In the case of databases, the pick up errors and then build data error upon error.

This error could occur due to data error (unexpected data input or wrong data input), environment error (infrastructure related errors), programming error, human error and work flow error.

A software patch was eventually released to fix the most glaring data errors and bugs.

This instant capture of information reduces time delays, avoids manual double entry data errors and enhances field force productivity.

Regularization introduces a second factor which weights the penalty against more complex models with an increasing variance in the data errors.