Neal Cauley: Thank you everyone for joining us in the year 2022. This is awesome for all of us to be back in a room. My name is Neal Cauley. I'm a worldwide go to market leader for QuickSight.

Jesse Gebhardt: Hi everyone. My name is Jesse Gebhardt. I lead the QuickSight solution architecture team.

Neal: Let's get started here. From a gender perspective, we're gonna cover off on a couple of different areas. We're gonna deep dive into some of the new capabilities. There's gonna be some demoing and talking that Jesse is gonna follow up with and then I plan to recap the session.

So from a legacy perspective, you know, we've all had scenarios in which we've had these silo environments where you gotta log into tool A to do your reporting, you gotta log in to maybe two or three tools for tool B to do your dashboarding. Then there may be like a embedded analytics tool that you're using. And then of course, if you want to do some of the ML capabilities that's gonna, you know, be another tool or set of tools, right?

And so with QuickSight, it's gonna provide you that unified BI experience, same UI and there's gonna be no additional training required because you're gonna have the same UI experience.

In 2022 we announced 1 billion rows with paginated reporting, one click embedding as well as the ability to programmatically move dashboards. We're gonna talk about enhanced APIs as well.

So following that from a theme perspective, areas of investment - empowering end users, right? So providing a rich reader experience, involving customization and the richness of the author reports and then from a programmatic control for developers, AWS has always been builder centric. So making sure that we provide those framework of capabilities for that. And then in terms of the governance piece, visibility and control and automation around the ability to scale for admins.

I'll turn it over to Jesse, he's gonna take you through a demo and then double click on some of those features.

Jesse: Starting out with our first major theme of investment around empowering end users. So these are gonna be things that are focused more on the consumers, the readers of what we call QuickSight.

Two major things that we launched this week that you may have seen in Adam's keynote on Tuesday - Amazon QuickSight Q is the natural language query part of QuickSight where anyone with no technical skills can type a question out in plain English using natural language and get an answer.

So we added a couple of new question types to Q this week. One of them being forecasting. So on any time series data, being able to forecast that out into the future. And the second one which I think is even more powerful is this why question type.

So if you do see something that went up or went down in the data, that's not the beginning or the end of your questioning, right? That usually starts a new question path of you want to figure out what caused that to happen. So why basically runs something similar to the contribution analysis that we have that was sitting behind anomaly detection and some of the time series analysis. But you can answer why questions using Q as well now.

Users can get insights faster. So when they ask questions with Q, they now have the ability to pin them to what we call a pin board so that they're easily more retrieved for any future access.

You're going to see increased performance across the board in terms of insights in new ways. So something that Neil alluded to is that we launched paginated reporting this week. So that went out on Monday night. We're gonna show you a much deeper demo of paginated reporting, but from the end user perspective, they can get these either PDFs or CSV outputs emailed to them on a custom schedule. And I think one of the coolest parts of it is that we actually archive those up to a year in the past. So you can do point in time reporting.

Accessibility has been a big area investment and will continue to be going forward. We made some big strides on the accessibility of our dashboards. We've done some things in the area of customization and giving more power to these end users and more customization capabilities. Again, is gonna be a big theme for us going into next year too.

So throughout this part of the presentation, what I'm gonna do is we're gonna go through one slide of like here's the persona of what we're developing for. So in this case, the end user and then we're gonna demo some of those features and then we'll come back to the slide and then go through the author stuff, demo, admin stuff, demo.

So let's switch over...

Here I've got an example dashboard. So maybe just taking one step back, you know, a big part of Q is dashboards will get you so far, right? We as dashboard designers, we try to build as many sets of filters and drill downs and ways to answer follow up questions as we can. But inevitably, it's gonna dead end somewhere. Like there's no way that it's not realistic to build a dashboard that can answer every single question under the sun. So that's really where Q comes in is to be able to let users answer their own questions when they see something interesting in a dashboard.

So in this case, I'm looking at a fictitious sales data from my software provider, something like an AWS type of customer. So let's start with, show me, you know, I wanna look into our monthly sales trends. I wanna focus on a couple of our regions here being the Americas and EMEA. So I'm looking for a monthly trend here.

So I do notice here that like typically I have a spike in December, but in this case, I had a spike in November but it kind of dropped in December for EMEA. So that might be something I want to dig into. So here's where a why question might come in - why did sales drop in EMEA in December 2020?

