 A couple of things just before we jump into our final keynote panel. So I mentioned this morning that Len Silveston's workshop tomorrow in Understanding Behavioral Factors is going to be switched from the here bell, the boat, into the Cockatoo Room. I may have also mentioned that we're thinking of switching lunch because of the likelihood of rain tomorrow, but looking outside right now, it's like let's, let's make that call tomorrow when we see how the weather actually is rather than, than maybe preventing ourselves from gathering outside again because it's such a gorgeous day. All right. The way to learn that tomorrow, by the way, just if you could check the app or the digital sign that's out there, we'll be making those updates as soon as the decision is made. I mentioned this morning these pink forms. We don't actually have enough for everybody so that you can submit these over the next couple of days if you're going to be around. We'll also include the evaluations from the Thursday and Friday sessions. If you include those, then we'll include you in the drawing that I mentioned for either an all expense paid return visit to DJI Q in June or for one of the free tickets that we'll be giving away for Enterprise Data World in March. All right. We have something special happening right at the end of this session. So one of our panelists, Kim Wine-Zero, wrote a book recently called the Data Governance Guidebook and Playbook by Practitioner for Practitioners. The folks at Elation had ordered many copies, I think 100 copies of the book for Kim to sign and for whatever reason, perhaps the Amazon outage yesterday, they did not arrive in time. So they are set up outside the room here and if you would like a copy of Lynn's book for free, Kim's book, I'm sorry, for free, then just go there and scan your badge, they'll capture your address and they can mail that to you afterwards. So thanks very much to the folks at Elation for doing that. If you were interested in taking the Certified Data Management Professional exams while you're here, there is one more time slot this evening, five to seven in the Russo East-West Room. That's the small room just around the corner from the coffee shop downstairs. There's been a number of people who've been taking those exams so far, so take advantage of that opportunity while you're here. It's a pass or don't pay. So if you take the exam, don't pass, you won't pay for that unfortunate experience. The pass rate is very high. Well, actually, it's a very demanding exam, which makes it a valuable credential. But the pass rate amongst the folks who attend these conferences is generally fairly high. Also, the Data Governance Professional Organization, the DGPO, conducted a raffle with some prizes as well. There were two free memberships offered. One was won by a Creti Agrawal of Emeritus. And the other by Michael Pipp of MDTA. The DGPO will be in contact with you about how to get your free membership. And there was also a $100 Amazon gift card, which was won by Jesse Huerta of the US Air Force. So they will be in touch with you also, Jesse, about that. Okay, let's jump into our final panel then. And I wanted to leave us with the theme of adapting to the future. This has come up in various contexts through the course of the meetings so far, but let's put a little organization around it. So I've asked each of our speakers here, each of them is a senior data management, data governance executive within their organizations. Ryan Dupay is the VP and Chief Data Officer of American Fidelity Assurance. Kim White-Zero is the Director of Data at Radio Systems Corporation, which I find a particularly interesting name for an organization whose main brands are PetSafe and SportDog. How did that come about? Yeah, it's... They pivoted at one point. I'm having a little brand identity crisis here. I won't press you on camera then. But she was most recently the Chief Data Officer for the state of Tennessee to just very recently moved over to Radio Systems. And Hayes Williams is the Head of Data Governance for the R&D Division of Daichi Sankyo. And Hayes gave a terrific presentation a little earlier today about the use of video in communicating about data governance, which we have on camera. Actually, I think we have both Kim and Hayes' prior presentations. Ryan, I think you were in a different venue. But the video that we've been taking just of this room over the past two days will be shared with you for free, of course. So you'll be able to experience all of these sessions later. All right, so I wanted to start out, please, by asking each of you to just reflect on the past couple of days. Sorry, we should have moved this podium, shouldn't we? Is there any chance, John, of just backing that out of the way so I can actually see folks? I know I'm tall, but... What were the best ideas that you got from the last couple of days? Ryan, let's start with you. Can I share a few? Absolutely. Yeah, so I'll share a few of the highlights that I got from some sessions and I was reflecting on this just a little bit ago. On Monday, there were a couple of really good sessions that I was in. The first one was on building a successful data