Introduce myself real quick. My name is Garrett Sauls. I'm a content manager for InterWorks. We're a data IT consulting company, globally based UK, Australia, US, of course. That's pretty much me. I joke that I'm a corporate English teacher and that I just get smart people to talk about things and I annoy them. I'm a professional little brother, if you will. So that's me. I'll kick it over to Annabelle to introduce herself. Yeah, my name is Annabelle. I'm joining today from Switzerland. And like I always say, I'm very delighted to be here and doing this co host webinar with Garrett. I welcome you in my family, Garrett. I don't have like younger brother. Thank you, I'll take that. So I have twenty two years experience in data. I have won many ads from data analyst, Tableau developer, Tableau enablement lead, and I'm currently serving a self-service enablement and success lead for reinsurance company. And one of the things that's become crystal clear for me is that enablement is crucial to the success of the organization. So that's why I love doing this enablement webinar series with Garrett because we are always learning from our guests. And today we have a special guest. It's my great honor to welcome Katrina Menne, Product Evangelist for Sigma, sorry. A warm welcome, Katrina, thank you for joining. I will start with the first question that we have. Your career has taken you in a lot of places, ranging from in house consulting and now vendor roles. Can you tell us a little bit about your journey and how this experience have shaped you? Yeah. So, I originally went to school for social studies education and then realized that I did not want to teach kids. So, I was like, I don't know what to do with myself, but I needed, of course, needed a job. And eventually I ended up at a job where I was supposed to help our sales team basically move data into PowerPoints. And it was literally wait for someone to email you a spreadsheet, copy and paste the data into Excel, take a screenshot of the pivot table, pop that into the PowerPoint, and then email it off to the salespeople. And there was five of us on this team supporting our entire sales organization. I remember thinking, there has to be a better way to do this. Boring and tedious, I was just like, oh my goodness, what are we doing? And so I just went out and I Googled, and I discovered macros in Excel, which if you're unfamiliar with that, it's basically when I started, it was basically like a shortcut. You could record what you were doing and then it gave you the code behind what it was doing. And so I decided to poke around with that and kind of figure it out. And I ended up automating our entire team's week long job down to three hours. And I I was like, oh, this is the thing that I wanna do. This is where the future is going is to be able to scale with those sorts of things. And so I wanted to continue down that path. And I thought, well, I've automated the first part of that. Now let me try and automate the second part of it or the back part of that, which was receiving the data. And we always had to use some manipulations and some fancy VLOOKUPs to get it. And I was like, well, if I could just access the data myself, then I could, you know, use that and make it even faster. And so I taught myself SQL so that I could talk to the data team. And then basically, they were like, no. We don't do that. We don't give access to to little minions like you. And I was like, okay. I'm gonna leave then. And so I went out and I found a job that was exploring and using data. And so that landed me a job using Snowflake and Tableau and then eventually Alteryx. And I was the only data person at this company. It was kind of a newer company that was trying to use data in an industry that no one was really using data to make decisions. And so it was super exciting because like they were kind of taking a chance on me and I was taking a chance on them. And I very quickly realized that I didn't know what I was doing, or there were a lot of things that I didn't know what to do. And one of the biggest things that really made me realize that was that there was a lot of questions where I have of like, I could do it this way or I could do it that way, but I don't know what the best way to do it is. And I don't know how to make that decision. I don't know all of the ramifications of a lot of different things. And so I started trying to Google and find resources and do those sorts of things and eventually landed in the Tableau community. I went to our local Tableau user group and that was really helpful because it was other people to talk to and other people to learn from. So I became really involved in the Tableau community, eventually started working at a consulting firm. Then that's where I got introduced to Sigma. And that was also a light bulb moment for me of like, oh, this is where the future is going. There are so many things where it's like, but of course, like why else would you do it any other way than doing that? So I spent a long time working in Sigma doing hands on keyboard, creating content, and then worked at a different consulting firm and then eventually joined Sigma to be the product evangelist where I get to spend my job, spend my day just talking about how cool Sigma is and all the cool things you can do with it. I love that. That's a great background. I'm curious what it what it was about, you know, Sigma that stood out to you, whether it's the community or the tool initially, you know, what What caught your eye? What were those first things where you're like, oh, this is different? Yeah. The first thing that really caught my eye about Sigma was pivot tables. It's not that necessarily all that exciting, but I was working on a project and my stakeholder just wanted pivot tables. I think in the data community, we kind of joke about this like, Oh, if you're asked to export it to Excel, you're doing something wrong. But I think that pivot tables are really great at a lot of things and that they're very easy to understand and they're very easy to manipulate. And it's also what my stakeholder wanted, you know? And so it was something where I had to go out and discover how to make pivot tables in Tableau. And that was actually one of the first blogs that I ever wrote. I think it was like twenty five plus steps in order to be able to do it because you had to handle all these multi select parameters and if scenarios and there's these big long things. It was super fun for me to be able to figure that out and kind of work with that side of my brain of solving complex problems. But they're built in to Sigma. I was like, yeah, of course. Why not have them built in? And then the other really big thing that was a big driver for me learning Sigma was the fact that you can, since Sigma sits on top of the warehouse, you can look at and use and analyze billions of records of rows. And that was also a problem that I kept running into with Tableau where it was, Hey, I have to make this extract or I have to like force my end user to look at it at different granularity. And so to just have these very simple things built in