Name: Software Monetization Office Hours: Exploring the New Analytics Experience in FlexNet Operations
Uploaded: 2026-04-21T16:32:05.610Z
Duration: 48 min 24 s
Description: Software Monetization Office Hours: Exploring the New Analytics Experience in FlexNet Operations

Transcript for "Software Monetization Office Hours: Exploring the New Analytics Experience in FlexNet Operations": So welcome again to everyone. This, software monetization office hours, we'll actually be going over the new analytics platform in FlexNet operations. I know that some folks have may or may not have seen some of the the features or have tested this out. We do hope you've tested this out, but this is a great opportunity for you guys to ask those questions that you may have had before, and Ashish and Anuradha will be able to, discuss those as they've as they do the the walk through. So with that said, why don't I go ahead and invite, Ashish, our, Ashish Chand, our senior technical product manager. Welcome, Ashish. First time speaker, long time follower. Thanks. Yes. I hope so. Yep. Awesome. Alright. Well, I'll leave, the folks in your your great hands, and I'll, jump off stage. Thanks, Christine. Hey, everyone. I'm Ashish, and I'll be joined shortly, by Anuradha. And we are here today to explore the new analytics platform within FNO. Today, we'd like to introduce a new and updated FNO analytics platform to the audience. And before that, briefly talk about the why and how we have done it. We start by examining what has driven us and why monetization analytics matters now more than ever. Next, we'll cover our analytics framework and the different maturity stages from descriptive to cognitive analytics. Then we'll dive into the data requirements and our product road map through 2027. Finally, we'll wrap up with a live demo showcasing real platform capabilities and sample use cases that illustrate how these insights drive tangible business outcomes. Let's move on to the next one. So, before starting, let's ask ourselves, what exactly is monetization analytics? Now within the usual steps of revenue life cycle, which consists of quote and deal, contract and terms, billing, and finally renewal, our products sit at crucial stages to augment the customer's business processes. In the initial steps, people would be interacting perhaps with, CRM and and CPQ systems, while later, systems, might be used to manage financials. In between these sits our licensing and entitlement management platform, which also helps you track usage of your software, and that's where monetization analytics lives. It is data which provides a comprehensive analysis of your entitlement data, fulfillment trends, and usage patterns. It gives you a complete picture of how customers consume your products, which is essential for making informed decisions about pricing, packaging, and customer engagement strategies across the entire revenue life cycle. And this monetization analytics has become a necessity in today's world. Businesses are increasingly moving towards a model, which provides recurring revenue. The shift to subscription models is accelerating at almost 18% CAGR, and, would account for 80% of total software revenue by the 2026, making visibility into customer behavior very critical. To make such a move, a proactive approach towards data analysis is required. A centralized enter entitlement system gives you a true three three sixty degree view of every customer across all your products, deployment models, and monetization strategies. But data alone isn't enough. You need actionable insights, and these insights support renewals and retention by flagging at risk accounts early. They reveal upsell opportunities by identifying usage patterns that suggest customers need more. They enable customer success teams to align with align price with value, creating predictability for both supplier revenue and customer costs. Without visibility into such in insights, you are essentially flying blind in a subscription economy. And I keep talking about insights, and they mean they may mean very different things to various people, in their roles within your organizations. Sales engineers would need to track feature adoption to understand what customers use. Product managers, might monitor usage reports to guide road map decisions. Customer success managers, need to identify churn risks and monitor customer health scores. Renewal's team, need to predict upsell opportun opportunities and catch denial patterns early. Each persona has distinct objectives and approaches, but they all depend on the same underlying usage and entitlement data. This has been the key driver for modernizing our analytics platform. To serve all these personas with tailored views, dashboards, and actionable data specific to their needs. Data, and by extension, analytics has evolved in many ways over time, especially since the start of this decade. Any analytics platform maturity evolves through four stages typically, descriptive analytics, which consists of reports and dashboards that tells you what has happened. Next is diagnostic analytics, where a platform or product helps you understand why it happened through deeper data exploration. Our monetization analytics platform has gone past these stages, and is now entering the next, which is predictive and prescriptive analytics. This is where data can help forecast trends, assist in predicting customer churn, and recommend actions like upsells or license upgrades. Finally, our road map, as we'll shortly see, will soon take us into cognitive analytics, which brings AI into the picture with natural language processing and agentic capabilities that work alongside humans in decision making. Now our analytics framework has a multichannel model of delivering your data and insights. Underpinning the delivery channels is our data warehouse, which is hosted on Snowflake data cloud, which is described over here on the left. Our custom made data views in Snowflake created for