As cloud-based analytics and digital transformation evolve, creating the foundation of the "data-driven" world, manufacturing organizations are scrambling to implement suitable data governance policies. The Organization for Machine Automation and Control (OMAC's) latest initiative aims to establish a framework and guidelines to protect proprietary information while enabling secure data sharing for efficiently solving problems, mining insights, and capturing the highest value from data-supported capabilities.
The workgroup will elaborate on the following topics to help organizations boost employee collaboration and productivity and support continuous innovation through practical data-sharing approaches:
- Categorizing types of data and methods of segmentation
- Identifying the sources of data
- Clustering data usage - from control and optimization to service and support
- Understanding data ownership and constraints - especially concerning the use of insights arising from the data
- Architecting data hierarchy for distribution
- Reviewing security regulations concerning the transfer and storage
Participating organizations include leading manufacturing companies such as Cargill, Pepsico, and Corning. OEMs include Mettler-Toledo, Milacron, Barry-Wehmiller, and Nordson, and system integrators like Rovisys and Martin CSI, and technology companies like the ei3 Corporation, Siemens, General Electric, Rockwell, Cisco, and Mitsubishi Electric Europe B.V. among others are also included.
The workgroup will meet virtually, with the kick-off meeting being planned for May 18, 2022. A face-to-face workshop will take place in December 2022 to allow active members to review the developed content and enable an easy and free flow of suggestions in advancing this topic.