All righty, let's play this in full first. And off the sound, I love the, eh, with the legs out, eh, foot a bit more, so that you have a bit of a cleaner silhouette if you can between the head and the foot. There's no tangent right there. And then let me check here. I think the biggest note that I have, I think this is okay, just all that. Just watch out, there's something kind of busy in the mouth where it feels like, it's almost like it's chewing something. It's like a frog-like big change in there. Be careful to not have too much going on, because the danger is that you have so much going on here. And then through there as well. Plus, slight changes in all of this. I know he's busy playing everything, but the danger is that it's just everything is moving and there's no focal point. And I think I would just, just stiffen up the face just there a little bit. It's like the main thing that he's doing, like this is busy, like he's hammering this joypad while being really concentrated on what's going on there. And then this one is cute, but I think you're going too far with the shoulder. This shoulder up and down, and then suddenly he goes down and stops and then only the rest here continues, but then that's kind of locking. And then only this continues to move, meaning that there's just, it's almost like this is disconnected from the rest of the body, especially like this, the shoulder up and down. So be careful with that. It feels like this has its own life. It's I think the shoulder that's the biggest culprit there. And then timing wise, I would almost go a bit faster on that leg.  And it's almost like for what he's playing, this move here and how he goes back is almost a bit too casual. Just like tiny, tiny speed up in terms of the movement there. And how many frames you have here? One, two, I think this could be a one frame. I don't know, that's probably me having seen the shot so long for so many times for so long. I know, I would try one frame where it's just getting a bit more like, she's coming. Because the danger is that it has an ever so slight slow feel. And then this, especially this, rain down and up into that. Watch this again. And what is to me feels too slow for someone who goes, my mom's here. And then I would stick with, I know we said something about him tracking the mom, but there's something about, right? Where this feels a bit like head up and eyes versus, I think you could take a couple of frames out of this whole thing. So it's a much faster. And in that way you can hold. And then nothing's moving. And then hold that like eight, nine frames. I don't know if you can. And then you have dart, dart. If that makes sense. What that does is it's gonna calm everything down so that we can focus on just this section, like the horror goes, freeze. And then we really understand that he's looking and checking. Because my concern is that it's gonna be, and then immediately this. I mean, like it's just a softness about the eyes when you do this where you're going from this immediately to this. You just want a moment of, and then looking, but without the head down and all the hair. It's just a bit of a, and then the hair can settle. And then you have a dart. Really just the shock gets amplified there. And then you can go into this. And I do love that. That is just super cute. I just cleaned that up in terms of just the silhouette. This one, I think that arm swing is too slow. It's almost a bit even in timing, in the spacing there. So you're gonna, bit of a facet. And then watch out. Like we're stopping this a bit on a dime. I think you're okay to go here and then overshoot it and come back. And not have that locked arm when then only this moves. Bit of a, yeah, a bit fast. It just feels a bit slow. What's also happening is that this is an action. And then this is an action right there. And then also looking as it's almost looking to the camera. So it's like, it's almost like three things happening. One, two, three. And I will go, and it's almost like, I mean, if you want to even have people concert more on this, this could be the moment of, and then it's like this moment of maybe staying within a bit more than a quarter. And you can close his eyes if you want. Cause the moment we don't see eyes, we don't look at the face. We start to go somewhere else. So if you calm this arm down, it doesn't move too much. Close eyes. The eyes just gonna go over there. And then suddenly that arm goes down to grab this. That's only another move that's fast, but you know, nothing else really is moving. That's the thing that pulls our focus back. And again, the danger is here that you have this happening while the head is going forward, while this is going forward. So if you calm that down, it's just this. Then we can concentrate on that. Then you got that, which is great. I think that works. I think that with that jump, it's the best jump you've done so far. I think that's really cute. I love all that. I think that is a bit too far. I think you can go with this and bring the toes in or the foot just a bit more. So it's almost like he's trying to crawl forward. Still has a slight feeling of, ah, my legs, I can't move them. And that's cute. But then what I would do is doing all this. Here it would be. Cause he's got big eyebrows, big expressions. You could bring that down scrunchies. I'm trying. And then just for a big moment, huh? Oh, hi, hi mom. And I would calm that hair down. The hair is a bit too much. Too much floppiness. And I think what you can do here, when it goes here, cheat those eyes a bit more towards us. So the pupils are a bit more visible, especially this one. And instead of doing a dart up, I wonder if you could do like, at this very subject, I don't have to do this, but it could be interesting to play a dart. Like he's down looking here. Like, is she still looking? Am I safe? Versus pretending to read. Cause we know he's pretending and, you know, he already has that, that little, it's a little bit of a, he's calm, but at the same time slightly nervous with the look down. I don't know, there's the thought, bring that out there. I know it's like, yeah, another idea for something you've shown a couple of times, but that is my job.  You can use whatever you want out of all of that. But yeah, it's in good shape. So these are just the current thoughts, right? Thanks. All right. There's an email you can sign up. You can start whenever you want. You can submit whatever you want. You get 16 submissions. Either way, a like and subscribe would be awesome. All right. Thank you.


Hello, and welcome. My name is Shannon Kemp and I'm the Chief Digital Officer of DataVercity. We'd like to thank you for joining this this DataVercity webinar, the data trifecta privacy, security and governance race from reactivity to resilience, sponsored today by Anonos. Just a couple of points to get us started due to the large number of people that attend these sessions you will be muted during the webinar for questions we will be collecting them via the Q&A or if you like to tweet we encourage you to share us your questions via Twitter using hashtag DataVercity and if you'd like to chat with us or with each other we certainly encourage you to do so and just to note Zoom defaults the chat to send to just the panelists but you may absolutely change it to network with everyone. To find the Q&A or the chat panels you may click those icons in the bottom middle of your screen for those features and as always we will send a follow-up email within two business days containing links to the slides, the recording of this session and any additional information requested throughout the webinar. Now let me introduce to our speakers for today, Joseph Summer, Awate, Steve Prestige and Gary Lafever. Joseph is the managing director in the data and analytics practice of EY Financial Services Office with 30 years of financial industry and consulting experience. Awate is the vice president of data governance and privacy engineering for Capital One and is a season tech executive who most recently served as global chief data architect for Yahoo. Steve is the chief commercial and innovation officer for Anonos with more than 20 years of experience in digital helping clients use their data to full advantage. And last but not least Gary is the CEO and general counsel of Anonos who's worked at the intersection of law and tech for 35 years, including as a partner at law firm Hogan levels and is an architecture, an Accenture consultant. And today Gary will also be the moderator for our esteemed panel. And with that, I will give the floor to Gary to get today's webinar started. Hello and welcome. Thank you Shannon. So we're excited about being here today. And we want to make it very clear the data trifecta that we're talking about today is actually your privacy, security and governance teams. And I'm going to go over some stats and some other background information as a lead in but then we're going to go into six questions that each of our panelists will answer. And through these discussions with our panelists, you're going to see how providing these teams your privacy security and governance teams with both the technology and the remit to work together enables your organizations to evolve beyond a reactivity to resilience. But even more importantly, particularly in today's times of fears of recession massive layoffs, this data trifecta approach with the right technology and remit can actually lead to increased innovation and profits that are several magnitudes greater than what you have today. Yes, I said magnitudes, not a percentage improvement. So what are we talking about here. We hear a lot of people talk about data is the new oil. Right. But the reality is oil gets used once. And once it's burned once it combust. It's gone. It's no longer around. But with the right data trifecta attitude technology and remit, you actually can change data, not into the new oil, which is really a single use asset, but the new water. And what I mean by that is with water you absolutely have to be careful. Okay, you can use water incorrectly and it could be tainted poisoned, etc. But if you use water correctly, it's generative, it regenerates it replenishes itself. And you'll see through the discussions with our panelists that that's what's possible. So if your organization is willing to adopt a new mindset to challenge what it's done in the past, you actually as I said, can increase your innovation and profits, several magnitudes. So what's the problem and how come more people aren't enjoying these types of productivity gains. There's actually a misconception of widespread misconception, right, that reactive functions, such as privacy security and governance are necessarily at odds with your more proactive functions analytics data innovation. And that attitude is actually a big part of the problem. And these different groups to work together, enable them to do so and give them the tools to do so. The results can be, well, near magical. So let's take a look at some background statistics and research and we want to thank 451 research S&P global market intelligence. This data all comes from their, their research voice of the enterprise data analytics data management analytics review that they did. Here's the interesting thing. Look at the power of what's on the slide. All the things that effective privacy security and data governance can deliver. Right. Who wouldn't want all these things in blue, and certainly the two in purple. Right. Faster speed insight, faster relevancy, higher quality data. So what's the issue. Well, the issue is, this is how those same groups are perceived by the business as impediments as obstacles that have to be overcome. And one of the reasons for this in this, I have to say was one of the results of this analysis I found at first most striking but then as I thought about it, it actually made a lot of sense. Look who actually is responsible for implementing in most organizations, privacy security and governance when you come right down to it. Right. Over 65% of companies delegate that to it. And that's simply not fair. And what I mean by that is it is not tasked with the job and opportunity to enable this kind of expanded data use. IT is more likely to look at the inventory of the tools that they have in place and say yeah I got that. But the reality is the interplay between these different data protection techniques are absolutely critical. And so you can protect data using any one of these techniques. And how effective that protection will be, and how widespread the utility of the data and the fidelity and the timeliness will be for the data users is a very different matter. And so what's needed is to allow these different groups privacy security and governance to work with it. Don't get me wrong. But they need to look what's needed to support each individual data use case. What we look at is the seven universal data use cases. And the reality is what's necessary to protect data and enable data innovation utility and insight are very different for each of these, as are the legal requirements. And so expecting it in and of itself to have the wherewithal and expertise to give you the best test Dev and demo data. Maybe you can accomplish that. But those same tools are not going to allow you to jump up to use case five and share data with service providers, which includes by the way cloud providers, as well as outsourcing. So each of these different use cases requires a different combination of skill sets and techniques. The reality is with the right technology with the right remit to the data trifecta. It's almost like this barista machine. Okay, where the same source data, the same coffee beans can be used to