each important data entity power these robust delivery channels. The first access path is Snowflake direct sharing, which is available for any customer who has an existing Snowflake account, for their organization. Next is a lightweight but powerful set of APIs called data access APIs. These rest APIs allow for programmatic access to the data warehouse, and customers can directly plug these APIs in their own BI tools and start exploring their data. More relevant to today's discussion is our built in analytics platform, within FlexNet operations. The new and updated platform, provides out of the box reports, dashboard trends, and insights on each of the data entities mentioned in the data views. Not only that, it now also supports creation of customized reports and dashboards, which can be bookmarked, downloaded, or scheduled to be sent periodically. This is the platform whose latest capabilities we would be demonstrating today. And finally, we are also very excited to announce, our upcoming and latest channel, an MCP server built as per industry AI standards, which would allow customers to connect their own in house AI agents to a data warehouse. This would open up a world of opportunities, in business data analytics as customers would now be able to bring in data from several disconnected systems, such as CRM, entitlement management, and ERP, and drive context and decisions just by prompting an agent. Currently, this functionality is available only in UAT. And let us have a look at the road map to understand what capabilities, are coming to the platform over the next year or so. Like I said, these are, actually quite exciting times for our data analytics team, and we have some interesting product increments lined up for the next year or so. Over the past year, we focus more on general improvements, of the data and the visuals, which were on the legacy platform. This year in q one, we decommissioned the legacy platform, and we launched the revamped platform, which has the self serve capabilities along with existing capabilities, such as notifications and dashboard download and subscriptions. Next, we aim to deliver the the MCB server as, generally available in production by quarter two of this year, and this would be our first of many steps towards introducing AI capabilities in the platform. This evolves, these these capabilities evolve through the introduction of an NLP interface. And by next year, we hope to have an automated predictions, and recommendations too. Besides the AI initiatives, later this year, we are also planning to deliver an analytics platform in the FlexNet operations end user portal, which would allow the customer's customer to view and interact with their entitlement licensing data. And now let's move on to the most exciting part, a live demonstration of our platform capabilities. We'll walk through several real world use cases and show how these analytics work in practice. You'll see how the dashboard presents data in an intuitive, actionable format, how notifications get, triggered on defined conditions, and finally, how different personas can extract the specific insights or value that they need from the data. I'll stop sharing here, and I would also invite Anuragha to kindly join me on stage. Hello, everyone. Thank you, Anuragha, for joining. Anurag, while I bring up a test environment, to share with the audience, I I would like to ask you a question. Since you've been here for a while and, you know, you've, you you lead the data analytics team, which has implemented the the updated platform, what sort of use cases or scenarios have been presented to you, as something which customer success teams would probably need. Yeah. Thanks for the question, Ashish. So, generally, customer success team or customer value team, tries to understand what is the health of this particular account. They actually calculate this based on various factors. But one of the key factor here is what's the adoption trend. So you sell. a software to a customer, but that doesn't stop there. Right? You have to continue your journey. Mhmm. From there on, it begins, actually. So you key you should be keep tracking on how they adapt this product and. what is their usage. model, how they continue to use, what is their adoption trend. So that is one thing which is, key for any customer success. Just not, Okay. the selling part is done, but now on, it's your responsibility to keep that, customer health check green. So that that. is one of the important bit, which I would say. And, that is where, yeah, Mhmm. the dashboard that you just bought up, right, adds a lot of value. Mhmm. Mhmm. So, one of the dashboard depicts you how your product performs right after adaption. So the the. one that you are showing here is, really generic for a particular producer, software seller, where, Mhmm. anybody can get a view on how your products. are doing. The second graph here, right, which actually. This one? about Okay. yeah. The second graph there, it. talks. about fulfillment versus the, entitled, product, how it. is performing against what is being sold against what has been. really, adapted. So. this might be a testament where you see almost. all are, just been sold, and the adoption rate. is low. But if you look at. the actual data, right, you would see the difference between the blue and the orange bars there. Mhmm. That. will indicate you the adoption. if I try and make sense of it, Anuradha, what I'm probably seeing over here is, as I, understood from your explanation, is the blue bar is the number of licenses that, someone would have purchased, Mhmm. and whereas the yellow bar, tells me of those licenses, how many have actually been activated. So Really that's where the the remaining copies. Like, oh, indirectly, sorry. it talks about what has been. lower bad. that bar, adaption rate is. high. That's what you can really consider there. Yes. Okay. You're right. Alright. So, and, yes, so that exactly would I I would say would