The quality of your energy optimization results depends directly on the quality of your data collection and recording practices.
Comprehensive Sensor Coverage
Deploy sensors strategically to capture energy consumption at all critical points—from main feeds to individual equipment.
High-Frequency Data Collection
Collect data at intervals appropriate for your processes. High-frequency data reveals transient events and patterns that hourly or daily averages miss.
Data Quality and Validation
Implement automated data quality checks to identify and flag sensor errors, communication failures, and anomalous readings.
Contextual Information
Enrich energy data with operational context—production schedules, equipment status, environmental conditions—to enable meaningful analysis.
Secure Storage and Access
Ensure data is stored securely with appropriate access controls, while remaining readily available for analysis and reporting.