1:03:36 You know, the biggest gap right now is really on the on the data governance side and the data lineage side, especially with all of the privacy regulations that are coming out ccpa and California GDPR. over in Europe, we have, I'll say a fairly well known best practices for data governance and data management that have been around For for a decade or more people implementing it, it has become the challenge. And now people have to implement that trying to put together a full end to end toolset. You know, there's a couple of companies Irwin, Aaron has some data governance tools. And there's a number of others out there that are there stuff like partners as well. There's data cataloguing from elation, but trying to put that all together into a solid end to end program. So, yeah, it's great that we're generating data vault models, and we've retained all the data, we have all that data available for the lineage and traceability, you know, putting the right tooling in place around that. So it makes it easy for people to find that data and ask the question, say, Where did this data come from? Where Where did the data go, you know, all of those sorts of things, and that's a challenge day. I'm getting a lot of questions about that these days. You know, how do people go about doing that? It is it's something that's a problem that's that's being solved. It's been solved in part over the years. But now people really have to start paying attention to it and making sure it's part of their overall data management program.