was kind of the spark that initially drew me to Sigma. You mentioned, Katrina, and I'm sure that you will kill me with this question, that you're currently a Project Evangelist. What's your day to day look like? I'm sure that every day is different. Yes. Yeah. Definitely chuckled a little bit when I saw that question because every day is very different, which is super exciting. Like it's really fun to be able to work on different projects and do different things because a lot of it is about setting up programs or initiatives to kind of help things run. There's only so much that I can do in one day, but being able to help scale things is really where I'm trying to put a lot of my effort into. But I would say that for a while it was creating more content specifically around Sigma. We did quarterly product launches for a while, so it was helping with those. We pivoted into doing shorter or weekly product launches basically. That was something that it's Sigma's releasing so much stuff all the time that even internally, it's really hard to keep up. So we wanted to make sure that folks understood all the cool things that were coming out. And so we pivoted to weekly ones. We also had our first ever in person conference this year. So there was a lot of initiative, a lot of work put into the content, organizing and getting that all set up. And then lately my day to day has been focused on Sigma Public, which is our free version of Sigma where you can create assets and kind of share it with the world. And so there's a lot of things around what that should look like, what features there should be, and just making sure that it is a good spot that people want to think out. I love that. You had mentioned Sigma Public and maybe now's now's a good time to do it. We have still have plenty more questions to ask. But I mean, what what better time than now to to show that I know you have something prepared, but I and this is great, too, because I've only just like myself, like cursory looked at Sigma Public. So I'm I'm kind of jazzed to have, like, an expert walk me through, like, okay. Yeah. Well, here's what you can do, that sort of thing. So is that something you're ready to share? Yeah. I definitely can do that. I guess as a as a little bit of an intro, in case anyone isn't familiar, as I said, Sigma Public is a free version of Sigma where anyone can create applications and check out what other people are doing. And this was the in person conference and Sigma Public were the two things that I have wanted for like the longest time in the Sigma space. Because when I first started using Sigma, there wasn't a spot for me to meet other Sigma users, other power users, and to share that insight or to share those solutions and really just see what other people were doing. So it's been super exciting for me to be able to be a part of bringing both of those things to life because those are, again, the things that I wanted. So I'm going to share my screen. So this is Sigma Public. As you can see, it's Enterprise Apps Made Easy. If we scroll down a little bit, I will say Sigma Public has been out for less than a month now, maybe a month. And so there's tons and tons of things that we're looking to do that we've got on our roadmap. But again, we're really excited to just have a spot where we can start to do these things. But what we're focused on is again, creating applications or creating kind of replicating that Sigma workbook experience. So here we've got some featured apps. We've got some more apps that people are creating, as well as some featured builders, just some cool people who are building cool things. Another featured app, this app in particular is one of my favorites. Earlier or at that in person conference, we did a challenge that's kind of, you know, who can Sigma the best, our Sigma Builder Challenge. So this is from Linda, our Golden Goat winner. So the Builder's Challenge first place. And what's super cool about this is after the event we saw, you know, we just kept getting it like, hey, how can I how did Linda do this? How did this person do that? I wanna see what they did. And now you can, now you can see this. So this is something where you can experience this and I can, you know, see how Linda created this app. So this is something where, you know, she's trying to mimic kind of that login type experience and I can request access. And of course that would go off and do something else, but just as a way to get insight or a way to start using it, we can kind of think that we have access. So please don't do this as like actual security. We have better security in Sigma, but this is just an example. And that's again part of like the fun of Sigma Public as Vina will see the example. So again, this is this is an app that I get to go in and I can play around with. I can say, you know, I wanna do the last couple of months or something like that. I can go to like a workforce planning. I can submit a new role request for something. So this is, again, if you're new to Sigma, this is one of the things that we do is we create applications like this to have different you know, let's say we wanna have a financial analyst and have this salary of maybe seventy five thousand to one hundred thousand, something like that. And we can submit the rest. Oh, no. Oh, no. I will have to tell her about that one. That one isn't a change that we need to make. But in theory, you could Yeah. Make the submit that request. And what's also super cool about Sigma Public is that, yes, this is, like, the front end version of it. But if I want to, I can duplicate this app into my own account and I can learn from Linda. I can learn how she created all of these things. So for example, here's this no access model that she created. We can see if there's any other actions that are applied in there. So this one, for example, when we clicked review the app, it navigated to a different page and then it also closed this modal so we don't have them modelled up anymore. So this is the meat of Sigma Public, I guess, is this ability to look at other things that people are creating and understand and learn from from those folks. Of course, I can also make my own app. So if I, click on this to make a new one, give it a second to load. Oops, I made that. Sorry. I was clicking the wrong button. I got overexcited. That was making the app public. So this would be something that is a, hey, I made this and then I want to have other people be able to look at it. So let me just go to my profile and you can see the apps that I have made on the back end. So that's the one that we just copied. We saw that it's private. These are the public apps that I've created. And so you can see this is another area for Sigma Public or thing that I'm really excited for Sigma Public. As I mentioned in the beginning, one of the things that is so great about the data community is how generous and how open it is. I have found that people generally just want to help people solve problems. And so this was something that people kept asking me how to do it. I was like, oh, I know how to build this solution or I know how to create a