Redstone Federal Credit Union case study
Incorta powers fast, flexible and autonomous data science at Redstone Federal Credit Union
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
Accelerated query response times
Queries return results in sub-second response times — even highly complex queries sourcing data from multiple internal and externa
THE CHALLENGES
Fragmented data was holding back BI 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.
THE 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.
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?
