden in large amounts of data automatically. InferCluster involves a number of independent Clustering Agents (CA) operating within a network-based environment. Each CA operates on its own local database and is responsible for clustering the data contained by the database. Distributed clustering is achieved through a synchronized collaboration of CAs facilitated by a Collaboration Server (CS) environment. This process results in a set of global cluster rules generated by the partial contribution of each CA and assembled through a CS communication mechanism.
InferCluster is a standalone component of the InferX Distributed Data Analytics Platform (D2AP). D2AP offers a new generation of technologies for a network-centric approach to pattern discovery from dispersed data. It is the key to unlocking the information stored in multiple, disparate and remote databases to generate actionable intelligence.