Getting Started

Hi, everyone. My name is Danielle Doolin. I’m a product marketing manager for Adobe Analytics. I’m really excited to be here today to go through the Learn session. I’ve been with Adobe a little over five years, and I work with customers to realize the value from their data to produce insights and visualizations. So in today’s session, it’s broken up into three parts. The first part I’m going to cover is how to get started, taking you into Analysis Workspace, and how to start and create a project. The second section, Prithvi is going to join us and go into how to analyze the data. The final section of the Learn track, I’m going to come back, and we’re going to go through how to put it all together into data and visualizations. After each section, we’re going to do a brief Q&A where you can ask questions about some of the points that we’ve covered in the section. Okay, so let’s go ahead and get into how to get started with your data. As we get started today, first, I’m going to take a look at some of the terminology that we utilize in Adobe Analytics so you can get used to some of the terms. Second, we’re going to learn the basics of Analysis Workspace. This is our user interface that you’ll use on a day-to-day basis to be able to look at your data and visualize it. And third, we’re going to go into the interface and actually tour some of the features that you’re able to leverage when creating projects. So first of all, it’s really important to understand the foundations of analytics. What is web analytics? It’s the process of being able to analyze and measure different events that happen across your website or your app. It allows you to measure visitor behavior and what they’re doing in each of those sessions. It could include things like how many times does somebody visit your page? What pages are they visiting? How long are they spending with your content? Some of the different types of activities that you can measure with web analytics include things like what are my users doing when they engage with my webpage or my app? How can I leverage the data to look at past marketing activities and how it’s impacted visitation to my site? How can I recommend better marketing strategies to be able to get more users to my site and app? How can I really drive conversions to get people to purchase or to sign up for a service? And how can I retain my users and keep them engaged and loyal to my page or my app? These are all really great examples of what web analytics can do for you and your organization and what Adobe Analytics can do as well. When it comes to terminology, there’s three different things that we often use in our day-to-day discussions. The first one is a metric. A metric is a quantitative term. It’s numeric, so it’s counting certain things like the number of page views or the number of purchases of a specific product. It allows you to see side by side how your metrics are performing across different products or services or even pages. And that brings me to the second term, dimensions. Dimensions are not numeric descriptions, but they are descriptive. So it allows you to categorize your data to understand exactly what you’re measuring with your metrics. So for example, you may want to see how many page views you’ve had coming from California versus Virginia, or you may want to see how many purchases product A has versus product B. This is a way for you to categorize your data into segments or dimensions. And then finally, the other third term that you’ll see used quite often is segments. Segments allow you to identify subsets of data and to be able to further filter and categorize your data to really understand specific set of audiences. This allows you to really understand how your data is performing and to be able to take that data and build really powerful audience segments to be able to retarget or personalize your content for those specific users. Some of the types of segments that we see customers most often use are new visitors to a page or a site. How many new visitors have I had this month versus last month? What impacted that change? Was there a new piece of content that was added? Was there a new page or section that was promoted? Analytics allows you to take all of those rich data points, be able to segment that data to understand what caused the impact of that site visitation. Now let’s talk a little bit about what analytics can provide. There’s three different pillars or sections when it comes to tools. The first one incorporates data collection. This is how you’re really able to take data that you’ve collected through things like a tag or an SDK to be able to measure the data and to be able to collect it and bring it into your visualization or reporting tools. The reporting tools is really what we’re going to focus on today, specifically analysis workspace. That’s our user interface that’s used by all of our customers to be able to visualize their data, but you don’t have to stop there. You can export your data as well. Adobe analytics provides different means to be able to export the data, whether you use our own report builder to access the data through Excel, or you can use things like data warehouse or our live stream data feeds. So as we talk further in this learn section, just remember we’re going to focus today on analysis workspace, our reporting visualization, because it’s important for you to learn this component to be able to actually action on the data and understand the data that you’re reviewing. Now let’s walk through how to log in for the first time to analysis workspace. The first thing you’re going to want to do is go to the experience cloud login page. You’ll use your Adobe ID to log in for the first time. Once here, you’re going to see a list of all of the products that are available to you to use within Adobe experience