So what Q's doing now is it scans the other dimensions from the data and the actual values in each one of those dimensions to figure out what were the biggest drivers contributors to either that spike or that drop increase or decrease.

So it found from a city perspective, London had the largest decrease. So it went down 46% and that was responsible for 55% of that overall decrease that we were seeing.

So now I've gained some insight into why we went down in 2020. Maybe I wanna see where we're going next. So now I can ask for something like show me a forecast for monthly sales, and let's focus it on EMEA.

So the forecasting that you have available to you as an author also comes through to the reader's experience. You can add as many types of filters so you can see here that it's filtered to EMEA. We actually added also an answer breakdown section here for the end users to tell them like exactly what we were doing when we created this answer so that it can earn some trust with them.

Maybe my last question might be something like, you know, in order to achieve that growth, that we're seeing the forecast out for 2023 maybe I want to see who spent the most in current periods to see who I wanna spend my efforts on in terms of contacting them for next year. So let's ask something like who spent the most in 2022.

So I'll get a list of our top customers. And if this is something that I want to come back to later, or maybe I even want to share it with someone else. A couple of other new things that we added to Q is this concept of a pin board. So if I go and add this to my pin board, this is specific to me to my user. So you see that I've added some pins before, but here's the latest visual that we added to the pin board.

So whenever I come back, it's always gonna have these and it's the data refreshes, these visuals are gonna refresh as well, but it's a really quick and easy way for me to get to those insights very quickly. And then lastly, if this is something really interesting that I want to send to somebody else I also have the option to share the visual, which is just gonna give me a URL as long as someone has access to that same topic, then when they click this link, it'll basically open Q in their QuickSight console with that question preloaded in there.

Okay, so those are the key highlights on the end user side. Let's flip back to our slides here.

So moving on to the dashboard developers or the authors, the analysts. So we got two slides here on the analyst. The first is more focused on the visualization features and the second more on like data, data preparation, data connectivity and such.

So again hitting on paginated reports here, but more from the authoring side of this. So traditionally, these type of operational reports and your interactive dashboards, you usually build them in two different platforms, two different tools. So I think one nice benefit which Neil called out as well is that this is a single authoring experience for both dashboards and for operational reports.

You can configure custom schedules. In the demo, you'll see the highly formatted parts of it where I can have like headers and footers and sections and page breaks. You can choose which visuals you wanna actually include CSV files of as well. But we'll, we'll jump into the paginated reports in a bit in terms of a couple different ways of delivering insights to the users.

One click is a huge step forward in, in terms of the all the embedding experience. So QuickSight has always had embedding. But it always was something more, you know, a developer would do API driven type of operations, which makes sense if I'm building this into my product. But if there's use cases where just me as an analyst, I want to go put something into a wiki internally, into Salesforce, you know, some kind of internal application. That one click embedding really enables any analyst to put these in front of the users wherever they are as part of.

Yeah, I guess kind of tied to, to the paginated reports release. We're also allowing authors to publish just the specific sheets when they go to publish something as a dashboard. So that means that I could have a single analysis and I could publish, you know, five different dashboards each with a different combination of sheets in them. Whereas previously all the sheets you had in your analysis would always go to the dashboard. So it just makes it nicer like I could have kind of a scratch sheet where I'm playing around and doing testing some new things out. But when I go to actually publish the dashboard, I don't have to include that test sheet in there.

Also, as I'm publishing, this was another major announcement this last week is automated Q topic creation. So Q topics, it's not like it took a lot of work before. But now when I go to publish a new dashboard, you'll see a new check box in there where you can either tie that to an existing Q topic or you can ask it to make you a new Q topic on the fly.

So then it's gonna scan the data sets that you're using in the analysis, look at some of the qualitative aspects of those fields. And it will assign some of those semantic types that you used to do manually when you're creating topics manually. But in any case, just super easy way of like, hey, I built a dashboard, I'm publishing, I'm sharing to some other people. Again, maybe it doesn't answer every question that they might have. So I'm just gonna ask it to create a Q topic on the fly and it's automatically associated with that dashboard.

And then just paginated report just calling out that that's also a new, also a new delivery method particularly on the tables and pivot tables type of visualizations.

We did a lot of investment. And this doesn't really account for all of the things that happened this year. We're really just focusing on stuff from the last month or two. But line bar charts are something that I'm gonna show you today that's in preview. Earlier in the year, we did the images and links in the tables and pivot tables, increased field limit, just mean that you can put more fields into the pivot tables for more dense and rich displays.

