Aux is excited to announce that Rio Grande Credit Union of Albuquerque, NM, is now live with the Cuery data analytics solution. Rio Grande is a welcome addition to the growing community of Cuery data analytics users and now has a complete view of its members—their products and services, their behaviors, and their needs.  

According to Roy Stange, Rio Grande’s EVP and CFO, “We are excited to partner with AUX and integrate Cuery into our operations. The system offers potential across our operations from Finance to Lending to Marketing in one comprehensive package. We look forward to gaining a holistic view of our membership.”  Tim Tibbals, VP of Data Analytics at Aux, adds “We are equally excited to have Rio Grande on the Cuery data analytics platform. We believe Cuery is the perfect solution for credit unions like Rio Grande to be able to leverage member data and make smarter, faster decisions across the entire product suite. At the end of the day, the member, not just the credit union, benefit from effective use of data.”

Cuery is a data analytics solution designed for small- and medium-sized credit unions with assets of under $1 billion.  It is an affordable alternative to other solutions costing two to three times as much or more.  Cuery operates on the credit union’s daily core processing data and integrates other third-party data from sources like the credit union’s online banking, credit/debit card, or mortgage and consumer LOS providers, to name a few. Cuery has many built-in metric and geographical-based dashboards which are easily filterable to focus on branches, postal codes, employees, credit scores, custom time periods, etc. but also allows the credit union to create their own analytical reports to provide to the executive & board committees and employees. Cuery also provides credit unions with access to data analysts, eliminating the need to hire internal data scientist or invest in additional headcount.  Cuery’s easy to use interface and its multiple layers of data security provide the perfect solution for credit unions seeking a cost-effective way to level the playing field using member data to create great member experiences and serve members with the products and services they need most based on their unique situations.