deliver very different outcomes. So what we'd like to refer to this is lean data and what we mean by that is for each of these seven universal use cases. You're delivering just the data that's necessary to meet the needs of the user, no more. There's something this level of granularity modularity and scalability that no one data protection technique can satisfy, but rather a platform approach that enables you to pick and select and actually automates many of the functions to embody and reflect your own organization subject matter expertise does in fact make it possible. So again, we're going to start off with our panelists views we have six different questions we want to ask them. But how many in the organization would not be interested in moving from a mindset that's predicated in many respects outdated approach to protecting data that are incompatible with the new use cases, so that we can have much more effective benefits and fidelity and utility. So as I'll say it again, you can improve and increase your innovation and resulting profits, several fold. So we're very honored to have the three speakers that we have here today we're very lucky. And we're going to start with this question. What do you think this is going to be targeted our first. What do you think about characterizing data is the new water versus the new oil. Do you think it works. What do you think. Hey Gary. Thanks for having me. I certainly certainly do think that it does work. I might actually take that even one level further Gary. I think in some circles, folks have actually heard of me talk about data as the new cappuccino right because it in my sense for the things that I care about. For example, making sure that sensitive information is not. It's, it's taken out of the data and in a manner that doesn't impede the analytical value of the data. It helps to think about it like a cappuccino which in the simplest sense is just milk and and coffee right so and when when you think of the milk as sensitive information and coffee as just the facts in the raw data. You tend to find out that once you've mixed those two things together, they're incredibly hard to kind of separate apart. And what I really love about the image that you shared earlier about the different use cases and the different baristas you I believe you called it the, the lean view on data. It's, it's, it just hits the point right. I'm very interested in making data available for folks to do to leverage for the maximum amount of analytical use cases that our users are consented to, but I'm also super interested in doing that with the least amount of friction possible. So what I really love about adding in just what you need at the right time for the right use case, it kind of goes back to that whole concept of, you know, water having this characteristics of, you know, reusable and available with the right level of quality at the right time. And when you add in milk, like I like to talk about in terms of sensitive information, it really drives home the points that you how you bring in data into your ecosystem is going to be really, really important because once it gets to a certain state it can be hard to bring it back. So hopefully that that touched that point that Gary. Absolutely. Thank you for that I was so Joe from your perspective. What is your experience or thoughts with regard to this approach to data which is selective and and tries to not only maximize its utility and applicability, but doing so in a way that makes it replenishable near inexhaustible.  I mean the first thing is that data has value. And so, you know, so does water right. And in fact I could think back to the time when water was considered. It's not that important the idea of buying bottled water. I remember Evian when Evian came backwards a joke among my friends was Oh, Evian spell backwards is naive because who would buy water and bottles when you get such great water so plentiful come from the tabs. Water is ubiquitous right, and that's how data first seen, but then eventually people realize hey water is scarce, orders valuable people built entire businesses around water people have reinvented water with adding vitamins to it and other stuff like that. And, you know, there are economies and industries built solely off of water, which at one point was not considered other than you know and areas where, you know, it's drought regions and that sort of region, you know, it was considered plentiful and maybe not that valuable at all so the idea that one water is it has value and so does data I think it's important. The second thing is that, you know, data and water both take different states right water you can freeze it, it can be liquid it can be steam. I think when it's frozen it's locked down nobody could get to it. When it's steam, it's leaking out of the organization and anybody can get to it. So we want to get the water that liquid form so we can use it we can transport it. And I don't know if anybody's ever had a chance one time I was driving to Maine, and I was near Poland Springs and I was like I like Poland Springs that's pretty good water I'm going to go visit the factory. Let me tell you can't visit the factory they have it locked down like a military complex. They're protecting their data because that's their most important business asset. They also have a fleet of trucks and distribution they ship water and I get a five gallon set of five gallon jugs from Poland spring up in Maine, you know, every, you know, every month. And so they they've solved both the problems of let's protect our water supply which is a valuable asset but let's also have a distribution system that we can safely make it available where it's needed for people in their homes. And I think that's the problem that privacy security and governance are trying to come together. How do we keep our data safe while enabling its usage. Well said Joe. Steve, do you have any other insights or perspectives on this? I'm not sure I can go past that. That was that was very impressive. For me, Gary, it's very simple. It's a great, it's a great level.  And I see the companies that we're dealing with it's all about the data. It's all about how it flows. It's all about how it's, I'm going to redirect it. And I love the idea of this concept of reusability, you know, so reusability of water reusability of data, and ultimately data becoming more of an asset. And Joe said it so well how, you know, water has been, it's been devalued, but now it's highly valued. And I think data is the same thing. So, all of our clients, you know, all of our all of those businesses out there are looking to basically make better decisions, drive higher productivity, stronger business outcomes, and new revenue streams and I feel that the concept of the reusability of data as per water is a great concept. So one of the things that I love about these webinars or podcasts or public speaking is, is I find that adrenaline really helped us to sharpen the mind. And so you've all just heard one another speak to this. I'm going to time you now, I'll give you each 30 seconds to summarize why you think this analogy works, and why you think it'd be helpful for organizations in such a time as we're at. So, go. Why I think the analogy of water versus oil. Well just really boils back to what I said earlier. The data has to flow within the enterprise it has to get to the places where it's going to have maximum utility. And the fact that it's reusable is, you know, at various levels of quality at for different parts of the business. It's actual how it's its own utility in there. In fact, we already talk about data in in terms of water data links data, data streaming, etc, etc. Right. So, I think there's, there is value to businesses, particularly from the perspective of being able to reuse the data asset once it's already been created or or transformed into a data product by another business unit. There are. There's lots of value in thinking of it in that terms, it makes it easier to describe to to the business. Fantastic. Well said, Joe, your turn. 30 seconds. Go. Data has value. Data flows. Data takes different shapes. Data can be used and I'm sorry, water. Right. Water has value. Water flow. See what's such a great analogy I can use the words interchangeably. There you go. Yeah, but it flows it has value it takes different shapes you want to protect it you want to enable usage, its value is increased over time, and industries have been built up around managing water in so many different ways and I think that we're moving to a data where the ability to manage data and just data share data are going to be all key business capabilities much like transportation, logistics, electricity and other things that change the way the world worked previously. Fantastic. So Steven let us always put you at the end so you can't say all the great things that I want Joe say your turn 30 seconds go. So for me, you know I mentioned I think people can't survive without water businesses can't survive without data to be able to flourish in business to be able to survive the usage of data slash water is a requirement. And ultimately if we can do that successfully, we will not become extinct. I love it. Alright, let me interrupt. I think he topped us all with that. I'm telling you, I think the adrenaline of being put on the spot brings out the best of people you all three did fantastic so thank you for that. I think we go with Steve first next time. Alright, so this one we're going to start with Joe. Okay, and the question is really what is the role of collaboration controls and customization for turning no into yes or maybe we could even say from turning oil into water. What's your perspective on this. So this is an area where I've had some experience working with companies that are wrestling with the data dilemma, trying to balance between keeping the data safe and adhering to privacy obligations and reducing risk. All at the same time enabling analytics use cases and a variety of other business needs collaboration between the data office privacy are essential throw in info sec is as well, but definitely between the you know privacy and the data team collaborating to say we both need to go to the business to accomplish certain goals that are relevant to our functional areas. Let's that do let's do that together in a coordinated fashion. It'll save the business some time. And also it'll help us meet our remits to keep the data safe and able to use it to understand what we have now controls become a big part of that by having effective controls in place. Like I've worked with some privacy teams working for the data offices where we've shown that we have effective controls whether it's moving to like granular row column access or ways to transform the data so therefore it's less risky because it's been denied, or because we have the ability to provide the privacy team with reports showing who had access to this data how often they use it and control detecting if there's a, you know have normal usage patterns. So we need to make privacy more comfortable. And then ultimately, this has to be customized the organization's culture, because the real issue here is not technology. It's people. And so we need to get people together to understand how data is how we're keeping it safe, how we're enabling usage that we have the right controls that we don't get ping pong between privacy. I mean I've seen some business groups just pull their hair out they're just trying to solve business problems. And they're going between different functional areas following these kind of manual processes, going back to your point about proactive. If we can make the data available safely and monitor its usage instead of having to put a three month four month manual review process in front of every use case. So that's how I think they tie together. Well said, well said. Do you have any perspective on that as well. Yeah, I was just going to add to that I think you know from a collaboration standpoint, right out the back like one of the biggest problems that you see really doesn't matter what industry you go into is you have data proliferation. And that generally comes from, you know, the fact that this several copies of the same data that I just found all over the entire enterprise, and teams don't generally collaborate on, you know, creating standards right you have multiple standards postal number or a phone number and this this comes from perhaps like a limited amount of collaboration, not increasing that starts getting you know folks to go towards a direction of data products right and domain specific opportunities on on a particular data asset so that you don't have to copy it, or you can leverage existing standard data products to create new data products. On the topic of controls, I would have to agree with Joe in that sense right and I'll just bring it back to kind of what I was, you know, talking about earlier. In this day and age you you generally from a time to value standpoint, when you're you're going, you're going through your, your classic analytical use case you want to make sure that a you have the right data asset, and be doesn't have any sensitive communication in it. So that governance process tends to increase your, your time to value right you know Joe you mentioned three four months that I've heard of use cases where that's, you know, eight months nine months sometimes the horror stories where it's 18 months, and that the story becomes even worse when after 18 months you find out that that the project is not viable because the data assets don't really make sense. How, how can we go from a place where these manual processes exist today to a place where the controls are