Wonderful. Good afternoon, everybody. Thank you so much for joining us. We really appreciate you attending today's session. We're going to be looking at the Tableau new features today and complete a review of that. You may have seen the short, very quick video there that covers just a few of them and we're going to delve into those a little bit deeper. So first of all I'm Vicky, I am the marketing manager here at Interworks Europe. I'm joined today by my colleague Rowan Bradnam who has built the presentation that you're going to be seeing today. He's one of our analytics consultants. Just to let you know this webinar is being recorded and we will get a copy out to you in the next one to two business days. We're going to aim to answer questions during the webinar and at the tail end of the webinar. You've got a couple of options to use. You can use the chat function or there is a Q and A function as well that we've also got access for you to use too. So what do you need to know about Interworks? So we are Tableau's first gold partner. We have been a gold partner for over ten years now, and we are a truly global organization with offices in the US, Europe, as well as Asia Pacific and Singapore. We've got a world famous blog, I'm hoping that many of you are already making, taken the time to go and visit that site. We release new content every single day and that's content not only on Tableau but content on our partners so Matillion, Snowflake, AWS and many many more. And we specialise really in working with organisations and their people. So as a consultancy we are there to enable you to drive your data to make those better decisions. So we are super excited to have you on today's webinar. So a little bit more about the kind of work that we do. As you can see there's an awful lot of slides there but really what we aim to do as an organisation is to support our clients with their end to end data needs. And that includes everything in the BI landscape, whether it's IT, finding the right solution, and then driving those analytics home. One of the key areas of success that we found is enablement, which is training your team to make sure that they are up to date with the latest and that you can become truly self sufficient. And then finally from me, I just wanted to recap on some of our favourite solutions that we have here at Interworks. So the first one you're seeing there is Interworks Assist which is an opportunity for you to book one to one time with one of our consultants like Rowan who is running today's webinar and that can be to discuss any problem, concern or query you may be having with data and tableau. The next one is Interworks by Curator for our embedded customers which really looks at taking your Tableau dashboard and turning it into your own experience. So that's your branding, color scheme, making sure that people who are using Tableau within your organisation are getting the look and feel that your company has created via your brand. And then finally, Server Care. So we offer a fully managed service for Tableau Server which certainly has alleviated a lot of pressures with a number of customers of ours. So with that, I'm going to pass you over to Rowan, who is going to be presenting to you today. Thanks, Vicky. Thank you for that. Welcome, Good to have you all on board. Thank you for giving up your time to join us today. We're going to be looking at quite a lot here. Hopefully, we'll be able to get through all of it in our time and be able to get through some questions as well. So we're basically focusing on the new features that have come out in the latest release of Tableau two thousand and twenty one point four. And we're breaking that up into three main sections and then a little bonus section as well. So most of the demo is going to be on Tableau desktop. And we're going to leave PowerPoint to look at a couple of examples in Tableau around copy pasting, as well as multi data source and map layers. Then there's a few other bits and pieces at the desktop that we'll look at. And then we're also going to do a piece around Tableau Server or Tableau Online, and some of the new features that have come out around virtual connections, centralised road and centralised road level security, which are new features, which require data management add on. And then we'll also look at connected apps and publishing data sources. And then beyond desktop and online, there's a whole range of new online offerings from Tableau, and we'll be looking through all of that. And then right at the end, we're going to spend a few minutes just looking at something new in the world of data, which is outside of Tableau, is snowflakes, data masking, and just to look at what's possible, some some of the things that might be needed in your organisation that go beyond Tableau. So we won't spend long on that, just a few minutes right at the end, and then hopefully some questions. So on we go. So first of all, at, as I said, copy pasting. And we're going to jump into Tableau to look at that. So this is a very exciting new feature within Tableau, and one that makes life a whole lot quicker and easier for developers. So let's look at the very basics of it. So here we have a dashboard. It's just a homepage, about page on the dashboard. And then it's just a whole bunch of text boxes and images and some buttons up here as well. So let's look at the very basic part of copy pasting. So we'll look at copying this image here, which is just an image of a cat. And we'll look at how to copy that onto the same dashboard. The first thing I want you to notice is that this is not, is it floating? Oh, it shouldn't be floating. I think let's put it in here, this is where I meant it to be. So let's have a look here. So, this image is not floating, you can see here it's fixed in. And let's put on some different layout options just so that we can see how those stick. So let's first of all remove this outer padding over here and let's just put in ten pixels of padding on the left, we put a nice thick border on with the garish colour. Let's choose orange and make it really thick so you can see that. Just want to show you that when