Domo Case Studies Texas Tech Credit Union Delivers a Smarter Member Experience With Domo

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	Texas Tech Credit Union Delivers a Smarter Member Experience With Domo Domo

Texas Tech Credit Union Delivers a Smarter Member Experience With Domo

Domo

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Predictive Replenishment
Services	Data Science Services
Challenge	Before Domo, Texas Tech Credit Union (TTCU) struggled to leverage its customer data in a way that would allow it to make agile business decisions required to keep pace with customer needs. The credit union had multiple data sources, which could introduce discrepancies. It was hard for people to trust data, and everything took longer. They could get a request for a field or a new piece of information and then have to work for eight hours to bring that piece of data into a visualization because most people don’t want to look at rows and columns. TTCU also had to compete against well-funded national banks, scrappy fintechs, and other local financial institutions, and it had to leverage data if it hoped to break through the noise of the market. Read More
About Customer	Headquartered in Lubbock, Texas, Texas Tech Credit Union (TTCU) focuses on serving the financial needs of more than 30,000 healthcare professionals, educators, and their families throughout the region. The credit union has used Domo to build a data-driven culture that allows it to provide the highest level of support and service possible. TTCU is committed to making its members matter and prioritizes everything from its marketing investments to product mix to customer support initiatives. The credit union also competes against well-funded national banks, scrappy fintechs, and other local financial institutions, and it leverages data to break through the noise of the market. Read More
Solution	Thanks to Domo, TTCU is able to bring all its data together so that employers can get impactful insights at speed and scale. They now tell the story better for the people who are interested in the back end of the data, but then they’re able to tell so many more stories because it’s so much more efficient at processing the data. Using Domo, TTCU built a robust member engagement model it uses to prioritize everything from its marketing investments to product mix to customer support initiatives. The model creates a score based on how members use each product, allowing the credit union to understand how engaged each customer is and why. With this information, TTCU can then offer additional services and support that the member will most likely appreciate. TTCU also uses Domo to measure the performance of its consumer loans and mortgages, two of the most important services the credit union provides its members. By using data to measure and visualize all its lending commitments, the credit union is able to keep up with the needs of the fast-growing region. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Predictive Replenishment

Services

Data Science Services

Challenge

Before Domo, Texas Tech Credit Union (TTCU) struggled to leverage its customer data in a way that would allow it to make agile business decisions required to keep pace with customer needs. The credit union had multiple data sources, which could introduce discrepancies. It was hard for people to trust data, and everything took longer. They could get a request for a field or a new piece of information and then have to work for eight hours to bring that piece of data into a visualization because most people don’t want to look at rows and columns. TTCU also had to compete against well-funded national banks, scrappy fintechs, and other local financial institutions, and it had to leverage data if it hoped to break through the noise of the market.

About Customer

Headquartered in Lubbock, Texas, Texas Tech Credit Union (TTCU) focuses on serving the financial needs of more than 30,000 healthcare professionals, educators, and their families throughout the region. The credit union has used Domo to build a data-driven culture that allows it to provide the highest level of support and service possible. TTCU is committed to making its members matter and prioritizes everything from its marketing investments to product mix to customer support initiatives. The credit union also competes against well-funded national banks, scrappy fintechs, and other local financial institutions, and it leverages data to break through the noise of the market.

Solution

Thanks to Domo, TTCU is able to bring all its data together so that employers can get impactful insights at speed and scale. They now tell the story better for the people who are interested in the back end of the data, but then they’re able to tell so many more stories because it’s so much more efficient at processing the data. Using Domo, TTCU built a robust member engagement model it uses to prioritize everything from its marketing investments to product mix to customer support initiatives. The model creates a score based on how members use each product, allowing the credit union to understand how engaged each customer is and why. With this information, TTCU can then offer additional services and support that the member will most likely appreciate. TTCU also uses Domo to measure the performance of its consumer loans and mortgages, two of the most important services the credit union provides its members. By using data to measure and visualize all its lending commitments, the credit union is able to keep up with the needs of the fast-growing region.

Impact #1	TTCU is able to bring all its data together so that employers can get impactful insights at speed and scale.
Impact #2	TTCU built a robust member engagement model it uses to prioritize everything from its marketing investments to product mix to customer support initiatives.
Impact #3	TTCU can then offer additional services and support that the member will most likely appreciate.

Impact #1

TTCU is able to bring all its data together so that employers can get impactful insights at speed and scale.

Impact #2

TTCU built a robust member engagement model it uses to prioritize everything from its marketing investments to product mix to customer support initiatives.

Impact #3

TTCU can then offer additional services and support that the member will most likely appreciate.

Benefit #1	The credit union now processes about $4 million in loans per loan officer per month, up from $400,000 a month per loan officer before.

Benefit #1

The credit union now processes about $4 million in loans per loan officer per month, up from $400,000 a month per loan officer before.

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Overview

Texas Tech Credit Union Delivers a Smarter Member Experience With Domo

Operational Impact

Quantitative Benefit