solve or give insight to customer success teams to understand what products, which are there on the x axis, are not being adopted enough and therefore need to be looked into to understand, what's going wrong here. And, just for the benefit of the audience, what I did here was that there there's a focus mode available on the on the visual, which expands it, and I went into the focus mode because I wanted to have a look, a closer look at the graph. And if I want to specifically go down to the detail of the visual and the the data underneath, I can actually right click and say the I I I'll do it again. So the bar, and you can right click. further can go drill through. here. Yes. And it'll show you the underlying data, which is driving the visual here. And there it is. So it shows, what's the entitlement ID, what's the expiration, what's the product name. All of those details are here, and you can also identify what account this, pertains to. And the columns could be selected from here. I could, add any column that I want, probably account ID, maybe the username, something like that. All of those could be added, and they would be immediately, added here to the right. Yeah. Be because you talked about, CSMs, right, particularly. the customer success team, they would. really focus on few accounts. They really own few accounts, not that everyone would get that. So to actually give more flexibility to the customer success who really visualize, who log in and want to know only. specifics about their. account, you have a filter in the. right panel, Ashish, where, Okay. you can expand. that and, you you can. filter it down with your accounts. And you will see the data. specific to your accounts where. you can probably I could do is I could I enter account, and here here I have end customer account name. mhmm. And, I could select whichever accounts are relevant to me, and. the data would automatically be, changed as per my need. I I mean, these these visuals would automatically be updated. Since this is test data, I'm not sure what really happened. But, for the sake of just checking, let's maybe select a few here, and see what comes up. Yep. While you're. drilling through some of the accounts, I would also want to highlight this view is helpful even for product management because you will really able to understand in one glance at what glance that what exact how exactly your product is, Mhmm. adapted in the market. Right? So you you can build a strategy around most popular product against, most less received product in the market. You. may even plan to. deprecate certain things. You may even plan to repackage it in certain ways so that you can push for more adaption. So these are all some of the. strategic decisions that a customer or a product management can take from this insights. Okay. Okay. And, Rhonda, that that all sounds very exciting. And I think, one thing that the, the customer success teams might need to know is that, they would want an alert. They would want to be, made aware when, the the examples that we're seeing in front of us are of, products which are underutilized. But I believe there would be a need where, certain customers or certain, entitlements might be, reaching a threshold of the licenses which are there within the entitlement, and might, be let's say, at a threshold of 95% of the total entitlement, whatever licenses they have used of of of their what they've ordered, Mhmm. 95% of them are already used. So probably, we could have a way of, even alerting the the CSMs or certain individuals within the organizations that, when the utilize utilization goes beyond a certain number, please, send out an alert. So what could we do in such an instance? Could we utilize for that? Yes. Definitely. The this was available in the, it is available in the analytics. Right? This is something it was available earlier also. Mhmm. And even now, but, with the little advanced way where you can create your own derived metrics and configure it because you want. to. know what percentage rate you're talking about percentage here. So you can. really add a metric to it, which gives you that percentage and introduce a conditional notification or the alert when this crosses certain limit. Mhmm. Maybe. Mhmm. you can have this, percentage, fulfillment metric defined, and you can define a conditional notification alert stating that if something goes beyond 90%, trigger me an email. Do. this every day. and send me all the entitlement or the line item list with the account information. Mhmm. for which. this, threshold. has crossed. That you can. configure, in fact. Okay. And the the reason why I asked this question was because I've request which came up from the field, a few days back of a similar request. And now that I think about it, that request and what you've just described, is very similar to, you know, the from the vantage point of customer success teams that, yes, they they would be very interested, in knowing how much utilization, a a specific account or a specific entitlement, is doing. So, at that time, I had actually set up a test notification at my end, and I think I'll take with the audience. And please help me out, because I, got some assistance from engineering to set this up as well. So I navigated to here from conditional notifications, over here in the menu bar. And over here, we have, two types of notifications. So one is schedule notifications, which alerts, users when there is a change in the data of when certain conditions are met, and new data, which is triggered when a new row has been inserted as per the conditions defined. So I, over here, the fulfillment over 95%, was the problem statement, that was posed, and I have selected schedule notification. So this was, starting on the April 16, and I want this to go on for another month or so. And, at every on every day at twelve UTC, I want to be, notified about, any licenses which have been utilized, beyond 95%. So this is the scheduling that I've done. This