cloud. So for analytics, you’ll see the analytics icon. And once you click on that, it will take you to analysis workspace. Now what is analysis workspace? Analysis workspace is really an easy, flexible canvas for you to be able to visualize data. It’s extremely flexible in that you can drag and drop different data points, visualizations and panels to be able to create your ultimate project workspace. You can easily share and democratize that data through the interface itself, or you can share it through our now Adobe analytics dashboards available on your mobile app. So Adobe analytics data can be shared in various means. We want to make sure that it’s available to all of our customers teams so that they can democratize the data either to executives or to other teams they work with. It’s really built to provide advanced analysis and take your data collection and really visualize it into rich data sources for you to make decisions against. And one of the great things about Adobe analytics and analysis workspace is easily able to create segments to share bi-directionally to other Adobe experience cloud products. So if you want to share your Adobe analytics segments to something like Adobe target or Adobe audience manager, you can easily do that to be able to share and democratize your data and then action against it. So now when you go into analysis workspace for the first time, what I really want you to think about is it’s great to start out with reports. This is where you can take pre-built templates of reports to be able to see data and visualizations without having to lift a finger. All you have to do is select a report suite. Within reports, we have them pre-baked into different categories depending on what type of view you want to see. Once you get a little bit more advanced, that’s when you can go in and move into projects. That’s when you can create your own visualizations and dashboards to be able to share with other team members. Now one exciting feature to announce in this new learn session is that we actually have a new landing page for analysis workspace. So I want to cover today how to navigate around that new landing page because we want to have you go in and start utilizing it rather than using the old interface. So at the bottom of analysis workspace, you’ll see a little button that says beta and you’ll want to toggle it to on. And this way you’ll be able to see all of the visualizations that I’m sharing today and you’ll have much more capabilities built in to be able to organize and access your different reports and projects. So once you’re in the new landing page, one of the things that you’ll be able to do as well is you can adjust the language. So if you need to adjust the language to something besides English, we have different languages available for you to be able to leverage an analysis workspace as you can see here. Next on the left side of the navigation, you’ll be able to see three different types of selectable items. The first one is projects. Projects provides you with a full list of projects that have been shared to you or projects that you’ve been created. Typically it’s sorted by last modified, but you’re able to sort any way that you want. The second section here is reports. Reports are those templates that I mentioned earlier that allow you to see a list of reports that have been pulled over from our legacy reports and analytics. The final section is learning. This is a really great new section of analysis workspace that allows you to find different tutorials and videos that can help you to better understand analysis workspace. If you’re new to analysis workspace in Adobe analytics, I highly advise that you check out this section and navigate around to look at some of the training videos on how to get started. There’s a ton of different great capabilities within analysis workspace landing page, really to be able to help you to organize your data and your projects better. You can search for different projects with our search section. You can use filters to look at specific reports. Maybe you only want to look at your mobile projects or your video based projects. You can star or favorite a project. This is a great capability, especially if you have a lot of team members that create a lot of reports. If you want to dig through all that clutter and favorite a report so you can easily access it, it’s a great feature for you. You can also do other common things like delete a report or project, share a project to other users. You can rename and copy a project. All of these different types of capabilities are available within analysis workspace on the project’s level. The second section that I mentioned earlier is the report section. Those are where you can get to those pre-based templates. These are reports that were pulled over from our legacy reports and analytics section. There are most popular reports that customers have used to look at things like visitors, key metrics, site sections, campaigns, products, last touch attribution, and so much more. One thing you’ll want to do is when you log into analysis workspace one time, go into the report section and check out all the different types of reports that are available. These are the ones that are most important to you so that you can go in and visualize your data. All you have to do is select a report suite. We’ve done everything else for you. We built the tables and the visualizations, so it’ll just surface up your insights right for you. Okay. Now that we looked a little bit at projects and reports, let’s go into how to create a project. When you create a project for the first time, you’ll have the option to select whether you want to create a workspace project, which is within the web UI, or an audience dashboard, which is our mobile scorecard that’s available via a mobile app available on iOS