we copy paste those options, those different layout options will stick with the object. So there's two ways to copy paste. Ctrl C, Ctrl V is the easiest and quickest, but we can also do it with our buttons here. So if we click on the drop down button here, and go down and find the copy dashboard item, That item is not copied, it's on the clipboard. And then to paste it, I can press Ctrl plus V or I can go into the File option. Yes, so File. And you can see here, there is the option to paste or Ctrl plus V. So click on that file, paste, I get a new version up here of this. And you can see here that border, that padding has stayed exactly the same from one object, from the old object to the new object, which is really handy. Saves you having to redo that every time you want that. Also notice that the new object is floating automatically, and that's the way Tableau is designed. That kind of does make some sense rather than just shoving it in somewhere you don't know where it is, and it can kind of disappear. If we wanted to not float, so say for example, we wanted to come in over here, just hold down Shift as you move around, and maybe we want to put it in over here, and the new object will come in over there. Let me undo that. You'll also notice that when I've made that change to stop it from floating, Tableau has put in some outer padding which wasn't there before. So that wasn't on the original object, and it wasn't there in the object where it was floating. Tableau just kind of does this sometimes. So do look out for that. It's Tableau's default often when you bring a new object into the dashboard to give it those four pixels of outer padding everywhere, you're probably used to that. Just be on the lookout for that. So let's look at a much more exciting use of this. So let's just delete that off and let's pick up this entire container. So I've got an entire container here. You can see it's a vertical container. Inside that vertical container is a couple of other horizontal containers with some, if you look inside this one here, we've got a whole series of navigation buttons, and each of those have a lot of settings on them already. So we've already got where it's going to navigate to, we've got the font, we've got the size, we've got the colour of the font, we've got any tooltip we want to have on a whole bunch of choices being made here. So if I've created this overall header that I want, and then I want to place this header into another dashboard over here, then it takes a long time to build this all out. With all the different bits, all the different padding that I've got in everywhere, it just takes ages to build that all out. But with copy paste, it's just a couple of seconds. So I'm just going use Ctrl C this time. So holding down Ctrl pressing C, and this entire object's been copied. And I can paste it here on the same dashboard. I can actually go across to this dashboard here and press Ctrl plus V and it's pasted into this dashboard. In fact, we can even do this on different workbooks. So, I have a different workbook, which we'll come to later on. If I well, it's just giving me a little bit of error there. I think it's because I pasted from the wrong place. Sorry about that. If I paste here. No, it's not working. Sorry about that. We'll just leave that for now. Perhaps come back to that at the end. Curse of the demo going on there. So, you can see here it's floating. And if I want to place this into the dashboard, not to be floating but to be tiled, I can hold down SHIFT or I can just select the option here to deselect the floating. But you can see it's kind of put it in somewhere I don't necessarily want it. So let's rather hold down shift while I move this and place it here at the top. And you can see there it is. In just a couple of seconds, I've created the header all on the top here exactly the same. I don't know if you can see closely, but there's some weird pixel pieces that I don't want to be there on the top of this, that aren't here in this one. If we zoom in, you can see it's not there on that one. And that's that four pixels of outer padding that Tableau has just decided to give me. So just get rid of that. And it kind of looks the same. So do look out for that a little bit. It's not, you could call it a bug if you want, but I think it's a feature. I think it's kind of how Tableau wants to it, you just got to be aware of it. And you can see if I jump into one of these, everything's there the same as it was before, the exact same navigation, all the layout of and formatting is all the same here, formatting is the same here again. So it's a really, really useful feature, and can save you a lot of time when you're doing your development work. One thing to keep in mind is that you can't copy a container, either a horizontal or vertical container, if it has a sheet inside it. So here we have a sheet, and oops, let's just jump straight across. Sorry about that, let's just cancel that. Here you have a sheet, and there is no copy item copy on this. If I want to copy a sheet, you still the same as before you just right click on it, and you copy paste or duplicate the same as it's always been the case in Tableau. But the same again, if I pick up this entire container and I try copy this container, there will be no copy option here because there's a sheet inside the container. So if you're trying to copy paste something, it's not working, you can't find the copy button, tearing your hair out just probably what's going on is that there's a sheet somewhere inside it. So you can't copy anything that has a sheet in it, but any other objects. So what you can copy is basically anything here. So, we look down here, anything from the object menu, any of these things can be copied and pasted, but not the sheets themselves. And any horizontal vertical layer that only carries things from that again, that object menu. Okay, so that is copy pasting in a nutshell. Let's jump back into PowerPoint. And there's also some blogs that you can look at to go into that in more detail and a SysTrix video, think you'll be getting some links at some point. So the other thing to keep in mind, if