can also be by minute or day or week. This is very configurable. You can have your time also configured. You can end, on certain dates if needed, and you can also just do it once if needed. Once you have selected your notification type and your schedule, you have to, define what is your metric, as in what is it that you want to check? What field, or what derivation of a field do you want for your, notification to check, so as to determine whether a notification has to be sent out or not. So since percentage, as you mentioned, Anuragha, is not, a field which is natively available in the warehouse or in the platform. I've actually gone ahead and created a derived field, and it's a simple formula that I have put in, as you can see on my screen. I'll just zoom in. So it takes in the the remaining copies, on an entitlement, and then divides it by the seat count, which was the initial number of licenses that were ordered, and just converts it into a percentage of the consumption. And in the metric, I've called it a consume license percentage, and I want to be aware of the the number of such entitlements, where this has happened. And even though I haven't said anything like that, I might go ahead and say, I want to do it for a customer whose name is, Acme Corporation. So I would be I would be notified only when Acme Corporation's entitlements fulfill, the criteria. Once my metrics, are done, I would have to also select, a trigger. So the metric that I used was remaining license percentage, which I defined as a formula, and I've said this as that whenever it is greater than and equal to 95, I should be, notified. And, could you just help me explain the the time filter over here? So Yeah. Sure, Ashish. These time filters are selected because mhmm. you would actually refrain this to run for the entire whole data again once you received. a condition notification. Mhmm. For example, I can. take, every day you want to receive this notification. Today, as you said, right, you also specify, some buffer rate. Okay. That that is something. 1.5 x of whatever. That it takes count from Okay. whatever duration you have selected, in the previous screens. So it it goes beyond for a day, checks if there are any data. In its first run, it checks if there are any data that is actually, satisfying this condition and triggers you. the email. So in the next run, it will really not go and check the entire whole data. It will check from last run, and that is why it is, just to avoid scanning the entire data rather than, Okay. doing it, avoiding that, and scanning. only the specific. duration data. Mhmm. And. the next turn, this is very helpful. delta in fact. So that that's. how it. works. Whatever is coming new. new. Okay. Yeah. Okay. So I have set a safety buffer of, let's say, just 1.25. So it'll be, any entitlements which have been modified in the past, one day and six hours, that's a point two five part here. That, what those would once which would be evaluated for the notification, and I've set the trigger. Okay? I could change it to nine from 95, I could change it to maybe 80, 75, as the need demands. So I'll I'll just keep it at 95. Let's move on. Now these are fields that I could actually add to the to to the notification alert, additional data that I want. So it did not have account ID, account name, and account type, But as, somewhere in the customer success team, I may need, all of this data to appear in the notification when it arrives in my inbox. So I've gone ahead and added those as well. You could go ahead and add more. If you want, you can add your entitlement ID. Oh, not this one. Sorry. Wait. This is the wrong one. Yep. So you can add maybe I wanted to know the partner tier account ID, maybe the country or the region so that the, the specific team, if it is a region a regionally distributed team, they could be notified of, such an activity, or such a consumption rate. And then, here is an increment that we have delivered. So earlier, I believe, Anurag, this used to be only supported via email and webhooks, but we've also now added the support for SFTP. Currently, SFTP is only available for scheduled data alert. For new data, it does not support SFTP. But, for, for this sort of a notification, you can actually send it to SFTP also. For now, I've just added, two emails here. I've added myself and Anuradha. I could change the subject line. I I could add some message template over here, and set the format. And you can also give your, web book details or configure your SFTP as needed. All the details are here. It's pretty nifty. And then finally, it gives you, the the screen to check, to review whatever you have done. It's a schedule type notification. This is the name. These are the conditions. This is the frequency, timestamp fields. Everything, comes here. It it's configured on email, webhook. Once you review all of that, you can complete it. And then whenever the data, it meets the the criteria that we have configured, in the conditional notification, it'll it'll send you an email alert as well as, a webhook notification as I've configured here. Okay. I I think, I'll I'll move on from customer success to another persona here. And, so, Anurag, while we were on the entitlements page, I I saw some visuals related to renewals. And while I navigate to, to the to the the entitlements page once again, could you briefly explain, what has been built for renewals team, in this regard? Yes. Renewals team would really want to understand mainly the upcoming renewals. What are the upcoming renewals in next quarter? That would be. the primary, point which they would want to understand. So we are. Right. actually showing that in this, dashboard. Mhmm. And the yeah. The middle one. Right? In the lower middle. one. That is the one that actually, tells you what are the upcoming renewals. Again, when you drill down, you will get more details of this Mhmm. Okay. account and what are the upcoming retails. Mhmm. Entitlement, you you can always