quality program that was with John Talbert. I thought there were some interesting things he shared around how data quality relates to manufacturing quality and how a lot of the same principles cross both. And he talked about the difference between data quality assurance, which is those data quality processes and checks along the manufacturing process versus data quality control, which is something that happens at the end after a data product is delivered. And he talked about the importance of having both in place. In the afternoon on Monday, there was a really good session. I attended on building award-winning business glossaries. And one of the key questions I was hoping was going to be answered, and it kind of did, was, is a hot dog a sandwich? And the session was all about business glossaries. So the answer was it depends. It depends on how you define a sandwich. And I did learn that the USDA would consider a hot dog a sandwich, but they wouldn't consider a grilled cheese sandwich a sandwich because it doesn't have meat in it. So that was pretty interesting. But all seriousness, it was a good session. If you're trying to understand the difference between a business glossary, a data dictionary, and a data catalog, there were a lot of good tips from that session. I'll share just a few more. I thought that the keynote this morning from Scott Peachy was really insightful. The engine that drives the data office, I think those are some good takeaways for everyone around what a mature data governance function may look like. I also really liked his slide on what data governance is versus not. I think there's a lot of good principles that can be taken from that. Another session I attended was exercises and data ethics from Peter Akin and Karen Lopez. And that session was really good. It just made me think harder about data ethics. It's not always something that's front of mind or that we think about every day. But it is something that is really healthy to be thinking about as you build out your data solutions. And then the last one I'll hit on was earlier today as well, Scott Taylor's presentation. I think that was probably the funniest presentation on data I've ever seen before. So I thought it was fantastic. And I hope there's a recording. It was in this room. So I'm assuming there is a recording. Oh yeah, there's a recording of that one. Yeah, there were probably a couple dozen one liners that I'd love to add to my brain so I could use as needed. So those were some of my big takeaways from the session. Yeah, the one liner from Scott that stuck with me was respect the ingredients. Yeah, by the way, so we have a couple of microphones in the audience. Like, we don't have to wait until the very end for you to chime in if you have something else. And in fact, I'll ask, once we're through asking this question of our three panelists, I'll ask anybody in the crowd who'd like to contribute to this question as well about, what are the best ideas you're taking home? All right, let's move from the audience left to Ryan Hayes. What were your best takeaways? So I will talk more about themes. I wasn't as good about talking in specific presentations, which was excellent. I, a couple of themes I took. One was metricing the data governance program itself. I have to say, I know better. It's great to come to an event like this and kind of reaffirm what you know you should be doing and taking that back with a bit more kind of energy and a couple of tips, tricks and ideas for how to convey the business value to the business, how to, what data governance means. Training, a lot of mentions of training and some good ideas from my perspective on formalizing being more deliberate about how to bring people into the data governance area. What courses do you need? What methods you use to train? And from Scott Pichy's keynote yesterday, I did take something from that as well. I took a crisis of confidence. Why am I not doing more? Why is it not going faster? You know, that kind of thing. So that's what I have for you. All right, Kim, what's your take? Yeah, so in the last session I presented, I called out Jim Johnson's presentation, what every business should know about data governance. He has got a slideshow that is just jam packed full of intelligence. So if you haven't downloaded that, download that. Some awesome checklists and insight in there. The Delta, Dental folks, are you in here? They've got it. They were the remote, they were one of the remote ones. Oh, okay. Yeah, that's right. In their presentation, they have a super cool infographic. Like without even talking to these gentlemen, I could look at the infographic and know what their journey has been since 2015. So very good for executive level support buy-in. So I really like that. I keep hearing, as far as themes go, that executive support, you have to have it. I learned more about data fabric, thanks to the IBM folks, because I didn't know, is that like a person place or thing? So I learned more about that. Scott Taylor was amazing. But the one thing that keeps cropping up, and it hadn't really dawned on me, like why do we call it governance? And I know it's in our, we are the governance