and Android. So for this example, we’re going to create a workspace project right in the UI. You’ll click on the create a project, select workspace, then you’ll make sure you want to select the report suite that the data is filtering into. You may have different report suites. A lot of customers have a global report suite that they push all of their data to. So it just depends on what level of data that you want to look at. And then finally, to start your project, you can create a table with data to build off visualizations. So let’s talk a little bit about what a report suite is. A report suite is a segment of data. It’s fundamental to Adobe Analytics because it allows you to filter your data that you’ve collected into various segments. So some examples include a customer might want to look at a web report suite versus a mobile report suite where they’re sending all their mobile app data. Or they might want to look at different types of segmentation in terms of new visitors versus existing visitors. Or you could have a report suite that’s production based versus developer based. There’s different reasons and ways in which we segment report suites. It’s up to you how you want to segment the data. But just make sure when you’re creating your project that you have the correct report suite created. Now there’s a lot of different capabilities and flexibility in Analysis Workspace when you’re creating your project. There’s so many different options that you have that you can go in and optimize and create your dashboard. One of the really great things here is that we actually allow you to customize it pretty well. You can bring in your own branded logo. You can even bring in your own branded colors. We have a color palette that you can choose from with different colors. If you have a specific color that you want to use within your workspace reports so that it’s aligned with your organization and your business, you could do that. It just looks a little bit more professional and adds a little bit more possessed to your reports. So you have your project settings where you can start a new project. You can open one. You can save it or save it as a template. Then you have the middle section which goes into the settings of the project where you can go in and change those colors or you can add tags to your project. If you wanted to say, this is my mobile app tag. Then you rename or name your project. You want to make sure that it’s easily distinguishable and that you can find it and know exactly what you’re looking at. If you create a report suite for mobile users using product A, then you’ll want to name it accordingly so that you can easily find it and know what you’re looking at when you see the project name on the main dashboard. As you can see here, there’s a lot of different dropdown menus at the top of your analysis workspace project. I’ll go through these one by one, but I really encourage you to go in and take a look at all of the different capabilities that you have when you’re creating your project for the first time. So the project menu is the most common menu that’s used. This is where you can go in and name your project. You can save it. You can share it. You can download it. A lot of important capabilities live in the project menu at the beginning. There’s the edit menu where you can undo or redo certain things. You can clear all of your updates. You can revert back to the original. So that’s another important option available. And then the insert menu allows you to bring in different panels or visualizations. So if you wanted to bring in a free form table or if you wanted to bring in an attribution panel, this is where you can easily go up and add without having to go to the left hand menu. The components menu, this is where you’re able to create new metrics or dimensions or segments. You can create alerts, which is a great feature to be able to understand when you’ve hit a certain goal or target, or perhaps if you want to be alerted to certain issues or errors, you can set this up to be delivered via email or text. So you can see when something important is happening with your data. The share menu is also very important. This is where you can actually share the project link. You can share the report via PDF. You can download it or you can share it so that a team member can actually view it and see it when they log into their analysis workspace instance. And then the final menu option here is the help menu. And this is where you can go to ask questions and get links to helpful documentation or tutorials that can provide more information about analysis workspace. The next part of analysis workspace in the projects is the left side where you can actually minimize or maximize how big you want it to be in the left nav menu. So at the top, you’ll see an icon that’s for our panels. Panels allow you to visualize and drag in different types of visuals or not even visuals, but also just basic components of analysis workspace. You can apply different panels throughout, so you could actually even have different data views or report suites throughout one project. So a typical panel that you might see is the free form table or even our new quick insights panel, which is something that will go into more detail later. The second part of the left navigation is the visualization section. So this visualizations allows you to bring in over 20 different charts and graphs to be able to visualize your data. It’s a really great way to kind of make it more easily digestible for end users to look at your data and see trends or anomalies. And then the final icon on the page is the components icon. And this is where you’re able to go in and select the different types of metrics and dimensions that you want to use in your analysis workspace project. This is also where you can apply certain segments that