Experian's Ascend Ops facilitates efficient model deployment for lenders, allowing them to deploy new features and models in days instead of months. Ascend Ops accelerates advanced analytics, automates deployment processes, and proactively monitors model performance.
FREMONT, CA: "Ascend Ops is a game changer in operational efficiency and, most importantly, in helping our clients protect and better serve consumers without making significant investments in their infrastructure," said Scott Brown, President, Consumer Information Services. "Our solution provides a smarter, faster and better way for our clients to rapidly deploy and manage models for key use cases, including marketing, underwriting, fraud prevention, account management and more."
Experian reveals their solution, Ascend Ops, to help lenders streamline deploying and managing financial models. Ascend Ops enables end-to-end marketing, acquisitions, fraud prevention, account management, and more in a single platform. Lenders can leverage this solution to enhance their deployment capabilities in lesser time.
Ascend Ops, part of the Experian Ascend Technology Platform, offers versatile applications beyond the financial sector, enabling models' construction, deployment, and management across industries. It eliminates the need for recoding or additional technical support by facilitating the deployment and operation of models created in popular open-source languages or development platforms. As advanced analytics become indispensable in today's dynamic landscape, 95 percent of lenders rely on them to maintain a competitive edge and effectively serve consumers.
The increasing sophistication of models can lead to longer deployment timelines and higher costs. According to Experian's research, building a credit decisioning model takes an average of 15 months, and 55 percent of lenders have developed models that never reached production.
Ascend Ops addresses these challenges and transforms business operations by automating the deployment of custom features and models, expediting the transition to production within days instead of months. It accelerates utilizing advanced analytics and machine learning capabilities while leveraging powerful run-time services for real-time and batch decisions. The platform eliminates the need to recode models, allowing businesses to code once in their preferred language and reuse them across the entire customer lifecycle.