correlate this with your CRM and get. the, get in touch with the customer for, your conversations. So there are. other inputs also that we provide there. So which is also useful. How is the renewal rate coming along in each quarter? And. Okay. this is mainly calculated based on the number of entitlements added and the number of entitlements expiring, during that particular quarter. But we have. also provided our customer to filter down based on the part numbers. There are several customers who use part number, for identifying whether if a particular line item or an entitlement created. When I say part number, it's. a SKU, which is also popularly. called SKU, right, to identify whether it is a renewal a new line item or a new, line item, Mhmm. right, or a fresh one. that is created. So they. use that. So we have a filter on that also. And by default, Flexero also or, if you know, also offers you Flexner operations, a way to identify whether it's a new order or a renewal order. So those con the order type is also part of the filter if you see. So you can filter down based. on these, parameters and to. get more, insights or more meaningful value out of these reports. It it has been built in a very generic way at this point of time. Okay. But you have the flexibility. to drill down to your requirement. Okay. Oh, that that's great. And I I believe, this, is this, the tenant? Okay. Just give me one second. I will bring up the the other tenant that I have logged into. Is this the one? Yep. And I think one of the, the functionalities which renewals team could really, use over here would be, you know, bookmarking specific accounts. Because looking at the entire renewals data might not be relevant to one person because they might be allocated to only, certain certain accounts or maybe interested only in understanding, any expired entitlements, of the previous two quarters or something like that. Right? So, one of the, the beauty about the the new customizations that we have, built is, that for example, if I take this report, I can actually select or deselect some of the columns. I might need, a couple more over here, and I could say, you know what? I just need the data for 2026. That's all. I do not need all the data. I just need it for, these two quarters, and I need it for, only a few accounts. So, let's say I would need it only for, let's call it, demo 12. We we only need it for demo 12. So let me search for demo 12 account. It's not there. Oh, I'm searching in the entitlement ID. Where? Yeah. Here. That's not. Yes. So demo twelve because this is the the account which is relevant to me, and I can actually go ahead and save this view. And I could say, my account, renewals, H12026. And this could either be public. If if I want others to be also to be able to see it within the tenant, within this instance of FNO, I can, make it as such. Otherwise, personal, and I could save the view. And it's now saved. So if I navigate, outside of, this view and I go back and open the the bookmark that I've just saved, I I should be seeing the same data. And this is the one that I want to look at, and let's just open it and see. That's exactly what I had just saved. So this would save a lot of time in configuring reports over and over again because your your custom filters and your column selection, it it remains saved, within the org, and it could be specific to your user or it could be, something which is, globally available, across the org. And so this is very handy, and, you also have the option to even subscribe to it. So if someone wants to, even receive the same report, over email, you can call it renewals, h one twenty twenty six. And, since this is tabular data or this is a flat report, you can receive it only in CSV or Excel. Let's keep it as CSV. I want to start it from today. I will end it after, maybe 12 occurrences, and I will send it to myself, reverenda dot com. I can subject to, put in a subject that this is an alert of sorts, and, I can also send it to SFTP if I need. So that option is also here, and then I create the subscription. An important thing to note is that, any subscriptions that you create, the the report that you receive would not be attached as a file. You would receive a link, which redirects you to the FlexNet operations, download manager page. And over here, you would see any report that has been generated for you. Okay. This is this is really good. And I think, finally, maybe I I would, like to speak on behalf of the the product teams or the product persona because I myself am part of, the product team here at Ravenero. And I'm always interested to, answer in the in the answers of questions, which I which I would hope that others would also be asking, in the product teams within your organizations, which would be, you know, which which of my products, is the most, purchased, which of my products, are, most recently sold, what features are mostly used, who which accounts are actually, buying my products. So, those sort of questions, could be found easily could be answered very easily within the platform over here. So the product is is not, an entity which is defined as a base entity here in, FlexNet operations. So the oops. I think I've just, logged out of, this tenant. So I'll bring up a a separate one. Just give me one moment. Yes. Let's try this. Let's see if it works. So, for example, the devices the devices report This is something going wrong during demo, which is not very uncommon. think, Let me check if, in. not very how may I know? Let's see if my custom report is working, which I had created just for, my own oh, yes. Yeah. So like I was saying, I think I'll I'll skip a step over here. So, initially, I wanted to discuss the part was that the the device or the the product data is available in a few different places. It is available in entitlements as adoption. It is available in devices as what products are being most frequently asked for. It is available in in usage data, as most requested