And then on the new visuals and enhancements to our existing ones. First off on maps, we added some new base layers to the maps. You know what a pet peeve of mine is. Whenever I use a dark theme on my dashboards, the maps always kind of stood out like a sore thumb because they were always a light, light gray background. So there's now a dark theme map, there's a satellite image map, there's a street view map. So you've got some customization capabilities there.

Something just from this past week is doing point clusters. So if you have a really dense amount of data on your maps, you know, you're plotting down to a city level or a postcode level and you're zoomed out pretty far. You have a lot of overlapping points, right? It's hard to see all that data. So I think these are gonna make a lot more sense when I show them to you. But point clusters will kind of bring, you could say that it'll say, you know, I have 40 points in this area and then as you zoom in, they'll kind of break apart once it has more space to display them.

Uh radar charts, brand new chart type that, that uh that's being added text boxes. You know why you could use insights as a, as a way to add custom text to your dashboards before just making it a lot easier, a lot more intuitive to add text with a new object type there.

Um and small multiples is actually a pretty big feature. Like a lot of our customers have been waiting for this for, for years and uh it's not a small feature either. So it's some, it's for doing comparative analysis as it says on the slide here. Um rather than having to say i would have some line charts and i wanna see the line chart one for every country that i have in my data rather than having to make a separate visual for every single country i can say like here's my chart, make a matrix of these uh by some value in my dimension. So kind of will trellis them all out. But in any case, i think it's gonna help once you see some of these in action.

So let's switch back over here. All right. So i'll first show you a couple of finished examples of these, but then we'll walk through quickly um check in time how uh actually build some of these on the fly as well.

Uh so world cup is going on right now. So we did a quick analysis on some of the, the top players in the world cup. So these are the 100 best players in the world. So a couple of things to highlight here. So this is the one of the new radar charts. Uh it's also called a spider chart. There's, there's a couple of different names for it. But uh in, in quicksight, we're calling it a radar chart.

Uh small multiples. There is one example down here on the bottom where i'm looking at how many players of each type of position, you know, attackers, midfielders, defenders do each country have in the top 100 players. But this is really just one chart, you know, you see as i as i select it, it's just a bar chart, but i've got a new field well here where i can say make small multis of all of these for each country.

Uh so we're doing small multiples at least in this first release on bar charts, line charts and pi pie charts, i think. But we are gonna enable these on, on all visuals.

Uh something that isn't new this week necessarily, but i think it's just worth kind of highlighting. is this again, some of the investments that we've been making in the pit tables and pivot tables. So putting in line images, uh hyperlinks and so on.

Uh here i can actually jump out and go view their player page again, not new, but just kind of some cool stuff you can do with tables to really just make them feel more like a, a full blown app just themselves.

Uh oops, that's not what i wanted to do just to kind of show you how those images get in there. So as you put all your fields in your field, well, it's like a couple of these are actually url s. So player photo is a url. Country flag is a url. And when you go to field styling, if i go pick one of those fields like country flag, notice that i said for url options to show that url actually as an image or you could show it as a hyperlink, so someone could go click on it. But this is what the actual data looks like underneath.

Uh even just like small stuff like changing the row heights, adding uh text wrap. Like those are things that were added even just in this last year. All right. So let's do a couple of these from scratch to explore some of the deeper options in there.

So let's go add a new visual here. So we'll start with some small multiples. Let's go grab our profit margin. Look at that over time. Maybe quarterly.

Uh and before i show you the multiples, we also added some line styling options. So if you come in here into the data series, i only have one metric on here. That's why i only see 11 data series.

Uh but this is brand new this past month where i can change this line styles. Like do i want to smooth it out? Do i want to do a step line chart where things are just unique values uh and they, they act more like a, you know, a square step.

Um you know, if i have many different time series on the same line chart, like maybe you got five different things on there. It's really common to try and uh visually depict one from another using different line styles, like making them uh dash lines or dotted lines or changing the width of the line in addition to changing the color of it, right?

So just tons of new options there for the styling, you know, i could even just turn off the line and just put the the dots there. Like a lot of, you know, a lot of old excel charts, like you got bars and then you have lines and then sometimes you have like dots on some of those that represent something else. So just a ton of flexibility to, to make some, you know, super combo charts in a way.

Uh but that's not really what i was trying to show you what we're, what we're going towards is, is small multiples. So let's go add another dimension up here. Uh let's go grab our products.

