How predictive technologies are evolving through disciplined data collection, organization and analysis

Manufacturers are finding that data collection is only part of the equation when it comes to predicting machine health and performance. A robust toolbox of organization and analysis processes is essential in turning data into knowledge and action.

By Plant Engineering Staff September 24, 2023
Courtesy: CFE Media and Technology

Learning objectives

  • Understand various means to collect data
  • Explore best practices to store and organize data
  • Learn practices to analyze data into meaningful value creation
  • Discover options to take action directed by data-based knowledge

Manufacturers are finding that data collection is only part of the equation when it comes to predicting machine health and performance.  A robust toolbox of organization and analysis processes is essential in turning data into knowledge and action.

Presenter: Tate Pearson, senior director of engineering and technical support services, ATS

Tate Pearson is the senior director of engineering and technical support services. Since joining Advanced Technology Services (ATS) in 2010, Tate has served in several leadership positions to drive consistent operational excellence and growth. He holds a bachelor’s degree in engineering from Purdue University along with a MBA from the University of Iowa and is a certified Safety Trained Supervisor.


Author Bio: Since 1947, plant engineers, plant managers, maintenance supervisors and manufacturing leaders have turned to Plant Engineering for the information they needed to run their plants smarter, safer, faster and better. Plant Engineering‘s editors stay on top of the latest trends in manufacturing at every corner of the plant floor. The major content areas include electrical engineering, mechanical engineering, automation engineering and maintenance and management.