we have time and there's a question on this, we can come back and have a look at this. But just going to blitz through this slide. It's basically to say, this now creates templating in a very easy and user friendly way. So what I mean by templating is creating a dashboard that can then be used as a starting point for a new developer or for a new dashboard that's been built. And then you can copy things from this template sheet to this template dashboard to start your new dashboard make things a lot quicker and simpler. A couple of best practice ideas if you're going to do that is to make sure you name everything. So Tableau doesn't name anything by default, but if I click on an object, some of it you can name it. So this one is named according to the text that's inside it, this is just called a blank, This is just called the JPEG that's in it. But you can rename each of these items to whatever you need it to be, and that can be very useful within the templating. Colour your blanks to show where the sheet should go, and provide as many combinations as possible to make that easier. So, templating is now much more user friendly, much more possible now with copy paste. So do think about that. And if you want some help with that, then reach out to Intuitworks. We can help you get up and start with some creating template dashboards as well. Next piece is another exciting one, which is map layers. I don't know if you can hear that coming out, so don't know if the weather's like your side. It's hailing like crazy where I am, but it's just been some strange weather we planned. Sorry if the noise is coming through. So we have map layers, which is not a new feature. But now with a new feature in two thousand and twenty one point four is the idea that we can create maps with many different layers with different data sources on top of each other without doing any blending, any joins, any relationships in those noodles. So, that's really exciting. So, let's jump in and have a look at that. So, here we have quite a familiar dashboard. This is a dashboard which is the America, the States, and have a profit ratio. And this is a superstore dashboard we're use for this example. And what we're going do here is we're going to imagine that we are a sales executive or maybe a marketing executive for Superstore, and we want to identify which airports would be a really great place to do some advertising. So what we're looking for is we're looking to know which airports have quite a high cancellation rates, and which of those airports are quite big, and which of those airports are within profitable states. So there's a lot of factors going on together that we want to look at altogether, looking for the perfect mesh of all of that for where we're going to put our advertising in. But we'll just do that as a vehicle to discuss this idea of map lens. So here I have a second data source. This is from Snowflake. It's actually a really, really big data source. And you'll see how quick this all happens, which is great, this feature. So you can see here there's a blue icon to say this is the data source of using samples data sources. You'll notice the absence of any orange or anything here on this data source. It's not connected at all. It's just simply been added in using the add new data source button. It's not connected at all to this data source. So, if we click onto this data source, no connections, no little link arrows going on there. And what we'll do is we'll bring in our geographic field, which in this case is destination city name, drag that into the view and you can see that add marks layer appears up here and we just drag that on. And without any sort of blending, any relationships, any joins, we'll have that new data set planted on top of this data source. And the only difference that we have here is only difference we have with this is that it's geographic, the only connection is the geographic one. So, they just overlayed one on top of each other. Think it was two separate sheets completely done with their own data source, just kind of stuck one on top of the other, but without any actual data connection going on. But we can see that pattern, we can see where we have all our cities. So just to clean this up, I've got a little group field here, which I'm going to add into the view just so we can look at just the United States going on. And I'm just going to go for wider airports, just so we can zoom in on the United States. We're just filtering out a bunch of those cities so that we don't have to be so zoomed out. So, we're zooming a bit more in just looking at the data. And the next thing we're going do is we're to look at cancellation rates. So, this cancellation rate just tells us which airports have had more cancellations than others because we figure people sitting around when they've been canceled flights might be a good target audience for our adverts. Just to show you as well on the screen, we now have two MARX cards or actually two MAC layers cards. So we've got this one here, which is the one we had before, which has got the profit ratio and states on the view. And then we've got this one here, which has just got the destination city names. In this marks card, we're going to bring the cancellation rate in, and we're going to put that on to color. And you can see here going from zero percent through to about fourteen percent, we can see where we have high cancellations. And then we're also going to bring in the size of the number of flights that go on at these airports. And I'm going to bring that on to size, so that we get an idea of the size of the flights. I've already done this once before, which is why I've got these things in. Don't worry too much about this, not really the point of it, but in case that was confusing to you. So basically, what we're showing here is the size from small airports through to ones that are at least eighty thousand big, which is what you might be interested in with enough traffic, and then those that have high cancellation rates are high color. So straight away, I can see the answer to my question. And it's here are some of the answers. So here, for example, in