you may want to filter your data against, or you can apply different date ranges. So these are all really important pieces of your analysis workspace project. So as you go in there for the first time, you’ll want to play around and kind of get a sense of what types of panels are available, all the visualizations that you can use, which we’re going to go through in more detail in section three. And of course, the components, which are probably the most important part, being able to pull in the data metrics and dimensions. So now let’s talk a little bit about selecting a panel. A panel is a page within a workspace project. You can have multiple pages or panels in a project, depending on how you want to organize it and segment your data. You may want one report suite for one panel and a different report suite for another. So let’s talk a little bit about the some of the different panels that are available within analysis workspace. The blank panel is your blank canvas. You can pull in different visualizations or tables. You also have a panel for analysis workspace for target, which allows you to bring in target activities to analyze within the workspace visualizations. It’s a great feature if you have both solutions. We have the attribution panel for you to look at your various models that you’re running data against. You can look at any dimension or conversion metric in the attribution section. The media concurrent viewers panel, that’s specific to our streaming media solution. So if you’re measuring any video or audio content, that’s what you can use to leverage and look at concurrent viewers or listeners that are listening to streaming content. Then we have the freeform panel. This is the most commonly used panel that we see. This allows you to bring in a freeform table for you to start building out rows and columns with different dimensions and metrics. From that, you can then build on it with visualizations. The quick insights panel is new, and it’s definitely a great panel for new users. It allows you to ask a simple business question. And then once you hit the return button, it returns visualizations and a table with the data of the question that you asked. So we’re going to go through that in a lot more detail in the future sections. But I really want to highlight quick insights because that’s something new that is really great for beginners. Okay, so let’s take a look at some of the different components that are available on the left hand navigation. This is where you can pull in things like dimensions and metrics and segments. So when it comes to dimensions, again, this is just the category or naming conventions. This is where you can pull in certain data by page name or product name or browser type. There’s lots of different dimensions that you can categorize your data. And then the metrics are those numeric components. So this is where you can measure things like page views or revenue associated to a specific product or unique visitors. Lots of different types of metrics that are available. You’ll build your projects with a lot of different types of metrics. So it’s important to understand what your key performance indicators are when you start your creating your projects. The third part here is segments. So segments is where you’re able to segment your data, filter it down into specific views. So if you want to look at certain things like mobile visitors or visitors that have made purchases last month versus this month, and then finally, you’re able to look at components like date ranges. So if you want to narrow it down to visitors from yesterday versus last month, one of the great capabilities of Analysis Workspaces, it makes it really easy for you to do time based comparisons looking at today compared to yesterday or other custom date ranges to really understand growth or hitting certain goals. And finally, the other part of the left hand navigation is the visualizations. So don’t get too overwhelmed here, but there’s a little over 20 different visualizations available for you to leverage in Analysis Workspace. If you hover over the icons, it will explain how each visualization can help you visualize your data, what the main goal of the visualization is. There’s a lot of basic visualizations here, such as your bar graphs, your pie graphs, we even have certain things like your scatter graphs or maps. So a lot of different rich visualizations here to help you really understand your data and visualize it into a rich project to share. So finally, we want to talk a little bit about training tutorials and tips. There’s a lot of different things within Analysis Workspace that allow you to leverage different trainings and tutorials. There’s a new section on the main dashboard where you can get to your project’s reports. And at the end there, there’s a learning section. Definitely go to the learning section for you to be able to take advantage of certain things like our training tutorial. The training tutorial gives you a virtual step by step into a project to be able to see how to leverage Analysis Workspace projects and how to start building projects out. We also have links to a lot of helpful training videos. We have hundreds of videos on YouTube that help you understand how to use Analysis Workspace, as well as some of the different features available on Analysis Workspace. Within Analysis Workspace, you’ll also see our new tips and tricks section at the bottom. So you’ll see a little blue box that says new analytics features. We update this regularly with new features that are released into the product. So definitely keep an eye out for it so that you can open it and see what’s new. A lot of times we’ll also post the link to the YouTube video so you can go there and see it live in action. But this will show you all of the latest and greatest features that you can