The case for data centric engineering: Extracting value in operations from the engineering data

The case for data centric engineering: Extracting value in operations from the engineering data | SPONSORED

In a recent interview, Greg Pada, VP of Business Strategy Engineering at Aveva, shed light on the transformative potential of Data-Centric Engineering in bridging the gap between engineering insights and operational excellence. This approach replaces the traditional method of manual data extraction and entry, streamlining the process from project inception to operation.

Data-Centric Engineering involves creating and preserving data as part of the engineering process, making it readily available for operational systems during handover. This approach offers significant benefits, including reduced transition effort, data consistency, and validation, thereby enhancing decision-making and operational efficiency.

Pada also discussed the substantial cost reduction achieved through this approach, citing up to an 80% reduction in data scraping costs. Furthermore, Aveva’s adoption of industry standards, like the Capital Facilities Information Handover Spec (SEoS), ensures a standardized data model for efficient data handover.

By implementing Data-Centric Engineering, companies can not only improve data accessibility but also lay the foundation for digital twin development. This approach empowers organizations to correlate their operations with the original engineering intent, optimizing production, maintenance, and decision-making.

Sponsored by Aveva

This blog post was created based on the script of the video with the assistance of https://chat.openai.com/.