The Need for Modernization
Extreme Scale and Performance
Manage ever-growing volumes of data, reduce time to insight, and meet stringent SLAs.
Bring together operational, clinical, and financial data to provide an organization-wide view of the data, improve decision making, and drive operational efficiency.
In-Database Machine Learning
Enable citizen data scientists with SQL-based in-database machine learning functionality that reduces the most common barriers to operationalizing machine learning.
Multi-Cloud and Hybrid Cloud
An increasing number of healthcare organizations will require analytics on-premises and in the cloud. Reduce the risk of cloud decisions by enabling analytics wherever the data resides.
An Aging IT Infrastructure
Mergers & Acquisitions, along with risk-aversion, have left healthcare companies with an aging IT infrastructure. Providers are burdened with legacy databases, and have been slow to embrace the cloud. Analytical use cases across operational, clinical, and financial business units require insights and access to data faster than the current data stack allows.
Learn how Barnes Jewish Hospital modernized their analytics with Vertica to build an insights-driven culture, particularly at the point of care.