TransUnion introduced OneTru, its new solution enablement platform for managing, governing, analyzing and delivering data and insights. The OneTru platform connects separate data and analytic assets built for credit risk, marketing and fraud prevention and concentrates them in a single, layered and unified environment that sits at the core of the business. This unified approach allows TransUnion to deliver a more accurate, complete and compliant picture of consumers, no matter the use case.
OneTru seamlessly integrates previously siloed platforms and analytics functionality. In this age of increasing data volume, variety and velocity, and escalating regulatory and privacy concerns, OneTru delivers more persistent identity resolution with sharper, more contextualized insights, while helping to ensure compliant data usage.
“Fragmented data sources and disconnected business applications can compromise access to analytic capabilities and increase time to insights. TransUnion has brought together the complementary assets we have built and acquired in recent years to streamline data access and maximize the speed and quality of analytics and the decisions they drive,” said Chris Cartwright, President and CEO, TransUnion. “OneTru is increasing the pace and breadth of our innovation and enabling the next generation of insight-driven solutions for fraud, risk and marketing, while helping our customers more quickly adapt to changing regulations.”
Built on top of TransUnion’s foundational hybrid-cloud infrastructure, and leveraging technology architecture, frameworks and IP from Neustar (a company acquired in December 2021), the platform will enable the company and its clients to capitalize on AI and ML technologies to solve for complex data issues.
“OneTru’s AI and ML driven knowledge graph capabilities will help our clients break down data silos and learn from the wealth of information available in our emerging digital world,” said Venkat Achanta, Chief Technology, Data and Analytics Officer, TransUnion. “This will allow our clients to move beyond traditional identity graphs that are limited to explicit data and deterministic linking. Our customers will have access to knowledge graphs that retrieve information from a much broader field and will be empowered to make logical inferences from linked, unstructured and structured data, thus providing additional meaning and context.”
SOURCE: GlobeNewswire