The Decision Maker

How Credit Unions Can Win the Big Data Play

Posted by Robert McGarvey on Jul 2, 2018 12:47:00 PM

Ask executives at the money center banks how they plan to win, against both fintechs and smaller institutions like credit unions, and they smirk as they say two words, big data.

Big data is today’s magic.  How does Amazon knows what book you want to read next, or what music you want to buy, or when you are about to run out of cat treats? Those are simple examples but the answer is big data. Amazon crunches a lot of data, in a blink of an eye, and it knows what you want, maybe before you know.

The race now is on inside financial institutions to crunch lots of data and to achieve similar predictive intimacy about their customers and members. 

Read More

Topics: Data Lake, Data Ownership, Big Data, Data Pool, Collaboration, Analytic Data Model

Data “De-Identification”: The Stairway to Big Data Heaven

Posted by Peter Keers, PMP on Feb 13, 2018 12:03:00 PM

Credit union interest in Big Data is at an all-time high. The promise of predictive analytics and other Big Data opportunities will be a key part of helping the industry compete more effectively with traditional banks and fintech upstarts.

Read More

Topics: Encryption, Security, Collaboration, Big Data, Digital

Lagging Contenders: How Credit Unions Can Catch Up in Data and Analytics - Part 2

Posted by Peter Keers, PMP on Aug 15, 2017 10:16:00 AM

This is Part 2 of 2 in a blog series on how credit unions can catch up in data and analytics. In Part 1, we discussed which questions credit unions need to be asking to get off the bench, the issue with data silos, and what it will take to move forward with data analytics. In Part 2, we will further discuss the concept of big data, staffing for data analytics, and creating value from the data.

"A recent McKinsey & Company report emphasizes the fact that many industries are achieving only a fraction of their “digital potential”. However, the report observes, “In the United States, the information and communications technology sector, media, financial services, and professional services are surging ahead…”. This means other players in the marketplace served by credit unions have a big head start.

Credit unions that have been sitting on the sidelines can wait no longer. To get off the bench, these organizations need to ask:

  • What are the basic questions about the organization’s strategic direction that cannot be answered today?
  • How can existing data be better “generated, collected, and organized”?
  • What data outside the organization would be useful?
  • What skillsets are missing internally and to what degree can they (or should they) be outsourced?
  • Once “insights” are uncovered from analytics, what are the practical steps to leveraging them to create value?"
Read More

Topics: Digital, Data, Big Data

Building for the Future

Posted by Michael Cochrum on Apr 5, 2017 11:15:00 AM

When my brother and I were kids, we liked to build things. We built forts, ramps and anything else we could fashion out of scrap wood.  Typically, our projects served a specific function, to ward off rival “street gangs” of preteens from another block, to propel our dirt bikes into the air, or whatever else we decided could or would result in our becoming temporarily disabled.  We thought we were good builders, but the greatest evidence that we were not, is that our work does not exist in any form today.

Read More

Topics: FinTech, Big Data, Analytic Data Model

CU Analytics and Collaboration on CUbroadcast at CUNA GAC [VIDEO]

Posted by Mark Portz on Mar 21, 2017 12:02:00 PM

 

Read More

Topics: AXFI Conference, Collaboration, Big Data

Big Data vs. Little Data: Part 2 - The Steps to Data Analytics Mastery

Posted by Austin Wentzlaff on Feb 14, 2017 11:03:00 AM

In my previous blog, Big Data vs. Little Data: Part 1 - Structured and Unstructured Data, I discussed the two main types of data that should be top of mind for any organization thinking of becoming truly “Data-Driven.” In the world of data and data analytics, credit unions must leverage ALL the data accessible to them but the journey of mastering data analytics can be very tricky.

Determining the right tools will be critical.  When it comes to data and data analytics, the order in which you introduce new tools is extremely important.  In order to make each step up the analytics curve effective as the last, credit unions must consider the following steps:

Read More

Topics: Big Data, Data, Data Analytics

Top 5 (and 5 most missed) of 2016: Credit Union Big Data and Analytics – Part 2

Posted by Mark Portz on Jan 4, 2017 11:01:00 AM

As 2016 draws to a close, it is time to look back on all that we’ve learned, and apply it to better our organizations for 2017. The credit union industry is rapidly changing as financial institutions are gaining better understandings of the necessity to optimize analytics and become truly data-driven organizations. As 2016 comes to a close, I have taken the liberty of compiling some of the industry’s favorite Big Data & Analytics related articles (and some you may have missed) from OnApproach’s blog, The Decision Maker. This is part two of two and features the top 5 articles you may have missed in 2016. Click here to see Part One highlighting the most popular blogs of the year. Enjoy!

Read More

Topics: Big Data, Data Analytics

Top 5 (and 5 most missed) of 2016: Credit Union Big Data and Analytics – Part 1

Posted by Mark Portz on Dec 29, 2016 12:39:55 PM

As 2016 draws to a close, it is time to look back on all that we’ve learned, and apply it to better our organizations for 2017. The credit union industry is rapidly changing as financial institutions are gaining better understandings of the necessity to optimize analytics and become truly data-driven organizations. As 2016 comes comes to an end, I have taken the liberty of compiling some of the industry’s favorite Big Data & Analytics related articles (and some you may have missed) from OnApproach’s blog, The Decision Maker. This is part one of two and features the most read pieces of 2016. Click here to see Part Two highlighting the some good reads you may have missed over the year. Enjoy!

 

The Top 5 Favorites:

Read More

Topics: Big Data, Data Analytics

Big Data and Analytics can do some pretty cool things for Credit Unions

Posted by Mark Portz on Nov 17, 2016 11:04:00 AM

Last week, OnApproach’s CEO, Paul Ablack discussed Big Data and Analytics with CUNA’s Senior Editor, Craig Sauer. In the podcast, we learn about the state of the credit union industry, what data means for financial institutions today, and how credit unions can thrive in an industry facing intense fintech disruption.

“95% of credit unions today are not able to truly integrate their data”, according to Ablack. Core vendor solutions do not allow credit unions to easily integrate data from disparate sources, or share and benefit from data of other credit unions. This means 95% of credit unions are at the bottom of the curve for analytics capabilities. As discussed in the podcast, less than 10% of credit union members are profitable. Unfortunately, credit unions at the bottom of this curve aren’t even capable of determining which members are not profitable, as factors such as product mix have proven to be an outdated and misleading determinant. Credit unions need to take action to integrate data and improve analytics to seize market opportunities.

Read More

Topics: Credit Unions, Big Data, Data Analytics

How Credit Unions can Achieve Big Data without Big Costs

Posted by Mark Portz on Oct 18, 2016 11:00:35 AM

By now, credit unions are aware of the industry’s changing landscape. Credit Unions are facing Fintech influence, industry disruption, and realize it is no longer an option, but a necessity to capture and optimize every piece of obtainable data to remain competitive in financial services. Large banks have been investing heavily in big data and continue to do so. Unfortunately, these banks are directly competing with credit unions, which don’t have the same resources available to effectively invest in big data. Awareness is step one, but one state is taking action to put the power of big data in the hands of credit unions.

Read More

Topics: Collaboration, Big Data