Predictive Analytics for Credit Union: Member Limits
In the first several posts in this series, we covered key insights that can be gathered from address changes, payroll changes, and fees as part of our “Almost 99 Small Data Hacks for Credit Unions” series. Next up, we will dive into credit union services and limits that can sometimes negatively impact your relationship with […]
How Frightened Should You Be About Amazon Banking?
By Robert McGarvey For CU 2.0 Think very – that’s the question’s answer. But maybe you already have in hand the exact weapons you need to defend your position. Surprised? Read on. Triggering this discussion is a recent Snarketing post by Cornerstone Advisors’ Ron Shevlin that offered hard data about Amazon’s potential popularity as a consumer bank. Cornerstone had surveyed […]
Data Analytics for Credit Unions: What can you learn from your member’s payroll?
In the last post in this series, we covered key insights and actions you can take when your member changes their address. This post continues takes a similar path and explores what can you learn when your member changes their payroll. This is the third part of a 9 part series. If you can’t wait […]
Credit Union Data Analytics: What can you Learn when your Member Moves?
In our first post in this series, we covered key insights and actions you can take to turn member fees into positive, educational, and empathetic experiences for your member. This week we go even further and dive into what insights your Credit Union can learn from its data on its moving members. This is the […]
Credit Union Data Analytics: Put the Community in your Fees!
If you work for a credit union and are looking for ideas on how to leverage key data to improve your member service or overall credit union member experience, then this post is for you. This is the first post of a 9 part series. If you want the full guide “Almost 99 Credit Union […]
CUNA Council Interviews: OnApproach’s Paul Ablack on Real-Time Analytics to Enhance the Member Experience
At CU 2.0, we know that the member experience is critical! And Credit Unions can use data to start thinking about specific member experiences and how those can be replicated. OnApproach President/CEO Paul Ablack joins CU Broadcast in the Studio Lounge at Cuna Tech to discuss his conference presentation: “Real-Time Analytics to Enhance the Member […]
Big Data or Bust: The Credit Union Wakeup Call
By Robert McGarvey for Credit Union 2.0 Ask credit union executives about big data and what you are most likely to hear aren’t cheers of approval but grumbles and that is because many institutions have shoveled money into big data initiatives but have enjoyed scant benefits. That’s fact: big data plays require a lot of thought, planning and […]