actually baked into the data. And where, where in our enterprise customers are end users of the data if you may can very quickly go from I have an idea to discovering the data that they want to to test the hypothesis with and doing some really analytics, whatever that whether that's BI reporting or whether that's machine learning that getting to that place where it just the data just flows right it's it's kind of it's that's for me that's the mission. So just to think of just bringing it back to your point to the point earlier just data like water. I can't explain to you the complexity that exists between the water that flows and the streams, right, and how it gets into the the public plumbing system and then the plumbing system in my house. I just go to my think and I turn the faucet and water flows and I have a cup of water. That's the kind of simplicity that enterprises from a consumer standpoint that the customer needs to get to and want data, I get data, not I want data, let me sit around for four or five months and maybe I'll get the data that I think I'm getting. I love it. Steve, your thoughts on this. Yeah, obviously the big question for everybody every client's working on modernization projects. For me those modernization projects really need that collaboration. And it's critical, but it's really difficult. Really you've got you know you've got that data team that Joe talked about the privacy security and governance teams. There's really four different conversations happening there. Ultimately it takes too much time. So you're talking about controls, you know for me a platform approach to controls gives you the focus gives you the guidelines gives you the rails, you know that they gives you the proven methodology and the approach to build collaboration, which also flows into standards that I think Joe mentioned, right, which means that when you know you have standards, you can think about automation, and ultimately get data into more of a utility, which is what I was talking about so I think this this is one probably the critical conversation. Yeah, and the idea of controls that flow with the data is just really consistent with the concept of data as the new water. Right. And the reality is it does help you to collaborate because the people who receive the data that has the controls embedded in it can only make the intended and authorized use and therefore you could create different versions that data for different use cases and customizing them so that so that's great. So I will have you start off with the next question. What do you see is the impediments to enterprise the shifting from more of a data loss prevention, right to a data maximization resilience and sustainability. Right, so what do you think the biggest challenges and, and, you know, boogeymen are that would otherwise make that impossible. I think, you know, I'll just boil it down to like, you know, the four main areas of data management and data governance that exists at various varying degrees of maturity throughout enterprises right. For one, cataloging. I need to know where all my data assets are, so that I can discover them. I, you know, I need to know what I what I have. Assessing the quality of my data in a very timely fashion is also going to be important to me like that for quality data for one user might be incredibly rich quality data for another user but not knowing the quality of the data is just useless for every user. Access control management, knowing who has access to the data for what use case for when do they need access to the data and for how long right to like time time limit. Data lineage understanding where the data came from, where the data is right now and where the data is going and time all that in together in the nice little bowl where you, you as an enterprise are trying to drive responsible use of the of the data for your for your consumers. I think that, you know, that on paper is easier said than done, and various enterprises are at varying rates of maturity across those domains and I think once you, you get to a place where all those those data management and data governance domains are just really humming and are talking well with each other. You have real good clarity on the sensitivity of the data and therefore understand which use cases it cannot cannot be used with. Only then do you achieve like really high velocity of the utility of your data. Well said, Joe, your thoughts. There are a lot of impediments that I see and part of what I do for a living is to try and remove them and come up ways that fit for certain companies to solve those impediments. The biggest one we hear the most about is privacy concerns and, you know, desire to make sure that you're not violating any laws related to privacy. We also hear, and this has been for some time, you know, if information security is probably the most mature in terms of, you know, security breaches the penalties associated with that the risk are now embedded into contracts like every contract you sign with the vendor now will have a whole data section on liability and limits and that sort of thing so concerns about what if something happens to our data. And what if our privacy laws are violated, you know, alleviating that risk is a top concern. Another big impediment is the fact that many organizations have federated data environments, and they don't have a way to pull their data together, and they don't have a catalog. So if you ran a business and you say oh I have a warehouse, I don't know what's in it, or I've got dozens of warehouse all over the world I don't know what's in each of them. But the cost is so everybody wishes there was a bot or something and you know chat chat GBT could read all your data and figure out what the data means and put it into a catalog like a library, you know, or Amazon bookfinder type of thing where you can find exactly the data you need to get all this great metadata about it.  And that and that takes effort. And I think it takes an investment to go clean up those warehouses organize them tag everything and store a computer system that says, we're going to keep track of our data and where it moves to. And then I think the final thing is business engagement and demonstrating business value, like logically you could explain the benefits of protecting the data, enabling it for analytics, cataloging it, measuring data quality, all these sorts of foundational good practices, but to really get the business to engage and gain benefits from it they need to see that they need to see the value they want to see an ROI. And so hard charging business executives are going to say well before I get behind this, you know, expensive enterprise data project that I'm kind of skeptical about I want to know the ROI I want to know what it will do for us. One of the great news is there's so many examples now of firms that have successfully leveraged data for economic value, generating insights, creating new products, etc. But it's a much easier case than it used to be so.  Joe, if I can just add a point there Gary.   I'm a data professional and I know this stuff but just imagine just thinking about that in in in stark terms just made drives the point quite home. Right, I mean, you're really looking to embed the trust in the data. And you know what's happening so Steve, any thoughts on this particular question. I'm going to take two seconds. I know our and I and I think Joe and I have talked about this over the times. Everything I just heard from both our and Joe is all about, you know, governing all of the data. It's highly complex highly time consuming very costly. And because we're trying to govern and control everything. It becomes high risk because you're doing so much with it. I do like the concept of how do you now govern just the sensitive data rather than 100%. If you feel that the sense of data is five to 10% of the overall data stack. If you control just the five to 10% rather than trying to do the whole 100% you start to see some significant advantages makes a ton of Steve Steve I'd like to push back on that for just a second. I'd go for it. And here's why John, because I have seen a lot of clients.   Okay. So first I need to identify those 80. Then I need to protect them I need to figure out how I'm going to protect them. Then I need to maintain them and see where they go. What if I could take that whole data set and make it in a way so that it was usable. I don't have to filter out the sensitive from the non sensitive because I protected the whole thing I locked down the whole warehouse, but you could still go in and out we know who went in and out. And you could you know create good products that you sell based upon what's in that warehouse. And I think that more holistic approach to data. You could be more efficient, at least until the tools get good enough to say, this date is a birthday, not a date the contract was signed or whatever. Right. And Joe, maybe I was joining the, I think we agree. I think we're great. We're absolutely agree. And I think the points where I'll just double click on is, if you were to add the data, let's call it the data production data creation side of things, understand that a little bit better the characteristics about the data, like, you know, what what the metadata if you may, right. And also, in addition to that, you can actually start scanning that metadata, the data that's flowing in on with an understanding of the metadata itself, you can start really like getting really good about not letting sensitive information get stored in in your ecosystem where it's not supposed to go.  And I can send, you know, the 800 ton logs of wood to to the to the lumber yard in the back right it's still valuable, but you know I can store that outside whereas you know the diamonds are probably need to be stored in a stronger vault. Well said, you guys are better when you're spontaneous so keep it up. All right, so so this one, not that you're not good otherwise. So this one is for you Joe to start with right, you know, based on the different client engagements and work that you've done personally, and or you're familiar with that EY has done. What do you see as the benefits from trying to converge these different perspectives, right and and what do you think enterprises can realize, because look it's not what's done today so why do something different. The number one benefit really is about efficiency and effectiveness really one and two right. It's efficient. If you think about and I've worked with teams where we've brought together the privacy, info security and and office of the CDO together to come up with a unified engagement model for the business. And we also did unified reporting up to the leadership for the data program. This saved everybody time. It reduced the number of interactions it reduced the number of applications it made the data related work that was being asked or required or mandated of the business, a more manageable, it made it easier to support them. And so by converging, you know these three together. There is a lot of efficiency to be gained. The second piece is effectiveness as well. When they're coordinated when there's coordination, you can really measure the results and and do that in a unified way. I mean I'll just be honest about it and I think we all know this sometimes politics are involved. Sometimes it's easier for you know some of these groups privacy or isolate you know security to isolate and say I just said no, we're not doing it proved me wrong make me do it. I mean I've seen that type of posture, because it's risk, and they're managing a functional area and they're like I don't need to take on the risk. This is where the senior leadership needs to come in. So if we look as part of our business strategy we need to enable data usage. We can't leave it leave our good just locked up in the in the warehouse to rot like you think of like some of the farm programs where they're just let in you know corn spoil, and you know silos to keep the price you know take somebody to be the grown up in the room and to say, we do need to enable this and work together so when that happens, you definitely gain efficiency, you see more effective, you see more effectiveness, and I think it also starts to speak of being a data culture you know data driven firm a firm that makes the decisions based upon data. How can I be a data driven firm and make rational informed decisions based upon data. If I can't get access to any of the data that our business runs on. Well said, Steve. Yo, wow. So, yeah. Benefits really of having. I'm going to call it a platform approach to those controls is doing all the things that Joe mentioned right it's it's speeding the processor. It's enabling you to deliver rules and controls into the data that flow with the data, which ultimately means that our privacy teams and security teams can say yes to more projects. Data teams can get access to that approved dates and much much quicker. You know speeding up all of the processes and obviously reducing the risk. I just thought I'd throw a little curveball in there and go to you as opposed to I was so now you get to clean up on this. I think you've done an excellent job of keeping all of us. Listen, I personally think that private security privates and privacy are two sides of the same coin. We are both concerned with the protection of data. I think where privacy differs a little bit from cyber security is that we have a extra specialization in, you know, sensitive information, human data, PII, etc, etc. Right, so, you know, a good way to a good way to think about this like this, let's just say you had a business that created tractors. And those tractors are, you know, we're