CU 2.0 Podcast 22: Talking Payments and Data Analytics with Trellance’s Lou Grilli

It’s the Credit Union podcast! CU 2.0 is excited to bring you the twenty-second in a series of podcasts from Robert McGarvey. Welcome to the CU 2.0 Podcast, regular interviews with credit union leaders, thinkers, movers, shakers and more.

What do you think when you get an alert from your credit union offering you a 2.9% car loan – and you already have a 1.9% car loan that you got two years ago from the same institution?

Duh, right?

Lou Grilli, an executive at payments CUSO Trellance, thinks a lot about exactly those kinds of questions and he believes that for credit unions the solution will come through smarter, faster data analytics.

His opinions are rooted in information gleaned from the experiences of the roughly 2000 credit unions that own Trellance.

What your member will do, or need, tomorrow already is known in today’s data. You just have to look at it.

And Grilli thinks data analytics can unlock tactics for encouraging more member use of your institution’s cards – which is a goal of just about every credit union.

Along the way, Grilli also talks about the future of contactless cards, also what to expect from digital wallets such as Apple Pay.

Payments in the past five years have changed much more dramatically than they had in the preceding 25 and Grilli has a ringside seat.  That’s why he is worth a long listen in this podcast.

Click the photo below to listen now!

credit union data analytics, credit union payment trends, credit union podcast

Check out other podcasts in the series here!

CU 2.0 Podcast: Series 18 – Al Pascual on Biometrics

It’s the Credit Union podcast! CU 2.0 is excited to bring you the eighteenth in a series of podcasts from Robert McGarvey. Welcome to the CU 2.0 Podcast, regular interviews with credit union leaders, thinkers, movers, shakers and more.

**Pop Quiz**

How long have passwords been around?

How many credit union members want never to use one again?

What are the three must-have biometrics modalities?

When will biometrics effectively supplant passwords in financial services?

Flashback time: when did Apple introduce Touch ID, a tool that thrust biometrics into everyday use for tens of millions of consumers?

Consider the above your pop quiz. How did you score?

Al Pascual, a researcher with Javelin, who recently co-authored a report on biometrics and financial services, knows the answers to these questions and he tells all in this CU 2.0 podcast.

It moves fast, you’ll want to hear it.

A sliver of good/bad news: it’s the biggest financial institutions that are carrying the weight of persuading regulators about the efficacy of biometrics and that just may be a blessing for smaller institutions – credit unions included – who can follow behind.

Click the photo below to listen now!

credit union biometrics, credit union security

Check out other podcasts in the series here!

Getting Your Data In Order – A Recipe for Credit Union Digital Transformation

credit union digitial transformationData is fundamental to your credit union digital transformation. Customers must be able to efficiently and effectively manage transactions online. Credit Unions must be able to infer customer needs from those transactions and reach out to customers where they “live” online, whether through email, social media, or text. This blog post presents a simple recipe for getting your data in order as a foundation for digital success.

Step 1 – Unload the data you don’t need. 

Credit Unions tend to hold onto data forever, or at least long enough that it can become a problem. It is common for core systems to have database tables with hundreds of millions of transactional entries and years more data than needed for most operational needs.

Why? Fear of removing data? The effort to replace the data if you get it wrong?

Who tested that purge script anyway?

Shhhh. Is, “Don’t ask, don’t tell,” your data management policy?

OK, we all know that removing data isn’t on the list of critically important tasks, well, until it is. Removing data can make the overall management of your information system easier! Backups are smaller, and systems may run faster due to the smaller size of the database. It’s just less to manage.

The good news is that removing data, although challenging can be automated.

Step 2 – Clean the data you keep – for credit union digital transformation

Managing data in bulk is usually handled by IT teams. Managing data quality so your digital journey can be smoother is a front-line staff opportunity. The dirtier our data is the more each activity we want to embark upon causes exceptions. Having clean data reduces effort and increases performance by eliminating exception conditions.

How does data get dirty?

For example, complex core interfaces allow data entry errors to go unchecked and bulk imported data from a merger. I am sure you have other examples of where the data can and does go astray. Some kinds of data can be validated with scripts and tools, however, technology can’t fix all data problems.

Step 3 – Focus on data that supports digital engagement.

Ensuring the quality of member data like current email address and mobile telephone numbers is critically important for successful digital engagement with our members. It is important that names are correctly spelled, and that staff know how to pronounce names when they speak with a customer in person or on the phone.

