Your story sounds outrageous initially (10 million dollars!) but if this is a 5, 50, maybe 500 billion company, that number isn't so crazy. If it's related to q

Your story sounds outrageous initially (10 million dollars!) but if this is a 5, 50, maybe 500 billion company, that number isn't so crazy. If it's related to quality control of a manufactured product, large changes in errors would seem to be a significant problem. Moreover, if 12 errors can become 24 in a week and nobody did anything about it, what would prevent 24 from becoming 48, or even more, until hundreds of your metrics were out of line and in total chaos? I'll also note you don't really explain "error rate of 2%." Do you mean, all 600 data measures are continuous variables, of which, each measured result may be off by 2% (or 2% is the std dev?), or are these discrete or binary measures, of which 2% are entirely wrong?