conference here, but the examples I've been hearing is like, we don't call it like HR governance, even though they're doing the same thing with people. So like the word governance keeps coming up as, boy, is there a softer word we could use for that? Is there, has there been a good alternative that's been proposed? I haven't, I haven't heard any other than saying, we're the data department. Oh, Amber's got an idea. This morning, I don't know if I think it was the CEO of Ovala, she said, we're the data defense. So that's my new thing. We're not data governance, we're data defense. Data defense, yeah. Who has some great ideas that they're taking away from this conference? Well, that's a disappointing that nobody would have any ideas. Maybe I should rephrase that question. Who'd like to share some of the big ideas that they're taking away? Or things that you're going to do differently when you get back to the office? Way in the back there. Yep? I would say differently, I would say with more energy. Okay. Maybe just re-confirm, re-affirm, but needed to be done differently, but with more energy. Fair enough. One of the best talks, and I alluded to this this morning on the panel with Tim Mavsgrove's talk, I think his emphasis on incorporating project management metrics and techniques into the development of their program, I think had some terrific insights in it. I mean, being in the room, the type of questions that came up, that one clearly resonated with a lot of people too, as something to try differently. Yes? Methodologies for that. Rob Siners, or Bob Siners presentation on communication I thought was excellent, and just keeps resonating in my head that yeah, we need to do a lot more of that. Yeah. Yeah. Carlo, if you go there, Dave, if you could come over here and Danette has, we'll take Danette's question first, or Danette's contribution first. So I liked the one on meditation mindfulness. Sorry, I can't remember the woman's name. Oh, Matia, Matia's down, yeah. That was really good, and she really showed how it can help, and you can easily do that within a corporation. It was not just individual, but with your team. And Zen with Len on the beach is a particular favorite. That one you can go to every conference. Every conference, I go to it, yeah. Yeah. And my last mention is, John Ladly did a presentation on big G, little G. So big governance, little governance, and how do you move from doing a number of projects to making it actually a part of the foundation of what you're doing? And he had some really good ideas, and some of that was part of conversations with Gwen Thomas, who's done a lot with governance. Yeah, yeah. Yeah, I'd say probably many of you, because there are about 40 folks, I think, at Len's session. Next time you come along, try to get up a little bit early. It is a brilliant way to start the day in 30 minutes, but Matias' presentation was very much oriented towards sort of enterprise application of mindfulness, which, whereas Len's is more oriented to the individual. Yeah, I thought there was value in both of those. We had a question, a contribution back there, yes. It was lovely and heartening to see so many hands raised when the question about a department of one was posed. And it made me stop questioning what I was doing wrong and start thinking how I can subtly steal other colleagues and make them my pseudo team. Some of the presenters have just so casually used terms like marketing communications would partner with that. And I thought, we have a marketing team and I've never asked if they would market this for me, but they have 23 people and I'm one. So things like that, how can we be a little bit more sneaky, has maybe a negative connotation though. I don't know, maybe the department of events would define it differently, resourceful cunning. So who we can partner with who aren't under the data governance program but can enable us. And one of the things that we talked about amongst ourselves quite a bit was how the unfortunate situation of this pandemic has made clear a lot of the process inefficiencies. It's so easy for somebody to forward an email change and say, plus Kiyomi, well now it's my problem. They wouldn't have taken 20 minutes in the hallway to catch me up. So you can really kind of reframe that situation and come up with these little focus groups. You have every name in that email. You know who needs to fix the process and that can help give you your backlog for some of these little wins that we talk about. Thank you. All right, yes, David. Thanks. I've been coming to these for- I'll tell you what, since you're right up front, why don't you turn around? I've been coming to these free diversity events for, I don't know, 10, 12 years now and one of the things that's always very interesting to me is to see gradual long-term shifts in what topics or people are getting excited about. And even though we've been away for a couple years, I've been doing events online and quite suddenly here what I was seeing was a big interest all of a sudden in data strategy and data management strategy, which I think is very important because it begins to reflect a level of formal engagement with executive business