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PVM Continues Work Solving Big Data Challenges with Oak Ridge National Laboratory

PVM Continues Work Solving Big Data Challenges with Oak Ridge National Laboratory

PVM, an experienced digital services provider, is expanding its work with the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL), a leading research institution focused on energy and national security. Specifically, PVM is continuing to provide technical support for the laboratory’s Strategic Materials Analysis & Reporting Topography (SMART) system and solving big data challenges with ORNL.

As a partner to ORNL for eight years, PVM has a deep understanding of the unique technical aspects of the SMART platform and a history of success maintaining the system and the Defense Logistic Agency’s (DLA) inventory of strategic materials. For example, PVM was recognized as the Oak Ridge National Laboratory’s 2021 Service-Disabled Veteran Owned Small Business of the Year for both responsiveness to technical issues and ability to develop valuable features at a lower cost than other vendors.

Over the next year, our team will continue to support the SMART system and help DLA maintain its inventory of strategic material – connecting disparate databases to allow for accurate reporting. Additionally, we will provide continuous technical support to ensure the system is consistently available.

“We are thrilled to expand our partnership with ORNL,” said PVM CEO Pat Mack. “We are committed to helping DLA maintain their SMART system to fulfill its mission of supporting our nation through quality, proactive global logistics.”

Big Data Experts

PVM’s engineering team has extensive experience solving big data challenges for ORNL and our clients. Our team is made up of experts in connecting disparate data sources and is focused on helping our customers unlock the power of their data.

To learn more about PVM’s success supporting ORNL and other mission critical challenges, see our portfolio here.

This statement was published independently of the Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy (DOE) and the Defense Logistics Agency (DLA). This release does not imply endorsement by nor reflect the opinions of ORNL, DOE, DLA, or the United States Government.

 

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