out on the farm and they're collecting corn and they're sending GPS data back to a satellite. Well, that doesn't have my social security number. It doesn't have my address that really it's just movements of that tractor. That information still needs to be protected and there's there's there's a cyber security angle to that. Now, the minute you start bringing in information about me as an individual buying from that farm, well, all of a sudden there is there's sensitive information in play. And now the slightly different treatment of the data comes into play so cyber security and privacy are very similar. In that sense, one goes horizontal the other goes vertical. Where I think there's an incredible value of these groups coming together in addition to the time, the time to value elements that Steven and Joe spoke to earlier is that that there's there's a sharing of tools and capabilities and sharing of knowledge, when those functions are more or less like one, right. And in some cases, you know, some of the advanced tools that we leverage and some of the machine learning models that we leverage to privacy are actually very similar to the ones that cyber security looks like looks that I'll give you I'll just give you a very simple example. Data quality, which is, it's more this now closer to the data governance side of defense I just wanted to bring them into the conversation so they don't feel left out. Data quality and anomaly detection with machine learning models right where it over time the the model will will detect anomalies in the data. If it's a technique that's leveraged by cyber security looking at anomalies in in IP traffic. The more and more that these stakeholders can be having conversations sharing capability sharing sharing tool sets, the more and more they can create standards together. And, ultimately, yes, at the end, achieve a reduction of the amount of time it takes to get a project from I have an idea to a new data product. So that the timeliness and relevancy of the end result is as important right as the as the privacy as well so you have to hit all of those. Correct. Makes a ton of sense. All right, well you did such a great job on that one hour you can lead off batter on this one right with regulatory legal frameworks constantly changing. Both privacy and security right the SEC is now saying that the boards can have to identify within you know 10 case and annual and quarterly reports, who on the board is responsible for cyber security privacy you have more and more US states and ultimately I do believe there'll be a federal privacy law and then clearly internationally with the GDP are another know what can enterprises do to stay ahead. Oh, that's a that's a wonderful question that Gary. Look, I think that. And this is this is not unique to privacy regulation, though certainly you can see this and in in privacy regulation more than other types of regulations. Enterprises generally have a reactive relationship with regulation. It goes to a responsive relationship with regulation and I explained the new ones difference between the two. In fact, let me let me try to do that with an analogy. You know if I were to build a for those engineers in the audience they'll probably get this part of build a responsive website. It's going to work equally as well on my desktop computer as it would on my tablet as it would on my mobile computer and I don't have to build three versions of that right. However, I took a strategy of you know, building a desktop site and building a very separate tablet site and a very separate mobile site. Some new device comes into play like a different size mobile phone or maybe a television screen with a browser in it. I might have to build a fourth and fifth and and so on and so forth. Building responsive data ecosystems that are able to react to changes in regulation is in my mind is the Nirvana that we all need to get to. I think a lot of organizations rightfully so, once they get a sense of where regulation is going tend to hurry and react to that regulation this is, this is probably most enterprises most industries you look at it the same everywhere. But what if you were to get to a place where your data ecosystems are built in a way that with minor configuration of changes, you can actually be compliant to the next subset of regulations. And by and large if you were to look at most of the privacy jurisdictions. They are shallow copies of GDPR. I mean they all have to reach no nuances but at the end of the day, if you look at the intent behind some of these privacy regulations that they tend to be focused around protecting the consumer. With some meaningful level of prediction, you can kind of get a sense where most new regulations are going to land. And in other cases you can start building your ecosystems to automatically react and, you know, say state zip code is is allowable by in one in one state and in another state it's not right so if you can build your pipelines to be able to keep the raw data in a protected state and that is not accessible, but the data that you leverage free analytical use cases can be transformed to meet the needs of the privacy regulations you can actually do that on the on the state by state basis. And now long term is that practical for most enterprises if you know we had 51 different states outside 51 different privacy laws to deal with in the US probably not. But the reality of it is that we do have the technology to to get there and to just double click on what Joe Joe said earlier. It's really that investment that enterprises have to get behind to really achieve that long term vision. That's your Joe so in your practice, what do you see as ways enterprises can get ahead of this situation. I think you, the, you know, you have to the firms need to get to the perspective of embracing principle strategic principles, as opposed to adhering to tactical regulations. So what I mean by that is we know the basic principles behind privacy like I was said are protecting the consumer, making sure that there's consistency between how you said you would use the data in your disclosures and your legal agreements is actually how you're using them. I know, I know one large bank that, you know, a while ago got in trouble for, because, you know, the, the description of how one of their specific products worked from a trading product perspective wasn't accurate. And it's the same with, you know, data disclosures if I say, I'm not going to, you know, share your data with a marketing firm and I do, you know, well then obviously I'm violating the disclosure so I think that the way to stay ahead is to have those principles in mind that we're going to, you know, protect the data, we're going to maintain confidentiality, we're going to adhere to our disclosures when we create data products we're not we're going to do so in a way that protects anonymity, you know, particularly for sensitive data. And if you have those principles in place, you know where your data is being used, you know where your client's data is, you can, you can remove it if they request it. If you're able to do these kind of five or six fundamental things, then I think any regulatory framework that comes through which is going to be a couple of tweaks in order to adhere to the specific tactical requirements of those rules. I'll add one thing. There's a firm that I'm just about to start working with that has fantastic policies and guidelines about, you know, what is allowed for the analytics model. There's a firm as they have, you know, hundreds of end users who are trying to create new reports and predictive analytics for their clients, challenging those frameworks, and the overload of, you know, data usage demand and clarification versus the two or three people who wrote the policies and and are responsible for educating them. And it's a burden. And so, you know, one of the things that firms can also do is really try to embed these foundational privacy principles into how they work. And so that it should have become a question whether I can and can't do this, you're going to violate a disclosure clearly you can't do it. Yeah, I want to interject here and just let you know that yeah, we're just less than seven minutes left. Thank you. Steve, any, any perspectives on this particular matter with seven I'll keep it brief. I feel that clients historically have sort of looked to get outside of the regulation as a way of managing but that's become a very high risk strategy. They've also looked at point solutions. So I think that the real learning is, you know, grab yourself an owner that can look at this from end from an end to end level. Move away from point solutions pro actually review the new technology at that Joe just mentioned he's working with somebody that's got these great things. There's new technology is really creating a solution that not only solves the regulatory law for problem, but it's also looking to be future proof, in line with what I think Joe said, a little tweak here and tweak that so I think, really it's about making sure there's an there's another for the for the overall end to end problem, drive clarity and understanding and and and test the things in the marketplace makes a ton of sense. So Joe, I'm going to let you lead off and your answer to number six but I also want to answer a question from the audience, because I think it may tie in may or may not to each of your different responses to this one. At one point in the presentation we talked about embedding subject matter expertise into the data. We also also talked about controls that flow with the data. When we're talking here and I want each of you to take a shot at this and we'll take other questions as well but now what are the pointers and immediate actions and lessons learned. Well I'll start out and first of all thank you for having me on this panel is enjoyable I really appreciate the conversation you always get me thinking in the preparation and the actual event. And I hope that this was a constructive conversation and well worth people's time. In terms of immediate actions and next steps organizations really need to figure out where you want to spectrum. If zero is it's data is locked down and nobody can get it, and 10 is it's the Wild Wild West. Then you'll have some indication of what you can do to move to that six or seven range where data secure protected but we're also able to enable enable enable usage. And the most important thing is that companies see data as an asset, protect it as an asset, understand catalog it and protect it. And then those you do those and measure quality, you do those those things, then you're going to be well along the curve towards data maturity, and enabling, you know, real analytics use cases that deliver our why everybody's so excited about chat. And the reason it was so effective was because it had a tremendous amount of data with which to work, basically the internet. If we're going to build business specific AI, it's going to need data with business specific, you know data information iot and the like. And so companies really need to get good at making their data available in order to you know future proof. Got it Steve your thoughts. Yeah, I think from your question you mentioned about this concept of leveraging subject matter expertise and embedding controls I think that's where it comes from, you know, whether a client is thinking about operationalizing their AI and machine learning, building a monetization strategy or literally just on a journey of modernizing their data flows. I think if you've got the capability of embedding subject matter expertise into the data. So you have those controls. It really drives two things. It enables you can say yes to many many many more projects. And it ultimately speeds up the approval of those projects. So whether it's four times more and four times quicker, you're really driving that 16 times productivity by by literally using that subject matter expertise and embedding the controls into the data. Fantastic and now we want to turn it back to Shannon with a minute left so you have two minutes to hit this home. Okay, no problem I'll be really quick about it. Listen, I think response with data usage is really the future here. We're just double clicking a little bit on the topic we just had about the regulations is their their framework, their the rules that we have to follow. But I think, you know, there's there's a space ahead of that that as enterprises we could sit there comfortably and and do what's right by our customers and I think you opened up this conversation. That, you know, there is a fallacy in place of preventing analytics by injecting more and more controls and trust. I happen to agree with that I think you can actually still achieve high velocity, high fidelity data analytics, and also do it in a matter that's responsible on that, you know, builds trust with your customer that you're you're doing the right thing by them. Absolutely. And that's a great way to wrap it up and I want to thank the three of you, our Joe and Steve will turn it back over to Shannon. Mary, thank you so much for this great discussion. It's been very insightful, lots of comments gone on there that I can see. I just want to let everybody know we will send a follow up email by end of day. Thursday for this webinar with links to the slides and links to the recording, along with anything else requested. Thank you so much everybody and thanks to anonymous for sponsoring today's webinar making this happen. Thank you for the opportunity and let's go with the new water. We love it. That's privacy respectful and maximum value. I absolutely love it. Thanks y'all. Have a great day. Thank you. Thank you.