the state of Indiana, I've got Fort Wayne Airport, which has a cancellation rate of four percent, and has ninety six thousand flights, and it's within a profit, a high profit ratio state. So that would be one place. Another place might be here within Michigan. Here I can see there's a fairly big airport in Aspen, which has a high cancellation rate. But you can see here that it's within an unprofitable state, so I wouldn't be interested in that. So we're seeing that interplay of our different data sources. And this is really helpful for ad hoc development in this way, because we don't have to spend all that data engineering time, you don't have to, some of us would have to reach out to other departments within our companies to be able to do that to be able to do those joins or those relationships. It's some quite high level skill to be able to do those correctly in the way that we would want. And it's time consuming. It's also it's expensive in terms of the performance and creating those joints and so on. So if we don't need to actually create any combined calculations within it, then MapLayer is a great solution for us. And it's all just taken a few seconds, it's taken a couple of minutes, because I've explained it slowly, but really clickwise, probably five or six clicks in probably one minute would get you there if you knew exactly what you're looking for. So it's really, really, really, really great feature. And it just brings that geographical relationship to life that you can get from different data sources. I could now bring in a different a third data source and put another map layer on top, or I could start again with two different data sources to create some maps on it. And it just makes it a really helpful analysis of that coming together. So let's keep going. Let's jump back into PowerPoint. And let's look at our next feature over here. So, a couple more features within Tableau Desktop. Nothing groundbreaking, and nothing earth shattering with these, but interesting to know as well. I'll start at the bottom with the simpler one, which is just replay animation. So animations are a feature where when you filter something, or you change the choice or parameter and the view, the BIS changes, it does that slowly as slowly as you want to and you can see what happens. There's now a new button in Tableau where you can click to replay the animation of that change. And it can you just click that once and it just does your last the last thing you did. So just whatever filtering you change, it goes back and then filters it again and shows you that change or transition. So where animations are really useful, that can be a helpful little button when you're doing a presentation. And then another new feature is a new color palette, which has come into Tableau. So, let's have a quick look at that. So, if we go and look, for example, where can we where's the best places probably go to the map layer. So, let's go and look in here. So, if we're looking at our colour palettes, maybe not a diverging colour palette, let's look at the single colour palettes here. Or dimension, let's put, let's just start a new sheet and put, let's go to our slightly smaller data set, because that's going to be quicker for us if we were to just take our product category and put that onto colour and have a look in here, then we can see there's some new colour palettes, some lightning colour palettes, palettes which come in here, which are now native to Tableau, which match up with the colour palettes that are within Salesforce. So why does that matter? Why would that be useful? Why is that interesting? Well, basically, because if you are going to embed your dashboards into Tableau, it just makes life a bit easier within that. So that's just an opportunity for us to talk a little bit about embedding again. So as we mentioned earlier, we have a curator environment you can get in touch with us about. And within that environment, you can create all of the branding that you want around it as well as a lot of other great features. And within that curator environment, you can control everything. But what you're looking at here on the GIFs on the right are not actually curated, this is Salesforce itself. So if you are someone who has Salesforce and Tableau and you want get the most out of it, that's again an area that we can help you with. Salesforce has some native connectivity called Visualforce, which can do that for you. But then there's also some more bespoke stuff that we can help you with if the authentication that comes with that is a bit restrictive, which it can often be, we can help you with that expertise. But if we just have a quick look at what this can look like in terms of the curator environment, Our curator site, this mini site is a little bit malfunctioning at the moment. I'll show it to you, it's working for me, but we can't share that link might not work for you at this point in terms of the log ons that should be fixed soon. Just get an idea of how good it could look, you know, have all your branding that you want. And then you can have the branding set into the dashboards themselves as well. So here we have these dashboards, live dashboards that we can click and filter and so on, embedded in here. And because these have been built with Salesforce colors, me, pardon me, it just looks really good. And it's really honoring those who are using our dashboards. I know it's very easy to think like a dev and to be thinking about the data and the technical questions, but making things pretty and usable and good user journeys goes a long, long way with adoption and with success. So I do really recommend that. So anyway, that's a bit of a digression. But it's really good news that if you are a Salesforce customer that these color palettes are there native for you in Tableau already, is really handy. Okay, great, we're doing well for time. Top part at the moment. Let's go on to Tableau Server and Tableau Online. And we're going to be looking at a few different areas. So, the first two of these virtual connections and centralised row level security go hand in hand. In order to do the centralised row level