For practical energy and environmental management, one of the main tools is cause and effect analysis -determining what events, practices or behavior resulted in good or bad performance. The focus is on the process and how to improve its performance. Every variation in energy performance has an explainable cause. Whether or not the variation can be reduced and avoided, the cause must be discovered and explained by the process of data interpretation.
The process of data interpretation must result in operational guidelines for the future. Guidelines should prevent undesired practices and help to avoid behavior that has a negative impact on process performance. The most powerful tool managers have for data interpretation is - a QUESTION! The managers can and should always ask 'why' a particular data pattern occurred. Performance improvement teams at each ECC should seek and provide adequate answers.
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