If the job's too tough for you to handle, you've got a job for me, George Valentine. Write full details. Greetings, Mr. Lover. Time for another Let George Do It adventure. Now before we get any deeper into the story, I would like to remind all you old grads to pay particular attention, because this tale just goes to show what can happen when the boys get together for a class reunion. Two telegrams sent just an hour ago they came together. Mr. Valentine, brother and I need you desperately this evening, staying few days graduate hall campus Siever University, both hopelessly embroiled in a situation only too likely to be death of me, signed Joseph Durfey. Well, go on, go on. What's the other wire say? Um, Mr. Valentine, brother and I need you desperately this evening, please wear tuxedo. Be patient with our middle-aged foolishness leading quickly and dangerously to tragedy. You can find us at party at graduate hall, please don't delay, not lying when I say it's likely to be death of me, signed Douglas Durfey. You are listening to Let George Do It. Our adventure will continue in just a moment. Now back to Let George Do It and George Valentine. Oh, Brooks, I'm afraid this tuxedo will be the death of me. George, you look wonderful. Here, this is graduate hall. Yeah, quite a place. A lot of rooms lit up in there. I wonder what kind of a shindig this is. George! Look out! Open your head! What in the name of... A water bag.  All right, smart guy up there. Well, at least I won't be bothered by the starch in my shirt any. Well, for me by the curl in my hair. Well, OK, chin up, Angel. After a few repairs, we'll journey the Durfey's and the dancing. And maybe we can be the death of somebody. Could you hand me that box of plain-axe, please? Water bag. You got a water bag, didn't you? Oh, they're so funny. They think they're so funny. Thanks.  Here, I can reach that better than you can. Oh, no, no, it's all right.  It's not like one girl. Got a water bag full of cold coffee. Here, I'll fix the mirror for you. Oh, no, please, I'm fine. What's the matter with you? Reunion. Reunion, that's all. Reunion. So that's what this party is. I guess you must be the only outsider here. The class of 30. Dear old Sievert. Summer reunion, 30. Most likely to succeed. You've been crying, haven't you? Can I help? Oh, no. No most bashful girl in the class. That's what I was. How would I do anything but just keep it to myself? The wall of flowers always crying in the powder room, isn't she? Well, the most popular girl's out dancing. Oh, now look, please. Her name's Cynthia. As in Magnolia Blossoms. Only faded now. Cynthia. Just as stuck up and brainless as... forgive me. Imagine talking like this at the age of 42. Drooling and sympathy with myself. Weeping over the same mistakes that everybody makes. Oh, don't feel like that. Horrible, isn't it? What a reunion does to people. The sentiment and the memories. Even the most... the most likely to be happy. Well, thank you, Mrs. Brooks. Miss Brooks. Miss, of course. Not even the 30 we're all a class of. I'm Betty Durfee. Mrs. Durfee. 42. Bye-bye. Oh, yes, they're all here. That was the star football player that man was so fat. And over there were the glasses. Man most likely to go broke. He's a bank president now. Yeah, yeah. But I'm looking for the Durfee brothers. Oh. What's that supposed to mean? Joe and Doug Durfee. Most likely to be popular forever. Oh, yes, the Durfee boys are here someplace. They're always here. Mr. Valentine. Dancing with the most beautiful girl in the class. Hello, Stinky. Son, are you...? Yes, that's right. I'm Valentine. Thank heaven you got here, boy. Stinky, would you? And Cynthia, you look lovely. Why, thank you, sir, as she says. Oh, sorry. This is Mr. Valentine, darling. Mrs. Chesterton. Isn't this the loveliest dance, Mr. Valentine? I was only saying to Douglas... Darling, darling, please, I'll only take a second. Valentine... Well, I don't mind, Douglas. I'll just dance with you. No, no, I'm sorry, but don't dance with Stinky. Well, whatever on earth, are you jealous? Really, I won't step on her toes, darling. I'm sorry, I said I can't explain, but just stay there a second. Thanks, darling. So you're Douglas Durfee, huh? I just spotted you over there. I only got back from the golf course a few minutes ago. Say, tell me, is a woman named Betty Durfee your wife by any chance? Oh, no, no, no. I'm single. She's Joseph's wife. I'll find him and we'll meet you after this dance upstairs in my room. For what? What's the job? What's going on here? Valentine, listen to me. It's the sort of job you may not like. It may seem foolish. So should Stinky's death be foolish, or mine, or Joseph's, or any other man. Hey, hey, clear it up, will you? Maybe I was dancing with you.  And it's my fault, mine. I know I have to say this fast, but Stinky and I are planning to be married. Hey, I thought her name was... Yes, yes, Chesterton. Yes, her husband was in this class too, but he's not here tonight, separated.  He divorced naturally. At least I thought there'd be now. I don't know what to think. Oh, I get it. So that's all it is.  You're right, Mr. Durfee. I don't like this kind of job. I know how it sounds, but you've got to help. Why? Why all your rich and telegrams, and it turns out to be just a case? Is it only a foolish middle-aged love triangle when the husband hires a thug? Uh-huh. Yes, yes, you heard me. Over there, to keep an eye on her. I know how crazy it is, but... You mean the big guy? Yeah, that's right, the sour-plus. We thought it was only somebody's friend. Stinky still believes he's just an attentive moose named Claude. And he's really a hired watchdog. All right, then stay away from him. Yeah, when I bumped into one, I found he's carrying a gun. Stay far away from him. Ha-ha-ha. That's where all it was. There isn't just me, Mr. Valentine. Cynthia told my brother she was going to run away with him. With Joe. What? Well, never mind the moral analysis of a woman who can't forget how to flirt to destroy men's lives. She was even like that in school. The point is, she's even and more dangerous than we are. Figure it out for yourself.    That you was going to fall like... Would you stop laughing? Oh, you did a beautiful job, Valentine. And that Cynthia... Never guessed the stories Joe and I were spreading. All right, all right, all right. So it's all a practical joke. The Derpy brothers, most popular boys. The water bag kids. Oh, no, no, not that. The amateurist like that. We turned my sleuths in the girl's gymnasium once. Oh, great.  And you tagged me for a fall guy. So I guess I'm the one to do it unless Chesterton gets up here to your room and beats me to it. Oh, where's your sense of humor? Here's your check, now get out. Chesterton's not going to be here any minute or Joe's room upstairs. Oh, brother, there are two in every class, aren't there? And so you both send me wires saying it's likely to be the death of you. Well, Buster, for my money, I'd like to... Oh, stop it, stop it, there's no time. That's the point.  Wait a minute. You mean you're not through with them yet? Joe and I cooked it all up right here last night. Got everything ready. Ooh, those Chestertans have been asking for it all their lives. We're going to fix them forever. Now look, I don't think much of the Chestertans, but I think a lot less of you. And I am in love with Cynthia. Now we'll never get her. Hand me that bottle of ketchup, will you? The ketchup, why not? Yeah, she aimed to spoil a good shirt. That does it. Knife. I'm using a knife. Pretty bloody. Oh, no. I cannot live without you, my note says. Joe's is even better. I'm a failure and without your love I can't go on alone. Phony suicide. So that's it. The death of us. We didn't lie to you. Hand me my note. We're in the top drawer there.  What note? What I wrote last night, I just told you. Ain't even been it in the time we turned the moths loose in the movie. Can't live without you. We wrote it together. What's the matter? My note. Where's my... Well, it's not here. That's Joe's stuff. Our notes. Our suicide notes. They're gone. No kidding. We wrote them last night. Put them on the desk here. Somebody must have... Little joke on the jokers for a change. You guys are so popular.  