VIENNA, VA (June 13, 2019) — CU Rise Analytics was recognized with the People’s Choice Award during the Killer Fintech Speed Rounds at the 2019 AXFI (Analytics and Financial Innovation) Conference in Minneapolis earlier this week.
CU Rise CEO Karan Bhalla and COO Suchit Shah presented its Predictive Model Suite, which gives credit unions access to the latest in powerful predictive analytics technology. The Predictive Model Suite uses machine learning to analyze member data and more accurately predict future behavior around member contribution, attrition, engagement, and cross-sell opportunities.
The Killer Fintech Speed Rounds highlight technology and innovation that is changing the world of credit union financial services. CU Rise was selected to give a fast-paced, seven-minute-maximum presentation, followed by questions from industry experts. Conference attendees then voted for their favorite fintech to determine the People’s Choice award winner.
Currently, the Predictive Model Suite includes a set of ready-to-use models, with the option to custom-build additional models around a credit union’s specific needs. The suite synthesizes a multitude of factors drawn from members’ demographics details, behavioral traits, transactional history and relationship with credit union to generate easily-actionable intelligence, reports and lists.
Because of the overwhelmingly positive response, CU Rise Analytics continues to add more modules to the Predictive Model Suite. The Predictive Model Suite is also available as a subscription-based service through CU Rise Analytics’ partner Trellance (formerly OnApproach) M360 Enterprise, which enables credit unions to integrate all of their data into a single source of truth.
CU Rise Analytics is a global CUSO helping credit unions leverage the power of data to better understand their members. CU Rise identifies the ideal intersections of member need and business opportunity, and provides cost-effective, actionable, manageable solutions that create high-impact results. It is a value-driven resource for data science, strategic best practices, and advisory services. Learn more at www.cu-rise.com.
Roopika Raj
518.421.9992 | roopika.raj@cu-rise.com