leaders in driving the whole data governance, data management function. And the other piece that's been coming up a lot, I work in financial services so there's been a lot of conversation about ethical conduct over the years. But another big thing that is, quite frankly, financial services industry is lagging a bit in this, but the question of data ethics, what constitutes ethical access of data? What constitutes ethical usage of data? It's very nice to me to start seeing talks on data ethics in this particular conference. Good, yeah. That's the topic we've been tracking for so long and we ran some sessions four or five years ago and literally had a handful of people attending them, but now there's clearly a great deal more emphasis. And I think it comes from more than just the AI ethics. Everybody's heard about how algorithms gone bad can be so detrimental, but I think just much more generally, ethics has risen on the priority list. Okay, so is there anything in particular that any of you plan to do differently when you get back to your desk? Me? I got a whole list. I'll let any of the three of you answer Yeah, I've got a whole list of things. Where I'm currently at with radio systems is getting the message out, kind of growing my posse, growing the interest, make it exciting. So I've been looking for tips and hints on how to make data fun, how we can start gamifying, how we can earn badges, how I can get my communications across in a fun manner. Yeah. I've doubled down on communication. So I have invested some time in communications. I think I have a good start, but the two minute data, forget the exact term that they use, what I have most of what I've done today in communications are big blocks of things, right? Big blocks, more frequent, smaller, exactly smaller tidbits. That certainly resonates, especially, I was making this point a little bit ago, when my audience really has their own day job, the people who I want to chain to hearts and minds, they have their own day job, and they only have slices of attention to give to me on this subject. More smaller bits of information are certainly one of the things that I think I'll lean into. I'll kind of echo a comment that was made in the back. I think that these sessions, the ones that I've participated in are largely confirming that we're on the right track with what we're doing within my company, from a data governance structure, from a process perspective, from a metadata management data catalog perspective, and from a data quality perspective. So I got some additional reinforcement that were on the right track. So I don't have like some big aha moment that I've captured this far, but what I plan on doing, because there's a lot of good content that comes out from these sessions is when I have time, probably hopefully sometime next week is going through all the presentations. And what I like to do is I like to create a short term list and a long term list. And if I go through presentations and I see something that sticks out that I can immediately act on, maybe something I haven't thought of, or a next step I need to take on something, I put that in that short term list. And then other things that are more future thinking, things that I'm trying to think about, like master data management and think more three, four, five years out. If there's ideas that I find valuable from any of the content from these sessions, I'll kind of put that in that long term category. That way I've kind of fully digested. And then I go back through those notes and I figure out what things I plan on doing differently. So for me, I generally get done with this conference and I feel like it's information overload. So I've kind of kind of redigest some things. So that's the approach that I take to figure out what I need to do differently. Reflecting on Scott's session this morning. So I'm based in LA, got a couple of friends who are comedians and they do a little stand up or maybe they try and get a job on a sitcom. And listening to Scott this morning, I mean, we're all talking so much about communications. Everybody's like huge on this, but if we could figure out how to make data governance funny, like constructively amusing, it would be so effective in making the point. Mark, I know you're smiling under that mask there. Mark, a couple of years ago, wrote a song about data governance. I don't know if you ever performed that to a different group than one person, probably your wife or... But yeah, since we keep coming back to communication so often, I think quite seriously, okay, seriously, we need to be less serious about some of this stuff and at least make it a lot more fun. And so I'm gonna undertake when I get back to LA to talk to some people who write jokes, who tell stories that extract fun things out of situations and see what we could do to make this stuff resonate with people more effectively just by being fun. Yes? I'm gonna have to outsource that. Pardon me? I'm gonna have to outsource that, get someone else to write my jokes. Oh, goodness, I couldn't do it, but there are people who can make fun out of anything. Well, I have a recent success story about that, working with our executive