group action in Sigma. So again, from Tableau, if you click on, multiple bars and then you wanna create a group from there, you can get that one in a single group. So I just wanted to create a, basically a blog, a how to blog of how to do this. So this is an example of what it would be and then the steps for how you would do that. Nice. But then going back to, to this, just to create a new app, I'll click the right button this time. And again, now we're brought into this workbook creation experience. And so I can make a new title of my very cool app. Put a description in here for whatever we want it to be, you know, tag it for different things. We'll save save that. And then I'm brought into this workbook building experience. So down here on the bottom oops. Okay. Yeah. We've got our AI builder assistant. So I can use this to help me build different things or understand how Sigma works. And I can use this, or I can just connect to data that we have provided. So here we have some sample data. This is a lot of different examples, as you can see, depending on what you want to create with. But then we also have input tables, which are our ability to write back to the warehouse, which is how we create those apps, how we power that interaction. But we can also upload a CSV. So if there's something that you want to make a workbook about or wanna make an app about, but it's not on our sample data, you can bring that in for yourself. One of those, for example Oh, yep. We're okay with going back. One of those, for example, would be like, I created one about my favorite one of my favorite bands. I did one about the TV show alone because that was something where I was having a a discussion with a coworker about what were the best items to bring on on the TV show alone, and I was like, I'm gonna prove this with some data. I love that. We would just say maybe maybe I had some some indications of what you should bring or not bring. And then last summer, I went to a concert from Hans Zimmer, and I was so inspired because, of course, you go to a concert and you wanna make an app about that. So I made this one, which is like a quiz that you can experience and just, like, you know, see if you can answer questions about here, we'll do that one as a fake one so you can see how well you know the music of Hans Zimmer. I love that. I this is kind of a basic question, but I'd just love to hear your your answer to it. And I think we've seen a lot of of the answer to this question, like, put on display in this in this demo of of Sigma Public. But in in your mind, you know, what is the difference between, you know, we're talking, like, the old school Tableau dashboard and the Sigma app, and what's the advantage of that really? Yeah. It's taking action. In short, good data analysis should always be driving towards some sort of action for the business, whether it's starting to do something, stopping to do something, or facilitating some sort of workflow. We think about data power decisions, data driven decisions, that's been such a buzzword for so long, but a lot of other systems require you to say, oh, m going to go over here for my data analysis and then I going to go to this system and I m going to record that action or record that process or something. Or as we said before, I just going to manage it on my desktop in Excel or in a to do list in something else. And Sigma is a way that you can analyze data, build and capture those workflows, as well as layer on agents and AI, which we can talk about in a second. But that's really the difference is being able to capture the process and the workflow that goes around all of the day to day things that we do in our normal lives. I would also say one of the things that separates us from a lot of other Vibe coding platforms or application building platforms is the fact that we are a secure and scalable way to bring those applications to your end users. So I think about my husband works in IT, and he's had a lot of fun over the last couple of months with people bringing him vibe coded apps. And it's just like, it's kind of funny to watch him on any like, oh, I'm sorry you have to deal with this sort of way. But it's just like this, hey, man, that's our company data. Like, how are we going to secure or make sure that no one on the internet can access this app? How are we going to make sure this passes IT or it's got PII and we gotta make sure that we're doing all those sorts of things. And yeah, you can create an app really quickly, but how do you bring that your organization? How do you secure it and scale it? So, Sigma is the way that you can do that. No, I really like the interface, to be honest. I think that it's quite easy to learn, for what I have seen. Still, it can be very, very powerful because with this application to write back or to take action, that's why you were always referring to an app and not to a dashboard that I really like. I have a very important question, Cathryn, now. Yes. I was worried. It's like, stick my public. Which kind of email do you need? Tell me that you can register today with your Gmail account. Yes, yes, you can. That is, again, one of the differentiators between Sigma Public and Sigma itself, guess, or Enterprise Sigma. You can create account with a personal email or a professional email. It doesn't matter. I use my personal one, so go ahead and do that. But you can sign up with any email and it's literally just sign in or create account, that button up at the top. I think it's very important, especially when you want to learn new tool, a lot of times you cannot access. Imagine you're unemployed, you cannot access because you don't have a professional limit. So I think it's a very, very good Sigma, what you're doing. Yes, yeah. Really excited to be able to bring this to people that are trying to learn Sigma. I had someone messaged me the other day about they're trying to find a job, I was like, go check out Sigma. Now I only know of job openings that include Sigma because that's my bread and butter. And so I'm like, hey, I'd happily recommend you if you know Sigma or if you can show that you have some skill in Sigma or can understand how to build in it. And so this is a great way to demonstrate or one, learn that that functionality or learn that capability, but then demonstrate that for potential employers or those sorts of things. We've got a few questions. I want to kind of work backwards a little bit. Think they all kind of fit in the sphere of this. So we have an anonymous serious anonymous attendee asking if could you go through the app, like answer the questions to see what happens at the end? I think they're referring to the Hans Zimmer. Oh, yes. We could go through that and just see what the what the end result is. I think that's what they're asking. We can definitely take the quiz. I know. I I was looking at the question. I'm like, oh, man, this is I don't know. It's been a minute since I've done this. I think it's it's I know it's one of these two. I think it's this one. We'll see. We'll see how it goes. Here's piece about British naval warfare, pied to the Caribbean. It's one