TAMPA, Fla.–– Trellance is reporting that a partnership between itself and modern data quality platform provider DQLabs is opening the door for more credit unions to “access AI-enhanced solutions to observe, measure, and discover the data and analytics that matter.”
According to Trellance, the DQLabs platform eliminates data silos by centralizing data quality efforts into a single, AI-driven platform. It employs machine learning and smart automation to enable user communities of all types to collaboratively remediate data quality issues, accelerating time to value and resulting in improved business outcomes, the CUSO added.
“For credit unions to truly achieve the modern data stack, they need to employ a new approach to their ecosystem that scales with their needs, delivers the data that matters, and accelerates the speed at which they can access data to keep up with the pace of innovation,” said DQLabs CEO and Founder Raj Joseph. “Better integration among technology partners makes it simpler and more cost-effective to adopt increasingly advanced tools, and with each step in this direction, credit unions fortify their position in the competitive financial services market.”
Trellance said that its M360 business analytics platform combined with the DQLabs modern data quality platform enables credit unions to manage growing volumes of data with greater precision and accuracy.
A ‘Single Source’
“The partnership is another important step towards Trellance’s goal of making its M360 platform the single source of trusted enterprise data,” Trellance said.
“A credit union’s competitiveness is dependent on the quality of the data it collects, integrates, and uses to derive insights. It is a major challenge for any organization to achieve this at scale, which is why we’re so pleased to make the DQLabs solution more widely available to the credit union industry.”
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