team where I'm at now, and every data governance model has one of those lovely pyramids, and I happen to adore Bob's. And so I'm talking with our C-suite, and I said, you're not on this pyramid, you're above the pyramid. The pyramid was built to worship you. And they thought that was hilarious. Yeah, it helps it resonate, and it helps it connect with the target audience. Yeah, I mean, in general, kind of a serious bunch, and it's obviously a serious topic, but we've got to change the dynamic somehow. And, you know, I'm, because I've seen the same conversations taking place for 10 years, and clearly, you know, some folks managed to get over the hump, and most others struggle. So I don't know, I'm just, I'm thinking maybe there's another way. So we'll work on that. All right. By the way, there's actually quite a large LinkedIn group for this conference that has almost zero participation. And somebody asked me just this morning, you know, can we have a discussion group to continue some of the conversations? So I think it languishes because we frankly haven't put much effort into it, you know, don't have many resources, et cetera, so we haven't tried to cultivate it. If anybody would like to help us do that, I think we could carry on some of these conversations very constructively through that venue and, you know, maybe create some continuity to the conversation. All right. So whether we've discussed it here or not, I want to ask you folks, what do you see as the big issues coming down the pike that are going to affect data governance? I don't know if those are technologies like blockchain or if there are other, you know, seismic shifts, but, you know, where is data governance going to get pulled in in the future that we should be thinking about so that we can either future-proof the strategy or at least not be surprised when it arrives. So let's go the other way this time. Kim, if you've got any thoughts on that? Okay, yeah. Yeah, so we are getting exactly what we've been begging for. We need the business people to be tech-savvy. If they were just more tech-savvy, this would all be so much easier. Where I'm at, at radio systems, we are hiring tech-savvy people. You come in, you get a Tableau editor license. So now here we are, they're like, where's your data catalog, Kim? How do I connect this data? And so the issue I'm having, it's a good issue to have. It's exactly what we wanted to have happen, but now we're scrambling. So I'm hoping that this lights a fire under funding for things like data governance, like people get hired in, like how do you expect me to do my job when you don't have a data catalog? I'm supposed to talk to the IT department to figure out where my data is? I'm not doing that. So we're getting exactly what we wanted. So this means careful what you wish for. Yeah. It's here now. Excuse me, I'll offer a rather niche issue in research and development in the farm industry. There's new types of data, a lot of different types of data that are coming on the scene. Things like genomics, which kind of blur the line, like you talk about privacy data, for example, they in genomics, almost by definition, the data is only referring to you, but can you actually point back to me without some other source, like combining with the 23andMe or some of the online services? It's big, it's different. It is very personal. Does that mean we need different rules, different styles? It's very health care oriented, but that's an example of new types of data that are gonna require different rules, still structurally the same. It's still a governance problem, a privacy problem, still the same kind of rules, but it is different and I don't think we've netted out on how to manage that yet. So rather industry specific problem, but that's something that's coming down the pike for us. The trend that I'm seeing is I'm seeing data governance merge closer and closer to the business and I've heard it this week several times, but challenges with engagement. I think when a data governance program originates somewhere within the IT and then you try to get all these stewards engaged and involved, it's very challenging. I think more and more that are business cases for either data management or data governance initiatives are gonna have to tie to the company's overall business strategic initiatives. And usually that is, how can data governance or data management contribute to sales growth? How can it contribute to cost reduction? How can it contribute towards building your company's brand or providing better customer service? I'm seeing personally more and more the more I can connect what I'm doing to those business outcomes, the more people that are gonna wanna come with me on the journey. Just to follow up on what Hayes is saying about different types of data. Quick show of hands, how many folks are involved in governing external data? Okay. Unstructured data? Quite a few, okay, a lot more. How many folks here, for how many folks here is privacy part of your general portfolio? Okay, yeah, that one has come along to such a long way in just a couple of years. All right, we get, you know, speaking proposals on these things and I don't have a good