Digital Transformation Hub

Navigate the complex digital transformation landscape and accelerate on your journey to exceed the growing expectations of your members and thrive.

QuickStart Services

Take data analytics maturity self-assessment to gauge where your organization is on the maturity journey. Learn More

Small Investments,
Big Results.

Focus on your members to grow your revenue, deepen engagement and repair “at-risk” member relationship.

Credit Union Analytics Summit 2019

Check out the video recordings, presentations and pictures from Summit 2019.


Top Technologies for Digital Transformation

Checkout Top digital transformation technologies that
drive value across the entire member life and back-office operations.


Top KPIs for Digital Transformation

Your guide to measuring the performance of business functions
across your enterprise.




All about - Machine Learning Engineering

Check out this intro video by Shubhankar Jain, Machine Learning Engineer from SurveyMonkey. The video is a quick introduction to machine learning engineering and discusses the following point as shared by him:

  1. What is Machine Learning Engineering
  2. What does an ML Engineer do?
  3. His…

Top Web Design Trends


Is your website in need of an overhaul? Finding creative inspiration can be taxing. But who says a finance site has to be boring? According to DesignAdvisor, 94% of users leave a website because of poor design so, while proper research and planning may take some time, it appears to be entirely worth it.

Imagine a physical establishment—you wouldn’t open a bank account at…


Most Important Social Media Marketing Trends


Over the last couple of years, social media platforms have evolved from platforms meant to connect people with their friends to great funnels for internet marketing campaigns. At this time, the importance of social media marketing is undeniable. SMM can help increase website traffic, build conversions, and improve brand awareness, as well as enable effective customer engagement…



CU Employee CULytics Founder

Introduce Yourself

As you join the community, please introduce yourself so that we all get to know each other better. I am Naveen Jain, VP Digital Analytics at First Tech Fed Credit Union. Joined FTFCU in April-2014 and it has been an incredible journey so far. I am also the host of Credit Union Analytics Summit, which has now become the largest CU Analytics event of its kind. Looking forward for meeting you all.

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84 Replies · Reply by Medhavi Singla Mar 18
CU Employee Community Chair

Member dividend/giveback program methodologies?

For those of you who have a formal "member dividend" or "member giveback" program, I'd be very grateful to know what methodology you use to determine who gets rewarded how much, and what constraints might get attached to those rewards. For those not familiar with them, these are those practices where credit unions offer a cooperative-style profit-sharing payment back to their members (similar to what REI does) -- sometimes annually, sometimes on just an occasional basis. I expect that there are…

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3 Replies · Reply by Mike Higgins Jan 15
CU Employee Community Chair

Member lifetime value modeling

In his influential book, Customer Centricity, Peter Fader urges marketing analysts to identify and understand the traits of a company’s most valuable customers – and argues the merits of using that knowledge to guide the company's most rational use of resources and its attraction of high-value future customers.His customer valuation model doesn’t limit itself to customers’ profitability at a particular point in time – but rather seeks to estimate (probabilistically) a customer lifetime value,…

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6 Replies · Reply by Dale Davaz Nov 21, 2018
CU Employee Community Chair

Householding best practices

Is there anyone who feels they’ve settled on really robust logic for aggregating members into households that maintain some reasonable level of integrity over the time dimension? If so, do you mind sharing some of the key principles that guide your business logic?To date, I’ve mostly just generated a field that concatenates member zip code with the address lines of their residence and used that as a key for aggregating spouses and children who all live together as a logical financial unit. Some…

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