security, you need to have a virtual connection. So, what is a virtual connection? This is a brand new feature from Tableau, Tableau Server and Tableau Align. And basically, what it means is that instead of doing the credentials and managing the connection to the data within Tableau Desktop, within the workbook, so workbook by workbook, and whether you're doing it on web editor, whether you're doing that on desktop and then publishing up, you no longer have to do it that way around, which is a really, really good time saver. And it's really much more robust in terms of security, not just in terms of giving you more options with row level security, but it's much more secure in terms of being able to host those credentials in a single place. So, if you can imagine, your organisation has ten or twenty or one hundred workbooks that connect us to a particular data source. And every single time that happens, every single one of those workbooks, you have to embed the credentials to allow you to pass through and connect to the data source. Now, what if the password changes? And in lots of environments that I'm privy to and work with, the password doesn't change very often. But that's not necessarily a good thing. It's because they don't want to change it because then you have to edit a connection with one hundred workbooks and let fifty developers know and all the rest of it. It's so people don't keep their security as tight as they should with changing passwords and password rotation and all the other authentication factors to be aware of. But with virtual connections, this all changes. And you also might be an organisation that has connects to multiple different data sources, maybe you've got your social data for your companies in one data source over here and with SQL, and maybe you've got another one here with Snowflake with some new POC that you're doing or some other work, and maybe you've got another data source somewhere you're on AWS. So, got all these different places, and you're managing these credentials, you're managing these relationships, all these different places, and it's hard, a new database administrator comes on, or there's different projects talking to each other, it's just really difficult to keep across all that. But if Tableau is where the data is being consumed, why not manage all that security in one single place? This is what could happen now. You create a virtual connection, you embed the security within it, and then you publish that app, and then everyone just connects rather than direct to the data source, they connect to your virtual connections. Workbook connects to the virtual connection, which connects to the data source rather than connecting direct to the data source. And then the credentials are added in at the virtual connection stage. And it means that there's a single place for someone to come on, which is Tableau Server or Tableau Online, and that's a single place they come on, and that's where they manage the passwords, they can update the password in one single place. And then that will pass through to every single workbook that's using it. And we'll look at editing data connections. Again, you can do that in one single place and everyone connects it. It's just a bit more of a one stop shop for all of your data, the back end data connectivity needs and authentication needs. You can even do some really cool things like you can rename fields for your data sources within this, all sorts of bits and pieces that might be really helpful and just do it once in one place. So please do be aware that it requires data management add on, which is a separate feature you are interested in all of this, please do get in touch or get in touch with Tableau. We can help you do that. And to the other benefits you can get with Data Management add ons, not just this feature, there's many other great features like data cataloging and so on. So you have to be up to date, you either have to go to Tableau Online, which is now up to date to twenty one point four or twenty one point four later on your server, and then have purchased data management add on, and then you have all of these great new tools. So, see a question. Does desktop version matter for virtual connection? I think you need to generally, the challenging part is having your server up to date. If your Tableau server is on two thousand and twenty one point four, then the easy part is to download the latest software to have all your developers on that. So, I think it does matter that you do need two thousand twenty one point four, but that's the less hardware around to do it. So that's usually not too much of a problem for organisations to roll that out in terms of having the latest desktop version. Okay, so let's carry on to central row level security. So just to remind you, this very much relies on virtual connection. So once you've created your virtual connection, then you can do your centralised row level security. So what is row level security? So, row level security is where you have a data set, and you have different users who are going to access the data set. Now, you might want all of those users to be able to access the data sets, you don't want some of them to not be able to, you don't want them, one group to not see it at all, one group to see all of it, it's a bit more complicated than that. You want one group to see some of it, and another group to see all of it, and another group to see a different sum of it, and another group to see a different sum of it altogether, and so on and so forth. And so row level security is where you can say, Okay, this manager manages this area of the business, so I want him to see all the rows for sales for that area in this data set, but not the rest of the rows, and so on and so forth. And so row level security has been something that's been around in Tumble for a long time. It's a really, really great feature. But now we can do this in a centralised way in, you know, on Tableau server for one set of row level security rules for one data source that everyone can connect their workbook to rather than having to repeat that row level security calculations within each