IBM researchers have developed a “breakthrough” algorithm that cuts the computational costs of assessing data quality by two orders of magnitude.

The impetus behind this work is the flood of data that is fed to computers to solve real-world problems — everything from stock portfolio management to computational fluid dynamics.