Being Relevant to our Members

credit union data

In my last blog, I talked about cleaning up data. Ugh. It is hard work, and I was primarily focusing on core system data. Today I want to suggest thinking about new ways Credit Unions can use existing data.

Most Credit Unions have a heartfelt mission of supporting member’s financial well-being. Yet in some ways – we simply do not engage members enough. What! Hear me out – I’ve got an idea…

Credit Unions can use their data in creative ways to be more relevant to our member’s lives. Let’s take the example of a car loan. We spend a lot of effort and money on “selling” the loan. We offer great rates, we make the buying process convenient, and we spend hundreds of thousands of dollars on systems that will make the loan application process easy with features like automatically creating their membership or integrating with online banking. OK, we got them, they purchased the car and we closed the loan. We did it!

That member now has a 60-month loan and, if they pay on time, we’ll send them their pink slip in 5 years. For many Credit Unions, this scenario is the extent of the relationship between the credit union and the member’s car loan.

It’s all about the data.

What if we used the data we have about car loans to make relevant offers at relevant intervals for something that a member wants? (I know, you may be saying you already make offers at regular intervals, but staying relevant means offering something the member wants.) In the case of a car loan, how about offering a credit card at 18 months (when cars typically need new tires) and double or triple the points off on tires? For an even sweeter deal for the member, work with a box store or a local tire shop to provide even deeper discounts.

The Credit Union gains a more engaged member and credit card revenue. The member gains a deal on a credit card and a discount on something they know they need to purchase soon anyway. The local tire shop gains more awareness and local business.

WIN-WIN-WIN

Now, if you are an even more entrepreneurial community Credit Union, you can offer business customers faceless data. In the auto loan example, if the tire store could see how many tires your members purchased over the last year, they could use that data to improve their marketing efforts and the timing of their advertising and discount offers. They would not be able to see individual transactions, only the aggregate information on purchases.

Now you have an engaged business member that is only able to get that information from your Credit Union.

WIN-WIN-WIN-WIN

The digital journey requires us to find creative and innovative ways to use data to help our members while becoming more engaged in their lives, not just their financial lives. Becoming more innovative with information is a transition that Credit Unions must embark on to continue to be relevant!

Read more about Credit Union Data and Data Analytics:

Getting Your Data In Order – A Recipe for Digital Success

Credit Union Data Analytics: Put the Community in your Fees!

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

Credit Union Data Analytics: Common Error Avoidance

Now that we are more than halfway through our Almost 99 Small Data Hacks for Credit Unions – Guide series, it is time to switch gears a bit. This posts features hacks that are entirely focused on expense savings. One credit union I worked at would survey its members regularly. The common sentiment was that the credit union is great, and despite making lots of mistakes, they always fixed them. Sometimes mistakes can actually lead to good things, but in today’s world of fintech and automation, mistakes can also be infuriating.

This is the sixth post in a nine part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age 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)

Data Analytics can help us see where our mistakes are occurring and how to proactively fix them before we risk repeating them over and over and infuriating our members.

Mistake Pain Action Plan
Sometimes our loan officers enter the wrong rate The member may not notice for a while, and it will take a lot of work to unwind and leave a bad taste. Run a report monthly of loans by interest rate. Sort by High and Low rates. You should quickly see if there are any incorrect rates. This then can be quickly fixed before it is painful for the member.
Sometimes our member service reps enter the wrong rate The member may not notice for a while, and it will take a lot of work to unwind and leave a bad taste. Run a report monthly of loans by interest rate. Sort by High and Low rates. You should quickly see if there are any incorrect rates. This then can be quickly fixed before it is painful for the member.
Broken Links Members click on link on your website that is dead. Once a month test the website links and make sure they are working.
Franken Forms When a member fills out an electronic form and information is sent to the abyss. Test your forms on your website and make sure you have a mapping of where the data goes and who is using it.
Monthly Subscriptions Sometimes companies like Netflix of other subscription services incorrectly bill our members. Determine the most frequent subscription services and prices, then look for members who are getting duplicate charges or are potentially being over billed and alert the member.
Phone numbers and hours There is nothing worse than having the wrong hours or addresses on your website Create an inventory of locations and hours and where the information is kept. Review this list once a year (website, facebook, behind online banking, mobile…you get the idea). Test the phone numbers and ensure everything is correct and operational.
Loan Payments Sometimes people over pay Run a report of loan payments made vs. expected.  If someone pays 10% more than normal, look into it further and let the member know.

Have an idea or something to add to this list? Submit it to the Credit Union 2.0 team today by emailing us at info@cu-2.com and help us improve this post!

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 sixth post in a 9 part series. If you can’t wait for next week and 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.