Confronted with conflicting energy performance data, it's essential to critically evaluate the information. Ensure data sources are credible and reliable. Consider multiple data points and approaches to reach a comprehensive understanding. Validating data through cross-validation can help resolve discrepancies. It's also crucial to consider the context and limitations of each piece of data. By taking a systematic and nuanced approach, you can accurately assess the energy performance of your facility and make informed decisions. Analyze data systematically and consider multiple perspectives to arrive at an accurate conclusion.

Analyze data, methodologies, and equipment carefully. Often, simple issues like calibration errors or minor failures can introduce noise into the data, leading to inaccurate conclusions. Establish a clear process for calibrating and verifying monitoring devices. Additionally, understanding, validating, and reconciling the data can help identify errors, ensuring a more accurate and reliable data analysis that drives better decision-making