and every workbook. So it's a much more robust way to do it. You can have your more expert developers and analysts who understand how the row level security works, set it up, and then everyone else can just access it and use it rather than having to have every single one of your developers understand the nuances of the role level security needs of your business. So how it works is very simple, you open your virtual connection, you select a table, and you create your policy condition, and you can test and view it. And you can do this in a couple of different ways. You can do it using some of the native Tableau calculations such as is member of or username, and you can match that to your database. So then it means that if all of the rows that have their username attached to it match their username and Tableau server that they're logging on with, then that's the rows that they're going to see. You might also bring an entitlement table in, that might be a different way to do that within it. And then that connects up to those functions as well. So yeah, it's again, a single place to have all that visibility. And you can also test out what it would look like as different users. And you can see in this picture on the right to see what they would be able to see. So the UI is really good on it actually. Then on to, I think that's one other thing, or the one thing I did want to say about virtual connections is that one of the shortfalls at the moment is that per virtual connection, so you can connect to one database and bring in loads and loads of tables from it. You have to decide together for all those tables, if it's going to be live or extract, otherwise you have to create separate virtual connections. So that's something that's maybe hopefully gonna be updated in the future. I hope Tableau will get on top of that, but that is just one shortfall to be aware of within that, is that that live or extract choice within the virtual connection is global for the virtual connection, and not per table. So you could just create separate virtual connections if that was your need, but it's a little bit of a workaround that you could do with that. Finally, on server, creating, editing published data sources. So the benefits of this, it's so much easier now, because in the past, you'd have to download a data source onto Tableau, create an extract locally, connect to it locally, do the changes you wanted to do to it, and then publish it up as loads and loads of clicks. And each one those clicks, depending on the performance, could take quite a long time, it could take minutes and minutes to complete. Now it's all possible to do on Tableau servers straight away, you can create them, you can edit them, you can rename them. And within that, you can edit the joints and relationships that are involved, you can change the connection type, you can change the data source filters, and so on. You can even change the names of some of the fields as we talked about earlier. And so that's really, really helpful. And much quicker and easier to do that on Tableau Server, that's where the data sources are going to live ultimately, if that's where you want them. And so it's better to do them right there than to have to bring them down to desktop onto your local machine, do the work there and then publish it back up. So basically just also to bear in mind that when you bring a when you're creating a data source and you bring a table in, you're looking at the superficial layer first of all where relationships take place. Can see at the top if you want to create an actual join rather than relationship, you need to double click into one of those fields to into one of those tables to create the physics to get to the physical layer, which is where the joins happen. So just be aware of that, because that's not everyone's across relationships and relationships are not always the right solution. So be aware, and then also just be careful that wherever that data source is then being used, if you create a new data source filter on it, workbook using that is going to change. So just be aware of what you're doing and the impact that is. So that's actually not a bug, that's definitely a feature, you definitely want to be able to do that, but it just speaks to your data governance and how you're going to manage that. So that's definitely important to keep in mind. Finally, Tableau Server, we're now looking at a simple process now for our connected apps. So it's much easier to do for our single sign on. You can find this in the settings, server settings. It's a much quicker and simpler way to do your authentication if you're going to be embedding, if you are involved with embedding your Tableau workbooks into your portal or wherever you're using them, and it's within server and online. And we now also are able to change the access level, as well as the domain list within that, which can be a really helpful function. So let's carry on now, we're coming into land on Tableau. So let's look at a few of their new features. First of all, I really like this new idea of a Hire Me button on Tableau Public. And I think it's just wanted to bring in here just the idea that within this, it's really important when you're hiring and when you're thinking about new analysts and new developers to bring on to be aware of the work they have done. So if you have a screening process, that's great, you definitely should have one. And this can be used to supplement that you can see what else that they've been building, see some other examples of their work. If you don't have a screening process, I would really highly recommend it. But if for some reason you can't, then this at least allows you to see a little bit of what someone has actually done rather than just can talk about, which is really important within hiring. So, that's a fun new feature on Tableau Public, you can just send them messages around hiring straight within that. Other new features just to run through, as you saw in the opening video, some new metrics improvement, you can change a lot of new features on it, comparison, the colors, the date ranges. And it's just with in terms of embedding