The speed rounds consist of fast-paced, seven-minute-maximum presentations, followed by questions from industry experts. CU Rise will be presenting its Predictive Model Suite, which gives credit unions access to the latest in powerful predictive analytics technology. The Predictive Model Suite uses artificial intelligence to analyze member data to more accurately predict future behavior around attrition, engagement, and cross-selling.
“Advanced data science methods like predictive analytics are no longer only the domain of the bigger institutions with the most resources,’ said CU Rise Analytics CEO Karan Bhalla. “As these powerful tools become more broadly accessible, credit unions are tapping into previously unseen insights from their own data for highly targeted, highly effective strategies.”
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.
About CU Rise Analytics:
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