It's Joe. It's Joe. It's Joe. I had to break in the door for her. Mrs. Durfee. I hadn't seen him all day. I wanted to stop it. They're silly. Take it easy, Mr. Durfee. I'm afraid your husband's dead. Apparently he shot himself. I'm sure that's what it was. His own suicide note. Right there in his hand. I'm a failure. And without your love, I can't go on alone. Joe's stolen notes. The funny, funny suicide. Only now it's a perfect murder. You're listening to Let George Do It. Our adventure will continue in just a moment. George Valentine in the class of 30. They're all here. The fated most beautiful girl. The most jealous and stuffy man. The most likely to succeed and the most likely to die. Two brothers. The irrepressibles. The perennial jokers. The Durfee boys. The victim of his own practical joke. Guilty of writing a suicide note in advance and thinking it might be funny. But the suicide notes were stolen and Joe never lived to laugh. Well, if your name is George Valentine, you agree with Lieutenant Riley when he says that... Anything can happen at a reunion. Suicide. Jerks who write their own suicide notes just to make some stuffy people look silly. All right, all right, Riley. What time did Joe Durfee die? Four or five o'clock this afternoon, maybe the doc's not sure. But his brother Douglas talked to him on the phone around four, so it had to be after that. Doug talked to him? Yeah, sure. The pair of them had to double check on their cute little plan naturally. And it was just after that that they sent those sucker telegrams to you. Yeah, yeah, sure. And the checks. And the operator here's got a record of it, too. It's a toll call. The only one placed here from the hall. Joe was here in his room, huh? What was his wife, buddy? Well, down at a bridge party with a wife, down in town. Oh, no, no, pal. This case isn't going to be easy if that's what you're driving at. No, I was just wondering. Where'd the gun come from? I don't know. Probably won't know. It's just a gun, 32 revolver. He was holding it in his hand. The other hand had the note. It was an insufficient job, and it could have been one of 200 people. And no clues, huh? Well, I thought I had one. Stinky Bronson had to break down this door, remember, when the body was found. Oh, what about it? All suicides locked their doors. That's what I mean. Another piece of window dressing. Because my lock expert in there says he'll absolutely swear that door was locked by someone who was leaving the room. Pulled it shut after him. So I get all excited. My fingerprint man says whoever it was wiped the knob clean. One of 200. Valentine, guess who had a reason for killing Joe Durfee? Guess who hated one of the most popular boys? Guess who has had nasty, unfunny, practical jokes pulled on them in the past years? Yeah, right. The whole class. Just to make it a more perfect murder. Valentine, I'm not going to apologize because we never grew up. We've been told off by experts, my friend. We should have heard how Joe's wife used to be on the subject. All of them. Yockels. No sense of humor. No sense of humor. I am blind. I was out at the golf course all day. I know. I know. I know you didn't kill your brother. You were miles away and plenty of witnesses knew it. That's not what I meant. I gave a trick ball to a guy in the forcing. Just took off and floated. That's me ever since college. You mean nobody laughed? No. The man who gives a hot foot supposed to beat the rest of the world in a punch. Class of 30s. And very nice people. Big men important. And the Durfee boys. Still in the hour of glory. Still way back there in 1930s. Don't let that singing carry you away.  It's too easy to see yourself slipping a banana peel. Failures if you must have it. Barely a penny between us now, Joe and me. So what? So nothing. Oh, sure. In the reunions we kept in our most popular boys. Back in our hometown, Mr. Valentine, we're nothing. Failures. Have a drink. Okay, so that's why you kept it up. But if I were you, I'd put the drink down, friend. There's a lot of people still here waiting to be questioned. Maybe one of them killed your brother.  And it's watching you right now because you're next. Or hadn't it occurred to you that your suicide note was stolen too, that it's still missing?  So what? Maybe I don't care.  George, he's too upset. Maybe it's my final chance at a real big joke. How about that? I'm sorry, but... You used to go on dates with me. Now don't turn away like that. Please, Douglas, my husband. Sure, sure, your husband. Maybe all Claus is out loading the gun for me right now. For heaven's sake. I think she's heard enough out of you.  You're not so mad at me, are you, darling? Well, really, Douglas, I should have been warned when Betty told me about your golf ball this afternoon. Wait a minute, wait a minute, all of you. Hey, stinky. I'm just going to take Mrs. Chesterton to find her husband. I'm sorry, but I thought you were with Joe's wife, Betty Durfee. Well, every girl has her moment, Mr. Ballantyne. I was, yes. Well, I just wanted to get you straight, that's all. Now you've been around all evening, but you were with Betty when we found the body. And earlier, I remember on the dance floor, you were waiting for somebody in the powder room. George, Betty was in the powder room the same time I was there. Stinky, you told me it was only this afternoon. No, no, no, no. Please, I don't have to explain myself. Stinky is an old bow of mine. Well, this is a reunion, Mr. Ballantyne. I'm afraid you'll only get yourself all wound up if you try to figure out all the associations. Just the same, would you please tell me what... Joe and Betty were planning to get a divorce. A divorce? Yes, that's what I said. Well, I know when I saw her, she sounded awfully unhappy. Mrs. Chesterton, what did you mean just a second ago when you said, Stinky, you told me it was only this afternoon. Well, he may be an old friend of Betty's, but he's also an old friend of mine. Oh, and my husband's too, of course. This afternoon, I said. You said he was with her when she was supposed to be at a bridge party. But they only left for a little while. 3.30 or 4. Oh, stop it, stop it. 3.30 or 4, huh? Where were you? Where did you bring her? I don't have to. I brought Betty out here. Here at Graduate Hall? It was something about the divorce. She wanted to see Joe for a minute. I didn't come upstairs. I only waited in the car. Stinky. Well, how much money did you make? What? What are you talking about, Tiffy? Valentine, my brother Joe, took out a new life insurance policy just a couple of months ago. Life insurance? Tiffy, wait. Tiffy!  Lieutenant, I've got to see her. She did it, Betty. I said, get out of here. You can't see her, my friend. Suicide. Betty Durfee. Just like Joe was. Only no notes. Now, now she didn't write one like Joe did. Durfee, I want to get something straight. That insurance. It's your idea, since Betty was up here this afternoon, about the time Joe died, that she might have had her eye on his insurance. Is that right? Kill him using the suicide note she'd found. And now it looks like maybe she killed herself. She just couldn't stand what she'd done. Is that your idea? Mr. Valentine, I'm all through with the idea. And so am I. A murder and then a suicide. Both the same way. 200 people, everybody mixed up with everybody else. Don't you understand, Riley? Your case is solved. It's a lot simpler than it looks, Riley. Betty was up here, we know that. She had a key, so she could have got into Joe's room. And she could have left without leaving any fingerprints. Mr. Valentine, I'm not so sure.  But a woman would do it by accident, wouldn't she? When she was dressed for a party, wearing gloves. Then let's suppose for one second that when she arrived in Joe's room this afternoon, it was to walk in on a body. What? Joe, I mean, dead. No, no, stay with me. While Betty was in Joe's room, I had a call with her brother-in-law. No, no, no, I had a call from Joe, not from Betty. But the golf ball, Derpy, I had sent the alert about your golf course, gag, from Betty. Unless you told it to Betty. And I remember you didn't get back in time to be with her this evening. And there was only one toll call to the golf course. No. All right, I told her. So what? Douglas here couldn't have been the one who killed his brother before she got there. He was out of the golf course all day. The Italian insurance policy usually has a clause in it that says you can't collect on a suicide. At least if it happens in the first year or so. What are you driving at? You said Joe took out that policy just a couple of months ago. Yeah, you're catching the drift now, aren't you? Because your brother wasn't murdered, he committed suicide. Ah! Yeah, that's right. Joe killed himself. He left a note, didn't he? I'm a failure. Without your love, I can't go on alone. We know he was a failure. And the love he was talking about was not Cynthia's, it was his love for him and probably for good reason. Valentine, those things I said downstairs. You said too much trying to hang this thing on other people. But it was the insurance all along.  You'd collect no money.  You got a bright idea and explained it to Betty in the phone. And for a while, she rode along with a gag. But she wasn't standing up very well under the strain this evening. So that's when you killed her. I didn't. I didn't kill her? Especially since you're probably the beneficiary. You'd collected all.  There wasn't any practical joke planned for Cynthia and Claude. No stolen suicide notes. It was all planned for us. That's what this whole thing has been. A cash-in on the kind of tricks he and Joe used to play. I'm a tiger. And like all practical jokes, this one fell flat on its face. Back to the conclusion of our Let George Do It adventure in just a moment. It was quite a frame-up. Send us wires, call us in. And vent all that about Cynthia and how they wrote the suicide notes the night before. Yeah, it wasn't a bad setup, though, was it? Might have worked, Brooksy. Doug had the background to work with. Yeah, maybe he and Joe had planned to pull something like that on the Chestatins in the past. And it might have worked if he called in somebody else besides you to play soccer. Maybe. Nothing. George, I mean it. Sometimes I think you're absolutely the most... George... When you were in college, weren't you voted the most likely to something or other? You really want to know, ain't you? Well, of course. Well, I was voted most likely to stay a bachelor. You have just heard most likely to die. Another Let George Do It adventure. Robert Bailey was starred as George Valentine. With Virginia Gregg as Brooksy. David Victor and Jackson Gillis wrote the story with music by Eddie Dunsteader. Now this is yours truly inviting you to another visit with Valentine. When you will again hear what happens when you Let George Do It.