features, for serve devices, but there isn't a consolidated view for what product managers might be thinking. And to solve that, not just for product, but any any person out there or any user out there which needs the, the customization solution or the customized solution or reports, built as per their own needs. This is the flagship offering that we have delivered in this increment, which is custom reports, as you need them. So this is an example of what I have recently built, as per my own needs. So I call this, a three sixty view, of products. Over here, I have, what are the number of entitlements per product within this tenant? This is obviously a test tenant, so the data isn't as, is it as well defined as it should be? Nevertheless, it it shows you the capability of the platform. It shows you which are the, the most active purchaser of your product. So this account, has purchased these many licenses, around, half a trillion or so, licenses of a specific product. What products have been requested by, license servers, or, standard owned clients. And more than the historical data, it can also give you, what products have been sold recently. So these are the products which have been sold recently, what products have renewals coming up, and then it also can give you features which have been most actively requested, on serve devices. So this is taking in from the users data that we get. And this is a very interactive dashboard. I will also go in briefly, and show you how the customization has been done. But you can see I have also added some, total visuals here. And if I select a specific product, let's say I just want to understand about this product, that I see on my screen, it'll actually start to reevaluate all the the values, and it will show that this specific product had 140 licenses purchased. And of those, there are 40 unused licenses. So, accordingly, I could, gauge that how well is the product doing. I will not go ahead and show you how this has been built but briefly because this took a lot of time. But so from analytics, I went to custom reports and then into the edit mode. And here, you would see options of the the data entities that will that are available to you. These are actually called semantic models, and the the relationship between semantic models has been predefined over here. So it's not as if all the, all the entities can join to another. But if there is a logical join between two entities, you can go ahead and join these. And then I have defined visuals, based on, what I need to see and what access and, what legend I need to call it. The colors can be changed, and almost every aspect of the, the reports can be customized here. So I've done it in a visual format, but can but this can as easily be flat reports if you need. And similar to what we have just shown, these can be muck bucked. These can be downloaded, and this could be subscribed. So, for example, as a PM, I might want to download this and put it into a slide deck, as a as a PDF. So I would just say download it. I would say export now, and then it would start to to process it. But, ahead of time, I've gone ahead and actually downloaded it once before, and this is how it would look. So this is a snapshot of the current view, and I could go ahead and put it in a slide deck. And this really concludes, the demonstration for today. I hope this has been very in, insightful. Over to you, Christine. And if there are any questions, please fire away. Thank. Great. you. Fantastic. Alright, folks. So while, we're waiting for folks to go ahead and submit your questions for either Ashish or or Anuradha in in the chat, I do want to go ahead and plug our next event that is happening on May 12. So this is the next, software monetization office hours event. It's, titled simplifying single sign on onboarding with SAML and OIDC. So, Reshma Sashi Kumar will be, presenting that, for you guys. So if that's of interest to you guys, please, we invite you to go ahead and you know, as is kind of almost automatic, you see a QR code. You you take a snapshot of it with your phone. So go ahead and invite that. This event is also on the, software monetization's office hours page, with all of our, upcoming events as well as, recordings for our past events. So then the next little bit here is, again, we'll open things up for questions for either Ashish or Anuradha. And, you know, we also would love your feedback on what you thought of this particular session. Feel free to, give us that feedback as well as make suggestions for any future topics that you'd like to hear about. So why don't we go ahead and give folks a minute or so, see if they, put in any questions in chat? Yeah. And and thank you, Ashish and Ararada, for the, not just the, the walk through of the platform, but really providing those use cases, from the different, personas and kind of how you would go about, doing that within the platform. Yeah. Thank you, Christian. K. So we'll wait here for another minute or so. Alright. So I'm not seeing any questions in chat. What I do hope is that the folks who might be here in attendance have have also had a chance to kinda play around with this, so, or have been in touch with our various teams already. So with that, why don't we go ahead and we can go ahead and conclude today's session. But, of course, if you guys have any any questions after this or if after reviewing the recording again and find that you you you or your teammates have a question, I'm sure Ashish and Anuradha will be happy to, to answer those questions for you. Feel free to reach out to either your, you know, customer success manager or to [email protected], and we can forward on those questions to, to Ashish and Anuradha. I think this is this is to say you guys did a a great job in going over all the the content here. So alright then. We'll go ahead and close things out. Thanks you. all. Appreciate it. Have a great rest of your day. Thanks, everyone. Bye, everyone. Thank you. Good day. Bye bye.