How Workers Uses Data To Visualize A Better Tomorrow
The Massachusetts credit union is working across the enterprise and with other credit unions to make the most of data visualization software.
The Massachusetts credit union is working across the enterprise and with other credit unions to make the most of data visualization software.
The Michigan credit union is democratizing data with an enterprise approach to developing new levels of visualized insight.
The Massachusetts credit union is working across the enterprise and with other credit unions to make the most of data visualization software.
Is your credit union considering a dive into the world of analytics? You might be readier than you realize. Tapping into data that will help you identify what members need involves nothing more than asking a question and using information already on hand to answer it I’m not downplaying the power of comprehensive data dives
Top-Level Takeaways A formal program at Wings Financial teaches participants to be resident BI experts within their business unit. The program length for participants is based on the needs and request of the business units. Wings Financial Credit Union ($4.7B, Apple Valley, MN) reformed its business intelligence and analytics team two years ago with the
Top-Level Takeaways Starting with a 2014 core conversion, St. Mary’s Bank has taken a four-year journey deeper into business intelligence and analytics. Before it could leverage the full power of analytics, the nation’s oldest credit union first needed employee buy-in to try a new reporting technology and automate hundreds of manual reports. Melissa Pomeroy was
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.
Top-Level Takeaways BCU built its data warehouse in 2006. Since then, the information it contains has ballooned, requiring a better way to query, understand, and validate the data. A centralized member intelligence team is establishing stricter data governance and standards. “BCU ($3.2B, Vernon Hills, IL) has an insatiable appetite for data” says credit union vice
Top-Level Takeaways MSUFCU began its business intelligence unit in 2014, and now has four specialists with their own focus areas. The team is providing targeted lists for outreach efforts such as e-statement adoption and credit card marketing campaigns. Predictive analytics and advanced techniques for identifying potential market opportunities are in development. Acting on member data
Mike Lindberg leads a team that unifies business intelligence and focuses on returning value to the members of Wings Financial.

Coastal Credit Union evaluates fintech through the lens of member value, strategic growth, and organizational readiness to implement new ideas.

Credit unions are making decisions about where to build, invest, and partner as they balance today’s priorities with tomorrow’s opportunities.

Industry leaders share how they approach fintech investment, balancing immediate needs with longer-term bets while keeping member value and mission at the center.

Credit unions that enable seamless movement between fiat and digital assets position themselves as a trusted on- and off-ramp.

The credit unions that win the next generation will be the ones that showed up early, when young members were forming habits and deciding whom to trust.

The challenge is no longer whether to adopt AI, but how to adopt it responsibly with the right governance, the right partners, and the right balance between technology and human oversight.

McKinsey projects trillions of dollars in growth across digital assets, with money movement emerging as one of the biggest opportunities.

The Indiana cooperative blends internal development with selective partnerships to meet members’ needs today now while positioning for what’s next.

The San Diego cooperative leans on its CUSO and the CURQL network to make fintech investments, but member needs still guide which solutions ultimately make it into the credit union’s operations.

Hands-on work with artificial intelligence tools is future-proofing staff members, giving them the confidence to adopt new technology and embrace efficiencies.
Data Analytics Doesn’t Need To Be Daunting