Active Beta

What is “Active Beta”?

A Collaborative Beta Project for Credit Union Executives

Tools Currently in Active Beta

  • #1210:  Self Directed Data Floods
  • #1310:  Library Statistics Dashboard
  • #1315:  Why your Members Call
  • #1670:  Loan Productivity Analysis Dashboard

How can we get tools to your desk faster, especially tools which are better tested in a real-world environment than in a controlled laboratory?  Even more importantly, how can we tap the wealth of knowledge and experience held by your teams, to help us make better products for all our partner credit unions?

Welcome to Active Beta, our solution to increase speed to market on our most valuable toolkits, while engaging our cooperative Network for real-world testing, feedback, and vision.  For projects in Active Beta, we conduct a minimal amount of basic testing and quality assurance pre-release reducing our development time, getting tools in our Credit Union’s hands much quicker.  You’ll have a period of time to use and value from these dashboards with your live member data, providing comments and recommendations along the way.  Your feedback is much more than glitch reporting.  We rely on you to give us unique insights in how these tools can best integrate into your existing operations, maximizing value to the credit union, and ultimately transforming a tool into a valuable workhorse your teams will WANT to use each day.

What should I do differently when using an Active Beta Feature?

Staying alert, and thinking critically while using an Active Beta feature are both best practices we’d recommend that you implement.  CU*BASE is such a dynamic environment, where each credit union has slightly different vendor relationships, service providers, product and service configurations, and everything else which makes each credit union unique.  It would be virtually impossible to test functionality of each tool using each unique combination of vendor relationships and product and service configurations, effectively increasing our testing costs while reducing effectiveness. Most commonly, we see specific product or vendor compatibility issues being identified during our active beta periods.

Staying alert, and thinking critically of the data presented can help identify these potential short-comings in an active beta feature.  Should you notice any if these situations, or have any other comments or recommendations on an Active Beta tool we want to hear from you.  Please be sure to report all issues, comments, or recommendations you have on our Active Beta features so your feedback is heard and addressed.

How do I provide feedback on tools in Active Beta?

Use the Active Beta Improvement Submission Form to provide Active Beta feedback will ensure that your comments get routed to the Asterisk Intelligence team for research, review, and if needed escalation to programming.  We rely on these comments for the continued improvement on these features, as well as the eventual graduation out of Active Beta status.

Active Beta Improvement Submission Form

How long are tools kept in an Active Beta status?

Our goal is to graduate tools out of Active Beta within 6 months of the original release date.  However, graduation is dictated by confidence and functionality, not an arbitrary amount of time.  We review tool usage statistics on Active Beta features.  If after 6 months, we feel that usage and client feedback has not been sufficient to graduate the tool, additional time and efforts will be taken to increase tool usage and testing initiatives prior to graduating the tool out of Active Beta status.

Want to learn more about Active Beta?  Contact us at AI@cuanswers.com

Updated
October 16, 2019

Proving Data Strategies: Transactional Analysis

Proving Data Strategies: Transactional Analysis

How has your members’ transactional behavior changed over the last 3, 6, or 12 months?  How are members utilizing their credit and debit cards, digital channels or your teller line to conduct their business?  Analyzing transaction activity can provide excellent insights into member engagement with the credit union, provide clues indicating financial distress, as well… Read more »

Sep 24, 2020

Don’t Miss This Week’s Proving Data Strategies: Analyzing Plastics Portfolios

Don’t Miss This Week’s Proving Data Strategies: Analyzing Plastics Portfolios

Plastics portfolios can be analyzed from a few angles – 1) Plastics as a member tool, or 2) The financial impact to your credit union.  Learn how to review your portfolio’s member activity to trend the activity over time and identify inactive users.  Measure seasonal or situational impact to transaction volumes and consider options for… Read more »

Sep 14, 2020

Asterisk Intelligence completes research analysis for Cumberland County FCU

Asterisk Intelligence, a data analytics team at CU*Answers, has completed a research analysis that evaluates changes in fee refunds and fee waivers to explain and confirm the historical fee income trend. The analysis was commissioned by Cumberland County FCU. A typical research analysis starts with an anomaly or unexpected finding noticed in the credit union’s […]

Sep 14, 2020

Proving Data Strategies: Analyzing Plastics Portfolios

Proving Data Strategies: Analyzing Plastics Portfolios

Plastics portfolios can be analyzed from a few angles – 1) Plastics as a member tool, or 2) The financial impact to your credit union.  Learn how to review your portfolio’s member activity to trend the activity over time and identify inactive users.  Measure seasonal or situational impact to transaction volumes and consider options for… Read more »

Sep 9, 2020

Don’t Miss This Week’s Proving Data Strategies: Analyzing Non-Interest Income

Don’t Miss This Week’s Proving Data Strategies: Analyzing Non-Interest Income

Non-interest income is an essential factor to evaluate when studying the credit union’s income streams and the impact of policy changes.  What is the trend on total income for each source of non-interest income?  Is any source yielding less than normal and is that expected?  How have recent fee waiver policy (or configuration) changes impacted… Read more »

Aug 31, 2020

Asterisk Intelligence unveils online & mobile banking dashboard

Asterisk Intelligence, a data analytics team providing business intelligence consulting, fulfillment, and educational services to credit unions, recently released a new operational dashboard proving insights into online and mobile banking channels within CU*BASE®, CU*Answers’ core data processing application. The online and mobile banking dashboard provides enhanced insights into digital channel utilization by credit union members. […]

Aug 28, 2020

Proving Data Strategies: Analyzing Non-Interest Income

Proving Data Strategies: Analyzing Non-Interest Income

Non-interest income is an essential factor to evaluate when studying the credit union’s income streams and the impact of policy changes.  What is the trend on total income for each source of non-interest income?  Is any source yielding less than normal and is that expected?  How have recent fee waiver policy (or configuration) changes impacted… Read more »

Aug 26, 2020

Asterisk Intelligence unveils lending opportunities dashboard

Asterisk Intelligence, a data analytics team at CU*Answers, which provides business intelligence consulting, fulfillment, and educational services to credit unions, recently released a new lending opportunities dashboard within CU*BASE, CU*Answers’ core data processing application. The lending opportunities dashboard leverages operational data such as members’ product and service participation, credit bureau information, and individual account characteristics, […]

Aug 24, 2020

Don’t Miss This Week’s Proving Data Strategies: Analyzing Membership Growth and Composition

Don’t Miss This Week’s Proving Data Strategies: Analyzing Membership Growth and Composition

Evaluating the trends of membership growth, plus demographics and composition of memberships gained and lost can provide a well-rounded understanding of your membership base, both recently and historically.  What is my rate of net membership growth (or loss)?  Am I gaining more organizational memberships?  Am I gaining more members in certain age groups?  How long… Read more »

Aug 17, 2020

Proving Data Strategies: Analyzing Membership Growth and Composition

Proving Data Strategies: Analyzing Membership Growth and Composition

Evaluating the trends of membership growth, plus demographics and composition of memberships gained and lost can provide a well-rounded understanding of your membership base, both recently and historically.  What is my rate of net membership growth (or loss)?  Am I gaining more organizational memberships?  Am I gaining more members in certain age groups?  How long… Read more »

Aug 12, 2020