way of measuring all the time the level to which people are interested in the topics, but all right. What about, you folks, what do you see coming along that you're thinking is gonna be relevant to you in future? All right, couple of hands there. We'll take the gentleman on the right first and then, yeah, yes, you said. Yeah, I think it's going to be a double punch of an increased regulatory environment around privacy and also with the proliferation of state and non-state actors when it comes to holding, you know, ransomware attacks and companies need to have a better sense of where their data assets are and making sure that this enterprise asset is governed, protected, available, and trustworthy. So that's my two cents. Thank you. Yeah, let me add quickly to my prior questions. How many of you are involved in more than just a peripheral way in data security issues? Okay, thanks, relatively few compared to the others. All right, so yes, Dave's gonna bring either the microphone there. So I don't think it's really broad. I think it's really maybe niche, but really polarizing is the vaccine passport or something along those nature. I mean, we did it here, right? We all had the validation process and it's not, there's no official entity that's signed up to do that in America. They're doing it in Europe and things and I mean, it's not really broad, right? How many attributes would that be? But it's really polarizing. So I could see that really blowing up for a certain space. Yeah, so as you might imagine, I've been paying a lot of attention to COVID issues over the past year and a half and it was really quite difficult to find the right tool to use to bring everybody back here. We settled on clear after for US attendees. So it only covers US, unfortunately. We had to do different things for our international folks. Then they had told us that we could track the folks who had signed up and got pre-clearance but what they didn't tell us or what they neglected to mention was the timing of that capability which was not gonna be until I think February of next year. So that's why we bombarded you with extra email messages to try to find out who had been registered, who had been cleared. But yeah, I mean, I think at this point it looks pretty likely that there's gonna be a lot of things that require vaccination. In LA, you have to have a vaccination proof to eat indoors now. You can eat outside without that but it's more and more pervasive. How many folks here are familiar with non-fungible tokens, NFTs? Okay. How many are familiar is probably the wrong way to phrase that question. But I was reading an article recently about the application of NFTs, essentially to data quality issues and assurance issues in an enterprise context. I mean, there's the whole crypto NFT thing where people are selling digital assets for millions of dollars but then it seems to me there's another application of NFTs in providing ways for there to be information integrity and digital assurance and various sorts. Have any of you had any exposures to have an opinion on that? At the state of Tennessee, it was a non-funded program but, and I typically do this everywhere I work, you have to glom on to those enterprise initiatives. So the example I have at Tennessee, we needed to share large volumes of data with external vendor. And they're like, well, we could put it in Dropbox or we could SFTP it or we could, and I'm like, why don't we drop it in Snowflake and they'll just come get it. And the vendor's like, yeah, that's super easy for us. So we got our lake, you know, and so I kind of look for those opportunities to tag along to everyone else's spending patterns. This is not, it is a story that happened in my company. It wasn't my project especially but it was around the blockchain idea and some of the contracts you can make in blockchain. And the way they use it, I thought was pretty clever, you have kind of a triumvirate of the patients, the sponsor like Daishi Sankyo and the provider at the hospital. And you want to recruit patients to get into clinical studies but the patients don't wanna reveal too much information and the hospitals like they don't want to commit themselves so they use this concept of contract and blockchain to be able to essentially let the patients reveal enough information that if the hospital and the sponsor all met the right amount of information the contact would be made so that their information, the patient's information especially wasn't ever disclosed until there was enough information or enough criteria met to be able to make that connection and that helped kind of preserve privacy, preserve, make that connection in a way that preserved everybody's interest at the same time. Still prototype, it was more than prototype but not scaled yet but I thought that was a really interesting idea around the blockchain area. The company I work at, we don't have any specific use cases but we do have a department that is specifically focused on innovation that is looking at pretty much any emerging technology that you can think of and they go and they'll do proof of concepts and they'll partner with vendors to try things out so we don't have a