it, you can embed it straight to Slack. You can you can send and share it on Slack and with email as well. So I'm not gonna have time to go into what metrics are on this, but if you're interested in that, we can send you some more links on that and show you a bit more about what you can do there. The mobile app has got some new cleaner areas such as what's been shared with you and collections, which you can go straight to on your home page. Field lineage is now global, so if you make a change within your data catalogue, then that's going to carry through to everywhere else. And the web edit has been slightly improved that the parameter and date fields have a few more formatting options. So that is good. More and more stuff coming on web edits slowly catching up. Tableau Prep's had some updates as well, particularly with parameters and tiling. So with parameters, you can build your flow, and then you might know that one flow that you're going to want to build, you're to want to change a certain field for whatever reason, whether it's an input field or an output field or a cleaning step or anything within your process within your prep, then you can now parameterize that so that it's very simple to change a parameter and maybe that you can build that parameter in multiple stages within your flow, change the parameter in one place, press play, and straight away, it's kind of production ready for that change that you want. That's a nice useful feature if you're going to be doing sort of dynamic prep flows that need to change based on certain user choices. And tiling as well, just new field and group by buckets, which make things a lot simpler within that. Slack, we talk a bit more about that, about the metrics. And you can also share more and more insights, not just the Askmetrics, but your dashboards as well on Slack, which is really great. So this is particularly useful within the Ask Data. And that's really helpful for developers who are doing that kind of research into the data, and wanting to find things out or managers or non data personnel who are looking in and want to share that quickly and easily Slack is a great place to be able to do those kinds of insight sharing. Accelerators. So, let's look out and have a quick look here. So, accelerators are a great new feature within, or a feature that's kind of been rebranded and relaunched within Tableau. It's not working for me, but let's just search for it. If you just type in Tableau and accelerators, that will be the first one there. Actually, that's the right one. So, we want to go to the Extension gallery. Exchange. Nope. Why am I not getting the right link? Today is not my day. Just try Tableau Exchange. Open to this. There we go, Tableau Exchange, exchange. Tableau dot com, and you click here on the accelerators. And these are just downloadable dashboards, which have dummy data, which is very easily replaced. So you can see here, there's different dummy data sources that are there from LinkedIn through to Salesforce. And if you just download this and you download the dashboard, then you can just replace the data source, the dummy data source with your own Salesforce data or LinkedIn data or Marketo data, whatever it is. And you're up and ready to go to get some insights already. If I found the right words here, they are good, and they're really useful kickstarts, but there is sort of our internal perspective in Interworks is that there's definitely more that can be done. And definitely deeper insights and better UI that can be brought out of some of that data. So if you're looking for that kind of level on from that, then please do get in touch with us and we can help get you started with some of your dashboards. Great. Moving on. So just to finish off our presentation today, we're going to be looking at a few features outside of Tableau. So we just want to keep our Tableau audience aware of the fact that we are involved in a whole heap of different technologies and what can be done in different areas as well, which can be added on outside of Tableau. So in this case, we're going to showcase Snowflake a little bit. Because we're looking quite a lot at data security and different features within Virtual Connection, want show you an extra feature that's outside of Tableau to bring in, which is data masking. So let's have a look here. So first of all, why would we need data masking? And why would we need to think about data security features? So there's so many reasons. The data quality as well as data security and also compliance and how we do this. There's a lot of different ways and a lot of things to think about within our data governance, including discovery, how we define and classify things and make sure that that's sort of disseminated and best practice is collected across our organisation, how we apply that and also how we continue to iterate and monitor that. So there's a lot of different features within Snowflake. A few of those can be copied and or can be handled in Tableau itself. So object level security, row level security can also be handled within Tableau. So you can deny people access to dashboards based on their user groups. And again, we can do row level security as we talked about earlier. One thing we cannot do in Tableau is column level security, or data masking. So, data masking or CLS is when you want to condition include data in the results of your query. So this is letting some users have access to some columns, but not access to others. So this is really helpful masking and hiding sensitive information, but providing it where it is appropriate. So we're not going to really do too much about the how, but we're going to look at sort of what can be possible here. And Snowflake has functions that allow this. So for example, if we had salaries within us, and you wanted people to be able to see the salary of those and their team, but you didn't want to create different data sources again and again, for all sorts of different users, you just wanted to keep it in a single data source, you could mask columns for some users, but not for others. And it's really in conjunction with row level security, you kind of