So like, you know, let's pretend we're trying to do some analysis on figuring out like what are our most profitable products. So we'll show you a couple of different ways that you'll be able to do that with some of these new features.

So i'm looking at our profit margin by product. Uh you know, i'm messing around with the styling, so it's maybe not as easy to see anymore. Let's go change that back. All right.

So anything above the line, positive profit margin. So i can see, i got a problem with my big old database product again here. Uh but just a really easy way to just kinda add multiple permutations of a visual.

Uh so just super quick uh visual interpretation of a lot of data at one time. So that's small multiples.

Uh let's go check out the radar chart. Uh so you saw in the slides that some of these are in preview, expect them in like the coming weeks, like they're, they're, they're very, very near term.

Uh but if you go into quick site after the session today, you're not gonna see the radar chart just to be clear. Uh but if you come talk to us afterwards, we can, we can help you turn it on.

So radar charts, you can either give it a bunch of different metrics. Like i'll take, you know, our profit margin and the profit itself, the quantity orders the number of sales. Let's maybe look at the average discount we're applying to each of those. And maybe i wanna look at that across all of my segments or uh we're doing profit analysis, all my products actually.

Uh so for instance, like this green one contact matcher, we're selling a lot of it, huge quantity, very high discount. We were selling a lot. So sales are pretty high. But look at where it's at from a, from a profitability and a profit margin perspective. So we might conclude that because it was such a high discount. That's why it's kind of dragging it in on the profitability side, just one application of using a radar chart, but really good for multi, multi dimensional multi metric kind of analysis.

Uh oops, i hit my home button one sec. All right. Let's take a look at some of the table options. So let's grab our products, the numbers s yeah, simple table here.

Uh one of the things you saw in the slide was adding uh visuals actually to the tables themselves. So you could always do conditional formatting and icons and colors and things like that. Uh but adding in line bar charts is something that we're adding very soon here.

So here under visuals, i can say i want to add data bars, you know, similar to like a spark line where i might have a little time trend there. Uh but not something over time like i just want to actually show the value itself.

So if i could, i'll say i wanna go pick my sales field and also i'll get kind of little in line bar charts. Let's maybe do on a gray scale inside my table itself. Kind of neat. New addition to just spice up your tables a little bit.

Uh what else? Ok. Let's touch on maps real quick and then we'll get to reporting. So as i mentioned in the new point maps or in in maps when you have really high density.

Uh yeah, let's even just start with something like this. So here's all of the cities where i have customers around the world, you could see ton of density here in, in europe and it's really kind of hard to see where they're all at.

So if i go to my formatting options here, there's a new section here for points where is basic is is what the old default is or current default still. Ah but there's a new option there that's called cluster points.

So now it's going to group them together into kind of bubbles and then as you zoom in and it has more room, it'll start to break them apart. Uh kind of sort of similar, maybe you're looking at properties on zillow or some uh you know, looking at houses and they've got a similar kind of experience to this, you know, there's x amount of properties in this area and then as you zoom in it kind of kind of breaks them apart and then a quick nod on the base maps.

So here's where you can change the different types of base maps. So, satellite imagery or the dark theme, particularly if you're in like transportation, logistics, having the street maps on there is nice. All right.

So uh pated reporting, let's let's take a look at that. So we've been doing kind of an analysis of our profitability and our sales maybe as an analyst, i now wanna go uh design a new report that's gonna go out to all of my sales leaders.

So maybe i would have gone and done that in a totally different product before. But here as i go to make a new sheet and we keep talking about like this is all in one u i, it's all in one u i notice when you make a new sheet now you can choose what type of layout you want for the sheet. Is it gonna be a dashboard? Is it gonna be something interactive or do you want it to be something that's gonna be wind up being printed out?

So here's this new page report here, you know, pick your, your paper style and uh size portrait landscape. So it looks a little different than what a normal analysis sheet looks like you've got these new concepts here, like headers and sections and footers.

Um but you have the same exact visual types that, that you do on a normal dashboard. So for instance, like in this section here, let's go start to build out like a little sales performance table.

So we'll do this like a little quarterly sales report, add a filter just for this year. Uh let's go this year. Cool. So now i just got these four quarters to actually do it at a quarter level.

So i i'm not even going to mess around with the head in the headers or anything quite yet, but notice this as i click away there that it says on the bottom here, prints across pages.