specific one yet but I mean it is something we've looked at since it is an emerging tech. Yeah, for those of you who raised your hands and are familiar with NFTs any opinions on whether there are applications within an enterprise around data governance? No? Okay. Yeah, I'm gonna track that one myself too because I have a personal interest in it. Let me invite any of you to throw in a question here. What thoughts do you have at the moment unanswered questions? Yes, right in the middle. Since I deal in the financial industry there is a lot of activity happening around bringing on other vendors coming in and wanting access to our data, et cetera. Has DGIO ever thought about having any type of sessions around contractual type of things that you need to put into protections for data so that your quality of data, your security of your data, all that type of things is contractually working with your vendors that way because everywhere you go you kind of hear some certain clauses you should have in your contracts, certain clauses that you shouldn't have in your contracts and I know some guidance around that. Even our legal teams are kind of like, data is kind of new to their world as well and so it'd be kind of interesting to see if there was something around that. Yeah, so often at this conference we've had a lawyer by the name of Bill Tannenbaum who specializes actually in issues specifically like the one that you mentioned. I'll dig up some of his prior material for you and we can share that. But the latest there is probably a couple of years old. I can check in with Bill and see what he's been doing recently because I imagine that that area of the law has probably changed substantially since then. You're particularly interested in the question from a contracting standpoint. Yeah, it just says, data officers, what should we be kind of looking for as we're reviewing those contracts, send them some lessons for them and there are some tips and advice to ensuring that you're not doing a certain thing or that you're doing something that you need for them? Okay. Especially as we start going to a federal work or we're getting into data lakes where we tend to be exposing vendors so that they can come in and get that information or putting it somewhere or getting to it and see what they do with it and how they handle it because in life in our case, the data that they're wanting to see is our customer base. So we have to be protective, legally, regularly, for you to ensure that the crisis is kept on that and that the securities kept on that information. Yeah. And so our contracts have been like that. So you've got the legal issue, the compliance issue, the data issue, and the CEOs kind of have to look at all of that. Tony, I can add a little bit to that. We have a data classification policy within our organization that's focused on classifying data by its sensitivity. So data can either be restricted or sensitive or nonsensitive or public. Those are our four categories. And what we've done is we're in insurance so we deal with a lot of sensitive data like PII and PHI and such. And what we've done is we've kind of mapped our classification to our data agreements. So if a given third party is dealing with all public data, maybe they don't need to sign any additional agreements. If they're dealing with PII, then there's an additional agreement they'll need to sign. If they're dealing with PHI, there's an additional agreement. So we try to tie access in our contracts with the corresponding sensitivity classification of our data. And we found that pretty helpful. Okay, I think there's another question. Yes, Sarah. So I've been biotech and I've recently been asked about governing markings. So we have different markings, whether it's a CE mark, whether it's like identifying hazardous material. But these aren't really, it's not data I'd previously ever governed. And so I don't know if anyone, has anyone come across any of those types of things or gotten questions about governing that kind of data? You were in biohaze, you know? Yeah, I don't have that one. Okay, yeah. Is, does markings have a specific? Yeah, they are. So for example, the CE mark is to identify this is product to be sold in Europe. There's also different like hazardous markings to explain whether you have like maybe lithium batteries. But there's all sorts of markings that appear on labels and they're getting more and more complex and they're becoming more specific to each country. For some odd reason, they don't seem to all have alignment on the markings. But it came to me and I just was like, you know, from my regulatory group and I just didn't have an answer. I was curious if anyone else had experienced that. Okay. Sorry, we don't have a good answer for you on that one. Anybody else have questions before we wind up? All right. Well, most of you will be here over the next couple of days, I know. So please keep the conversations going. At this point, we can wrap up the formal conference portion of our agenda. And I'll say again, it's been wonderful to have you all back. I hope the next couple of days are productive for you too and that we see you at an event in 2022. So thank you.