of his classics. Classic. Oh. Nineteen ninety five submarine, the thriller. I believe this is Crimson Tide. But a prince from ancient Egypt, Prince of Egypt. That one was I remember I watched some people take this, and they're like, that's too obvious. It can't be that one. I was like, okay. This one's the Lion King. Japan is The Last Samurai. World War two film, and Christopher Nolan is Dunkirk. Oh, this one. This is kind of a tricky one because you have to you have to be familiar with that novel, but it's Black Hawk Down. Okay. Again, been minute, but I'm pretty sure it was this one. Oh, this one is always so hard for me to remember. I think I know this one. I haven't I don't think I've seen any of these movies aside from the LEGO movie, and I know that the LEGO movie is not a sequel. So do you have do you have an answer for this one? I think it's despicable me too. I mean, I'm I watch all these movies all the time. That feels right. Yeah. We'll we'll go with that one. And then Sherlock Holmes is the the Sherlock Holmes with Robert Downey Jr. And Jude Law. So now on the back end, so we captured that information. We took all of those answers and now we're writing it to this input table. And oh no, I got Oh, it's because I didn't change the username when we did the first demo. That's why we're doing really good on this quiz of thirteen out of ten. But we That's great. I love seeing these results. Yeah. So the Hans Zimmer so it was the X Men days of future past. Oh, this one, I think that was British name. Oh, I guess that's yeah. That's those are those are really close. That's a tricky one. Yes. But this is again, because we did the we didn't do the wrong one, which now that I'm doing this, I should probably clear that out. I should I should go back in and fix this to make it easier. But you can and then what is also cool about Sigma Public is the fact that, like, we're interacting with this app and so you can see it. And then all of that information is captured and you can can save it in there and save that percentage of how correct you got. Again, I'm gonna go back in and fix that one. But yeah, is this is the If you do do this again, you can, I made it randomized so you can do different questions than what we saw before? And then in a very traditional BI sense, you can also check out more about his movies. This was, I made this a year or a year plus ago. So it's a, it's not up to date. Sure, But you can see information about his movies and then made it so that it'll take you to the Wikipedia page about this one, about whatever you want to click on. That's awesome. Still have the header too. That's cool. Yeah. The the embedded embedded page. Yeah. Yes. Okay. I think this is the same attendee. I think this is relevant to the to what we just went through. And they asked, are they correct in saying that one of the apps that you showed earlier was an app that helped you build an app, I. E, guiding you through Sigma features? If so, can you remind them how to access that? I think that was just someone's public app, right, that they had posted and it helped you or helped Yeah. So this was one of the apps that I showed before about how to do a specific functionality within Sigma. So this is a blog. If we go back and create a new app, so any app within Sigma Public, whether it's a brand new one that you make or one that you've duplicated down here in the bottom or wherever you see this little I don't know. Can you see that or is the little pencil? Okay. There's a pencil, and I think it's from Zoom, and I just wanna make sure that you guys can see it. But our little AI icon so this is our AI assistant, which will help you build things in Sigma. So I can click on this and say, you know, hey, wanna build, create an employee engagement survey. And now it's going to go run and determine like, is an employee engagement survey? Like, what does that mean? And what are the components that we would need for it? And so it's reading some skills that we have created for it on the backend and it's going to go through and create this for you. So it's going to ask you, hey, where do you want to write this or capture that information since again, everything's being written back to your warehouse. So you gotta put it somewhere and you gotta make sure that you've got access to it. And so we only have access to one database here in Signal Public, so it's gonna be there, but it will go through and create this. So this was the like, I think this might be the other thing that's in that this person is referring to. But there also are some other folks that have created more like how to type blogs or different things. Let me go back to Yep, that's fine. We also have a team Sigma account. So this is kind of things that are from the organization of Sigma to create and check out. We have this video about getting started with agents. This could be another thing to look for in Sigma Public about building specific features and specific assets. See. That's cool. I'm sorry, Garita. In term of enablement perspective, is perfect to have the little app to guide the user doing something because you can enable that in a blog, on your own internet page, or you have it here. No, I think it's quite cool. Yeah. And that's, again, made all this before Syncva Public. I had made content. I'd put it on my personal YouTube. I would write blogs for my employers and I had my own blog. But it was just hard to get it out there and also hard to scale because you kinda you either you had to have some way of getting access to a Sigma account, Annabelle, you mentioned before. You basically had to have a corporate email in order to access this. And so this is now a way that anyone can produce anything about Sigma and really help the community grow and expand. I'm really excited to be able to see what other people are doing. Like, I know that there's cool things out there that people are doing. And I right now, it's such a like, you have to know someone who knows someone who knows that they're doing something cool. And I just want to be able to share share all cool things with with everyone. Adam Morse was asking, I think we kind of looked at it a little bit, but he was saying, understand the point with Sigma taking action on data unlike Tableau Power BI. But he's asking, you know, what does the data prep layer look like? You know? Yeah. There's TravelPrep. There's Alteryx. There's Power Query for other tools. But how is data prep handled in Sigma? Yeah. So Sigma Public is exclusively the workbook experience right now. But Sigma Enterprise does have data models, which is our data modeling layer, as it sounds like, you can tell. So that would have, that's basically like Tableau Prep or Alteryx where it's a different type of asset that you would create in addition to a workbook that lets you kind of curate a data model, curate data connections. But if you need to within a workbook itself, you can also do that. So I can create some joins, unions, do custom SQL, all of those fun data things. So it really depends on how reusable you want your data manipulation to be, whether or not you're trying to apply