So it's not that you couldn't print stuff to pdf in quicksight before, but it was always like a what you see is what you get. So if you had, if you just had visualizations on there and i, what i mean by that is not tables like the normal pdf printing worked fine. But if you had tables that had long scrolls, like thousands, tens of thousands of records in them, whenever you'd print it as a pdf, you would just get what fit on the screen at the time.

It doesn't like permutate through all of the data and print them all across different pages. So that's, that's a big part of what this pageant reporting is, is that ability to uh will dynamically keep printing stuff on on multiple pages.

So tables will always print across pages but stuff like a visual, you can kind of control what, what does repeat on each page and what doesn't.

So like i'll add another section here. Move it just above and in this one, maybe i wanna go add just some kind of summary visuals. Like i wanna just look at in our sales by segment and let's go add another. We'll just look at like a waterfall chart across our regions. Let's get that legend out of the way. Save us some some room then then there's stuff like adding headers and footers.

So if i were to go add, here's the new text box, i can add it from here. Uh you also see an actual visual type for the text box down here.

Uh so just super easy way to go add some static text, but that we also introduced some new variables like if i want to put uh the current date of when this report got printed.

Uh this other one is here for page numbers like i'd likely put that in the footer there. But you know, just start with something simple like sales report, quarterly, sales report can't spell right now, but you get the point, uh rich text formatting colors, hyperlinks, images, text sizes, right? All that stuff.

So you can see just start to see how this is coming together. Uh similarly like i might put a footer on it. Uh i have a, a kind of more polished example here that i pre did looks kind of similar, right?

So this is the part that's gonna print across pages because i have multiple regions with multiple products. I put the page number down here as well. The date that the report was generated on, i'll show you an example output of what that looks like.

So that's page two, page three, page four. So these can go up to 1000 pages i think is the current limit on 1000 pages.

Uh and then remember that, like you get the point in time history with it. So, so let's go there. So i've created a cool report. Now, i wanna go publish it and share it out with some people.

So here i'm gonna go to publish a couple of things to highlight here. Even before we publish this part is new. What which sheets do you want to publish? It seems like a small thing. But is uh it makes a big difference for, for those of you who are authors in quas site.

So i could say i actually only wanna go publish. Yeah, this new one which i didn't rename, but it's just called sheet nine right now.

Uh another new thing, here's the autocue topic creation. So i could say let's enable a topic for this analysis where i could, i could tie it to an existing one. So that whenever someone goes to the dashboard it'll default to the topic that i want. But, uh, or i could just say, let's, can you go create a new topic for me on the fly?

So, it'll go through all the data sets and add them to a new topic. Uh, so this is, this is a pretty big deal here, ah, in any case.

So, let's just call this, uh, re invent rules also misspelled, but you can get the point i can. Um, so when you publish a report, the first thing it's gonna ask you is, you know, typically you wanna put it on a schedule at that point.

So you could either just generate like a one off pdf of it, but typically you're gonna add it to a schedule. Here's where you're gonna control your scheduling. You could add as many schedules as you want. You could say, i wanna send it on the first day of the month also on friday every week and at nine o'clock and fri and five o'clock on every friday.

So you can add as many schedules as you want. Give it a name. You can choose whether you want to include cs v outputs of that. So, which visuals do you want to include a cs v output on, uh, when to send it, who to send it to? Right? All the stuff that you would expect here.

Um, and lastly, do you wanna actually attach the file or do you want to just give them a link to it? So, from a data privacy standpoint, some of our customers don't wanna actually attach it, they want them to authenticate to go see it.

Uh so that's why we offer the download link as well. So just to see what this uh what that rather than waiting for the schedule to run here, let's just go back and i'll show you the original one.

Uh, yeah, this one. All right. So here's the one that i was showing you earlier, right? Here's the point in time, part of it. So i can see here's, you know, the last, the, the time that i ran it on november 29th at 152 in the afternoon, here's what the data looked like versus, you know, here's my mock november report versus this is, you know, my mock october report, right?

I also as a and i'm, we're now kind of back with our reader hat on

We're not really authors anymore, but this is more the end user side of it. So if I go to the recent snapshots, I can see from that run that happened, you know, on X date, I wanna go download that PDF or that CSV file. So these, we're keeping these up to a year in history. Cool. All right. I think that's reporting.