want getting down to what Snowflake calls cell level security, which is really done at granular level of what can be identifiable and not identifiable. You can choose how you mask it or what you put in. So let's look at an example of this. So here we have a employee logging into using the data sets, and we're using me for this example. So there I am, Rowan Bradnam. And I am the employee, well, I'm in the team of Dan. So Dan's my boss, and I am Kevin's boss. Okay, I wish that was the case in real life, that's not. As this user, I can see all my information. So I can see everything on my row, I can see my date of birth, I can see my performance, and I can see what my role is. But I can't see everything for who my manager So my manager ID is number two here, which is employee ID number two is Dan. So I can see some of his stuff, but I can't even see when he's born, I can't see what his performance is like, etc, etc. But I can see a lot for people who I'm responsible for. So I'm responsible for Kevin. And so I can't see his date of birth, because maybe that's sensitive information, I'm not sure. But I can see his performance, he's actually doing better than me, which is not surprising. And I can see who his manager is, which is me, as you can see, and so on. So it's just the ability to control that. And then for the rest of the data set, I can't see anything at all. So but maybe I would be able to maybe I need to go see the first name and last name for every one of my companies. And maybe I would unmask those two columns, I'd just be masking the performance in the role. So it just depends on your needs as to what you're going do. So I'm sure you can think of your own business, and what would be helpful and so on. But if that kind of flexibility and ability to create just one curated data source without having to do loads and loads of different ones to give different people access to, and then just use your data policy conditions. You don't have to do this. This wouldn't be done with bespoke coding, like if Rowan then this, and if Kevin then this, and if Dan, then this. It would just be simply using these keys going from the manager ID to the employee ID and giving permissions upstream and downstream of that. So in terms of actually going through and creating the permissions and coding it in, wouldn't take, we're not looking at hundreds of lines of codes for each employee, we're just looking at a set of rules, a few lines of code for that set of rules, which would then apply to everyone, and then give you the data masking that you're after. So if that sort of data security is of value, and that's something you're interested in, then do get in touch, we can help you with that. And that's an area if you've got Snowflake that we can help you with, or it might be a reason to give Snowflake a try. Again, we can do a POC for you or introduce and kind of see what is possible on that side. A couple of other tools that integrate with Snowflake if you need a bit something even further is Snowflake is a really friendly tool that does integrate really well with a lot of good technology. So there's a list of them, I won't read them out. But just to say that going even further, going even deeper, Snowflake can help you with that as well. Great. So we've got five minutes left. I did see that there was one question which I kind of answered, which I think was about the desktop version. I think there was a second question here in the QA which I Yep, so the first question is, will the map layer feature work with published data sources as well? Okay, with published data sources. You can connect any data sources you can connect to, you can use the map layers feature. So, whether you're using an Excel, you're using different CSVs, which you haven't connected on your own desktop, or whether you're different data sources from Tableau Server, whatever you're bringing in, just the same way you'd bring in any data source, any data source that you're able to connect to in Tableau, you can bring in and then you can bring those map layer features in that way. Yeah. Wonderful. The other question is one that I can actually answer. Yes, this webinar is being recorded and we will be sending copies out to everybody who registered, even if you have attended for today. With that let's see if we've got any more questions that need to be answered so we'll keep lines open for a couple more moments so if you do have a question please feel free to pop it in the Q and A. And just seeing here from Mario, I'm not sure how to see it now. I'm sorry. If you can't copy the links or it's not working, just send us an email and we'll send you those links across as well. Wonderful, we've had another question through. Renaming a column in a published data source is not getting reflected in all the connected workbooks. Any easy workarounds for this? So, I think it should do. It's possible, my guess here is perhaps that the workbooks have not refreshed their connection to that original data source, so they're still using the temporary extract on the system that they're on the desktop that they're on. So if you refresh all the extracts within the workbook, that should do it for you. Because if they connect to the published data source not to the data source saying it shouldn't need anything else. So I think it is just a case of refreshing those workbooks or refreshing the extracts on those workbooks. If they're connected live, definitely shouldn't be seeing that issue. Presumably connected on extract. Anything else? Yeah, Sean's also putting in that, yeah, there could be an alias locally on the workbook as well, is doing the renaming. So that's also possible. It doesn't look like we have any other questions at the moment. But as Rowan said please feel free to reach out to us via the website and we'll be happy to answer any questions that you may have. With that I think we'll draw the webinar to a close. We will be sending you a follow-up email with, as I said, the webinar replay along with the links that you've seen posted in the chat today. But thank you so much for your attendance today and we look forward to welcoming you on future webinars.