Distinguishing good-quality data from bad-quality data

So far in this book, we have repeated over and over the importance of having good visibility of our assets. A lack of good visibility can lead to a false sense of security. But what happens if we have the visibility but the quality of the data we are gathering isn't good? Bad-quality data can have significant consequences: it can cause operational problems, lead to poor business strategies, cause inaccurate analytics, or even generate huge economic losses. Bad-quality data is a problem that goes far beyond the threat hunting realm, but that doesn't mean that the threat hunter shouldn't be wary of it.

Generally, data quality is measured on a range, and what is considered acceptable quality data will depend on the process relying on it. In a way, data would be of good quality if it's helping you meet your requirements. A good data management program should help your organization combine the technology and data...