So we're gonna wrap up. I got two more, uh, quicker ones. We're gonna go through some of the data side of it. Uh major one, Spice. So Spice the limit up to before this week was uh 500 million rows or 500 gigabytes per Spice data set. So we just doubled that. So it's a billion rows or a terabyte of data per Spice data set. A major increase there. And you also enjoy 30% faster performance on all Spice data sets. So uh yeah major milestone there on the data set management side.

So there's this concept of parent and child relationships uh not required, but it's it's something that you can do in Quicksight where maybe you have certain owners, like maybe a central team owns one part of the data set, like all the core metrics, but they can allow other people to build data sets on top of that. Like maybe they just wanna upload an Excel file and join it to it or they wanna add their own tables to it as well. Um so that concept we kind of call parent child. So the row level security RLS now will will pass down to the child data sets.

Uh we launched a few months ago. The data set details page is one consolidated page to look at uh not only like the uh the details of the data set, but but also uh like where it's being used. Uh what users have access to it, what analysis are they being used in? What dashboards are being used in what cue topics are they being used in? So that's all in one place now uh connectivity, we just launched a DataBricks connector this past uh past month. So a lot of our customers are really excited about that.

Uh data set parameters, think of these. So you can use parameters in Quicksight, right? You can now use these in your custom sequel. You could use them in filters in your data set in a calculated field in your data set. So it's taking inputs from an end user, that's what a parameter really is and passing them into the data set layer. Uh so kind of affecting things a little bit like one layer back before your analysis itself.

Um bunch of new calculated fields came out. So a whole suite around work days, uh a an extended suite on things like string manipulation contains starts with ends with uh you, you could do a lot of this stuff with like the locate function but just trying to make things a adding more of these abstracted functions and make things easier. Switch is kind of analogous to the case statement like switch the values of one dimension to just it's like re aliasing, renaming something is probably my best way of describing that.

Um and this last one, so you can use parameters and calculated fields, but if they were at multiple values in them, meaning there wasn't a single select, but you're letting people choose multiple kind of like in an array in a way. Uh you couldn't use those in calculated fields before. So we are allowing you to use those in calculator fields. And, and in order to do that, we added a couple new functions in and not in. So I could say is the value in this parameter or not. And like that parameter could have many selections in it. So you can kind of sort of like check if something is in some array in a way and that array is defined by the user just by the control, you give them.

All right. So that's on the data side. Uh I don't have any demos here on that side. Sorry.

Um so now moving on to developers, so you know, when we think developers, usually we're thinking embedding, but we're also thinking like CICD and uh version control content migration, that kind of stuff.

Um so this expanded suite of APIs, this is something if you've been a Quicksight customer for some time. Uh and, and are closer with our team. You may have heard us refer to this as assets as code over the last year. That's kind of what we were calling this feature before. So just, just trying to say like this is the same thing. We're not calling it assets as code, we're just calling it that, hey, we have new APIs now. But the whole point of these APIs is to allow you to make changes to, to create brand new and to manage all of your BI assets. So, and, and particularly the dashboards.

So like we have this concept of a template in Quicksight before, like I could migrate a dashboard from dev to test a prod by creating a template. But that template, we wouldn't let you download it. Like if I the brand like describe data set, we'd actually give you the JSON. Like here is the JSON definition of the data set. But on dashboards, we wouldn't give that to you, just gave you an ID for it.

So you know, simplifying what this is here is you can get the definition of a dashboard as JSON, which means I could build a brand new dashboard just using code. Never even going into the UI I could make a change to it. Like say I'm doing a multi-tenant application and customer A gets the standard dashboard. But customer B you know, they may pay for a premium package or I wanna give them a couple extra visuals like I could programmatically um control all of that. I could have a library of kind of visuals and have the JSON code ready. And then when someone purchases that package like deploy a new dashboard just for that customer, just by editing these definitions themselves.

Uh tons of use cases for it. I mean, just even just being able to have it and download it, you could check it into your own git, do version control diffs on it, you know, whatever you want to do with them, right? They're gonna help with migrating from other BI tools, right? We have a very predictable structure. We're giving you the structure of what our dashboards look like. A lot of other tools give you that as well. So it gives you a path to start to make automated tools to migrate from other uh other platforms.

Uh so that's just that first bullet. Uh there's a new API to migrate a Q topic between accounts, this account creation and deletion.

Um yeah, I think this is pretty important, particularly if you have a lot of, if your organization spins up a lot of AWS accounts, like some of our customers have a centralized uh Quicksight account and a centralized uh not just Quicksight account, but like all their data warehouses and, and their BIs all in one account, some of them create a different account per project and they want to be able to spin these up and, and spin these down really quickly and automa auto automatically, excuse me.

