[Music] [Travis Sabin] Welcome to Summit, everybody. Well, you've been here all day, I suppose. Welcome to this session. My name is Travis Sabin. I'm a Product Manager on the Adobe Analytics Team, and I'm excited to have our session today with you. Today, we're going to be talking about some tips and tricks within the suite of tools within Adobe Analytics and Customer Journey Analytics. If you've been in my session before in the past, this is a fun interactive session. So there's going to be polls and stuff like that throughout the session to keep your phones out, not to text or to be on X or anything else but to pay attention and engage certainly, please. I'm excited to get started on our session today. So, we have the 2025 Adobe Analytics playoff here.
And so we've got four major bowl games that we're going to be going through today. The flour bowl, presented by navigation. The grapefruit bowl, presented by democratization. The siesta bowl, presented by different data. And the silk bowl, presented by augmented analysis. All of these features will come together in the grand mommy of them all, the tulip bowl. So please get ready for that championship game that we'll be going through. So like I said, as we'll go through, we'll highlight each of these features. We'll go through and vote and pick a winner based on your votes and nominations to win that particular bowl, and then we'll have four finalists that we'll vote on and choose crown of champion as we go through this. So throughout this session, these are the things I'm hoping you'll take away from what we're talking about today. So first and foremost, review the latest tips for navigating through your projects. We've got some great new features to help, with ease of navigation and getting your users or you personally right where you want to be. Next, we want to help figure out ways to onboard and ramp up new users faster than ever. And then third, we'll have new ways to investigate, analyze, and look at new types of data. I also like to move around, so don't be alarmed that I walk in the crowd. So just FYI. Fourth, we're going to augment your analysis with new ways to analyze your data with some additional tools and things like that. And then lastly, one of the favorite parts everyone loves to see are some of the sneak peeks at innovations for things that we're working on currently and things that may or may not be coming in the future. None of this is promised or guaranteed, but this gives you a snapshot of the kinds of things we're work working on behind the scenes, me, the rest of the product team and our engineers. So that's where we're working towards today. So this is your last chance. Any entry submitted after 04:04, you will be disqualified from any money. So I got a timestamp on my form here. Get it in. This is your last chance. All right. Let's kick things off by going to the flour bowl presented by navigation. So our first feature in the flour bowl is the Table of Contents. So we've added a new table of contents feature to Analysis Workspace. You may have a project that's long and you have to scroll and scroll and scroll. You might build a text box at the top with links to different aspects of the project as a workaround in the past, instead now we have added a table of contents to the far left rail that will automatically curate all of your visualizations into an easily clickable table of contents in the left rail. So whatever the names of your visualizations are, those are the names that will be reflected in the table of contents. So if I update this freeform table two to now be called countries, the table of contents dynamically updates and is renamed appropriately. And if I want to change this donut to be my country's donut or something like that, I give it a new name, and it automatically is going to be reflected in that table of contents in the left rail. You don't have to do anything. We automatically add this to every workspace project out of the gate. So we've also added a new visualization called the section header. So you can break up and organize your visualizations by category if you want to. So these are all my regional data. And so, I want to put these all in a bucket together. So now when I go back to my table of contents, I can see I've got a header of regional data and then all my other visualizations underneath it kind of indented below. So really easy way to navigate and organize your data a little bit better, especially as you're sharing this out. So if you use one of our previously released features, the share with anyone links, you create this as a share with any project, you send this out to your executives or any other stakeholders, the table of contents is automatically baked into this read-only project. So again, they can navigate across what you've built for them that much easier, right within the share with anyone link. So that is our first navigation feature, which is table of contents. This is available both, as you can see on the bottom, the little boxes indicate which feature or product they're available in. This is both CJA and Adobe Analytics. So that is feature number one.
Number two is free form hyperlinks. So many of you have probably built a project and you have got a table with a bunch of data in it, and you've got a dimension that captures all your URLs for your site or something like that. And you want to see how-- My video is not playing.
One more time. There we go.
