Data Analytics & the Future of Financial Services

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Led by Filene Fellow, Dr. Cheri Speier-Pero, the Center for Data Analytics & the Future of Financial Services will advance credit unions’ understanding of and capabilities in data governance, management, and analytics to prepare credit unions for the future financial services landscape.

Cheri Speier-Pero E&Y Professor of Accounting and Information Systems, Broad College of Business at Michigan State University

University

Michigan State University

Featured Reporting

Report #607 | Apr 18, 2024 | Members

Accelerating Analytics: Creating and Fostering Academic-Credit Union Partnerships

Cheri Speier-Pero

The Center for Data Analytics has developed a series of reports focused on analytics readiness and, specifically, the levers a credit union must manage to accelerate value creation from its investments in analytics. This report focuses on the sixth and final readiness lever, which is related to partner/internal benefit creation.

Report #587 | Aug 1, 2023 | Members

Culture

Do Your Employees Speak Data?—Cultivating Employee Data Literacy to Maximize Analytics Value Creation

Cheri Speier-Pero

This research report explores the gap between more quantitative employees and business-domain-focused employees to more fully understand the human capital implications within the credit union system.

Upcoming Events

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Webinar | Apr 25, 2024

Accelerating Analytics

Finding the right partner to help your credit union deliver a high-performing and effective analytics strategy is key to success. In this session we will explore the value of academic partnerships and the opportunities they present for credit unions.

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Artificial Intelligence

Blog | May 17, 2024

Artificial Intelligence

Webinar: Demystifying GenAI Applications

Lamont Black
John Best
Chris Dierker
Christie Kimbell

Review materials from "Demystifying GenAI Applications" hosted May 16th, 2024.

Report #613 | May 13, 2024 | Members

Artificial Intelligence

The Evolution and Impact of AI in Credit Unions

Lamont Black
John Best

This brief outlines how credit union leaders can develop an AI strategy and begin taking practical steps toward further AI adoption.

Blog | Feb 16, 2024

Artificial Intelligence

Webinar: The Evolution and Impact of AI in Credit Unions

Review webinar materials from The Evolution and Impact of AI in Credit Unions hosted February 15th, 2024.

Report #598 | Feb 5, 2024 | Members

Artificial Intelligence

Text-Generative AI and the Future for Credit Unions

Ignacio Luri
Noël Manushi

This report examines TextGen AI technologies to separate fact from fiction amid the hype in such a way that allows credit unions to analyze the very real challenges, known limitations and promising opportunities that this technology brings.

Blog | Dec 14, 2023

Non-Interest Income Artificial Intelligence

Top 5 Most Watched Webinars of 2023

Dive into the most watched webinars for 2023.

Blog | Oct 4, 2023

Strategy and Planning Artificial Intelligence

Thinking Forward: AI, Talent, and Growth (Or Lack Thereof), Oh My!

What scares credit union leaders, and why we shouldn't fear the monsters under our bed. In this edition of Thinking Forward, Caroline uncovers all the scary threats facing the credit union industry and how leaders can prepare for a spooky strategic planning season.

Report #607 | Apr 18, 2024 | Members

Accelerating Analytics: Creating and Fostering Academic-Credit Union Partnerships

Cheri Speier-Pero

Blog | Mar 25, 2024

Exciting Partnership with Vertice AI Enhances Member Voice Segmentation Solution

The Member Voice solution comes at a critical time for the credit union industry. With credit unions lagging banks in consumer satisfaction for the fifth consecutive year, the need for a nuanced understanding of member expectations and preferences has never been more pressing.

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Data Analytics & the Future of Financial Services

What are the opportunities and risks associated with using artificial intelligence?

How can AI help credit unions improve operational efficiency?

How can credit unions leverage data analytics to better understand their members' behavior and preferences?