Cogynt Snapshot

Government and enterprise’s adoption of big data and streaming technologies demand a new category of decision intelligence (DI) applications to inform critical decision making. These DI applications fuel today’s situational awareness, operational efficiency, and risk management initiatives. Many organizations invest in a multifaceted set of event stream processing, real-time analytics, decision support, and business process integration technologies that are the foundation of a decision intelligence platform (DIP) architecture. Attempting to build DI applications with a fragmented set of UDIP tools leads to significant development, resource, and performance costs. Organizations need a scalable, integrated platform that simplifies DIP management and expedites DI application delivery. This approach increases development efficiency, fortifies predictive analysis, and optimizes analyst, data scientist, and engineering resources.