Performance measures can also bring about new risks to solution performance and to the wider organization. These risks should be identified and managed like any other risks.

Let's consider a brief real-world example: 

While analyzing performance measures for an existing loan-application system, it is discovered that certain data fields within the database are being prepopulated with test data (as opposed to real customer data). This faulty data population error skews the analysis done on customer data and makes the current customer data unreliable and incorrect.  

This is identified and reported as a major data-integrity risk and is being managed in the same way as a business risk.