- Good afternoon everyone. My name is Robert Barmentloo. It is showing on the screen, this is great. I'm very conscious of the fact that I might be somewhat the last one between, maybe the drinks, the going into the city and everything. I'll try to make it super engaging. What I'll do is I'll quickly show three slides and then I immediately jump into a demo. The demo I'm going to do live and I'm also conscious of the fact that today there are some wifi issues, so let's hope that everything runs okay, but I expect it will be fine. The demo I will be doing for platform analytics on the Washington instance. The reason I'm doing it on Washington is because most likely many of you are, maybe already on Washington or you're about to get into Washington, so it will be super close by. So quickly on what to expect. There's a lot to show. I'm going to go super fast. So one thing that I want to mention is, during the conference, I'll be at the main area, the expo, the Now Platform area. There's a booth there for Now Platform Analytics. I'll be there and I'll be happy to take you furthermore in detail on any of these features that I'm actually showing here on the screen. Onto the next, there's a QR code here. I will put this one on after the demo. There's tons of great content within these QR codes, but, okay, here we are. So platform analytics experience. The screen I'm showing here on the screen or the visual you see here on the screens already some analytics that you see embedded like infused within, in this case a landing page. What I'll be talking about platform analytics is what you might be familiar with on performance analytics and reporting and dashboards. The reason I'm calling it platform analytics is because we're positioning it slightly different. We are literally looking at it from a more unified analytics is part of the platform type of experience. It's close to your workspaces, it's close to your applications, it's close to your data because that's where it should be. We want to get away from the experiences where before maybe in your core UI, you would have to go to performance analytics and it almost felt like a disjointed application on top of the platform or reporting or dashboards into one unified experience. Some of these things you might actually already have or you could have already seen as of the Tokyo release as part of the, what we call the platform analytics workspace. There was a workspace over there. Now what we did with Washington, we actually brought that experience directly in the left side menu over here and let me type it to go to platform analytics. Here it is. The reason we're taking it out of the workspace is because analytics in its essence isn't really a workspace. It's not really a workflow that has a workflow start and a workflow end that serves a single persona. It actually serves many personas. So we think it should be part of the left side menu navigation, it should be part of the generic platform as a whole. And that's what we're doing here. From here I'm going into what we call the analytics center. And the analytics center is the, let's say the one stop shop for all your analytics. So we're showing things here like the bookmarked, dashboards, bookmarked data visualizations, maybe your certified dashboards or your certified data visualizations. Anything to immediately kickstart with your analytics. Quickly, I'll go actually create a new data visualization and brings me to this visualization designer. Now, this visualization designer, because it's unified, because it's data source agnostic, this is actually the only visual designer that you need as part of platform analytics. So there's no longer that you have to go to maybe a PA widget form to create a performance analytics indicator or maybe the report designer to create a report. This is the single one. And when I start adding a data source, you can actually immediately see a set of out of the box data source that are installed on my instance over here, which is user experience analytics. That's usage analytics data. There's a metric base, there is indicator, that's your performance analytics data. The data stored over time in scores and there's tables. So whenever I grab one for example, this, some age of open request, which is a pretty good KPI. It gives me this preview, I will add the source and it brings me into this visual designer. And based on the data source that I chose, the options that I get within the visual designer are shown. So in this case, because I took an indicator, an indicator source or an indicator as the data source of the data visualization I'd like to create, it actually comes immediately out of the box with all these additional settings that I can apply because this is indicator data. So here it is, and for example, for this one, because it's stored data over time, you can immediately see something happening over here. I can go to additional settings, I can do things like, let me show the target, let me show forecasting, let me show the trend, maybe the confidence bend and immediately you see something happening here that you could potentially take some meaningful Insights off. Then again and again, if I would've taken a table like a reporting glide table as the data source, I wouldn't have had these options. But this visual designer is the only designer that you need because it's unified and consistent. Okay, I'll go back and I'll go into what we call the new dashboards or the improved dashboards. This is what we call the simple inline editor dashboards. And let me quickly close this one. There are many new things and many improved things around this dashboard that I think the biggest improvement that this dashboard brings is the fact that editing while building the dashboard, while configuring the dashboard, you stay in context. Again, if I would compare it with that, what we would have on the core UI experience, the responsive dashboards there, they are great, but what they are not so good at is whenever I want to add a content, it basically takes me out of that dashboard into another experience where I create the analytics and then brings me back into the dashboard. And what this one does is actually when I go to edit mode here, I still get that same drag and drop capability. I can make it larger or smaller and everything, but also if I want to create a new element and in this case I'll create a new data visualization, it actually allows me to create the data visualization in context of the rest of the dashboard. So that will absolutely help you with creating these better data visual experiences as a whole. And again, it's showing that same site panel there that you also saw in that visual designer. So again, that consistency is coming back and we'll hopefully also with that, bring that extra adoption. Let me edit the, let me exit the edit mode. A few other things. One amazing new feature that comes with this new dashboard is that we're making use of what we call the unified filter component. So these unified filter components over here, if I look at this dashboard and for example, I select a filter being, let's say IT service desk and I apply that one, that it's applying to all the widgets on the dashboard. So there's no longer the difference that for example, in the core UI, I would need interactive filters for my reporting data and breakdown filters for my performance analytics data. These unified filters, they filter everything. And next to that one, there's actually a lot of extra capabilities that we immediately brought with these dashboards. There's duplication, there is, for example, you can duplicate a widget, you can duplicate a tab, you can duplicate an entire dashboard. One thing that I specifically like and that I hope that you'll, that will resonate is the fact that if I would actually share this dashboard with someone, for example, I would bring it to Abel Tuter. Here we go. And I can say whether he is a viewer or an editor