 Hi everyone, this is Gauravi and I work with the Partner Ecosystem team at Red Hat. I am so excited and glad to be a part of DevCon and connect with you all today. As I mentioned, I work for Partner Ecosystem where we care a lot about our partners because they are important for our services. It's equally important for us to reach out to new partners while we nurture the existing ones and to fill the gap between us and the partners in an efficient marketing efforts. It's crucial to be able to cater the needs of these business partners and customers by understanding what exactly they want so that the customer's experience can be provided to them by having the right marketing efforts placed in the right place at the right time. As we all know today, most of the marketing efforts are to reach and pull the customers through some kind of web platforms such as websites, blogs, social media, emails or online campaigns. It's important to know how these marketing efforts are channelized and how partners are responding to these efforts. With the right channel and marketing analytics, there lies an opportunity to deliver a great experience by connecting with partners or customers in a better way. One of the very such opportunities is to have an ability to see the data in real time to understand the customers on a whole new level by integrating web data. As the analytics is at the heart of enterprise decision making, let's have a look at how Adobe Analytics works for applying real time analytics and detail segmentation across all of your marketing channels. Hopefully you would be able to take home the basic understanding of Adobe Analytics, its features and capabilities after this talk. Also, as you would all know how to use the product, you would be able to start exploring further on your own. So to begin with, the very first question might pop up as what is web data or why web data for especially those who do not work with the data directly? So web data is any data collected from web platforms or media such as how many people are visiting your websites, what content they are looking at or from where they are visiting and so on. Now why web data? Let's say you have a shop or a store and you would be able to know how many customers you have each day. What are the most selling items? If there is any specific time of the day or we expect more crowd at your store. But what if you have a website which has a bunch of web pages? Then how do you know how many people are visiting your website? What content pulls more visitors and if most of the visitors are from any specific part of the world and so on. To answer all these questions, we need web analytics and shortly we will see how Adobe Analytics helps with this challenge. But before we begin with the demo, I'll let you enjoy a short video which shows how the web analytics is at the heart of the business decision and it's one of the crucial factors in making business decisions. So in a quick moment, let me share my screen and there you go. Come take a look at this. They keep getting bigger and bigger, clicks are on the short side. Hope you enjoyed that. Now let's see how Adobe Analytics actually works. So this is a new project which we are going to start with. And on the left side, we can see three important options. Number one panels, number two visualizations and number three components. So the panels are collection of visualizations from any visualization from this list under the visualization tab and then comes the components which were divided into different parts such as dimensions, which is a variable or the list of variables in the form of string. Then comes the metrics, which could be a quantitative information about the dimensions and then the segments, which could be treated as a filter. And then comes the date range, which is simply a collection of different date range previously defined. This is a panel which you could see and you can create a new panel from here. When we create a new panel, we already have a few visualizations to select from, but if you want some more, then we can go to the visualizations and then just add the visualizations from here. Right now, we already have one panel with us and we already have selected the free form table. So let's begin with that. Before that, let's name our project, name the report also. So from components, we are going to drag dimensions, metrics and segments, also the date ranges. So let's see if you want to see how many pages across all the red hats are available and the visits and visitors for those pages. So we'll simply start by dragging the dimension page name into the left side of the panel or the report. Remember that the dimensions would always go on to the left side and the metrics would go to the right side. We already have occurrence as a default metrics over there, which we are going to replace with the visits because we want to see the visits and we also want to see the unique visitors. So we're going to add the unique visitors also. So basically visits are the visit is a sequence of page views in one sitting or one session while unique visitors are the unique number of visitors we have for that site. So we could see that there are a number of pages we have and how many visits and unique visitors we have for the given page. From here, we can select how many rows we want to see from the available ones. So let's choose five and then we can also sort ascending or descending based on the requirement. We could also see the trend of the data and it seems that this data is for August 1st to August 30th. We can change the date range from here or we can simply use one of the predefined date ranges from here. Like let's say last 30 days. And then the data would the rate range would apply to this table and the