The Decision Maker

What’s Holding You Back from Being Data-Driven?

Posted by Brewster Knowlton (The Knowlton Group) on Sep 20, 2016 11:08:00 AM

Let’s face it: we live in a world where a strong data and analytics competency is becoming a “must have” for successful companies. Despite the growing significance of analytics, the majority of banks and credit unions are not “data-driven” organizations.

We’ve uncovered a number of common reasons why investment in data and analytics has been pushed off or outright rejected. Despite these challenges, most of the common reasons against data and analytics are driven by inaccuracies or misinformation.

In this post, we will address the common pushbacks against data and analytics projects and how to overcome those challenges.

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Topics: Analytic Data Model, Big Data

When Life Gives You Data, Make Information

Posted by Brewster Knowlton (The Knowlton Group) on Aug 30, 2016 12:40:03 PM

 

For starters, yes the title is a terrible play on “when life gives you lemons, make lemonade”.

Bad jokes aside, I hear too frequently how organizations need more and more data. I’m a data guy – I’m all about data. But there is a subtle difference between having more data and more information.

Below is one of my favorite quotes about data:

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Topics: Big Data

Big Data vs. Little Data: Part 1 - Structured and Unstructured Data

Posted by Austin Wentzlaff on Aug 4, 2016 11:06:00 AM

It’s clear now: Data can be one of a company’s most valuable assets if properly stored, managed and analyzed.  What’s unclear to many however, is what data is the most valuable and how to harness the value of each type of data.  There are two main types of data: “Big Data” and “Little Data” or, respectively, unstructured data and structured data. Both types of data can deliver a significant amount of value to a credit union. However, figuring out how to harness each type of data can be a challenge when dealing with the array of different data sources. Finding a healthy balance is key to delivering value without succumbing to analysis paralysis.

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Topics: Big Data, Data

Sharpen Collateral Valuation through Data Integration

Posted by Nate Wentzlaff on Jul 13, 2016 11:30:00 AM

Collateral Valuations are essential while serving members and maintaining a healthy credit union. However, credit unions are relying on inaccurate valuations of their members’ collateral values because of disintegrated data.

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Topics: Data Integration, Credit Unions, Big Data

Financial Landscape Developments: Blockchain’s Impact and FASB’s New CECL Comments

Posted by Austin Wentzlaff on Jun 21, 2016 11:52:37 AM

The financial services industry is being constantly challenged with new regulations and outside threats. Two important developments in the financial world recently that are worth noting are the immense growth in blockchain technology utilization, as well as the impact of the Financial Accounting Standards Board’s (FASB) recent comments on Current Expected Credit Loss (CECL) guidelines. These are both undoubtedly items to keep top-of-mind, as they are impacting institutions from community banks and credit unions to the large banks. 

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Topics: Blockchain, CECL, Big Data

6 Steps to Analytics and the Tools Needed

Posted by Austin Wentzlaff on May 12, 2016 1:05:04 PM

A common misunderstanding with data analytics is how and when the various “tools” are used.  Many think that a great data visualization tool (e.g. Tableau) will solve all of an organization’s problems.  Often overlooked, however, are the many steps it takes for an organization to get from data ground zero to becoming completely analytically proficient.  When it comes to data management and 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:

  1. Data Access – The first step in an analytics strategy is simply getting access to the data necessary for analytics. Although this may seem like a fairly easy task, credit unions may find it difficult to get access to the data they are looking for.  It may be due to the level of skill needed to the extract the data or due to a vendor’s unwillingness to provide the data.  Whatever the challenge might be, data access is an extremely important task in becoming analytically proficient and will need to be tackled right away.
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Topics: Big Data, Blockchain, Data Analytics

of CUSOs And Big Data

Posted by Chris Howard (Callahan & Associates) on Apr 25, 2016 12:00:00 PM

More than a few folks in recent months have pushed back a bit on one of our 6 Big Ideas for 2016, “Disruptive Collaboration.” The gist of the critique is that the CUSO model works just fine as it is.  And it does, to a point. It’s one of the great wonders of the credit union movement, one of our greatest assets, and the source of immense potential competitive advantage. 

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Topics: Big Data, CUSO

The Fed is Data-Driven; What Drives Your Credit Union?

Posted by Nate Wentzlaff on Apr 14, 2016 11:30:00 AM

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In the last few FOMC meetings, the Federal Reserve has emphasized it will only act according with economic data. The same data that the Federal Reserve utilizes to make data-driven decisions are available to every credit union. 

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Topics: Big Data, Data Analytics

Saving Small Credit Unions with Big Data

Posted by Nate Wentzlaff on Mar 30, 2016 1:00:00 PM

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Topics: Credit Unions, Big Data

Fintech Startups and Smartphone Adoption Drive Banks and Credit Unions to Innovate

Posted by Paul Ablack on Feb 25, 2016 11:00:00 AM

At the October 2015 Credit Union Big Data/Analytics Conference (now Analytics and Financial Innovation Conference) in Minneapolis, John Best, CEO of Best Innovation Group and a well-known technology innovator in the credit union industry, presented a compelling vision about the disruptive threat facing banks and credit unions right now:

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Topics: Credit Unions, Big Data, Data Analytics