In think there are different standards and different conditions that would be applied to different types of data. Clearly, personal information data, which could be used for looking for fraud, are not the kind of data we're talking about displaying publicly. Those operating principles are now getting more defined across government. More maturity is developing around how to make those decisions. There are certainly different applications, if you like, of data analytics for different data sets.
When we get to things such as drug programs, workers' compensation payments, or any of the large-scale transactions that governments would be doing--and claims management, claims processing, and these sorts of things that are individual payments--and talk about analytics and reducing fraud either on the individual side or the corporate side, we're talking about governments applying tools to try to understand that in better ways. This is already happening in areas such as revenue and taxation, but it could be applied in other parts of government as well.