The Decision Maker

Data Insights – Back to the Basics

Posted by Merrill Albert on Oct 8, 2019 12:51:00 PM

Many people are talking about data insights, or data analytics, without exactly knowing what they mean. They’ve heard that the company will benefit but don’t know how to get there. They might try to “throw money at it” and hire talented Data Scientists hoping they will magically get results, but that’s not the way it works.

Getting the right results all starts with what you do with your data. You collect data on your members based on their business activities. Now you must apply mathematical techniques to this data to obtain analytics. You then apply business knowledge to your analytics to gain insights. These insights will ideally provide you with information about your business that will allow you to act. For example, it might be an insight around payment trends that can help you work with members before there are problems, or it might be an insight into something new happening in the industry that you have to react to.

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Topics: Reporting and Analytics, Data Visualization

Unlock the Data in your Reports

Posted by Lou Grilli on May 16, 2019 11:07:36 AM

Simple Steps To Make More Informed Decisions And Enhance Member Experience

There is a lot of buzz about big data and data analytics, but all the data in the world does no good unless it is utilized. Credit unions are behind retail and online companies in using data to make informed decisions. For example, if your forms, such as a HELOC application, do not have the fields for name, address, etc. already filled in for your members, that indicates that you are probably not using your data. You should already know this information about your members. Save them the hassle and give them the option of updating if necessary.

There’s so much more data than was available in the past that can be collected and used for purposes that can benefit the member. There are also better tools than previously available to aggregate the data to help decision makers. These two factors are bringing a wave of data analytics to credit unions. More importantly, it’s a matter of survival. Credit unions must take advantage of these opportunities to guide their sales initiatives. For example, the data can help you to decide who to target, like a new member who joined the credit union to access an auto loan, should be offered your credit union-branded credit card to maintain a sticky relationship. Or, who not to target for a specific product, like a member who already has your credit card but accessed a new loan, should not be sent another offer for the same credit card. Rich data helps you to determine who your target is for specific products and services, which helps to enhance your member experience.

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Topics: Reporting and Analytics, Business Intelligence, Data Visualization

Reports of Reporting’s Death are Greatly Exaggerated

Posted by Peter Keers, PMP on May 2, 2017 11:01:00 AM


In the world of credit union data and analytics, there are hot topics galore:

These subjects fall under the trendy term, Data Science. Yet, when it comes down to the practicalities of everyday business at a credit union, plain old reporting still provides the most information used for decision making. An O’Reilly/TIBCO Jaspersoft e-book released in March 2017 quotes a recent InformationWeek survey that found 88% of organizations are using reports while only 34% use data science.

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Topics: Reporting and Analytics, Data Visualization, Digital

Credit Union Cooperation: Google Maps Style

Posted by Nate Wentzlaff on Feb 7, 2017 12:02:00 PM

As credit unions begin their journey into the future, they must rely on an industry standard analytics platform to guide them to their destinations.

Google Maps has revolutionized how we navigate our lives. It saves us from headaches caused by unnecessary traffic and other challenges in traveling. My journey from work to home has many different routes depending on traffic patterns. During days with slower traffic (i.e. - winter snowstorms), the Google Maps recommended route will change every 5 – 10 minutes. Using an analytics engine that informs me of the best route allows me to spend extra time on more important things in life. Credit unions have a similar opportunity when navigating their institutions into the uncertain future of financial services. Establishing an industry standard analytics platform will enable credit unions to cooperate on analytics and guide them to their desired destinations.

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Topics: Data Integration, Data Pool, Data Analytics, Collaboration, Data Visualization, Insight Platform