security at this additional level. And then there's some couple of considerations about performance and those sorts of things, but those are kind of the main three that I would think about of workbook versus data model. But I can I can pull up a data model? I just need to stop sharing and sign into something else if that is of interest. Sure. Might as well. Cool. Let me stop sharing. We'll need to sign into this one. It's always fun having to log in on a live webinar, right? That's like peak anxiety. Always a live webinars are always a good time. Truly. Okay. So so this is is Sigma, the the enterprise version of Sigma, the homepage of Sigma. So in here I can create a workbook, as I said. We also have pixel perfect reporting. So if you need to like have an order, hey, I'm going to use an Sigma application to submit an order, but I want to have like a PDF version of that or a lot of, like banking, our banking customers need really specific reporting in very specific ways. And so that's another option. But as we said before, we also have a data model. So I can come in here and I do not have this enabled on this org, but you would have the ability to have our AI assistants help you with this as well. But I can just go to my data sources. And, again, I've got that same connection basically that's in here. Let's do Plugs Electronic. That's kind of our big or like sample retail company. So this would be like a point of sales table. So I can add this one, and then we can add another retail one. So I did point of sale, so probably sales. This is just a little bit of more information. And then in here I can create relationships that are then make it easier to be used in a workbook that is kind of based off of this data model. Again, as I said, I could just create a join in here. So if we wanna do just a very simple join between these two things, I can use the elements that are already in my workbook, which is since we're here, one of the early things that I really loved about Sigma was the ability to, like in, with Tableau or Alteryx, you have to use your, like, it's like very step kind of pieced out. And with Sigma, especially when you're doing this in Workbook, you can manipulate things and then use that in your analysis just, like, a little a little bit easier since it's all within Workbook. But this is the join. Very simple. You can preview this output, just get a little visual indicator. So for example, I don't need my order number in here twice. I can just remove or uncheck that one and then click done. And then this is my join. I also can create metrics in here. So this is like a reusable defined, like if we wanted to have like a profit calculation, for example, and wanted to make sure that everyone was doing the same thing, I can create that calculation in here. And what's really cool about metrics versus in row so, like, this would be, like, that would be an in row calculation. A metric is going to aggregate at whatever level of aggregation you put it at. So it's very reusable across the board. You don't need to think about, oh, well, let me include or exclude certain things to make sure that it's actually mapping correctly. Sigma handles all of that for you. Yeah, that's really cool. Hopefully that answers the question on data modeling. For me, it's like, yeah, I think if you've used any sort of data prep thing and another thing, this is going to be very intuitive and very easy. Seems pretty streamlined as well. If it makes sense to me, a small marketing, it's going to make sense to data people. It's really thanks for sharing that. I think that's that's really cool and interesting to see. Know, you mentioned it. I know we got a few more questions, but I I would love for you to talk about the kind of the AI component because we were starting to touch on the the AI assistant and then you had showed the and everything like that. So can you give us like a little intel on, you know, when we're talking about a when we're talking about agentic stuff, how is that handled in Sigma and specifically like Sigma Public? You know, what what level of functionality are people able to take advantage of with within Sigma Public? Yeah. Yeah. Our our goal or our objective with Sigma Public is to let people do as much as we can. I will put the caveat that some things just don't make sense in a public setting. So we have to to always have that light in there. But we do offer our kinda our three main components of AI in excuse me, in Sigma Public. So that's going to be the assistant that we see here. So this is, you can think about this as helping me Sigma better. So it can be creating things. So for for example, we asked it we gave it a prompt and it came back and and created this. Now I can go in and I can say, you know, hey. I want to to change something about it, or I can type out a prompt for it. If I already have some data in here, I can use these other kind of agents or other modes to help me understand my analysis or kind of think about what I want to do. Personally, I really like to use plan to say like, Hey, I've made this, how can I make it better? What are some ideas that kind of helps me like ideate on things? Another like super awesome functionality of the builder in Sigma Public specifically is generating fake data. I build a lot of demos, so just being able to pop in and say, Hey, give me some fake survey results. And then also helps you make sure that you've got your build in a good way, a solid way. You're putting it kind of through a live test, that makes it easier. The other, or another one that we have is something called AI columns, which is basically using an LLM on your data. So it could be something where it's like, hey, I want to classify this answer as like a, do a sentiment analysis. It could be helping you fill in information like if you're trying to capture information from end users and they spell things incorrectly, or I don't know if you've ever done a survey and it's like, where do you live? And it's like, Minneapolis, Minnesota, United States. And you're like, well, these are like, technically yes, but let's make sure that they're all kind of in the same thing. So just getting some some answers like that. And then the third one is agents as we saw in that other video. Sorry. A little Zoom share thing. I don't know how to make that go away. But what we saw in the other one of is it this one? Yes. So Sigma agents are a kind of they're similar to the builder, but you really should think about them as helping my end users, Sigma better or do something in Sigma or facilitate some sort of action or workflow within Sigma. This agent is set up to be like a marketing assistant. So we can see, you know, hey, I'm looking to analyze customer feedback of these returns, and it's asking us for some information about the here, let me just duplicate this one, and then I'll show you the back end. It'll Yeah. It'll make more more sense there. So this is, again, the back end. This is the agent. And so this is gonna be the agent configuration panel. So you can see that we have a agent to help you build an agent. So you can say like, hey. I want to