Once the data weaknesses have been pinpointed, it's certainly possible to improve the quality of those data with appropriate and targeted corrective actions.
We found that the problem wasn't just the data. In some cases, the problem likely came down to errors. As Mr. Swales mentioned, some applications were in the system for 10 years. I would hope that human error was to blame and that it wasn't actually true, but it's really important to check the data.
Understanding the measures that are put in place is important, and so is setting targets to know whether those measures lead to any improvement. In other words, it's about not just the organization of the data related to the applications. It's also about the organization and targets that go along with new measures that are put in place. That's what will show whether those efforts have led to processing improvements.