So you could have a table with a whole bunch of content with some already populated URL strings, and they're not clickable today. Well, we've added a new feature to support that. So if you come in and you right click on any individual dimension item, you will now have an option where it will say create hyperlink. So if I right click on this particular dimension item, now I'm going to give this new menu option within our right click menu, create hyperlink. There are three options for creating a hyperlink. You can use the value of the dimension item. Like in this case, it's an actual URL string, so I can just use that. I don't have to change anything. I can just do that, and it'll automatically create a URL for me out of that dimension item value itself. Now I can see it's turned into a hyperlink text. It's blue. It's clickable. I see it takes me directly to my product page that it's associated with and money. Now any of my users in this project can look and see exactly what this value is. Now you might have in this case, this table is 10 deep. It's not that bad, but it's monotonous. I have to go through and click on all 10 of them. You can click on the dimension item header and create the hyperlink for all of the contents within that dimension item to save you a little bit of time. So you click Create, and immediately my whole table of 10, they're all now clickable. They're all hyperlinks. Now I might have an even longer one. This is 50 values, and that would really suck. I don't want to do that. So let's create the whole thing for this entire table. Again, one click and it's done. And I've got this really clickable table right within my analysis. To undo it, I right click and I can remove any hyperlinks that I've created. It'll go back in the order that I added them. So in this case, it will undo my entire table if I do this, but it'll leave that individual one that I did. If I want to, I could remove that as well. You can also edit your hyperlinks to be a different one if you want to change it. Like I said, there are two other options. You can use a custom one. So instead of being the product URL, I want to be adobe.com, and I can have it redirect to that specific URL that I've added to it. So that's the second option. The third is a dynamic link. So if you've got a URL string that's the same, but your dimension value is what curates the end of your string, you can use this third option to use the breakdown dimension option, and it'll automatically just pull whatever if it was a product page and you have pants, shirts, belts, whatever, and that's your dimension item and that's how your URL string ends, then it'll just dynamically pull that item and turn it into a URL string, so you don't have to go through and recreate it for every single URL there itself. So those are the three URL options. So that, again, makes it really easy to get around your projects and navigate through. So that is number two, Freeform Hyperlinks. Number three, this is Project Commenting.
The last one is for both Customer Journey Analytics and Adobe Analytics. This is only coming to CJA. This is not out yet. This is a bit of a sneak peek. It's coming in May right now is the plan. But for hyperlink or for-- Next topic. For commenting, excuse me, we're adding a new rail on the right side of the project where you can have a comments rail. You can perform a bunch of actions on any existing comments, edit, quote, delete, things like that. You can like, reply directly to a comment, and so you get the context of the comment right within the project itself. So you can tag individuals and say, "Hey. Actually, I want to be able to get this data," and you can update the comment directly there to have in contextual discussions about the analysis that you're performing. So I may want to ping somebody else in my organization to ask them to do something, and this is a great way to get them to come right into the project. So if they've been tagged, they'll get a notification up in the little pulse up at the top, the little bell thing. That's what we call our pulse notification, and they'll get notified of it. This is a project level comment, what I've been doing, but I can also add comments on individual visualizations. So if I want to direct somebody to a specific table or in this case, a key metric summary viz, I can add a comment directly to that visualization itself. So when they come in and they see that comment, it's tied directly to that analysis and they know exactly what I'm talking about. So there's no confusion about what I'm asking them to do or where I'm wanting them to do it. It's directly associated with the comment itself. So it'll get added to the comments rail on the right, but when you click, it'll highlight exactly where the comment is associated within the project. So really great way to boost collaboration and make it easier to help users come in and understand exactly what's going on and have clarification in context of the project itself. So that is project commenting. So those are our three visualizations for the flour bowl. So now is the time where you guys get a vote. So get out your phones.
If you're on your computer, you can type in that web address, or if you want to put in your mobile browser, you can do that. Or you can just text 22333, my name, 581, to that number and then you can start voting on which of the three you think is the best feature in the flour bowl. So we'll give everybody a second to vote, and we'll see what comes in. And don't let peer pressure sway you. If you don't think hyperlinks isn't the best one, then vote for the one that you do. Okay? If you do, that's great. But don't get bought into peer pressure. We're not in high school.
So we'll give it 30 seconds or so for everybody to get their votes in.
All right. This table of content's going to do it. Is it going to catch up? Okay. Oh, my goodness, it's going to do it. Oh, man. Any final votes? Who hasn't voted? We're getting a nail biter now.
Oh, man. I need someone else to vote. I can't have a tie. The system is not-- We're not in America. We don't have ties. Come on. There we go. All right. In three, two, one. Table of contents wins it by, ooh, the skin of its teeth. Okay. Cool. No!
Oh, what!
Okay, the polls are open for ten more seconds. Ten, nine, eight, seven, six, five, four, three, two, one. Okay, it's table of contents. It's closed. All votes have been counted. We're done.