Uh so APIs to completely deploy an account, deploy dashboards into it, like full automatic deployment of getting stuff out to your, your users or your customers. And on the embedding side, uh fine grain visual embedding instead of the embedding, an entire dashboard, you can embed just a visual

Embedding Q for an, an, an anonymous use case where you don't have to actually manage the users. In Quicksight, you can actually submit questions to Q like if you wanted to have like a little voice input or a chat bot in your application. And at the, at some point, you want to send that question off to Q, uh we basically have a SDK for you to do that. So you don't have to actually show the UI in there.

Uh you can pass the questions in programmatically. So the one demo I have for you on this one is uh a little bit of that enhanced APIs.

So I also wanna call some attention to this portal which uh you may or may not have ever seen before. But this is something that our team really puts a lot of investment into. We actually just recently gave it a facelift uh which we call Demo Central. So just great resource for like, so this is public facing. Anyone can access this tons of like nice dashboards to give you some inspiration.

Uh some, some cool QE topics to play around with. Uh we have like really detailed demos of specific features, like narratives or some calculations and whatnot. There's a bunch of tips and tricks. So just a, a great resource in general.

Um and this is, oh, never mind. Let's go to ok, let's just pick one of these sales ones. So actually one of the best things about this portal is not just that you get to see some dashboards, but you can actually go reverse engineer anything in here. So notice there was a little analysis icon there. So when you click on any dashboard and you click on this little analysis, you have the analysis available to you, you can see exactly how it was built, pull it apart, see all the calculations and all that kind of stuff.

Uh let's see, of course, between this morning and this demo, there was one called assets is code that I'm not seeing here anymore. Maybe we changed it. All right. Well, I've got it on a slide later. So I may not be able to show you this right here. Ok. We'll, we'll come back to that if um once we're doing the wrap up and uh I'll take another look and see if we can come back to that one.

All right. So we got 10 minutes here, last slide on terms of features and then we'll um we'll wrap everything up and have some time for questions as well.

So uh the last day of investment is around administration so Quicksight. One of the great benefits of it, it is super scalable, serverless. Uh really never have to worry about performance.

Um but as you grow the amount of users and content in your account, it's pretty critical for those admins to be able to govern all that and at least just have visibility into what's going on in the account.

Uh so that first bullet there on visibility is something that came out just in the last couple of weeks. So it's a brand new console where admins can see every single asset in the account, but also make like batch changes to them.

So common use case uh a new employee joins the company and you want to mirror their permissions to an existing employee on the team. So I might need to go search everything that user A has access to and then also share that with user B or user A leaves the organization, I need to go transfer the ownership of all their assets to somebody else, right?

So um those are a couple of use cases for it, but lo lots of other ones as well. Uh we did a lot with CloudWatch this year. So uh all of the dashboard load, performance, visual load, performance, general health of your um of your account. All of those metrics are captured through CloudWatch.

Uh and then just a little more recently, like in the last month, uh Spice consumption metrics are in there. So if you wanna be alerted when you're at 90% of your Spice consumption, uh that's, that's available through CloudWatch too.

Something I don't have on this slide is actually in CloudWatch, there's now a P an out of the box dashboard on all your Quicksight metrics too.

Uh data governance. These were some asset particularly like in financial services, life sciences. Um you know, there are plenty of other industries where uh personally identifiable information and privacy is is. Um yeah, it's, it's a big focus.

So you we always encrypted data that we had in Spice, but they were uh encrypted using keys by managed uh by AWS. So now you can bring your own encryption keys to manage your data in Spice. You can uh manage the data source credentials like, you know, connecting to Redshift rather than giving all of your users the Redshift user name and password. You can manage all those through Secrets Manager now and rotate, you know, you might have different password rotation rules so you can manage that all outside of Quicksight.

Now launching a couple of new regions in the next couple of weeks. Uh some things around multi tenancy uh adding a new UI for namespace management, partition folders. And if you're doing embedding using uh anonymous embedding, you could do row level securities through something we call tags, but we're adding more or logic to those.

Um so anyway, i i was planning to show you the asset management console but uh i took too much time. So seven minutes. So i wanna make sure we have enough time to recap and get and give you all an opportunity to ask questions as well.

So i'm gonna hand it back over to Neil.