Teradata Corp.’s focus on hybrid data analytics has extended to the banking world.
Sicredi Confederation, a Brazilian credit union and one of the top ten banks in Brazil, is working with Teradata in association with Amazon Web Services to improve its customer experience. Teradata’s software has led to rapid improvements in Sicrediti’s data management, according to its analysts.
Teradata’s Michael Hutchinson and Matheus Daniel Pierozan talk with theCUBE about how Teradata has changed the bank’s operations.
“If you have a bad prediction of the income information, you will probably offer a product or a service that won’t fit in the client’s needs,” said Matheus Daniel Pierozan (pictured left), senior credit analyst at Sicredi. “This is why it’s so important to have good predictions. In this case, we are trying to predict the client’s income. Just in the first month, we were able to increase the limit consumption to 30% using Teradata.”
Pierozan and Michael Hutchinson (pictured right), chief customer officer of Teradata Corp., spoke with theCUBE Research’s Rob Strechay and co-host Savannah Peterson at Teradata Possible during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Teradata and Sicredi’s collaboration and the importance of hybrid data analytics. (* Disclosure below.)
Faster processing with Teradata’s hybrid data analytics
In recent years, Teradata has leaned into providing hybrid services. Companies and institutions such as Sicredi can bring in their own large language models while still benefiting from Teradata’s advanced data analytics.
“Our job is to provide a platform for customers to come to that is going to be able to handle massive amounts of data,” said Hutchinson. “Our goal is to make sure that we’ve got a platform that’s open (allows you to bring your own model) [and] connected (allows you to connect with other third-party services) to really drive business value … Not only is [Sicredi] doing a much better job serving the customers, but when you look at what they’ve done, they’ve also brought down the risk profile of the bank, which is just hugely important.”
By working with Teradata, Sicredi saw a 40% decrease in time spent to build, test and deploy models, leading to 25x faster model processing, according to Pierozan. Clearscape Analytics, Teradata’s engine for deploying AI/ML pipelines, has been crucial in this regard.
“[Before Teradata], we had an uncalibrated model, codes with low performance; we had no control on data transfer and a limited target group of clients that were being scared by this model, so it was necessary to rethink this process,” Pierozan concludes.
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Teradata Possible:
(* Disclosure: TheCUBE is a paid media partner for Teradata Possible. Neither Teradata Corp., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)