Excellent. Okay. Awesome. That was fun. All right. Let's go to our next region, the grapefruit-- Not to be mixed up with the orange bowl that is presented by democratization. And we're going to talk about-- What do we got here? So our first one here is Workspace Templates. This is a long existing feature in Adobe Analytics, but we've done an overhaul to the templates experience for CJA and the navigation experience within Adobe Analytics as well. This just released in January. This is hot off the presses. But you've got our traditional waterfall chart or column view here where you can see the templates themselves that has long existed in Adobe Analytics. But we've added this very sexy, very visually pleasing card view now to the templates. So if you want to get a snapshot of what all your templates look like really quickly, we've got this great new card view that you can use. You can sort by most recent, alphabetical, things like that, and filter by your data view or the filters column as well. We've got some built-in use cases and channels and things like that that are associated with the templates to help identify what you might be looking for in this card view where it's not structurally organized by those particular use cases and things like that. We've also added this new preview. So if you aren't sure which template you want to use, you can click on this preview and it gets you a description, why you might want to use it, what components are in it, any related templates as well as over a much bigger screenshot of what actually is within the template itself. So you can look at it, having to load it up and see if it works through a date or anything like that. But once you click, use template, you've got this great out of the box starting place, especially for newer users. This is a great way for them to just browse your data and get familiar with what's available, what it looks like, what numbers they're looking at. A really, really great starting point to point newer users, who are coming into the product. Now in CJA, because we don't know your schema, you might not know not all your components may be mapped. So you click on this, not ready for use option. It'll show all of the ones that haven't been mapped yet, and you go to this little red box here, and it'll show you which components are missing. And you can go into your data view for that particular connection and map those components, so you can start using these use cases. We built a bunch of additional templates for especially in CJA for non-web data. So we have call center, point of sale, and a bunch of other ones that you can use in CJA. You just have to get the components mapped up appropriately. We've also moved all of company templates within this template section, and you can modify any existing template or a brand new project and save it as a template. And then you can fill out the same fields that we have in the preview section with whatever content you want to provide as far as the description and why they should use it. You pick the channel and the use cases that are appropriate, and now this template will get saved and added to my company templates section. If you haven't seen it in the tool itself, the name for the templates section is dynamic for your organization. So whatever your organization name is, it will show up there in the left rail on the template. So I've saved this now as my Business Report Summit Template. Under my Adobe Marketing Cloud, that's my dynamic organization name. I've got my business report with the Summit template and added to it. Currently, there are not screenshots on the card view for the organizational templates. That's coming in a month or less, possibly by the end of this month. They're releasing it very soon. So soon we'll have full card view support on both organizational and Adobe provided templates. So templates are a great way to get started and for users to come in and learn and acclimate themselves a little bit to your project. So that is our first one for the grapefruit bowl.
Next is Asset Transfer. This may seem like a bit of a snoozer for some of you because it's been a longstanding feature in Adobe Analytics, but for anybody who's migrated to CJA, there is a little bit of, I'll call it work to get CJA up and running. You've got a lot of assets that you've probably built up in your Adobe Analytics instance, projects, components, and things like that, and you need to get those available and ready for use within CJA. Well, you can migrate all those over to CJA, but usually that ends up landing on one particular admin who now has a million different assets that they have. So the asset transfer tool is a great way to get those distributed out to your end users, so you're not the sole keeper of every little piece of product that you have within Customer Journey Analytics. So within CJA, you come into the Tools, drop down, click on Asset Transfer, and then you'll come in and I'm going to look up for myself. I'm going to find some of my components and assets that I want to share with some of the other people on my team because I don't want to keep holding on to them. So I've got my list of everything I've got here, all my projects, filters, and things like that. You can select all. I can select one on one, or one by one, I should say, which ones I want to view. And so I'm going to pick this particular project, and I'm going to pick a couple of filters possibly to share. And once I've got what I want, I select up in the dropdown who I want to send it to within my organization. I'm going to send it to Ashok on my team. I hit Transfer, Confirm, and it's done. And now it's been successfully transferred, and I don't own those components anymore. He does. And now I can get these projects and other things out into the hands of the rest of the users that need to have access to them. So again, really seemingly simple, but a really great tool for helping distribute your content and components out to the right individuals. So last one is AI Assistant. Now this one is, again, only for CJA where all of our AI goodness has been going these days. Previously, the AI Assistant was really good at being a doc finder. Basically, you could ask it a question. It would scour our docs and fetch some results. But with this new update we added to the Assistant, you can come in and ask it analysis question, and it will spit out an actual result within the Workspace canvas. So I want to know which-- I want to show purchases in October. I do that, and now I've got a free form table and a line chart accompanied with the month of October, my purchases, the right date range, and a trend showing how those are performing in the month of October. I can ask more sophisticated questions like compare purchases by product category from September to October. I click on Generate, it runs for a minute, and then it's going to spit out again in a new panel, an accompanying bar chart this time, and a free form table with the month of October compared to September, and the percent change between the two. And now I can really easily see all that data represented without me having to build-- Oops, that's the mic. Build anything. I just ask a simple question to the AI Assistant, and it does all of the work for me. So this is a great thing to use for users who are trying to learn how to build things within the product. I can ask it other types of questions like, I want to show the quantity by day of week, and so I want to see that for the last month, for example. And I want to ask this question and now I send it off in the same project again. It spits out a new bar chart and a new free form table, so I've got the day of the week and the quantity for each of those days. Now I can also augment a previous question. So this time, I want to add profit, for example, to the existing free form table. I just click Add Profit, and it will add that as a new metric column to my free form table and update my bar chart accordingly. All I had to do was type in that small little request to add profit. And then I can do different types of things besides a line chart or a bar chart. I want to see a donut, for example. So I want to see a proportion of profit by store name, for example, so far this last year.