leverage within Analysis Workspace. And then finally, I encourage you to try out the training tutorial template. So when you go into the report section, it’s the first project or report that’s listed at the top. It will allow you to see how to build out an Analysis Workspace project. It’ll teach you all of the different sections of how to create one, what metrics are, how to segment the data. It’s a really great resource to be able to leverage, especially if you’re building a project for the first time, because it walks you through how to do it. So here you can see how to launch the training tutorial template from the report section. You can open this report and you can access any report suite. So it is your data. So if you want to have a starter project already built out for you, you can launch this training tutorial and be able to adjust it to your needs by building it on the report suite with the data that you need. Here’s an example and screenshot of what it looks like within the training tutorial. As I mentioned, it really goes through step by step on how to build out your project and what you’re looking at with your data. It’s a really helpful tool, so I encourage you to use it. Okay, everyone, let’s go ahead and take a look at the user interface at Analysis Workspace. So once you log in for the first time to Analysis Workspace, you may see a view like this. What’s really helpful is that you have this section right here where you can easily go to create a project or to look at tutorials. It’s just one click away. Like I mentioned before, you also have the three tabs over in the left navigation, one for projects, one for reports, and this is where you can get to all those easy templated reports that are prebaked for you with visualizations and data. Then there’s the learning section. This is where you can go to check out all of those tutorials that I was talking about, even a step by step training guide. So now let’s go back to the project section. As you can see here, you have those items available where you can go to look at tutorials or the training video. You can also minimize this to show less. I have three different projects that have been shared to me that I’ve created. You can also search for different projects by name in this search box here. So I’m going to go ahead and instead of opening a project, I’m going to create a project from scratch. So once you click on the blue button, it gives you the option to either create a workspace project, which is web-based, or you can create the mobile scorecard. That’s a little bit more advanced, so I’m going to focus on the workspace project. Once you log into a project for the first time, it’s a blank canvas. This is your opportunity to build out the project of your dreams, to create visualizations that can really tell a story with your data. And don’t forget here, you want to make sure you have the correct report suite. So select from the dropdown the report suite that you want and make sure it’s entered when you create your report. Next, to get started, all you have to do is drag over a dimension to your freeform table. Here I’ve selected page. And then you can select a metric to see actual data. So I’m going to pull over unique visitors, and I’m going to replace that over occurrences. Now I can see a table of data based off my page visitation and how many unique visitors have visited the page. Don’t forget, before you close out, you want to make sure that you name your project so that it’s not just new project. Now you have a project shared with an easy table and you can share it out to your team. So this is Analysis Workspace. Now we’re going to go into a brief Q&A session, and then we’ll get into more details about how to create projects and visualizations. Thank you, Daniel. Welcome, Gaurav. Hi, Richa. Thanks, and hi, everybody. I’m very glad to be here. Super. So let’s get started. I see a few questions in our Q&A box. We have the first one from Niharika. She says, is there a way we can send data to analytics from Java? Is there a REST API by which we could send this data? Awesome. That’s a great question. And I just wanted to clarify that one of the key differentiating features in Adobe Analytics is that capability to get data in and data out. So when you talk about getting data in, there are various mechanisms you can get data in. And of course, REST API is one of the ways to do that. And if you go to the documentation, you could possibly check at this point in time at developer.adobe.com, where there is a list of APIs that we provide in terms of what you can do in terms of not just data pushing in, but data updating the data, correcting the data. So there is something called as data insertion APIs. And these APIs enable you to have a get or post request. And you could possibly send data directly to Adobe Analytics servers, and you should be able to update data through the servers directly. So yes, there is a great flexibility. There is a documentation that I talked about. And there are multiple use cases where customers actually prefer to have API-based integrations and talk to Adobe servers directly in terms of pushing data, and of course, for getting data out. Super. Niharika, I hope that answers your question. We have the next one from James. He asks if there’s a plan to do Adobe Analytics API technical sessions and any good implementation examples that you could share with them? Yeah. Great question again. And I’m very glad to see a lot of interest on the API part. And that really sort of solidifies our understanding and value proposition in terms of how open ecosystem Adobe Analytics is. So yes, there are a lot of resources. Maybe not in this session today, we are covering a lot on API technicalities. But as I said, there is documentation, but there is also a whole lot of use cases in terms of what you can use