Redstone Federal Credit Union Case Study
FAST MOVERS
Incorta Powers Fast, Flexible and Autonomous Data Science at Redstone Federal Credit Union
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Fast Deployment—and Even Faster Data Integration
Redstone deployed Incorta in just a matter of days and then pulled in 13 million records from its Fiserv core banking system in a mere 43 seconds.
Freedom to Innovate With Data
Redstone’s data science team can move faster and innovate more freely with data because they no longer have to rely on the IT team at every step.
Accelerated Query Response Times
Queries return results in sub-second response times – even highly-complex queries sourcing data from multiple internal and external data systems.
“Incorta is now the data hub for Redstone’s data science department. Our machine learning team works with massive amounts of data and Incorta makes the entire process far more autonomous – and the speed is exponentially faster.”
Raj Prasad
Senior Assistant Vice President for Data Science and Analytics at Redstone Federal Credit Union
Challenge
Fragmented Data Was Holding Back Business Intelligence and Data Science
Redstone Federal Credit Union wanted to leverage data to gain more visibility and control over banking operations, and ultimately deliver more value to its members. But fragmented data spread across a patchwork of systems and applications prevented the credit union from making the headway it desired.
Solution
A Fast, Flexible Unified Data and Analytics Platform
Incorta is the “data hub” for Redstone’s data science team, which leads the credit union’s machine learning efforts. With Incorta, data scientists can independently organize and join complex data, build schemas and create new dashboards – all without burdening IT.
Results

Fast, Agile and Autonomous Data Science
Using the Incorta-powered data hub, Redstone’s data scientists are building smarter predictive models and providing more timely, relevant, and useful data insights to teams across the organization – all without needing to burden IT.

Cross-Team Collaboration
Incorta’s unified data and analytics platform brings everyone together on the same platform, making it easier for data scientists to partner with subject matter experts when investigating business questions and anomalies, such as spiking credit default rates in the early days of the Covid-19 pandemic.

Clearer Answers to Complex Questions
When users no longer have to predefine the scope of analytical inquiries, they are empowered to uncover new and unexpected insights to complex questions. For example: Why are particular credit cards inactive? Why was there a spike in fraud last month?

Always Getting Better
With Incorta, Redstone’s analysts can iteratively learn the best ways to join data, with every iteration resulting in a re-usable data model that makes the next iteration even faster and more productive.
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Featured Resources
ebook
Data Analytics for Regional Banks and Credit Unions
Read this eBook to learn three ways unified data and analytics can empower regional banks and credit unions to create more value for their customers and members.
press release
Redstone Credit Union Leverages Incorta as Data Hub for Data Science Department to Gain Business Speed and Autonomy
As Redstone nears $10 billion in assets, the company chooses Incorta’s Direct Data Platform for powerful analytics and greater control over their data.
CASE STUDY
Powering Machine Learning with Unified Data Analytics: New Insights for Credit Union Operations
Incorta delivers fast, autonomous insights at Redstone Federal Credit Union – a powerful hub for data science and machine learning.