Tag: data validation

  • POOR QUALITY DATA IN ≠ POOR QUALITY DATA OUT

    POOR QUALITY DATA IN ≠ POOR QUALITY DATA OUT

    When building owners invest in Fault Detection and Diagnostics (FDD) Software, they expect results. But those results don’t come if the FDD rules produce false faults due to messy data. Real data from real buildings is imperfect at best. Data points are missing, mislabelled, or unlabelled. Data points that mean one thing on one piece…