And so I asked the Assistant to run that query for me, and it's going to spit out this really great donut chart with all my stores and the breakdown of their profit by each of them. I don't care so much to have this no value, so I'm going to remove that in the filter and apply that. But now really quickly and easily I've built this project that has a whole bunch of data in it all constructed without me doing really anything other than asking just a few simple questions, which is really, really powerful. So that is the new AI Assistant update that is coming very soon. So let's vote again.
Which of the three features is the winner of the grapefruit bowl presented by democratization? Who's going to help get things out into the hands of your users better? Let's see if we can have another comeback here. That was exciting.
Or it might be a total blowout, which is the case in many of the playoff games just last year.
All right.
I don't know if I need to hold the polls open as long on this one, but we'll give another 10 seconds or so while I tie my shoe.
All right. And three, two, unless all 200 of you who haven't voted for some reason want to vote for something else. All right. The AI Assistant is the winner of the grapefruit bowl. All right. Very well. So let's move now to the siesta bowl presented by different data. So this is all about bringing different types of data or doing different types of analysis within Analysis Workspace. So the first one is AJO and CJA reporting. So any of you who are joint AJO and CJA customers, this is a new integration that we've worked on over the last year or so. We released a few things for it last summer, a little bit more October, and we finished up just last January, which a lot of this bore out a lot of the great things that we've showcased today like table of contents and freeform links. But in AJO, we've got embedded workspace reporting within the AJO product for journeys, campaigns, overview reports, and a few others. You can look at all of these. They're all run by the same engine, so the numbers are the same. And if I want to, I can click on this analyze in CJA button and open up that same AJO report directly in Workspace. So now I can modify it. In AJO, it's largely read only, but in CJA, I can do whatever I want like you normally can with CJA. So maybe I want to augment this freeform table here with some additional metrics. I want to add sends and delivered, for example. I care about those metrics as well for my journey. And then I want to see it broken down by day, and that's really important to me. And so I can obviously do a whole bunch of other things. I could remove some stuff. I could add more visualizations, do anything I wanted to, just like you can in Workspace. But the cool thing I can really do here is I can save this, and using the templates workflow we just walked through, one of the template options is to save it as a Journey Optimizer use case, and that gives me some new fields where I can choose the activity type. This is a journey and a specific journey name. And so now when I save it and I go back into AJO, I now have a dropdown at the top of my AJO report where I can choose a non-default template. So I can choose the custom one I just curated, and it will refresh my journey report now to include the things that I just added. So now in AJO, I see sends, delivered, and the date breakdown that I added to the report because those are the things that are specific to my organization that I care about instead of being stuck with the lame report that the Adobe people put together and said, "Here's what you get." Okay? So that is our integration with AJO and CJA. There's a ton of great stuff here, but really, really cool use case for this publishing back and forth between the two products to meet whatever users, wherever you do their analysis, where they need to be, whether it be in AJO or in CJA.
So that's the first one. Next is Summary Data Sources. So this has been a long time Adobe Analytics feature, but we've now added support for this last August, I believe it was, for support in CJA. So in next in AP, you come in and update your schema to be a summary data schema. You get the schema set up just how you want it. And once you have the schema put together and ready to go as a summary data schema, you can now bring this data directly into Analysis Workspace, which is really, really cool and unlock some really cool use cases. So once you've got it ready to go, you save up, you come into your connections, I should say.
And you're going to find the dataset that you're looking for when you click on add datasets, and then you'll find, amongst your datasets, the one that you just added within AEP, and then you can choose that. And I'm talking too fast.