Mapping member data help the selection criteria for digital campaigns, if your digital persona is a working woman who is the “CFO” of the household, you quickly realize that knowing whether your member is male or female is fundamental.

Do you have a report showing what percentage of your membership has an email in your system, a mobile phone number? This number is the upper limit of members your campaigns are able to address digitally.

Step 4 – For better member data, engage your members.

It takes time and effort to correct member data, and many Credit Unions are unwilling to ask members without some other offer or campaign. One option is to engage directly with your members to make sure their information is up to date. Train member service staff to pay attention to member data at every customer interaction. If key member information is absent or hasn’t been updated recently, have them ask members for updates.

The better the quality of your data, the easier your path will be to creating and managing the digital transformation.


Want to read more on digital transformation?

On the Digital Transformation Journey with Partners FCU’s CEO

Digital Transformation and the Old Fashioned Con

5 Lessons Learned from AXFI 2018

This week I had the honor of speaking at the 2018 AXFI (Analytics and Financial Innovation) Conference for Credit Unions in Minneapolis. I spoke on the Credit Union 2.0 DREAM methodology. First off, this is a great event that attracts an abundant group of Credit Union thinkers, innovators, and has truly great content. Here are the top five takeaways that I learned at this event!

  1. Artificial Intelligence is coming. We cannot hide from this. There were several great presenters including Lendified and Active.AI. We are starting to see a large number of ANI (artificial narrow intelligence) solutions hit the ground on things like small business loan underwriting, assessing credit risk, and chatbots that communicate with your members in their language.
  2. Rate Reset’s new product “Knock Knock” is winning solution competitions at tons of shows. After taking the NACUSO Next Big Idea award 6 weeks ago, Rate Reset wowed the Killer Fintech Speed Rounds at AXFI with its ability to retain existing members and products while also providing a great digital engagement experience for new member product offers.
  3. John Best of BIG demonstrated and taught how to use CU Ledger. Credit Union programmers went through two workshops and got to see firsthand how block chain technology can help credit unions secure their member identities while providing a better experience.
  4. The OnApproach Data Analytics platform is really driving innovation. There were numerous sessions where data scientists showcased great collaborative solutions for problems from CECL, member profitability, Data Lakes, to when members might be leaving. Both the collaborative environment as well as the large number of solution providers on the platform really showcased the power of CUSOs and teamwork.
  5. Analytics has a role in Cyber Security as well. Bob Miles, CISO Practice Manager, from Ongoing Operations, LLC, demonstrated key strategies and tools to find key member information on your platform, measure the risk, and help quantify and prioritize cyber tasks so that your Credit Union can minimize any potential impact from a hack or cyber event.

Overall, the AXFI conference is a terrific conference that delivers key technology strategy with hands on tactics for the industry. It attracts innovative thinkers in the industry and provides cutting edge content.

Credit Union Data Analytics: Who are your best members? :)

Our “A” members are the ones who know the difference between a credit union and a bank, believe it, feel it, and espouse it. They bring us all of their financial services business and tell all their friends. If you are interested in what their data tells you about them then this post in Credit Union 2.0’s “Almost 99 Small Data Credit Union Hacks” series will be helpful.

This blog is the ninth and final part in Credit Union 2.0’s “Almost 99 Small Data Credit Union hacks” series and is based on the book Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age which covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

The key here is patterns. Once you sniff out the predictive behavior, you can be proactive with how you interact with the member.

Here are some ideas on where to look for your “A” member patterns:

Data What to do with it?
Favorite Grocery Store Special promotion with that store
Favorite Vehicle Special promotion with the local auto dealer
Favorite Coffee Shop Hang out there too – send them a cup on you!
Favorite Online Retailer Special Promotion
Favorite Local Small Merchant Hang out there too
Favorite Gym Special Credit Union deal
Who They Follow on Facebook Could this be a potential guest blogger on your site? Maybe there is an opportunity for you to update your content to be more relevant.
Where They Work Follow their leadership online
When They go to Branches Better service hours
Who Their Favorite Tellers/Call Center Reps Are Understand why
What Life Stage They are at What is next for them and how can you help?


Knowing your “A” members inside and out and further tailoring your services will help those members bring their friends. You want your “A” members fiercely loyal and believing in the credit union difference. Show those members the difference every day and hang out with them and their friends.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the final post in a nine part series. If you want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

Click here for part seven of the data analytics series. 

Click here for part eight of the data analytics series.