The Decision Maker

The Next Big Idea for the Credit Union Industry

Posted by Paul Ablack on Feb 23, 2015 11:11:57 AM

The credit union industry is on the cusp of significant challenges with the potential to disrupt the financial services landscape as we know it. Big Data and Analytics is driving a new breed of competitor into what has been a very traditional marketplace. The industry will need to envision and build out the “Next Big Idea” for credit unions to stay competitive and successfully navigate the next 10 years.

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Topics: Business Intelligence, Big Data, Credit Unions, Data warehouse, Data Integration, Data Pool, Big data/analytics, predictive analytics, CUSO, Cooperation

5 Steps for Making Analytics Work

Posted by Austin Wentzlaff on Feb 16, 2015 11:29:00 AM

Analytics is top-of-mind for many credit union executives. Yet, as with all new technologies, there is a concern that it won’t work.  The concern is well justified.  There are many technologies that promise to make organizations more successful but fail to yield much for the company besides higher cost every month. 

The failure of these technologies isn’t always the fault of the technology itself or the company providing the technology. Rather, it is the failure to properly integrate the new technology into the organization.  In the case of analytics, there are several factors that will make or break the technology.  Here are 5 factors to consider when implementing analytics:

  1. Integrate Analytics Across the Organization
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Topics: Analytics, Data warehouse, Data Integration, Big data/analytics, data integrity

The Foundation of Credit Union Excellence

Posted by Nate Wentzlaff on Feb 9, 2015 12:00:00 PM

In an industry where data is the most valuable asset, data integrity is essential. Building a successful credit union begins with data integrity.

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Topics: Data warehouse, Data Integration, Decision Support, data integrity

How Credit Unions Can Leverage Big Data [Video]

Posted by Austin Wentzlaff on Feb 5, 2015 11:30:00 AM


 OnApproach's Founder and CEO Paul Ablack discusses today's evolution of Big Data and how credit unions can benefit from this increasingly refined information to provide more specific products and services for enhanced value.

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Topics: Reporting and Analytics, Analytics, Mobile Banking, Business Intelligence, Big Data, Credit Unions, Mobile Payments, Data warehouse, Data Integration, Marketing, Data Pool, Video, Mobile, Shared Applications, Big data/analytics, predictive analytics, Lending Clubs, Cooperation, Podcast

Big Data/Analytics: The Curse of the Black Box

Posted by Peter Keers, PMP on Jan 29, 2015 12:11:00 PM

Credit unions seeking to improve their Big Data/Analytics capabilities face a classic choice: build (DIY) or buy?

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Topics: Data warehouse, Data Integration, Big data/analytics

Analytics Tools: Cultivating the “Data Wilderness”

Posted by Nate Wentzlaff on Jan 22, 2015 2:47:20 PM

The credit union industry is living in a wilderness of untamed data.  Cultivating this “data wilderness” will require a vast array of analytics tools.

Credit unions are in the middle of an information revolution.  As data becomes cheaper and easier to store, it is growing exponentially.  This phenomenon is known as Big Data, and it is creating a thick wilderness for credit unions to clear.  However, with the right mix of analytics tools and strategy this data growth can be leveraged.  By transforming the wilderness into a field, credit unions can plant an abundance of new products and services.  Similar to a farmer tilling his land, credit unions have the opportunity to leverage analytics tools to cultivate their data for a financial harvest.

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Topics: Analytics, Data Integration

The “Yin and Yang” of Credit Union Reporting/Analytics Software: 3 Factors to Consider

Posted by Paul Ablack on Jan 8, 2015 12:34:07 PM

As a veteran of the Business Intelligence (BI) industry, which is now being eclipsed by Big Data and Analytics, I have witnessed many organizations looking for the “perfect BI software”.

For at least a decade now, BI software companies have been striving for leadership in the coveted Gartner Magic Quadrant for Business Intelligence. The Magic Quadrant evaluates BI software vendors on two dimensions: (1) Completeness of Vision and (2) Ability To Execute. While these two dimensions do provide very good insight into the capabilities of each vendor’s product offering, they don’t tell the whole story.

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Topics: Reporting and Analytics, Data warehouse, Data Integration, Big data/analytics

Big Data/Analytics Solutions: The Missing Link

Posted by Austin Wentzlaff on Dec 17, 2014 12:00:00 PM

When starting your Big Data/Analytics journey, there are many project characteristics to consider.  The first, before considering analytics, is how to integrate all of the data into a “single source of truth.”  That is, how to design a data warehouse that will fulfill your needs and integrate all the necessary disparate data sources at your credit union.  

A true enterprise data warehouse requires a significant amount of planning and a robust architecture to meet the needs of the end users. The architecture seen most fit for the complex nature of credit union data sources is the star schema developed by Ralph Kimball.  While this might be one of the best solutions for credit unions, architecturally speaking, it presents a few challenges that hinder the desired end result, reporting and analytics.

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Topics: Reporting and Analytics, Analytics, Data warehouse, Data Integration

“I Know It When I See It” - 3 Essentials for Effective Business Intelligence Requirements

Posted by Peter Keers, PMP on Oct 15, 2014 11:30:00 AM

Supreme Court Justice Potter Stewart famously said about obscenity, "I know it when I see it". This often seems to be the case with many credit union decision makers when asked to define Business Intelligence (BI) requirements.

Consider this common scenario: an innovative credit union executive champions the BI concept. The executive points out all the flaws in organization’s current reporting and analytics. Then, showing examples of how BI is revolutionizing performance in other industries, secures budget dollars for a BI initiative.

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Topics: Reporting and Analytics, Business Intelligence, Credit Unions, Data warehouse, Data Integration, Budgeting

4 Reasons for a Scalable Data Warehouse

Posted by Nate Wentzlaff on Oct 13, 2014 10:48:00 AM

Meeting the rapidly changing data requirements necessary for today’s economy and allowing credit unions to adapt.

Scalable data warehouse architecture is vital for the Credit Union Movement.  It gives credit unions the ability to flexibly change and add data to their data warehouse (DW).  With a constant flood of technological innovations and regulatory changes, credit unions are continually being bombarded by new data requirements.  Regulators, business executives, IT and other stakeholders are constantly requiring deeper analyses of the data residing within the credit union.  As software companies are able to process increasing amounts of data, credit unions have access to enormous amounts of data.  However, this influx of data can be disastrous if the DW within the cre
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Topics: Business Intelligence, Big Data, Credit Unions, Data warehouse, Data Integration

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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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