PLEASANTON, Calif.– Healthcare Triangle, a leading provider of cloud data transformation solutions, recently released DataEz, a cloud-based solution that empowers life sciences and healthcare organizations to future-proof their data platform. DataEz provides instant access to advanced analytics with cutting-edge security that help organizations derive meaningful insight from large quantities of data.
Since DataEz is built on the cloud, this software-as-a-service platform also provides greater capacity for ingesting, processing, and gaining insight from data—critical in fields such as genetics, where public archives for raw sequencing data double in size every 18 months.
“With the surge in access to real-world data, including data from remote monitoring and digital health devices and from clinical trials, a compliant, secure platform capable of analyzing large quantities of data efficiently and effectively is essential,” says Suresh Venkatachari, CEO of Healthcare Triangle. “DataEz presents a practical and cost-effective way for life sciences and healthcare organizations to deliver on their data strategy with advanced analytics and a highly agile, highly secure data infrastructure.”
DataEz enables organizations to automatically deploy core infrastructure and access advanced analytic solutions—including artificial intelligence (AI), machine learning—to automate data lake management. It’s an approach that frees up IT teams to focus on more strategic initiatives, such as use cases and applications uncovered via data analysis.
“With IT teams stretched to capacity, life sciences and healthcare organizations need a data infrastructure that is scalable and flexible enough to adapt to any workflow,” says Sudish Mogli, Chief Technology Officer, Healthcare Triangle. “DataEz positions life sciences and healthcare organizations to leverage their existing IT investments with a scalable, secure, and compliant AI engineering and analytics program built with multiple layers of security to ensure data and agility is never compromised.”
