OnApproach to host 2nd Annual Credit Union Big Data/Analytics Conference
PLYMOUTH, MN (February 25, 2015) — OnApproach (www.onapproach.com), the leading provider of Big Data and Analytics for credit unions, is pleased to announce it will be hosting a second annual Credit Union Big Data/Analytics Conference in Minneapolis, Minnesota, October 20th – 22nd, 2015.
The credit union industry is on the cusp of a significant challenge with the potential to disrupt the financial services landscape as we know it. Big Data/Analytics is driving a new breed of analytic competitors (e.g. – Lending Clubs, Google, Apple Pay, Amazon, Facebook, etc.) into what has been a very traditional marketplace. These new entrants are interested in skimming the profitable transaction side of the business while leaving the less profitable and highly regulated settlement side to the banks and credit unions.
As a Credit Union Service Organization (CUSO), OnApproach is fully committed to providing credit unions with the most robust, yet affordable, Big Data/Analytics solution. The 2015 Credit Union Big Data/Analytics Conference will focus on providing education and insight into Big Data/Analytics trends impacting credit unions and how credit unions can best position themselves to compete in the rapidly changing financial services industry by using Big Data/Analytics and leveraging the collaborative efforts within the credit union industry. The shift to mobile platforms is driving the need for a Big Data/Analytics solution as credit unions work to figure out how to deal with (1) new channels (2) more data and (3) an increasing variety of data.
The 2nd Annual Credit Union Big Data/Analytics Conference is open to all interested parties within the credit union industry. For more information and to register click here.
Register before May 15th and save $200.
OnApproach is a CUSO that focuses on providing credit unions with the power to use data as a competitive advantage both independently and cooperatively. With OnApproach, credit unions can now harness the value of Big Data through enterprise integration and predictive analytics. This deeper understanding of data allows credit unions to discover vital trends in member behavior, resulting in improved financial performance, reduced risk, and enriched relationships with members.