So I'm going to search across, find my summary datasets. Now I can see the dataset type. There's a new summary dataset type listed there, so you can see how they're distinguished between your event datasets and things like that. You choose the one that you're interested in and then you can add any-- You can get a preview of the data. The default granularity is day. You can also have updated to hour via the API, and the same with the time zone, you can change that as well via the API. Once you import all of this new data, you save the settings, you're then ready to go and do the analysis directly within Analysis Workspace.
So I'm going to move into Analysis Workspace now and I have-- Oh, wait. I need to go to my derived fields first. So you have a new summary dataset added to your schema field, and you're going to choose the summary data set that you're interested in from the dimension-- Or the summary data set folder. And you can see I've got some summary data added to the different components here. And there's a new grouping method here called summary data grouping that is now available as a summary data source. So if I want to bring common components that are together using the summary data group, I can do that. So if I come and find my tracking code and I click on the summary data group, I want to bring my tracking code and my campaigns together. I click on the Summary Data Group, and it'll present me with a dropdown where I can choose the other component that I want to group it together with. So I'm going to click on that, and it will open up this new option to select from the dropdown, the other component that I want to bring it together with.
If I click enough, there we go.
And I'm going to create a grouping. I'm going to choose from my dimension the campaign code, and my tracking code and campaign code share a similar component that I can use together. So I group these together and then once I save that, I can go and I can use this for analysis within CJA, within Analysis Workspace, which creates some really cool use cases now that I can use. So the first thing is here, I've got this table built out with my tracking code, my orders, and revenue. Those are all my event level data that I've already been collecting and reporting on. But in the left rail, under my metrics now I've got some new types. You can see I have my cost data, and in parenthesis, it says it is a summary data source. I'm going to add that to my table here, and then I want to bring in my impression data as well, also summary. So you can see there just by the way that we've distinguished them, which ones are event versus which ones are summary. Because I've grouped them together, they're all associated with this tracking code. I can create a calculated metric like cost per impression, which is based off of the two summary metrics, cost and impression, or my return on ad spend, which is a mix of my summary data and my event data. So I can combine those two together to create a summary and event calculated metric here to see my return on ad spend. So really quickly now I've augmented this data here, my tracking code data with more valuable information that I didn't have. So I can enrich the data to make it that much more effective in my analysis. So that is summary data sources.
All right. Third is Product Usage. This has been something that customers, you guys, have asked for a very long time, is to know, "Who in my organization is even doing anything, and what the [CURSING] are they using because I don't know what I can get rid of and what I can keep and what I need to have." So in CJA, we've added a product usage to the tools dropdown. You have to enable it first of all because it'll create kick off a new system generated connection and data view for you to use, so you'll get charged for it. But once you enable it, you come in to the data view. You can see you've got these product usage ones already added for you automatically out of the gate just by enabling it. You don't have to do anything. And then within the templates workflow, again, that we showed earlier, there'll be a new product usage overview template where you can come in and see who are the top users in my organization, how many sessions and events are they contributing to. You can see them by their username, which project types are people using and things like that. So now really quickly, you can get a good overview of who the users are in your organization, what they're doing, what projects are being utilized, what components, segments, or filters, date ranges, all those kinds of things are actually in use, and which ones maybe more importantly are not being used. So you can clean up some stuff, or if you need to do some training to a set of users and say, "Hey. I see you guys are using this project, but this one is an old one and outdated. You should be using this one and vice versa." It's a really good way to help inform you as the administrators especially which ones people are using and how you should go about cleaning up some of that stuff. So that is product usage. So we're ready for our next vote. So get your phones back out. Who is the winner of the siesta bowl? AJO by CJA, product usage or summary data? Oh, man. We might have another close one.
Oh, man. A three-way tie would be just a monumental failure. So let's see what happens.
But I guess that's good. I'm glad you find value in all of the things that we're doing. So that's good.
All right.
Come on. Somebody's got to pull away. Ten more seconds.
All right. We're going to call it. Oh, no! Again, final votes, five, four, three, two, one.
Somebody, vote.
Oh, it's AJO and CJA, but it's a close one. All right. We're going to call it there. All right. That was a nice, very close one. Okay. Next, we have the silk bowl, cousin to the cotton bowl, presented by augmented analysis. And so we're going to talk about new ways to analyze your data here.
So let's go on to our first one, which is a recently released feature Journey Canvas.