numbers would change accordingly. Yeah, like that. Also, we could add different segments over here. For example, right now I have no filters or no segments. So I have all the pages here across Red Hat. And let's say if I want to see only the pages which are connected to related to partner connect. Then we are going to use one of the predefined filter or segment. We are just going to drop it here. And please notice that the pages and the number would change accordingly. Here we can see all the pages which start with RH or RHC. And once we have the segment added, the numbers would change because the pages would also change. Yeah, there we go. Now we have all the pages only connected to Red Hat partner connect and we have the numbers accordingly. We can also add a text card over here. Sometimes it's very important if you want to set some information for your audience or the team we are representing the dashboard to this node section can be used to fill in any information which you think would be helpful to know. I have some information already. So I'll just paste it over here. So basically this acts as a mini text reader in your program or in your report. Yeah, there we go. We can also add the summary number. So from visualizations, I'm going to drag this and I want to let's say have unique visitors. So this is unique visitor. I'm going to lock my selection because I don't want to change it whenever I go over and I'll just rename it as unique visitors for the last 30 days. We already have a free form table and let's say we want to create a visualization based off that. So I'll select the data. Right click. Go to the visualization and I'm actually interested in seeing the trend. So I would go for the line chart. Yeah. Now it shows the trend for these pages for visits and unique visitors for last 30 days. It seems that on August 7, we have less visits than August 14. We have less visits. August 21. We have less visits and so on. So it seems that during weekends, we generally have less visits and visitors. And it makes sense also because people do not work during weekends in most of the time. So that's how we can see the trends and anomalies if there are any. Right now we do not have any anomalies detected. Also, as you change or as you select, change your selection on the free form table, the graph would change accordingly. But if you don't want it to change, you can just go here, this little button and you can lock your selection and then the data won't change. You can also hide the free form table. If you want, but for now, let's keep it. If you, no matter what, what parameter you select, the graph won't change. The graph number and all the details will definitely change if you change, make any changes to the segment and filter over here. Let's say from last 30 days we go for last month, the numbers table and the visualization is going to update accordingly. So that's how we can see the trends and anomalies table and the visualization is going to update accordingly. Yeah. There we go. Now let's say if you want to see how many, what are the countries and how many visits were coming from each of those countries. You're just going to retrace the page name with the country. Yeah. And now we can see different countries. We have total 158 countries, but we selected to see only five rows. That's why we could see five countries over here. So we could see that these top five countries and their visits and unique visitors. And we can also break it down further if you want to see how many pages or what are the actual pages are being viewed in each of those countries. We are just going to select them. Right click and break it down by the page name. There we go. Now we can see that within the United States we have 475 pages. Currently we have listed only five pages and see which are the top five pages based on the visits we have or based on the unique visitors we may have. So accordingly we can make. I already have a full report created over here. Since because of time constraint, I cannot show everything. And this is the report we can create. I have added one another segment over here, a couple of more text card and summary card. Here I have listed the web pages and their web URLs. I have just break it down the same way we did it for the country. We can also create different charts based on the requirements or based on how we like it to have. So here is the countries. Here is the countries table. The same thing which we performed. We could also see the different campaigns and what are the pages visited most through each of the campaigns. We could also see the popular pages and the time spent on those pages by the visitors. We can also look at the download activities for each of the page. And accordingly we can also see the different platforms from where users are navigating to red light pages such as if they are using any kind of search engines or if they are using any external websites or social media platforms. We can also further break it down which social media platforms people are using or which are the external websites people are using or what are the search engines people are using. Apart from that we can also develop a traffic flow diagram to see how users are actually navigating from different pages. So from these interpages people are visiting these pages and from these pages then they are going to different pages. So we could actually track their navigation activity to some extent. We could also see how many people are exiting after visiting the first page or after visiting the second page. So this is just a glimpse. We could do much more with that. But I hope you enjoy this talk and the session was insightful for you. So with this I would open it up for any questions you may have for me. And thank you.