A recent press release states, “As a leading provider of data cleansing solutions, Naveego enables organizations to proactively manage, detect and address data accuracy issues across all enterprise data sources in real-time–regardless of structure or schema. To best support their cloud-based, distributed architecture, Naveego chose Oracle Cloud Infrastructure to advance its goal of becoming the leader in cleansing datasets used to train AI and machine learning applications. Naveego selected Oracle because they were looking for a trusted, collaborative partnership that would grow alongside their business. The cloud-native enterprise-scale business needed a reliable partner to help them compute and store agnostic data in multiple formats from multiple distributed sources. From the time Naveego selected Oracle Cloud Infrastructure to full migration was only 30 days, and the company has already realized a 60 percent cost saving compared to their previous AWS solution, driven mainly by lower compute and network charges.”

The release continues, “Providing cloud-native data integration with built-in data quality controls, Naveego collects, manages, and connects data in all formats, driving the consistency and accuracy needed for effective analytics. This uniquely includes cleansing legacy data and reconfiguring it into a functional format. ‘Oracle Cloud Infrastructure is purpose-built to handle enterprise workloads quickly and securely,’ said Vinay Kumar, vice president, product management, Oracle Cloud Infrastructure. ‘Naveego’s data integration and cleansing platform requires a strong partner that delivers cost savings and consistent performance, and at the same time is invested in their long-term success. Oracle is well suited to do both’.”

Read more at oracle.com.

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