APIs for. And there are, as you rightly asked, James, there are many, many use cases where customers use it. For example, there is an API called Livestream API that really gives you the direct real-time feed of Adobe Analytics data. And all of this data can fall into your data lake for all kinds of enrichments that you can possibly think of. There is another way of looking at getting data through APIs from a technical workflow perspective is also to get offline data. So you can also get offline data to complement to your online data. And that could be a possibly very sort of important use case wherein customers are looking to stitch attributes to a digital behavior. So you can do that. And across industries, whether you’re talking about financial industries, whether you’re talking about retail, there are an umpteen number of use cases wherein you would like to interact with APIs. You will want to get data in, aggregate the data to further build the profile of the customers. Whether it is versus online, offline, whether it is about your requirement to get a real-time feed of the information. Enrich your data lake, solidify your unified profile, and then decide on what is the next strategy in terms of whether you want to go deeper into the insights or you have an action that you’re planning. So yeah, there are multiple resources. There would be some upcoming sessions on API technical knowledge, and we will appraise you of that. Thanks Gaurav. I see some lovely questions coming in. Rashmi here wants to know, in the world of mixed cloud providers, how do you get data from multi-cloud environment? Sure. Again, that’s again a very good question. And also it is where the future is. So yeah, as I said earlier, right, Adobe and not just Adobe Analytics, but across the products, Adobe is really an open ecosystem in terms of when you talk about data in and out. And that holds true for multi-cloud environments as well. So we have flexibility in terms of talking to the other cloud tenants and get the data in through either APIs, batch uploads, whether you’re talking about, and there are certain integrations that we also have in terms of, say, what we call source connectors. And of course, as you progress through the maturity of these use cases, in terms of what kind of data, what sources of data do you need to get in, there could be possibly a use case to consider other solutions as well. For example, our CDP, right, that really takes into account in terms of interacting with your internal infrastructure that could be on a different cloud, and then applications that are sitting on different cloud, and possibility to have those data pipelines created across these multiple clouds. So all of that is a possibility in the spectrum of what we are thinking from a use case for Adobe Analytics. As I said, there is an open pipe which can help you to bring data in, and that doesn’t really constrain you in terms of the cloud sort of architecture that you’re talking about. There is more to this, and there is documentation if you could just go and talk about Adobe Analytics implementation and utilization across multiple clouds in your architecture. You might be able to get some answers right out there. But the short answer is, yes, we are ready for this. There could be possibility to consider a few other products that really harden that strategy if you’re thinking about multi-cloud. Great. Vikas wants to know if it’s possible to customize report templates as per our need. Yeah, very simple and important question. Absolutely, yes. So if you looked at the last session, that is Daniel’s session that is about Analysis Workspace, this product is completely designed for democratizing data. What it really means is that how easy you could actually make for a user to not just to start using the product, but also getting insights customizing in terms of what you could do from a dashboarding perspective. So there are templates in the product. So when you go to Analysis Workspace, you would have templates. You could pick those templates, have a really early or a fast start on those. But then you can start building very customized reports. So there are tons of visualization templates. There are visualization tools. You could build your, for example, map visualization. You could build your funnel visualization. You can absolutely customize it. It’s really a very, very freeform, what we call as a freeform analytics. So it’s customizable to the level that you could think of.

On Marketo, Gayatri is asking, can Marketo email performance reports be integrated with analytics? Yes, great question. Very simple, straightforward answer. Yes, there is an integration that exists. So if you’re not utilizing that integration today in terms of how Marketo integrates with Adobe Analytics and can you get that data back in terms of connecting your journey from leads to conversion, please reach out to your customer success managers or the support contact at Adobe and you should be able to provision those. But there is an integration that exists between Marketo and analytics. Great. We’ve got Mike asking, I’d love to share live table to my team via SharePoint. Google, I use Google Data Studio to generate an embed code to do this. Is there a way to do this in Adobe? Yeah, so that’s a bit of a tricky question here. But there is some flexibility in terms of, you know, you should be able to, so when you look at the reporting in Adobe Analytics, for example, you should be able to get, you know, sort of an export for the report so that you could actually be able to embed it into a UI that you are looking at. But also there are multiple features in terms of how you can share the reporting. And one of that is also, you know, URL based. So you could actually, you know, look at a URL that can give you access to Adobe Analytics reporting, but also