Not to show any bias, but this is one of my favorite things we've done in years. So Journey Canvas is a really, really cool new way to visualize and analyze your data in CJA. So you pick the new Journey Canvas from the visualization library, you choose the default primary metric, you can have a secondary metric if you're interested in that. But then once you hit Build, you have a blank canvas to do whatever you want. So in this case, I'm going to drag on some dimension items from my page name dimension. I'm going to bring on the home page. And as soon as I do that, I get this little, what we call a node and I'm going to drag on a few more items to get a few more nodes. I can see out of the box really quickly how many people within this date range are going to my home page, my purchase step one, and my purchase step two page. Now right now they're all just on the canvas. They're not connected to each other, so I need to click on these little edges here and drag them and connect them to the appropriate place on the subsequent nodes. And now really quickly, the numbers have updated to show people moving through this particular funnel. And I've only been using dimension items, but I can also add a metric as an ending metric or anywhere in the funnel as well in the journey. So I connect my purchase step two to my total orders metric, and now I've got people going from home to purchase step one, purchase step two, and ending with my conversion metric, my total orders, which is really cool. Now this is a pretty standard type of funnel that we've already got and we've had for years, but there's a whole lot of other really cool stuff that I can do. So I can drag it directly onto what we call the arrow, the little line between the nodes, and it automatically will add it to the journey as another step. So I've got home and then search results and then purchase step one. I can also drag on some other components and make what we call a forked funnel. It's a common use case you guys have probably seen or requested or wanted to do with some of our funnel features before. So I can drag on the forum page, and I can drag on courses. Now I can drag it on top and combine them together so they can go to search or home or search our courses page. Or maybe I don't want to do that, so I click on the info and get rid of it, and I'm going to add it as a third fork in this particular funnel here. So I'm going to connect it from my home to my forum page, and then I'm also going to connect the home to my courses page and then bring those back in to connect it to my purchase step one within the journey itself. And so now once I get these all connected appropriately, if I know how to use my mouse, then I can-- There we go. See, I can do it.
You connect it together, and now I can see how people are moving from my home to one of three options. They don't have to be forced through a particular one. You can see how the data changes and how people are moving across the journey in one of these three options and then come back together to complete the journey in step one, step two, and so on. Really cool use cases. I can do a breakdown right on the Journey Canvas. So I can drag a dimension onto this metric, and I want to see which product is driving the most orders. And I get a top five right there on the Journey Canvas. If I need to know more, I click open in freeform table, and it spits out this new freeform table with that same data broken down so I can dig deeper and go further if I want to better understand that breakdown of products that are driving the most orders. So really, really awesome use case here all on the Canvas. Now this has all been my mobile browser data, but I want to see my mobile web or my browser data, I should say, and I want to see my mobile data. I can bring that in. I don't care about all of the steps. I'm just curious to know how that data is working together and which one is driving the most. So I can see how my mobile web comes in at a later start and drives directly to total orders along the funnel as well. And in this case, I want to maybe see-- I want to filter the data a little bit. So I dragged on the dimension item which gives me the top three values. One of them was no value, so that's no good to me, so I'm going to get rid of it. And I'm going to stick with USA and Greece. And so in this case, I'm going to filter my web data to see who is coming from USA, that domain, or who is coming from Greece in terms of my regional data. And so now I've got this pretty cool journey here that I built in just a matter of seconds and unlocking a bunch of use cases that you just couldn't do before with our funnel analysis which is still has its place for a known linear funnel. But if you have a crazy journey, which I'm sure you all do, have people going off and doing random stuff all of the time, and you're like, "Just go where I want." But they don't. And so you got to build something like this where you can analyze where they're going instead and what they're doing, and how they get back to where you want them to go. So that is Journey Canvas.
Next is the BI extension. So we released this last year. We've got support for the BI extension in Power BI, Tableau, Looker, MicroStrategy, Jupyter Notebooks, and RStudio are all supported. So to get started, you need to come into AEP and grab your credentials here. These are the credentials that you'll use that you'll type into whatever BI extension tool you want to use. You'll pull them from here. If you need, non-expiring credentials, you can generate new ones and get those, and you're off and running. So you can take something like this data view I have here, my Super Ultra Comics data view, where I've got a project together where I have some return sessions per week, and then I have some average orders, by superhero and by super villain. I've got them broken down into these donut charts. So I've got this really cool project, but I want to see it where some of my executives are going, which is only in Power BI. I can't get them to come into workspace. So I'm going to recreate that dashboard in Power BI. And so I've done that here through the extension here. And then in the data column here, you can see that data that I have from my data view is available directly in Power BI. And so you can see I have the name of my data view, super ultra-comics_all. That's the same one that I had in Customer Journey Analytics. And then I've got all of my components. The same ones that you can find in CJA are available to me here in Power BI. I even got my calculated metrics, and we've got all of the naming appropriately for those. So I can use those to help build any of the dashboards that I need to recreate. I also have my date ranges that I've created and built in CJA added to Power BI. So I've got all of these options here automatically added once I've got those credentials provided, connected together, so I can build and repurpose anything that I need to for those stakeholders using the same data. So there's no mismatch metrics or anything like that.