customize something else or I want to add more data sources, but then you can really give this agent a job and help it do anything from helping someone understand or analyze their data. So it could be like, Hey, I'm just trying to understand what people are saying and ask questions about it, all the way up to performing actions and facilitating workflows on its own. A really good example of that is the Insure LLM one from Team Sigma. This is a very agent forward demo where this agent is set up to check for policy renewals in the next ninety days and kind of help us understand like what should we do about the fact that there's something. So again, I'm doing some analysis, but then I'm doing some sort of action or having some sort of response to it. And then over here on the right, you can see that there is a scenario details, so for scenario modeling. So that's one of the use cases that Sigma is really, really good at is asking these like what if questions because we're able to capture all of the attributes in that what if question or all the variables in that formula through the input table, we can recall them, we can run analysis on it, and do all those sorts of things. So this is something where we can ask it for, and just to skip to kind of the end of the demo, what would happen if we install sprinklers on a higher risk policy? So a lot of these policies are high risk because they're old buildings and they don't have sprinklers installed in them. So it's saying, you know, I'm giving it kind of a vague instruction of saying like, I didn't give it a specific one. Of course, I could give it a specific policy number, but it found a higher risk policy. It knows what that means. And then it's performing some action on it. And so it's doing the analysis. Then over there on the right side, if you saw that update, it is now performing those actions. And so this is the same thing that a human could come in here and click and type and do all those sorts of things, or I can, have the agent start it for me and then I can customize it or do tweaks on it, or I can just let the agent do the agent thing. So agents are really powerful, really exciting. Because again, I think they're one of the things that is unique about Sigma is the ability to have anyone create an agent. And so you can have people that are on the traditional view or traditional folks that would be building agents. So like think about like data teams or data scientists or those sorts of data engineers, that persona. But then you can also have non data people making agents and you can have them getting the information that is out of their head and creating something to be their assistant. Then what's really awesome is when those two things come together. So I think Sigma's really great at being able to show what is possible. And then if the data team makes something and the business person makes something and you put those two things together, you're going to get a really powerful asset. I think I really like where you're going with between the agent and the AI assist. And what I also like is that you have the plan AI assist that helps you like to improve also, not only like build it for me but tell me how to build it so I can improve all the It's very important for me as a community, the enablement part of it. If Garrett wrote me, I would love to switch a little bit the conversation on the community part. What are your plans for the future in Sigma on this topic? Yeah. Yeah. So obviously Sigma Public is a huge component of that. Think it is, personally, think it's a huge unlock to driving the community. Again, as I said before, it was kind of a, you had to know someone or you to have access to an account through an employer or like a consulting firm was a very typical way to facilitate that. But now anyone can build anything and there isn't as much of a concern around, hey, I've got this really cool solution, but it's on our internal data, so I can't share it with the public. With the ability to create those things and share it, it's going to really inspire other people to do different things. One of the things that we didn't get to when I was doing my walkthrough, but we just released the ability to follow other users. So it will come to I think it's just loading that part, but you can follow users. So again, like the TeamSigma one, Sean creates really he creates a lot of really cool, like how to things. Linda, as we saw at the beginning, she was the winner of those Builder Challenge. That's all I followed so far. I just haven't gone through and clicked follow on a lot of these things. But this one, for example, the sales pipeline was released really, really recently and I just love it. I think it's very, it's beautiful and it's functional. And I think that this is such an inspiring design for people. I think in particular, like, the labels on here. So long story short, I'll put, like, I could I could talk about Ramly or Sigma Public all day, but the things that that we are working on for the Sigma Public roadmap are gonna be driving events, giveaways, competitions, like those kinds of things to help people be engaged with Sigma Public. So really strongly encourage anyone who's on this webinar to go check it out, go sign up and get on board with a lot of the things that we're going to be releasing. There's, as I said before, there's a lot of functionality you want to add around like favoriting and voting, like reacting to things of saying like, oh, I like this, I love this, like that kind of thing. There's a lot of other just functionality around being able to find different things that are on Sigma Public. So I'm a business user, I'm looking for sales pipeline. What if I don't actually call it sales pipeline? We want to make sure that's really easy for people to find the things that they're looking for. So that's a lot of the things for Sigma Public. The other things that are out there are Sigma user meetup. So if you scroll down here, this is the next Sigma user meetup that's coming. These are once a month. It's the second Wednesday of each month, I believe. Yeah. And it's virtual. They're very chill, similar to this setup where it's kind of someone incoming and talking about cool things that they're doing. I would really love to expand this and have in person ones. It's just something that we're trying to find the right people who want to engage in this. So if there's anyone on the call that wants to help facilitate an in person Sigma user beat up or help with the virtual one, you know, please feel free to reach out to either the organizers or myself. I'm happy to get people connected. And then we do also have a community page as well, just a very traditional So this is kind of a post questions, get answers. So this person is wanting to understand how to implement a specific function. And so this individual, Amelia, she's really great. She posted an answer. So there's a lot of ways that we want to think about like connecting these things and bringing it all together. But I would say in general or in short, the Sigma community is growing, but there's still an opportunity for anyone to