TigerGraph

The Fortune 50 company, one of the largest technology corporations in the world, was seeking to develop a new core customer 360 record system. This system was intended to offer a product recommendation system and entity resolution feature. The goal was to create accurate customer profiles that displayed hierarchical relationships, thereby delivering an exceptional customer experience when customers interacted with their centralized database for various functions such as purchasing products or requesting services. The company also desired a system that was scalable and more efficient than their previous one. This operational function for their customer 360 was deemed critical to their competitive advantage in the market. The system was to consist of a centralized data source that would serve as the core of the customer data platform.

A leading cybersecurity company, known for its threat intelligence, endpoint protection, and disaster recovery services, was facing a significant challenge. The company was unable to scale their classification services with their existing SQL Server-based solution. The rapid emergence of new websites necessitated the use of accurate and timely threat data, and the execution of thousands of classifications per second across massive data sets. The company recognized the need for a completely new back-end to power their classification services, to keep pace with the ever-expanding internet.

The financial institution, one of the largest in the United States, was seeking to enhance its networking and link analysis capabilities for anti-money laundering. The institution wanted to identify connections between open work items in situations of interest, such as previous SAR filings and other open work items, and make this information available to analysts and investigators. They also wanted to conduct thorough ad hoc reviews of an entity, displaying the connections from an ecosystem surrounding a specific starting point of an investigation. Furthermore, the system should enable analysts to identify which connections and situations of interest lead to productive investigations and inform the creation, hibernation, or escalation of work items. The company was in search of a solution that offered a client-focused approach, state-of-art technology, and a next-generation database management solution that integrated seamlessly with its existing workflow.