And then in here, obviously, if you need to, the naming can be really important. So if you need to make sure you have any updates, you can come to your data view. And the external ID is what we use to govern the naming within the BI extensions themselves. So you can rename these to be whatever else might be appropriate for you. If you need a more friendly customer or username, that name will be reflected up at the top for your data view, and you can do the same thing with your calculated metrics and so on. So BI extension is a great way to augment your analysis, get your data in hands of other users and stakeholders and bring some of that other data together within Power BI. So that's number two. All right. Our third and final one for augmented analysis is Guided Analysis Embedded in Analysis Workspace. So we released Guided Analysis a year or so ago. And just recently, last August, we added support to bring your guide analysis directly into an Analysis Workspace project. So on the far left rail, we've added a new Guided Analysis icon. You click on that. You can build a new one from any of the existing guide analysis types, and you can drag that on, and it'll give you this new option to-- In this case, I'm going to track release impact. And so it gives a takeover screen here where I can use the same stuff that I would do directly in Guided Analysis. I can do it directly here in Workspace. So with this release impact, I want to know how well the Journey Canvas tool that I built and put together and released is doing. We released in October. I want to know how well it's driving sessions here. So I can see before it released, my sessions were around 14, 15 was my average sessions. Now after the release of Journey Canvas, I can see my sessions have jumped up to 26 on average. So really quickly, I can see the impact of that new visualization. This is real data, by the way. This is actually what happened by our users. So this is really cool to see the impact of that. You can modify that directly in Analysis Workspace. You have some of the little tweaks here to show just the chart, the table, or all within Analysis Workspace. If you save anything in the Guided Analysis, you can reuse it here in Workspace and pull from your saved list. So I've got this trend with our PCA cohorts. I drag that on, and the analysis that I already performed previously elsewhere in Guided Analysis is saved and just repopulated here directly in Analysis Workspace. So now I've got a workspace project that has some of my Guided Analysis work that I've done alongside the rest of my workspace stuff that I've built previously. So really great way to bring in-- Especially for the product use cases that Guided Analysis unlocks, really great way to bring all that data together, augment what you've been doing within Analysis Workspace, and make it that much more powerful. So those are our three features for Augmented Analysis. So pick up your phones, call us...
Pledge 5 more dollars to save a dog. Whatever it is that people say when they-- Pick up the phone. All right. Let's see which one is going to be the winner here.
All right. Three, two, one. All right. We'll call it. Journey Canvas is the winner. So just like college football, they cannot stop talking about expanding the playoff or expanding a conference to bring another new member. So let's look at some expansion candidates for Adobe Analytics. They're not eligible to win this year, but let's talk about them. These are some things that we're working on currently that are just a little sneak peek of things to come. So the first one is secondary sorting. So currently, you can only sort by one particular column within Analysis Workspace. But with secondary sorting, we can unlock the ability to do secondary, tertiary, and so on type of sorting. So you can do your normal sorting options here. But if I want to click Advanced Sorting, you can build a set of rules to sort your freeform tables. So in this case, I'm going to choose my account number. I'm going to sort those by smallest to largest. And I have my IMS user email A to Z. And now I save it, and I can see which one is governing my table here, my first one, my primary sort, and my secondary sort. And this is a really quick demo, but that's it. Like, really, really quickly, now I can do multiple dimensions and don't get taken aback by the table you're seeing. That is a table that has multiple dimension columns, not breakdowns, also known as a flat view table or a flat table. That is also coming hopefully in May, but I'm not demoing that right now. This is just a freebie you get as part of that project. So secondary sorting is going to be really cool to allow for even in a non-flat table, if you have a single dimension and a whole bunch of metrics, you can choose which metrics are going to govern the table sort order, in there. Okay? So that is secondary sorting. The next one is correlation matrix. So if you ever want to get any more statistical analysis within Analysis Workspace, we're building a new visualization called the correlation. Well, actually, we're just calling it matrix now, to be honest, as it is being in developed right now. But when you do this, you'll add a new visualization to Workspace. There's two options. They're correlation and include in pair or what we're now going to call overlap. You choose your dimension that you want to see the correlation and which metric you want to see it by, and you click Build. This is a bunch of dummy data, so it's not going to look that great. But this gives you an idea of what it can be. So I have my top 10 dimension items going down and across, and I can see the correlated pairs, between them to know which ones are more highly correlated versus others. Now essentially, if you were to right click and see this as a trend, the trend is what gives you an indication of how highly correlated they are. And so you can get a view of which ones are and which ones are not. If you change it to include in pair or include pair and filter I mean, or what we're going to probably call overlap, this is more of a basket analysis. So if you want to know which things are bought together or used together. In this case, I want to see which visualizations are used jointly in the same session. And no surprise, a freeform table and a line chart are most often used together. Who would have guessed! But you can do the same type of analysis using this overlap feature within the correlation matrix viz to see which products are used together, which features on your site are used together and the like. So that is the correlation matrix.
