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Financial institutions collect and have access to a treasure trove of member information. Finding ways to use it to better the member experience, however, is hard. But not impossible.
It’s become more common for credit unions to deploy analysts and build analytical-focused departments to help information-rich, time-poor organizations make informed decisions in near real-time. In finding analytical solutions to common challenges, credit unions are finding new ways to put member data to work.
Here’s how today’s credit unions are using analytics to their advantage.
Grow Financial’s analytics department has grown from a seedling department into a full-grown resource at the center of the cooperative.
CAP COM FCU is on a forward-leaning data aggregation mission that crosses platforms and connects silos across the organization.
The Michigan credit union is democratizing data with an enterprise approach to developing new levels of visualized insight.
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The Massachusetts credit union is working across the enterprise and with other credit unions to make the most of data visualization software.
Data mining and skill refining were top-of-mind for many credit unions in 2018. Put lessons from these innovators into practice in 2019.
A monthly collection of Callahan content that, together, addresses a single topic from a variety of perspectives.
St. Mary’s Bank used the power of data visualization software to introduce stronger business intelligence and analytics into the organization — and into the strategic decision-making process.
Carrie Jenkins is leading Centra Credit Union on a new journey into predictive analytics powered by a new core processing system and data warehouse solution.
BCU started small and developed its business intelligence on a case-by-case basis. Now, 12 years in, the credit union is considering how to re-engineer its data depository.
A CFO-led team of four specialists and an intern collaborate across the enterprise at the world’s largest university credit union.