Data Validation
Data validation is the process of checking energy data for errors, gaps, or inconsistencies before it's used for analysis or reporting.
Definition
Data validation covers the checks applied to raw energy data — detecting missing intervals, implausible values (e.g., negative consumption), meter malfunctions, or unit inconsistencies — before that data is used for analysis or fed into compliance reports. It's an often-overlooked but critical step, since flawed input data undermines every downstream calculation.
Why It Matters
Bad data caught early is a data quality issue; bad data caught late is a compliance or business decision made on false information.
How ecolyptus Helps
ecolyptus applies automated validation checks to incoming meter and sensor data, flagging gaps or anomalous values before they reach downstream reports.