participate and become a voice if you want to be. I think about some other communities, are, of course, in any community, there's always space for new people and those sorts of things. But I remember being intimidated by the saturation of some spots. So Sigma is open and it like, there will always be space, of course, I don't want to say that other communities are not opening or welcoming or anything like that. But Sigma is in a unique spot where if you do want to create a voice or persona, a brand, a career around it, highly recommend getting in on the ground floor. Yeah, I love that. I mean, if you're looking for someone to help you with community things, I know someone and she's on this call and she's been doing it for a long time for in a lot of different assets. But I think that's really exciting. That's an important message, I think, to send that, you know, this community is growing. It's it's building. It's open to anyone and everyone. I think building off of of that is gonna be incredible for you all, obviously, as as you build a tool. Because one thing I will say personally that I've really enjoyed about Sigma is that which is different from from other providers as well is the ability to actually listen to the community and actually maybe deliver on the things the community wants. What a concept. So that's pretty cool, I think. So I think that's another thing for people who are who are interested in is is certainly whatever feedback, whatever useful things you're you're putting out there, it it gets listened to. It gets it gets taken into consideration seriously. So I think that's that's really great. I will say that that was one of the things that originally drew me to Sigma was so I I started doing a lot of stuff and provided this big long doc of of feedback, and I got a request from our co founder or from Sigma's co founders like, Hey, I'm the co founder of Sigma. Can I look at this? And I was like, Oh my goodness. Like, of course. Like, this is so exciting. And so to just have, as you said, will reiterate, like feedback is always listened to. And we appreciate hearing like what people are struggling with because if we don't know that it's a problem, we can't make it better. That kind of thing. Definitely don't want to, can't commit to everything, but we do, we do listen. And I do remember a very specific conversation with one of the PMs. This was four years ago now, I think, where I was really trying to get something across and I had this mindset of, well, this is how this other tool solves this problem. So I just, I want to be able to do that. I want to do this. And I want, I want Sigma to do X, Y, and Z. And he kept pushing back and saying, well, like, well, why? Well, why? What are you trying to solve for? What is, what is this? And it got to this point where I was like, oh, if I just tell him what I actually want to be able to do, like my end goal or the pain point that I'm trying to solve for, I don't have to come up with the solution. I just have to trust that this guy is going to deliver on it. And they did. And so that was, I think, one of the really, how do I say it, like an indication that Sigma not only was a good product, but a good company and a spot in like organization that I wanted to be a part of, whether it was, I mean, again, at the time it was externally, it was still external, but it was something where it's like, oh, they actually care. They actually do want to implement my feedback. That's really exciting. And again, one of the things about being an early voice, you do get to help kind of decide or like say, hey, this is what our organization is really struggling with, or wouldn't it be cool if it did this? And again, we wanna create something that is meaningful and impactful and and powerful for our end users. This is you know, we got five minutes, so I'll try and we'll try and crush through the questions that have been asked. This this one was asked earlier on. And it's I think it's more general. It's more kind of like maybe in your experience in terms of navigating data, whatever that looks like. But Mariela Gonzalez Nieves is asking, it seems that in every corporate workplace, you have to navigate through a number of hurdles just to get access to data. You had mentioned that. Right? Of that being an issue. How have you overcome some of those restrictions as you've gotten on on your data journey? Yeah. I think the the couple things that that come to mind are making sure that you're you have the right stakeholder involved. And a lot of the times when I couldn't get access to data, it was because I was not the right stakeholder. I didn't have enough power in the organization. And so it's making sure that the right people are in the room to be able to make that decision. And then being able to translate or articulate to that individual why it's important to the business. Hey, I want data, access to data because I think it could be cool is like, sure, but maybe not the most impactful thing. And there can be sometimes there's a security risk where there's like, oh, well, we have to do this workaround or something like that. And so just making sure that you can articulate how it benefits the business, which then just to follow that that route implies that you know how it benefits the business. And that is, I would say kind of the main thing of making sure that whatever you're building is somehow contributing to either a positive initiative, hey, we're trying to add to this number or trying to subtract from this number, making sure that's all aligned with those things. The other thing that I would say is sometimes there's just, there can be friction because of process or because that's how we've always done things. And sometimes showing an example or prototyping something with fake data can be really helpful just to show like if the individual or the stakeholder or the decision maker can't envision what it would be like, being able to show them something using the assistant or going on to Sigma Public and saying, Hey, look at that. That is a thing that we could build. Here's an example of what it is. I have always found it easier to show someone something than to be like, imagine a world where all of our problems are solved by giving me access to this data. Yeah, I love that. There's two questions here. I think they're kind of asking the shade of the same thing. You know, Jan Tanner in in the q and a was asking, and he admits it might be difficult to answer. But in your opinion, is is Sigma easier to use than Power apps? And then another question is, you know, does Sigma contain a lot of the features that Tableau does? They're essentially asking, can I do what I can do in Tableau and Sigma? So kind of those shades of, you know, how easy to use, what can Sigma do relative to, you know, the rest of the field. Yep. Yep. Yes. I would say that in in any comparison, there's always a shade of that Venn diagram. We can do the I would say that you could answer the question in, we can do the objectives that power apps, that Tableau, that insert any BI platform or any application building platform can do and more, but we