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Advanced Data Analytics Advanced Data Analytics
The Challenge

The Challenge

Modern instrumentation, control systems, and IIoT-enabled devices generate increasing volumes of industrial data across today's facilities. As data volumes continue to grow, organizations are adopting cloud and analytics platforms to manage, analyze, and gain value from information that can be difficult to process using traditional approaches. Industrial organizations recognize that successful analytics initiatives require both technical expertise and a deep understanding of industrial processes and operations. Both IT and OT teams play important roles in turning operational data into meaningful business value.

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We understand the data, the process, the equipment, and the unique nature of industrial operations.

 

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The Solution

The Solution

Puffer-Sweiven has formed a data science team focused on solving complex challenges in the process industries using the latest tools, platforms, and technologies. We have extensive experience conducting big data projects and delivering valuable insights into complex industrial equipment and processes. What sets us apart is our expertise in data science combined with a deep understanding of industrial processes, equipment, and the unique nature of operational data. Successful analytics initiatives require both technical expertise and operational knowledge.