Workshop Title
About the Workshop
About this Course
In this on-demand course go through the data centric sessions from the 6th Annual CULytics Summit where some of the best industry speakers share their wisdom and knowledge around topics like, data transformation, data leverage, data governance and disciplined agility.
What you will Learn
What you will learn
- Understand the concept behind Machine Learning Models.
- Learn to create data analytics ecosystem for critical decision-making.
- Learn to design and execute a complex data warehouse implementation.
- Learn about data governance and its importance.
- Learn how you can leverage your local knowledge with personalized customer intelligence using the right data analytics.
- Learn to create targeted, member-valued products using data and analytics to make better decisions.
Workshop Content
PART1
Predicting Charge off using Machine Learning
A breakdown of machine learning models Decision Tree, Random Forest with comparisons to Vintage Models and recursive linear regression for predicting charge off amounts and likelihood of a charge off for a loan. Each model has strengths and weaknesses when used for budgeting for charge-offs or predicting charge-offs. Understanding the concepts behind the models enables you to make better decisions on implementing the correct model for your organizational needs.
Troy Del Valle
VP, Business Intelligence, Hudson Valley Credit UnionTroy is the VP of BI at Hudson Valley Federal Credit Union. He works with his team in enterprise data warehouse projects, workflow process efficiency, strategic decision analysis and predictive analytics.
PART2
Turning Insights into Action Through Data Analysis
This session will detail the actionable steps ORNL Federal Credit Union has taken to build additional trust and confidence in their data analytics ecosystem for critical decision-making at all levels of the organization. The three major steps include:
- Setting up the infrastructure for a data analytics ecosystem - partnering with Arkatechture for back-end while ORNL focuses on front-end analysis and user adoption
- Establishing Data governance principles, building a team of data stewards from a network of subject matter experts
- Confident decision making with analytical data - sharing successful use case implementations such as the custom ‘Member Interactions Dashboard’
Becky Curry
SVP, Data Intelligence, ORNL Federal Credit UnionBecky began her career in the credit union industry as an accounting specialist. Today, she is the SVP of Data Intelligence at ORNL Federal Credit Union leading the transformation and adoption of modern data and business intelligence applications throughout the organization. Her depth of knowledge comes from years of hands-on experience in a variety of roles throughout the credit union.
PART3
When It Works: One Credit Union’s Multi-Year Journey through Data Transformation
Join Amanda Pelata from Randolph Brooks and Emily Engstrom from AdvantEdge Analytics as they tell the story of one RBFCU's journey into data transformation. Attendees will gain both a high-level and granular look at what it takes to design and execute a complex data warehouse implementation with a strategy-first approach. In addition to best practices for smooth collaboration across multiple vendors. They will also share a few fail-forward lessons every credit union data team can learn from.
Amanda Pelata
Metadata Analyst, Randolph Brooks Federal Credit UnionAmanda's deep history within the organization, beginning in Member Services, provided her the opportunity to transition into IT as a Business Analyst to assist during their conversion from a homegrown banking platform to a new core platform and ancillary software additions. This blend of both front end user experience and also technical systems knowledge has led her to the world of data management.
Emily Engstrom
Director of Client Relations, AdvantEdge DigitalAs the leader of the Client Relations team, Emily provides the critical last piece of the data puzzle for AdvantEdge Analytics clients. Whether credit unions want to use data to better engage with their members, grow wallet share, uncover trends in fraud, better manage lending risk or optimize their marketing channels, they count on Emily and her team to develop an exceptional analytics strategy that deploys their resources efficiently and effectively.
Before joining AdvantEdge Analytics, Emily held a variety of roles with CUNA Mutual Group. She started her career with one of the Midwest’s premier credit unions: $2 billion Summit Credit Union. There she honed her skills in lending, operations, retail branches, and underwriting.
PART4
Data Governance Practice
In this Session learn what Data Governance and why it is important. Also understand the key components of the governed data.
Sunder Srinivasan
Head of Information Management and Data Governance -Ex, Silicon Valley BankSunder Srinivasan is a technology leader with more than 30 years of experience in Banking and Financial services. His primary expertise is in Data Management, Data Governance and Enterprise Analytics.
PART5
How to Leverage Your Data to Win Against National Banks
Community Credit Unions will not “out tech” large banks and fin-techs on their own. The competitive advantage via local, personalized, white-glove service is being diminished as member interactions become more digital. However, with the right partners Community Credit Unions have an opportunity to thrive by re-defining the local experience with digitally transforming how you operate. Learn how you can leverage your local knowledge with personalized customer intelligence using the right data analytics.
Benjamin Smith
BI Analyst, Communication Federal Credit UnionBen Smith has 20 years of experience in the credit union industry in the areas of lending, training and development, marketing, and business intelligence. He currently serves as a Business Intelligence Analyst with Communication Federal Credit Union and specializes in data analytics, report design and dashboard development, targeted marketing campaigns, and data-driven strategic direction. Ben’s passion in the industry is to drive sustainable credit union growth and high-quality member experiences using data analytics as the foundation. Ben is also a proud father, a novice angler, and an avid outdoorsman.
Rich Carlton
President and Chief Revenue Officer, AunalyticsRich Carlton leads Aunalytics as President and Chief Revenue Officer after twenty-five plus years of leadership experience in data and technology-based businesses. Carlton works toward driving the overall organization to meet its purpose of using data and technology to improve the lives of others. He earned a Bachelor of Science degree from the Indiana University Kelly School of Business with a focus in Computer and Information Systems. He has served on numerous boards including a regional bank, health system and many not for profits.
PART6
Member product innovation uncovered with data
You’ve heard the old adage, “the devil is in the details.” Spokane Teachers Credit Union (STCU) realized this first-hand when they delved into their data. The data told them the story of what products their members valued most and what new ones were required. STCU analyzed all the data to make better decisions on what to offer members in the future.
Attend “Member product innovation uncovered with data” to learn how STCU created targeted, member-valued products using data and analytics to make better decisions instead of going by “gut feel.”
Rozalind Kitt
Business Intelligence Manager, STCURozalind Kitt has worked at STCU for nearly 16 years, most of that time with the Data Warehouse in a variety of roles. Rozalind completed her Masters in Data Analytics in 2020 through WGU. She is currently the BI manager, leading ETL Developers and BI Analysts. She has a passion for data and using it to move the Credit Union forward.
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