The Decision Maker

The CCPA and GDPR: How These Emerging Privacy Laws will Impact the Credit Union Industry: Part II

Posted by Alex Beversdorf on Apr 9, 2019 11:02:00 AM

In the first part of this blog, we discussed technology regulation and updates regarding the legislation. With that covered, Part II will focus on what it means for your credit union and how you can prepare for the changes. 

How the CCPA Will Change the Competitive Landscape in the US

The CCPA won’t apply to all companies but will apply to a great majority, especially if one of these three thresholds are met:

  • Gross annual revenues in excess of $25 million
  • Buys, receives, sells or shares the PII of 50,000 or more consumers, households or devices for the business’s commercial purpose
  • 50% or more of the businesses annual revenue comes from selling consumer’s PII

If any of the above conditions are met, the marketers of the effected company have a great deal of work to do. Especially if they have no business tactic or strategy in place to organize all of their customer specific data. To comply with the CCPA, marketers must be able to organize and develop an efficient data scheme that compiles all of their consumer data. Consumers have the right to:

  • Know what PII is being collected regarding them
  • Know whether that is being sold and to whom
  • Say no to the sale of their PII
  • Access their own PII
  • Equal service and pay from the company, even if they exercise their own privacy rights and it requires more work to be done on the side of the business
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Topics: Data Integration, Membership, Digital, Data Ownership

The CCPA and GDPR: How These Emerging Privacy Laws will Impact the Credit Union Industry: Part I

Posted by Alex Beversdorf on Mar 28, 2019 11:54:00 AM

We are in the era of digital transformation. A time where data is being collected at exponentially growing rates all around us. A wide variety of businesses and institutions, including credit unions, have been collecting personal data on their customers/members for quite some time now. How can you receive any benefit from all of this available data? The answer lies in the use of Big Data Analytics. Big Data is used to help analyze extremely large data sets to identify patterns, trends and associations in human behavior. This method of analyzing data is very versatile and proving to become one of the most sought-after tools of today.

This has made the overall collection of consumers data much easier and more widespread. This is also commonly referred to as Personally Identifiable Information (PII) and the influx of access to it has raised some concerns. Common questions include: What data is being collected? How has it been collected? What is it being used for? Which third parties have access to it? And, how much control do we have over our own data?

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Topics: Membership, Digital, Data Ownership

Leveraging Data to Create Exceptional Member Experiences at Ideal Credit Union [VIDEO]

Posted by Mark Portz on Apr 17, 2018 1:02:00 PM

 

MnCUN Interviews: Ideal CU and OnApproach Work Together to Leverage Data Analytics' Potential... from CUbroadcast on Vimeo.

At the Minnesota Credit Union Network (MnCUN) Annual Conference, Paul Ablack, CEO, OnApproach and Alisha Johnson, Executive Vice President of Operations for Ideal Credit Union, joined Mike Lawson, Host of CUbroadcast, to discuss data access, member profitability, member engagement, data lakes, timely and targeted marketing, chatbots, real-time analytics, and credit union collaboration.  

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Topics: Video, Membership, Analytic Data Model, Case Study

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: Membership, Data Analytics, Leadership, Data-Driven

Building Member Risk Scores with Data Analytics

Posted by Nate Wentzlaff on Aug 12, 2015 10:59:00 AM

Many credit unions rely solely on FICO scores for their lending decisions.  Data analytics now gives them the ability to develop their own forward-looking member risk scores.

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Topics: Big Data, Membership, Data Analytics

6 Steps to Develop Member-Centric Models

Posted by Nate Wentzlaff on Jul 22, 2015 11:11:08 AM

As financial technologies become more complex, credit unions must design their business and data models around the member.

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Topics: Big Data, Membership, Analytic Data Model, Data Analytics, Collaboration

Contact Analytics: Going Beyond the Call Center

Posted by Nate Wentzlaff on Jun 10, 2015 12:00:00 PM

As digital strategies continue to proliferate throughout the credit union industry, the contact center has become essential.

Calling a company about an issue can be a miserable experience.  Being transferred to four departments and having to explain an issue, not to mention basic account information, four different times will frustrate the most patient consumers.  These experiences have given the call center a bad image in the minds of consumers.  Stereotypes of call center agents who do not speak fluent English failing to understand a problem have been burned into the American culture.  However, the necessity for remotely assisting consumers has never been greater.  Redesigning the call center into a contact center will enable credit unions to give their members excellent service.   It will also empower credit unions to continue learning about their members through every interaction.

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Topics: Membership, Analytic Data Model, Data Analytics

6 Steps To Deliver Omni-Channel Experiences

Posted by Nate Wentzlaff on May 18, 2015 11:00:00 AM

In an age of increasingly complex relationships, members expect an omni-channel relationship with their credit union.

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Topics: Marketing, Membership, Data Analytics, Digital

Why Your Members Don’t Need You

Posted by Austin Wentzlaff on Apr 6, 2015 11:56:54 AM

Consumers, particularly millennials, are becoming less interested in meeting actual people to solve their problems and more interested in doing it themselves.  With the rise of the internet, information is readily available to all.  This allows consumers to search and find solutions to meet their needs in a matter of seconds.  This is a tremendous opportunity for consumers but it is also a serious challenge for retail institutions.  This is especially true for retail financial institutions such as community banks and credit unions.

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Topics: Big Data, Membership, Data Analytics, Digital

6 Steps to Develop a Data-Driven Vision

Posted by Nate Wentzlaff on Mar 19, 2015 12:30:00 PM

As an industry in the middle of a massive shift, credit unions must steer in the best direction to enter a prosperous future.

The Financial services industry has traditionally been an industry where change happens gradually at the direction of a few large institutions.  Since the introduction of the internet in the 1990’s, finance has been in a state of exponential change.  The digitalization of money is causing an even more powerful catalyst of change: the proliferation of data at a pace most credit unions cannot fathom.  Consequently, credit unions must form a data-driven vision to act as a strong rudder to navigate through the data storm.

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Topics: Big Data, Data Integration, Membership, Data Integrity, Data Analytics, Collaboration