Last one is the Interactive Training Tutorial. So we've long had a starter project that you can use to guide yourself through an onboarding session to learn Analysis Workspace, but it's not always super helpful. If you are brand new and you're learning your Analysis Workspace, this interactive, more guided experience will show you what to do and help you learn where to click and how to get started. So you've got live feedback as you're doing what you're supposed to be doing by the tutorial, whether or not you're getting it right. So you click on the components icon, and it says yes, Well done. You have done it. You're following the steps that you're supposed to do. And now it says to add the page dimension. So I'm not sure where to go, so it highlights for me where to click and drag, and I bring that onto the table. And I can see I've got a little green check mark saying I've completed that. Now I got to look at the table and interpret the data which can sometimes be confusing for people. So this is a great way for people to learn how to find that. And then I get fireworks. Boom. You did it. Now the tutorial moves on, and I can see some videos to help me learn what I'm doing to get additional feedback there, to learn if I'm following the right steps or not. But the Interactive Training Tutorial is really good, again, at getting users up to speed on how to use Analysis Workspace without you having to hold their hand and walk them through everything, all on your own. So that is our third sneak peek feature, the Interactive Training Tutorial. So let's vote on our expansion candidates. Which one is the best? The Secondary Sorting, the Correlation Matrix, or the Interactive Training Tutorial? Bunch of stat nerds in here. All right. I see. I see how it is. That's cool. No problem with that.
The secondary sorting have it in it to pull off the comeback, like we saw earlier.
Doesn't look like it.
Okay. We'll call it. The Correlation Matrix is our expansion candidate winner. So now we move to the final bit of the tulip bowl, the grand mommy of them all, the championship game. Which one is going to be the champion today? So as a recap, hopefully, you've noticed as we've gone through each of these, hence the names of the bowls and all that stuff, all of the things we've done have been in service of helping you achieve these outcomes. Okay? To make it easier for you to navigate around your projects, to make it easier to onboard newer users, find new ways to analyze your data, unlock new types of analysis, and then we have a little sneak peek at the end. So we've got our playoff bracket. We've got our top four. And if I was updating this appropriately, it looks like it did. We've got our final four competing in the championship game. So let's pick a winner, and this will dictate who gets the money. So if you are still-- Does anyone still have a perfect bracket as far as they know or remember? Any hands? No one? Maybe? Okay. Let's see.
Cast your final vote. Which is your favorite feature of the day? Who is the winner of the Tulip Bowl championship game? Table of contents.
All right. Our winner is the AI Assistant. So who picked AI Assistant as their winner? Okay. Let's give out some money.
So I'm going to pick a random name for who picked the AI Assistant.
Pauline Hernandez. Where are you at? I hope you didn't leave Pauline. Where are you? Pauline? Oh, no. All right. Someone else gets a chance now.
Hernandez.
I might need photo ID now.
Oh, yeah. That's me. I got a new name. Okay. Let's go with Drew Miller. Drew! Come on down, Drew.
You get 50 bucks. Now let's see.
By honesty, before I have to look, anybody get a perfect bracket? You think? Okay.
Let's see. We need-- We had the-- Which one, the future one? The Training Tutorial-- Oh, no. Correlation Matrix won, that's right.
And we had...
Journey canvas.
AJO, which one, first one, Table of Contents? I have Vivek Sharma down.
Is Vivek in here? He's the one that-- Maybe I didn't get your-- You can come talk to me afterwards. If Vivek's not here, he didn't get to claim his prize, I guess. So okay, come talk to me. We'll look at it. All right. Well, that is all for today, everybody. I appreciate your time. Thanks for coming to the session.
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