QuickBooks Online 2023 Home Office Expense Tracking Method 1 Adjusting Entry Get ready to earn the skills needed to boost your bank books on up with QuickBooks Online 2023 Support Accounting Instruction by clicking the link below giving you a free month membership to all of the content on our website broken out by category further broken out by course Each course then organized in a logical reasonable fashion making it much more easy to find what you need than can be done on a YouTube page We also include added resources such as Excel practice problems, PDF files and more like QuickBooks backup files when applicable So once again click the link below for a free month membership to our website and all the content on it Here we are in our QuickBooks Online test company file using the account view as opposed to the business view you can toggle between the two views by going to the cog up top and switching the view down below Duplicating some tabs to put reports in like we do every time right clicking the tab up top to duplicate it Right clicking the tab up top to duplicate again back to the tab to the middle so we can open up one of the favorite reports on the left hand side that being the balance sheet Let's tab to the right and down to the reports on the left again this time opening the other favorite report that being the PNL, the profit and loss, the income statement Closing the hamburger up top and we'll change that range from a 1-0-1-2-3 to 12-3-1-2-3 and run it January to December running it tabbing to the left closing the hamburger scrolling up and change the range to the same 1-0-1-0-1-2-3 tab 12-3-1-2-3 and running it then we're going to tab to the left we're thinking about a home office how we can do our data input into our QuickBooks system to make the tracking of the home office deduction for a sole proprietor reporting on a schedule So normally what's going to happen here is you might have the bank feeds set up and you might have certain things that you are paying just like every other type of thing you're assigning an expense account out for them And those things could include things like the utilities or the rent on the home or the mortgage interest or the property taxes and you're just going to assign them to an expense account is the easiest thing to do And so that's what we'll start off with we'll imagine we're entering these in the place and we're just going to assign them to the appropriate expense account even though we know that there's going to be a business and personal component to these Because I'm paying for the whole bill of utilities and I need to assign some of it to the business side of things so let's mirror the bank feeds by just going to the plus button and entering an expense form So we'll just do this with a good old expense form and we're going to say that let's say the first one is the utility utility utility you let's say gas company let's say gas company boom and we'll add that generic gas company that we're paying And let's say that happened on 01323 hold on 01323 and we will say that we're just going to generically put that into utilities utility so there's our utilities expense and we'll say I'll just put one in for the entire year So I'll say this was like like $750 for the entire year let's say and then we're going to say add let's say add another bill new bill let's say this is going to the the gas company already did the gas company electric electric company boom save it Put the same date and we'll say this also I'm just going to dump it into utilities utilities just putting those two in there I break out the phone bill usually you but I'll put the gas and the electric to the utilities and let's say that that was that that was $550 and we'll say alright save and new and then let's say we had the rent so we have the landlord landlord the lord of the land for crying out loud these lords ladies driving you crazy Gotta pay the landlord alright and then we'll say that that's going to be for rent say that's the rent expense it's not garage rent I'm just going to call it rent I'll set up a new account just an expense account we would see these come through the checking account we'll just have an expense account for the rent Now this of course would only be the case if we're renting the property let's say that comes out to fairly significant amount if we did it for the whole year let's say it comes out to 24,000 that I'm going to put for the whole year So then I'm going to say save and new now note that if you had your own home and you own the home you wouldn't be playing the landlord you'd be your own landlord but you'd still probably have to pay the mortgage company so you'd have to pay the bank let's say now you wouldn't have the rent and the mortgage at the same time but let's just see the two circumstances you might have owning versus renting and so we'll say we're paying the bank now for the bank and usually there's going to be a principal versus interest portion so again let's put a fairly significant amount here and say that we had the bank that we're going to pay we have possibly a loan reduction amount that's going to be going down and let's say that was for let's say that was for you know 20,000 and then we're going to have an interest portion interest expense expense and that's the deductible portion and we're going to put that to an expense part of it may be deductible and I'll just put it to other business expense and interest expense and you might put on the mortgage let's put for the mortgage might not spell that right it's got a spell check of course it does fix it then if you can't spell that's what the spell checkers for spelling is not necessary these days so let's go ahead and do that and then you might have like property tax if I save a new you might pay the government the government big gov big gov once they're 10% so we're going to say alright got to pay the big gov and then we're going to say that that's going to be let's just say that that's going to go to property taxes boom and we'll say that that's going to be the expenses property taxes we'll just say other business expenses and let's say that that was 6000 something like that and those things would be coming through the bank feeds and we'll we'll save and close that one so something like that that'll give us a good example if I go back on over to my P&L then as we construct our profit and loss we're going to have our expenses for you know the property taxes the rent the utilities now one thing that we might want to do is try to house these expenses under a parent category of like home office expenses so that we can basically see them in one place so the way we can do that let's go to the first tab and say I'm going to go down to my accounting and here's our chart of accounts now when you first get the chart of accounts from QuickBooks they're going to put all kinds of accounts down here which might or may or may not be categorized the way you want them but you know I'm just going to I'm going to I delete the chart of accounts oftentimes to try to build my own chart of accounts because of their massive chart of accounts but you could look at what they give you and see if they house in a similar way these kind of home office expenses but the way I'm going to do this I'm going to make a parent account new and I'm going to say this is going to be an expense account and we'll just say it's going to be an expense and I'm going to just call it a tax line home office office I'll just say I'm not going to worry too much on the tax line because I don't find that to be completely helpful at this point in time hopefully at some point they'll be better that'll be more useful but right now I'm just going to say home office expenses boom and so let's save that and then the ones that I just set up I'm going to put them under that that category so I'm going to go ahead and find these that I set up I put in here under the expenses I got the interest so I'm going to edit that one and let's make that a subcategory of the home office so we have the home office here so I'll pick that one the home office and then we'll say okay let's save it and I'm going to say yes do it just do it man so now we've got the home office then we got the fees we had the repairs this is all the auto stuff and then Amazon charges and I've got to go to the next page here next page and then I've got uncategorized so here's my utilities let's go into that one and edit the utilities and I'm going to say that this one I'm going to put under the home office again so home office boom let's do that one and save it so here's the property taxes I'm going to do the same thing here edit property taxes I'm going to put that under the home office boom home office for the property taxes and yes same thing for the rent so I'm going to pick up the rent again edit it and I'll put that under the home office okay yes okay so then I'm going to go over to my income statement and let's run it and say okay so this is what we have thus far so now we've got this information nice and housed under the subcategory of the home office expenses so as I do this data input I'm going to recognize the fact that that number is probably high of course for my business expenses because I need to allocate them between the business and professional but this number might be necessary to help to populate the tax return so that the tax return can break out those those allocable expenses between the business and professional so I kind of want the entire number here in some way shape or form so the tax software can help to do that calculation even if I want to mirror that calculation in my system as well so remember if we did it if we did a normal calculation for like a home office we would think that we would get a percentage of these expenses if these were were expenses that were indirect so let's say the percent was 30% let's take we we take our office square footage compared to our total square footage for example and we come up to like 30% now we could say I'm going to apply that out before I give it to my my tax professional or possibly do it on a monthly basis saying this is my total number and then I'm just going to break out 30% as like an adjustment a tax adjustment so I can kind of see the adjustment each time frame or or I might do the tax return first and use this method to kind of do the reconciling entries between the tax method and the bookkeeping method so I'm going to use the class tracking you might be able to do a similar thing with tags if you don't have the class tracking but let's turn our class tracking on we turned it on in a prior in prior sections but the way to turn it on let's go to the first tab as you go to the cog up top you go to the accounting and setting and then in the advanced tab we want to take a look at the the categories here so we're in the categories within the categories you've got the class tracking on I'm not going to turn this on to warn me every time I enter a data input because I'm not putting a class on every transaction I'm just using it for my adjustments at this point oftentimes when we use class tracking we want to put a class to every transaction we'll take a look at methods that we're going to use that as well but we got it turned on we're using the default one to each row and then I'm going to save it make sure you save it before you hit done and then you can check it to make sure it's working by adding like an expense form and you should have another field here for class tracking so now you got your class tracking on the right so it is on so what we're going to do is we're going to imagine that 30% of this is business versus versus the the personal so I'm just going to break this out and we're going to say let's just say that I'm going to say then of this 46300 times point 30% we're going to say 13890 is going to be the business portion and the the rest the difference is going to be personal now you might say from a bookkeeping standpoint that I should put a draws you could say that the personal half should be draws we'll take a look at a method that we can do that we can put it to draws but it's kind of nice to be able to see it the total number here on the income statement there's other ways we can get the total number but we might need to give that total number to the tax professional not just the business part of it but we might also want to track the business part or after doing the taxes put the business part in here possibly to help us to kind of do a reconciliation between the tax and the business now so what I'm going to do is I'm actually going