Explore the four stages of data-driven sustainability

Sustainability is a priority for organizations, but reducing energy usage, waste, and carbon footprint requires visibility into operations. This white paper outlines a four-stage framework for data-driven sustainability:

• Establish a baseline by collecting and contextualizing real-time data
• Deploy asset models and analytics to track outcomes and insights
• Develop actionable insights using asset analytics and variance analysis
• Use advanced analysis and AI to simulate and anticipate outcomes

By following this approach, organizations can address root causes, gain understanding, and make data-driven decisions for sustainability improvements. Read the full white paper to learn more.

Vendor:

Aveva

Posted:

Jul 9, 2024

Published:

Jul 9, 2024

Format:

PDF

Type:

White Paper