The Decision Maker

A Day in the Life of a Data Analytics SVP: Making Use of Your Credit Union’s Data

Posted by Mark Portz on Aug 24, 2017 11:17:42 AM

If you are a credit union still waiting on the data analytics sidelines, you’re already too late. Data analytics is not a fad – it is a major opportunity for credit unions to gain deeper insights and improve decision making to create a strong and competitive future. However, it is not always clear where credit unions should begin. To help answer these questions, John Best recently spoke with Clay Yearsley, SVP of Data Analytics at Texas Trust Credit Union about getting started on the analytics journey, the skills needed, and the value of data in the podcast, “Catching a Unicorn – Discussing Data Analytics with Clay Yearsley”.

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Topics: Data warehouse, Data Analytics, Podcast, BIGcast

Lagging Contenders: How Credit Unions Can Catch Up in Data and Analytics - Part 1

Posted by Peter Keers, PMP on Aug 8, 2017 11:18:43 AM

The message has been ringing load and clear throughout the credit union industry for years: make better use of data and analytics or lose “member share” to more progressive CU peers or (horrors!) banks and fintech startups.

Despite the warning cries, the proportion of credit unions embracing this trend is (horrifyingly!) low.

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Topics: Data warehouse, Data Integration, Data Analytics, Data Quality, Data Silos

Leveraging the Data Advantage

Posted by Peter Keers, PMP on Jun 26, 2017 12:03:00 PM

Credit unions are awash in data, but until recently there were few options for leveraging this data for better decision making. That has changed with the emergence of two major innovations. 

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Topics: Decision Support, Data Standards, Data Analytics, CU Analytics Platform

7 Ways to Make the Most of Credit Union Member Data

Posted by Steven D. Simpson and Paul Ablack on May 16, 2017 11:01:00 AM

Leaders and business intelligence at credit unions are putting a tremendous focus on ways to use advanced data analytics to identify trends, detect patterns and glean other valuable findings from the sea of information available to them. Without question, member data is valuable. But the greatest value lies in the ability to empower each line of business to achieve strategic initiatives and performance goals. When this empowerment is coupled with improving member service, a proven, repeatable best practice results.

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Topics: Data Analytics, Member Behavior, Leadership, Data-Driven

Business Use and ROI of Data Analytics with CUbroadcast at NACUSO [VIDEO]

Posted by Mark Portz on Apr 25, 2017 2:05:13 PM

OnApproach CEO, Paul Ablack, and Mike Lawson of CUbroadcast caught up at the NACUSO Network Conference in Orlando to discuss credit union industry trends and the upcoming 2017 AXFI Conference

The interview covers credit union collaboration, fintech disuption, enterprise data integration, predictive analytics, data pooling, member experience, Identity and other exciting topics relevant to today's financial services industry. 

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Topics: Video, Data Analytics, collaboration, AXFI Conference, CUBroadcast

5 Reasons to Pool your Data

Posted by Mark Portz on Mar 7, 2017 1:04:00 PM

Data continues to prove itself as a necessity for decision-making in financial institutions. For years, major banks and innovative companies such as Google and Amazon have taken advantage of “Big Data” to gain better insights into their customer base and make business decisions to position themselves for the future. The credit union industry is finally beginning to take advantage of their data and utilize new technologies. However, credit unions are much smaller than major banks and simply don’t have the same quantity of data that banks are able to collect from their customers. Fortunately, data pooling serves as a great solution to this problem. Here are 5 reasons your credit union should participate in data pooling:

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Topics: Data Pool, predictive analytics, Data Analytics

Prescriptive Analytics for Credit Unions: Healthcare Style

Posted by Nate Wentzlaff on Mar 2, 2017 12:03:00 PM

Just as healthcare is developing robust analytics for patients, credit unions have a great opportunity to empower members to track their financial health and take actions to improve it.

Being raised in a small town, I never thought about the healthcare I received. I had the same doctor from birth until I moved to college. As long as nothing seemed wrong to him, I felt confident that I was healthy. However, when I moved to a bigger city, everything changed. I was no longer able to rely on my hometown doctor, and I needed a way to monitor and maintain my health. At the same time, the healthcare industry was going through a data revolution. The traditional relationships between doctors and patients were changed forever. In shopping for my new healthcare provider, I felt the most comfortable with the one that had the best analytics and enabled me to make data-driven decisions to improve my health.

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Topics: Data Integration, Data Analytics, Prescriptive Analytics

The Excel Curse and Automation Cure: 3 Reasons to Automate your Data

Posted by Mark Portz on Feb 21, 2017 12:05:00 PM

In the fifth Data Analytics Series BIGcast, Sorting Socks: A Data Automation Conversation with Graham Goble, John Best speaks with Graham Goble of BankBI about financial performance management, reporting, and business intelligence.

The Excel Curse

One primary point of discussion during the podcast is about the use of spreadsheets in comparison to data automation. “The Excel Curse” is certainly not unique to credit unions, but it is absolutely a problem across the industry that requires action. Excel is a powerful tool and serves a number of purposes very well, but advanced analytics for financial institutions is not one of them. Even for a spreadsheet guru, there a several fatal flaws in using such a software as a primary reporting tool in credit unions:

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Topics: Shared Applications, Data Analytics, BIGcast, Data Automation

Descriptive, Prescriptive and Predictive Analytics, Oh My: The CECL Journey

Posted by Mark Portz on Jan 23, 2017 11:06:49 AM

In the third Data Analytics Series BIGcast, The CECL Effect, John Best speaks with Joe Breeden of Deep Future Analytics about CECL, data pooling, and predictive analytics.

The Impact of CECL

As Joe Breeden explains in the podcast, CECL stands for Current Expected Credit Loss, and is the new accounting standard for how financial institutions will set loss reserves. Typically, organizations under $10 Billion assets have utilized moving averages to calculate loss reserves, but this model is backward-looking and will not be acceptable for the new regulations. A moving average model will always set your loss reserves too low moving into a recession and too high moving out of the recession.

When discussing how to meet CECL requirements and create a forward-looking model, Breeden states, “There is a lot of flexibility on how you implement it, but there are two things that are pretty much unavoidable”:

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Topics: Data Pool, predictive analytics, Data Analytics, CECL, BIGcast

8 Steps to Make Data Analytics Work for You

Posted by Peter Keers, PMP on Jan 17, 2017 11:01:00 AM

Credit unions interested in advancing their data analytics efforts will find a wealth of information in a recent article in the McKinsey Quarterly. Simply entitled, “Making Data Analytics Work for You – Instead of the Other Way Around” (Mayhew, Salah, and Williams), the article provides an easy to follow list of steps for any organization to get the most out of their investment in data analytics.

The authors emphasize that improving corporate performance is the only meaningful reason for organizations to pursue data analytics. As a result, they state two important principles:

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Topics: Data Analytics, Structured vs. Unstructured Data, Data-Driven

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You now have more information at hand about your credit union than ever before. But are you using it to "out-think" your rivals? If not, you may be missing out on a potent competitive tool.

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