to say that there's the business portion so I'm going to remove from this the personal half so I'm going to say minus the 46300 or you can say if 30% is business 70% would be personal 46300 times .7 there's the personal part so I'm going to turn the class tracking on by hitting the drop down and sort by classes and run it now we did this in a prior section or course with the auto expenses so we're going to do a similar type of thing here I would like to put another account which is just going to be for the home office accounts which will break out the tax adjustment so then we're going to have the amount that's appropriate for taxes and we will have the total amount that includes everything as well and so that we have this kind of reconciliation within you know the income statement so we'll do a similar kind of process here let's go to the first half to do the journal entry we'll just hit the drop down and we're going to say we have a journal entry and it would be at the end of the year normally so let's just do it at 1231 to 23 and let's say that we had then the new account home I'm just going to make an account home office office tax adjustment account and you could use the same accounts but I think it's even less intrusive to the bookkeeping to make another account just has your adjusting entries although you could put the adjusting entry to the actual accounts involved because we're going to break them out by class but I'm going to say this is going to be an expense type of account and I'm going to say home office on the subcategory I'll pick a subcategory business expense I'm going to make it a sub expense of that home office expense again so the home office that's the key where did it go don't day don't day home off there it is okay so let's let's save it I think that's correct and then the amount we're going to put in here is the adjustment of the 32410 adjust for home office let's just say tax entry adjust for home office and then the other side is going to go to the same account so it's just going to go in and out of the same account home office tax adjustment I'll have the same description and then we just got to get which way is it is it going I'm going to assign a class to do this so I'm going to assign the class to this one so we're going to say this is the adjusting entry now if you don't have an adjusting entry you can add a class called tax adjustment this is your tax adjustment column which is going to show up another column so this will just go in and out of the same account no impact on the on the income statement at the end of the day but it'll break out between those two columns given you kind of an adjusting entry column so let's save it and close it and see if it does what we hope that it would do if I go on over to the tax worksheet I can say run it and then scroll it on down we are in the home office and you can see here it just goes in and out here's the new account it's in the same subcategory so it's not scattered all over the place that's why it's nice to have them grouped into a parent account that are all related to this everything that's going to go into that home office calculation and then it just goes in and out so there's no impact on the end result here the account just zeros back out so if I ran a normal profit and loss like this and just said I want the totals then no problem you just got this account with a zero in it and so it doesn't really it's not intrusive in that way and if I then say that I put my classes back on then scrolling down we've got it going in and out and instead of adjusting these accounts each of them which we could have done because that might give you a little bit more detail but we don't really need it we put it in its own account so it's not not even messing up those GL accounts really which is easy to do if you have them grouped under the home office group and then the total over here is like the bookkeeping amount that that includes the entire expenses and then this is the amount that has been reduced which only includes the expenses related to the business portion which we said was 30% so 46 300 divided by 0.3 hold on a sec 46 300 times 0.3 is the 13 890 and this is the the personal side of things so it's a nice little it's a nice little method that you could do on on your own if you wanted to make like an adjusting entry to break out the business versus personal and you could give this to your tax professional and they would have or you can do your taxes yourself and you would have everything you basically need because when they enter the data into the system they don't just need the business the business number they might need the full number so they can properly do the calculation of the square footage calculation but they should come out to the same result of that 13 890 so you can kind of give yourself a little bit of an estimate here by saying you know this is the business portion versus the personal portion but still be able to give your tax professional the entire thing if you wanted to or if you are a tax professional or you do your own taxes or something like that you can use this as a nice little worksheet inside of QuickBooks to be able to say hey look if if I get audited later I can make myself a little worksheet to say this is the full number before I have the allocation between between business and personal and then here's the allocation so that you have a nice cash flow that's going into all the same accounts and you have this nice adjustment and you can say hey look this was my number without the adjustments and then here's the number for net income that should tie in to my schedule C and then this tax adjustment basically represents the adjusting entries and you could do it all here instead of like what normally happens when you get more complex tax returns and even a basic schedule C gets fairly complex is that you need another worksheet like Excel often times to help you with a worksheet like this and so maybe you can kind of do this in in QuickBooks and then you can possibly run the reports of the adjusting entries with your notes on it for your tax schedule and everything is kind of inside the the system which is kind of nice now of course if you wanted to you can imagine doing this adjusting entry monthly so that you can so that you can kind of have this breakout between the the the business and non-business on a monthly if you run it on this format or you can do it perpetually by imagining you have your bank feed set up and then you might be able to make rules so that they automatically breakout between the classes as you do the data input or you can imagine using these classes to have a whole class versus that's business versus personal which is another common format for small businesses that a lot of bookkeepers don't like but it can work fairly good for a small business sometimes or you can think about having this amount here be in the format of draws because this is really on the personal side so if this is your business books you can put it in the system and have the other side go into the balance sheet account as draws so there's pros and cons to each of those methods so we'll dive into a little of the pros and cons of those in the future but I just this nice little worksheet right here is kind of nice because it gives you everything like in one place right it gives you it gives you the full amount it gives it a breakout of each category so you can input it into the tax return and it gives you the breakout of the personal versus the tax deductible side of things and it gives you your nice little worksheet that might be useful in the event of an audit happening like three years later or something


Hey it's Seafood David here and today we're going to show you the three basic Wing Chun self defense moves for beginners. So these are very simple basic moves that you must know if you want to learn self defense and Wing Chun. So stay tuned, here we go. We are giving away these free DVDs, Accelerated Wing Chun System Quick Start DVD, normally retailing for 129 bucks. But end of the contest, all you need to do is to subscribe, click the notification bell and like and comment on this video and you'll enter automatically into the draw. Every week we're going to give away a free video. So good luck. Here's the first thing to do, it's the Tan Da, what am I doing, I'm doing a Tan Sao. Tan Sao going to 11 o'clock, alright so if I'm going straight on 11 o'clock, if I'm blocking this way I'm just going to go 1 o'clock. So from the back, 11 o'clock and 1 o'clock, that's the angle of the Tan Sao. So when I'm facing him, so I'm going boom, I want to go 11 o'clock and then my index finger is pointing over there and then my elbow is low. So I have structure here, you can push as hard as you want, okay, how much do you bench? Oh 300, 300 pounds you can bench and are you putting all your weight right now? Yeah. He's putting all his weight in and I can support myself, I'm solely relaxing I can support it because I have structure, okay, so this is what the Tan Sao is good for when you have structure. So it's coming in, Tan Da, because I'm using the Tan and a Da, which means a hit, so this can be hit to the face here or palm to the face, okay, so that's the first one, it's called Tan Da, it's good again, it's hooked, even if that's multiple hooks, boom, boom, okay, I've got two in there already, alright, so that's the first technique. Stay tuned, let's do the second basic Wing Chun technique that you must know. Here is the second basic Wing Chun self-defense technique that you must know, it's called the Pa Da. So what I'm doing is the Pa Sao, Pa Sao, 45 degrees that way, so the rest is punch, this punch is going straight to my face, right, if I don't get it out of the way it's going to punch my face, so it's going to punch, okay, boom, and I go 45 degrees that way with my Pa Sao, 45 degrees, 45 degrees, 45 degrees, okay, that's the angle, okay, so the punch is coming in, boom, 45 degrees, at the same time I'm going to do a Da, there's a hit underneath, so at the same time, this one will 45, this one goes straight, this one's over, this one's under, okay, it's coming in, boom, this is going to hit him in the face, we direct this, this goes into the face, okay, so that is the Pa Da, you can use it on the other side too, boom, right, this goes 45, you see how it takes this balance, okay, you want to take this balance and also attack at the same time, okay, so how do you use this, it's like boom, you can use that one too, cutting punch over top, or you can use Pa Sao, like that, after this, push it that way, and then use technique number three, chain blast, chain blast, that's technique number three, we'll come back, and we'll show you how to use the chain blast, third basic Wing Chun self-defense technique is this one, the chain blast, so after I do the Tan Da, boom, boom, boom, it's open down to the middle, I'm just going to blast it, get down to the middle, boom, boom, and run away, okay, that is the chain blast, okay, so one more time, boom, boom, boom, boom, boom, boom, boom, boom, okay, chain blast, it's like a suppressive fire with a machine gun, it's very hard for him to block everything, okay, it's coming so fast, I'm doing it slow even, right, so if it do a little bit faster, boom, boom, boom, boom, boom, boom, boom, boom. Okay, so just using palms because I don't want to hurt anybody, okay, okay, welcome, next one you can do with the same chain blast technique, but not with a tatoo, all right, come in a minute, boom, boom, boom, boom. Okay, so we do that, it's similar to that, right. One more time, slow motion, okay, I do the tatoo, it's sent some backwards, so now instead of trying to Reach over his shoulder. I'll just hit the ropes here. So boom, boom, boom, hit the two spots here. Okay, so I'm hitting like this. I know it doesn't look like Wing Chun because I'm off the center, but why would I hit the center when his shoulder is in the way? Right, I can hit up here and here. So this is my pain grasp in two sections, two vulnerable spots. Okay, so those are the three basic self-defense Wing Chun techniques that you must know. Hope you enjoyed this video. I hope you enjoyed these Wing Chun techniques and basic self-defense moves that you must know. If you like this video, click the like button and make a comment. Tell us what you think. Tell us all the questions that you have and also subscribe to this channel and click the button and get the notifications of all the awesome lessons that are coming out almost on a daily basis. So I'll see you soon in the next video.