of the dashboard, the moment I share it with Abel, I no longer have to share the individual reports or data visualizations underneath. (crowd applauds and cheers) It immediately cascades viewing rights to all the individual visualizations underneath. And the fact this reaction, we know that was an issue. We suffered that issue ourselves. Like you would build something, you would share it and oh, yeah, I forgot. That one is fixed. All right, a few more things. There is, you can see this Insights with this visual queue over here. When I open the Insight site panel, the thing what it actually does is it's lifting, it surfacing the Insights that are actually in this dashboard through the indicators and through any of the data visualizations. It's actually surfacing those Insights up. So for example, you can see many of them there, they're actually telling what's happening here in the data of this dashboard and not requiring you to actually go into all of them. This one is actually telling what's going on over here. So for example, I will look at one being this one on summed reassignment of, I think it's open and overdue incidents. Let's click on that one because we want Insights to be actionable. So from here it actually brings me to what we call KPI details. And KPI details, you might be familiar with what we in the core UI used to call the Analytics Hub, but KPI details is better. So what I'll do here is I will actually, again for this one also, add some of these things like forecasting and trending and let's add some statistics. And it's actually already showing on this indicator, which is some reassignments of open and overdue that's trending upwards, which is a bad thing in this case for this indicator because more reassignments mean less happier end users and more costs. So in this case, something's happening here with this indicator. What's also happening here is that it actually has a signal to this indicator and these signals they show actually a better thing that is actually happening within the indicator itself. So if I would click this one, it now shows me this process behavior chart of some data moving over time, actually always in the, let's say the expected range and suddenly there's something out of the expected. So we usually say with KPI signals, we say, it's noise canceling for your data. So we're filtering out the data noise because data that's always moving in the same direction is basically data noise. That's not the thing that you want to act upon. You want to act upon those first three data points that you see suddenly going the other route. So if I hover over, I would see that April 29 is actually the date that suddenly we weren't trending downwards anymore, we went up. So this is the moment that you start to figure out like, "Okay, what was happening on that day?" Like, "How can we figure out "and let's get in contact with those that own those, "that process to understand what happened "and how can we steer it into better direction?" All right. From there, and I'll quickly show this one because this tab here has, let me close this one, has a process mining map on it. So what I just mentioned about that Insight and about that signal, in combination with process mining gets super powerful because performance analytics capabilities, they can make something clear, that something is happening. Process mining will actually answer what happened. It will actually explain because you actually have that mine data underneath. So always see if you can use it in combination with one another. Now meaningful Insights or just having data information and meaningful Insights, that's just one. Actually want to do of course actions on top of it. And what we also have with Washington is actually something super cool where we say, and I'll go to Workflow studio for that. What you can do now is you can actually grab an Insight or something that happened within your analytics and you can tie it into a workflow action and then it becomes really this full end-to-end workflow of something happening inside your data and some automated action happening based on that. So what I'll show it here on the instance, what I'll do is I'll create a new flow and let's go for Demo K24. Let's edit the flow and I can add a trigger. And for the trigger I'm now actually using proactive analytics or platform analytics. And here there is a proactive analytics type of trigger. And underneath I can now select one of these six out of the box triggers that we have. So let's say in this case, I want predictive target missed and it comes with these conditions. So for example, for the indicator, I'll take the same one as we were looking at before, the summed reassignment. And I'll actually say that maybe if the predicted gap is let's say greater than five, I'll remove this one and the event date should probably be not immediately, but maybe after next month. So there's already my trigger. So if this thing happens that in a month our predictive target has a greater gap than five something happened and that something can be anything because workflow studio basically allows anything, it could trigger up any type of action as part of your workspaces or any type of application that you might have. In this case, I can do something super simple as in maybe send an SMS, maybe send an SMS to the person involved like, "Hey, you're missing your target, take action." So there's a nice flow of something learning, a meaningful Insight that we learned into taking action on top of that Insight. So here we go. And it's already there. So now I can just add the person. Let's say it's Abel Tuter again with a certain message and then it's done. Now to wrap up, there is one more thing that I want to show and the one more thing is all the things that I just showed in this demo are, in what we call the platform analytics experience, which might not be your current world because you would say, "It's nice, I know it's out there, "but it's not where our current data is." So for that, also as of Washington, we are delivering something that we are calling the migration center and it's here. And this migration center you can actually use to grab your existing content, whether you do it in bulk or you do it selective, maybe for a certain department, for a certain group. And you can start moving that into platform analytics and then suddenly utilize all the things that I just showed with your own data, with your own dashboards, with your own performance analytics, widgets, with your own reports, basically with anything and can start utilizing this. So this is there as of Washington, I can quickly show a result of of that. Let's go here. This screen is actually on an instance that random migration and once you run the migration, it actually gives this UI where you can see the comparison also from your before and after state. So for example, I'll grab this one for asset overview and it actually already sees, or it actually already shows the migrated dashboard over here. So I can scroll down and you can see a migrated dashboard. This is in the platform analytics experience and I can switch here into the core UI dashboard. This is the same dashboard that was actually in the current core UI experience. If it loads. I hope it loads. It doesn't load. No it's, I don't think it's working. But basically what it does is you can select either the full group or you can select a part of it to start moving that content into platform analytics and with that really grab the value from any, from all the features and the capabilities that I just showed. There it is. So now quickly show both the examples, there's the new and there is the old. So that will hopefully enable you to really start utilizing that value. That was it. Let me quickly put this slide on again in case you still want to make a photo. Please come by at the booth. I can go in super detail of many of those features and have a great rest of the conference. (crowd applauds)