As the price for just about everything is increasing, so are the seemingly endless fees credit unions are charging their members, says Jerry Collins, who argues that these fees burden members and work in opposition of the foundation on which credit unions are built.
There’s more to submitting a custom report request than simply making the request, says BlueOx Credit Union’s George Hopper. Data analysts may ask a number of questions in the process and offer new perspectives to consider. Hopper offers a few example questions you should know before making your next request.
Data is essential to credit union operations, but sloppy handling of data can make utilizing it difficult and inefficient—and when unprotected, can lead to data loss. Data Analyst Tabitha Pierce shares practical advice on how to manage and safeguard your data.
Without data governance, your data can become an inconsistent nightmare, making utilizing it nearly impossible. Tabitha Pierce explains how to use Excel and Power Query to wrangle your data, take control, and create consistency.
When it comes to data analytics, analyst Sarah Ashby argues that no skill is more essential to have than the ability to effectively communicate the process and findings to both experts and laymen alike.
Does data run lawless in your credit union or does it operate under a set of strict guidelines? Data analyst Sarah Ashby argues that without strong governance, our data becomes chaos and makes it nearly impossible to yield successful results.
Whether we are aware of them or not, we use codes constantly in our everyday lives, and credit unions are no different. George Hopper explains why cultivating a code book is beneficial for your credit union, your data, and your members.
Don’t wait for a member to close their account before reaching out and engaging, says data analyst Sarah Ashby. The time to reach out is now, and your data can help you figure out where to start.
Data analyst Sarah Ashby warns against getting lost in the aesthetics of data presentation, which can often overshadow or even hinder the true point the data is meant to convey.