have flexibility to programmatically sort of call some of the reporting and numbers that you would like to see in a different application. There is a flexibility there that you can use in terms of, well, not literally a parallel in terms of what you could do in Data Studio. But yes, you could programmatically look at Adobe numbers in an application that you would wish for. Thanks, Gaurav. Quite a few questions here. Thank you, everyone. Keep them coming. I think some really good insights being shared here. Sanjeev wants to know if there is an easy way to add auto-generated data series to an existing table. Sorry, could you repeat that question for me, Reecha? Is there an easy way to add an auto-generated data series to an existing table? Yeah, so, you know, the way it works in Adobe Analytics is that, you know, all the data that you have collected, you know, from a digital behavior perspective, and you have once pulled, say, for example, a dimension into a reporting or a KPI or a metric into the reporting or event level data into the reporting, you know, it refers to that particular data source in terms of where analytics is reading the data from. And then, of course, as and when you have more and more data collected. So, for example, if you have a new data field that comes into that data source, then automatically the whatever visualization that you have would read that data series and then augment your reporting in terms of whether it is, if your reports or insights grow by rows or column, but it should be automatically able to read any changes on a data source that happens. Super. Um, Francesca wants to know, to track a form submission, can we use fallout? And following that, asks to check number of visitors, view page and number of visitors convert or submit? I’m sorry, was that clear? Yeah, yeah, yeah, no, that’s a good question. And it’s a very, very, I would say, you know, common use case in financial industries, but it applies to many other industries as well. Absolutely. With Adobe Analytics, you could track every single thing that you can think from a form perspective. So, you could think, you know, right from an acquisition journey. So, think where people are coming to your form from. And then from there on, you could really get into each and every field and steps. So, step one of form, step two of form, go all the way till, as you rightly said, fallout or funnel and really design that funnel in terms of multiple steps, define your conversion. And then you could, of course, and not just analyze all of that journey, but also based on what people do into that fallout, you could also create segments. For example, if somebody drops from form step two, you should be able to create a segment of that user so that you should be able to act on that segment, either in terms of some sort of retargeting or, you know, personalizing your experience on the site. But yeah, form optimization, as we call it, in terms of application steps and so on and so forth, is a very, very common use case that Adobe Analytics can help you with. Kalen asks, we utilize audiences in Adobe Analytics to segment our data. Is it possible to pull data from Adobe Target to understand which activity or campaign is using which audience? Sure, that’s again a very, very good question and I love answering this question because we have recently built a lot of capabilities in this. So yes, Adobe Analytics is of course source of your data in terms of collection, reporting, getting insights. Adobe Target has its own reporting capability and reporting feature that might look a bit limited and that is where the integration between analytics and target comes into picture. So we have an integration what we call A4T, Analytics for Target. What it really means is that everything you do from your target activities perspective, that data is integrated into analytics. You can go into analytics and you can report into every single thing and further deep dive in terms of bringing more dimensions, more flavor to that analysis, really going into details of every single activities or test if you are running so. So this Analytics for Target integration is something that’s sort of game changing in terms of how you look at performance from Adobe Target. Okay, last couple of minutes left. Where can I go again to learn more about Analysis Workspace? Yeah, so again I love answering this question because this is one of our core strength areas in terms of what we provide for enablement and learning and there are tons of resources, right? Adobe Analytics is a huge community. Other than that, we consciously create a lot of resources. A lot of learning resources for Adobe are actually public resources and one of them is Experience League. So if you go to experienceleague.adobe.com, you should be able to look at multiple on-demand courses. You just need to create an ID. You should be able to align to a learning path and get into the details in terms of Analysis Workspace, for example. We have a great YouTube channel where we have more than 400 videos where you can learn from Adobe Analytics Workspace and of course I recommend being active into Adobe communities online. So there you get a lot of hands-on experience from experts and practitioners, not just from Adobe but from our customers who are actually using it. So I mean, just type in Analysis Workspace in Google and you’ll see tons of resources popping out there. Thank you, Gaurav. I was hoping that we talk about Experience League. It’s a great resource for anyone who hasn’t registered. Please do go and register yourselves. Great place to get started. Lots of relevant, pertinent content on every topic you can think of. So thank you for that. Thanks, Gaurav. I think we are at the end of this segment. We’ll see you back here at the end of Chapter 2. Sure. Thanks, Richa. Glad to be back.