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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.
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.
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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.
Mike Lindberg leads a team that unifies business intelligence and focuses on returning value to the members of Wings Financial.
An internal program at Wings Financial builds serious data skills for interested employees.
For Financial Center First FCU, using predictive analytics to inspire action is all in a day’s work.
How data analytics and life experience drive record auto loan production at Oregon Community Credit Union.