The knowledge graph has a number of benefits for Jefferies, including:

A leading global investment bank, Jefferies is known for its work in the areas of investment banking, sales and trading, and research. The Data Chefs helped Jefferies design and build a complete social intelligence platform across the firm and its social ecosystem. This platform uses knowledge graphs and AI to power several applications and actionable analytics, which has helped Jefferies improve its business operations.


The Data Chefs used a variety of technologies to develop the knowledge graph, including:


The data matching system is a critical component of the knowledge graph. It is responsible for identifying and matching data from different sources. The data matching system uses a variety of techniques, including natural language processing, machine learning, and rule-based matching.

Data Provenance and Identifiers Management System


The data provenance and identifiers management system is responsible for tracking the origin and history of data in the knowledge graph. The system also manages the identifiers for data in the knowledge graph. The identifiers are used to identify data across different sources and to track the changes to data over time.


The Data Chefs developed a variety of applications based on the knowledge graph, including:

Outreach email alerts triggered by significant events