Activate Your Data
Data is readily available. What companies struggle with is ensuring data quality and using information to foster collaboration.
Optimizing Your Outcomes: AI-Enabled Energy & Sustainability Programs
Enable a tailored, digital experience by combining both human and artificial intelligence with local expertise to accelerate results and capture strategic objectives.
Brochure: Interval Data Quality Services
From Resource Advisor tools to managed data services, Schneider Electric ensures your data analysis is based on a solid foundation.
Schneider Electric's AI-Assisted Advising and Implementation to Accelerate Clients’ Energy, Sustainability and Climate Change Programs
Schneider Electric's multi-million-dollar investment into AI and machine learning technology drives next-generation digitally-enabled services.
In Conversation: Data Complexities & Building a Strategic Foundation
Join the conversation with experts, David Adams and Richard Bennett, to discuss the importance of data as a foundation for all corporate sustainability, energy procurement and efficiency strategies.
The People Behind the Data Part I: Managing PPA Performance
In this video, Cleantech Operations Specialist, Sarah Wolf, discusses how a trusted advisor can help you manage PPA contracts and performance and assess strategic opportunities.
4 Tricks to Pressure Test Your Data Program
In the age of big data, every company should know these 4 tricks to pressure test your data strategy, including rethinking collection, capture, consistency and control of data streams.
Drive Real-Time Decisions with Clean, Confident Data
Data quality is a significant issue, especially with larger enterprise data management systems. Good solutions identify and fix issues on their own, letting you be confident in your data.
The Problem with Your Data Might Not be the Data
Corporations are able to capture and monitor granular energy and resource consumption in real time. Yet many still struggle to turn this data into actionable insights.
Finding Gold in Mountains of Data
Energy and environmental data comes from a number of sources. But storing and translating this data into actionable insights requires an integrated platform and automation.