might not check the same boxes as other things. Sigma is trying to create its own path and we are making decisions that are, hey, we think this is worth the investment. We think building out some of these things are a better investment for our end users than perhaps some of these other things that traditional BI platforms or traditional platforms decided to do. Maybe it was a long time ago or they are doing. So yes, with an asterisk is generally the answer to that question of can I do the same things? It might look a little different. I think a great example of that is using LODs from Tableau. LODs, level of detail, like what am I trying to aggregate this calculation to? In Sigma, you create a grouping table. One of the things that you can do in a grouping table is have multiple levels of a grouping table. You can say, here's my profit by store, by state, by region, all within that same calculation or all within that same element and same view. And then you can reference and use or reuse those calculations. And so yes, it's the same objective, but I don't need to do it in exactly the same way. And then how easy is it? I would say that Sigma is one of the easier platforms to use. I think that our ability to have a builder assistant, that's obviously a very easy natural language. I can just type in a prompt as we saw in Sigma Public. I don't necessarily have to know what to do in Sigma Public. I don't need to know the Sigma elements or excuse me, yeah. The Sigma elements, but I can know how to ask that question. That's something that I think is very easy to do. And then Sigma is a very spreadsheet based or table based visual representation. So that would be something as a lot of business users are a little bit more familiar with and just makes it a little bit easier to kind of like, I'm gonna click on this and I'm gonna type in my formula and just kind of go from there. I will say that anytime you have a new platform, there's always gonna be a learning curve, whether it be what menu option am I clicking on or, hey. What is, like, what is the name of this? Like, I think, for example, a lot of BI platforms, a lot of other platforms use the term parameter. We use control element. And just kind of knowing the language, knowing the lingo, what to click on. Those are those are always going to be things. But I would say that in general, it's very easy. But of course, go check it out for yourself as we saw, you know, go check it out on Sigma Public and and explore how how it works for you. Yeah. Do you have like three more minutes? We can answer two more Okay. Yep. Cool. One is asking, this should be an easy one to answer. How is AI assistant, which we demoed and looked at earlier, different from Ask Sigma? Yeah. So great question. A little bit of history in that answer of we had something called AskSigma that was in the home page. And then we had in Workbook Builder Assistant. And then we had agents and we had AI columns. And it was like, okay, we've got AI everywhere, but it was a little confusing to people. And so we have consolidated the functionality or consolidated the branding under AI assistant. So the answer to your question is they're the same thing. There's just two different windows or two different interfaces into it. So on the homepage is AI assistant where that is, I can access the AI assistant to do a very like straightforward kind of like think chat GPT or just conversation where I'm asking a question, I'm getting data, I'm seeing the analysis and that sort thing. And then I can open that into a workbook if I want to and continue on the analysis within like a more traditional Sigma experience. And then again, the assistant can, once you're in a workbook, it can help you do the same things that the analyze portion was doing of Ask Sigma or the AI assistant was doing on the homepage, but now it can help you build. So it's pairing the right AI functionality with the interface that you are engaging it with or in. Yeah. Yeah. That makes sense. It's a good distinction. Okay. Last question. You're doing great. Rachel Morris is asking on on data access. She's mentioned that she runs into a lot of dev side pushback because they've been burned by people using data without understanding architecture. Makes sense. They don't have time to hand hold when the data appears wrong. Finding the gatekeeper oh, this is a statement. Hey. This is good advice. Yeah. I was like, oh Yes. I thought it. Yeah. But then no. That's great. Finding the gatekeeper and gaining their trust is real. So true. So true. And in terms of making those partnerships and making it make sense. You mentioned that in your answer of like, make it make sense, make those relationships. If it's a good relationship, those people are going to be way more likely to trust that you're going to be responsible with that. Yep. So. Yep. Yeah. I I wish we had another hour. That's that's that's my statement. But I mean Yeah. Annabelle, is there is there anything before we let Katrina get to her very busy day? Aw. Anything else on your mind that that you that you can think of that's worth asking? Or No. I think that is great. I cannot see what's next for you. Whatever you will launch like this champion program or what's next on the on the Sigma Public, maybe you will have, like, soon, like, an advent calendar done on Sigma Public. Yeah. Yes. Yeah. Please please build anything and everything on on Sigma Public that as I mentioned is a lot of where my personal time is is going and and I again, I'm super excited just as a as a former user, former external user, obviously a current internal user, this is the thing that I've wanted for so long. I'm just so excited to be able to find other cool data people doing cool data things. So please come hang out. Come join, participate. I'm very excited to to meet everyone and to hang out. Yeah. Well, thank you so much for for joining and and sharing all this. This is awesome. I love seeing Sigma Public. And and I just like you said, I love hearing from people who who have who have witnessed a lot of change, have who have gone through the tools and done all the other things and to see them what gets them excited, stuff like Sigma and and and all that. I definitely encourage people to go check out Sigma public. If they want a demo of Sigma to go, definitely give that a shot. If they're looking for any Sigma services, anything, obviously contact InterWorks. We would love to help you migrate. We'd love to help you build stuff. We'd love to help you do whatever you wanna do. But I I really appreciate you taking the time and and sharing this with us. Super fascinating. Exciting. Makes me wanna go build something. I wanna go learn it now. So Yes. Yes. Well, thanks for having me. Thank you for coming in, Katrina. Yes. Yeah. Thanks to everyone for tuning in. This will be live. There will be an email, by the way, an email of the recording or a link to the recording for people who wanna rewatch it or maybe share it with a colleague or whatever. So anyone who's still on yep. Just be sure to check that. All right. Well, thanks, everyone. Appreciate it. Have a great day. Bye.