AU Class
AU Class
class - AU

Connecting the Value Chain with Upchain

Share this class

Description

This session will highlight how to align the network of providers and personas with Upchain software from Autodesk.

Key Learnings

  • Explore how to remove bottlenecks that plague PDM and PLM throughput
  • Discover new ways of managing all aspects of data and process
  • Discover how PLM helps separate, siloed systems
  • Discover how a unified PLM platform helps to reduce complexity

Speakers

  • Avatar for Stephen Trochimchuk
    Stephen Trochimchuk
    Stephen Trochimchuk is a Customer & Technical Training Manager at Autodesk, Inc., in the PDMS division. Stephen is responsible for developing and delivering the Upchain PLM/PDM curriculum, live webinars, and learning assets leveraged by customers every day. With 10 years of experience as an educator and customer training leader, Stephen is dedicated to creating PLM/PDM learning experiences that are accessible and engaging for all. Stephen collaborates closely with internal and external stakeholders as well as customers to identify new opportunities to enhance training outcomes and drive adoption of Upchain across the value chain.
Video Player is loading.
Current Time 0:00
Duration 39:32
Loaded: 0%
Stream Type LIVE
Remaining Time 39:32
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
    Transcript

    STEPHEN TROCHIMCHUK: Hello, everyone, and welcome to Connecting the Value Chain with Upchain. My name is Stephen Trochimchuk. I'm a manager of customer and technical training here at Autodesk.

    Specifically, I'm responsible for the overall development and delivery of upchain specific product lifecycle management and product data management curriculum. This is going to include such resources as our live customer webinars, our e-learning academy, as well as various other learning assets and materials that are leveraged by our customers as they learn upchain each and every day.

    I work very closely with the customer engagement team as well as product development stakeholders to identify opportunities to continually enhance and expand our training offerings, and ensuring that our customers are well supported as they drive adoption across their value chains.

    So let's talk a little bit about what this session is all about. This session is primarily intended as an introduction to upchain. Of course, at the time of this recording, we are a recent, a new member of the Autodesk family. And of course, we're very excited about that fact.

    And this session is intended to answer a lot of questions about, well, what is upchain, and how is upchain uniquely suited for enabling collaboration across today's product stakeholder network.

    So we have a number of learning objectives for today's session. First and foremost, I want to talk a little bit about how what we call a decentralized product stakeholder network poses specific challenges to collaboration for organizations today. So we'll spend a little bit of time talking about what we mean by that decentralized product stakeholder network, and of course, talk about how upchain is uniquely suited to meet the demands of that otherwise disconnected value chain.

    So we're going to talk about how upchain helps otherwise separate siloed teams and systems communicate, collaborate, and work together effectively. We're going to talk about how a unified user-centric PLM solution helps reduce complexity, both organizational complexity, but of course, complexity at the individual product stakeholder level.

    And finally, we're going to review how upchain supports rapid implementation and onboarding to drive adoption across the value chain. We'll talk a little bit about upchain's unique approach to customer and end user enablement as well.

    So let's get started here. So I mentioned I want to talk a little bit about the challenges organizations face today with collaboration, these challenges that necessitate a PLM solution in the first place. Of course, with what's going on in the world recently, we are increasingly faced with a working circumstances where our workforce is widely distributed.

    Folks are increasingly working from home. Teams are working in different geographic locations and time zones, of course. And collaboration across those stakeholders is becoming increasingly strained and difficult, as folks find formal and informal ways of communicating.

    Additionally, you know, it's kind of the trade off the, you know, the and more technologically advanced we get, the more systems that we use, the more tools we use, it produces a kind of information overload. And so of course, finding up to date information product data is becoming increasingly, increasingly difficult, as folks are using various separate tools, and staying all on the same page becomes an increasingly difficult task.

    And of course, with today's markets demand-- market demands, excuse me-- the speed of change is putting a lot of strain on collaboration. Products are getting to market faster. They need to change to meet the changing needs of the market more quickly. And so keeping track of change, keeping up to date with the latest updates also becomes increasingly difficult.

    And then, finally, as I've already kind of alluded to this, but teams are working with multiple sources of data that somehow have to get integrated and centralized and structured in order for folks to have consistent and ease of access to the information. And so of course, what happens here under these circumstances is that communication breaks down, folks have a difficult, difficult time understanding what's up to date, what's requiring change. And all of this necessitates a product lifecycle and product data management solution that meets these increasing complexities.

    And so you might say, well Steve, of course my organization is struggling with collaboration. That's precisely why we're looking into a PDM or PLM solution that will enable the types of collaboration that you're talking about. Why upchain? Why not just any PLM?

    Well, it's part of our thesis that the majority of PLM solutions out there today are not well suited for today's changing decentralized product innovation landscape. Instead, most PLM solutions have been architected for large, highly integrated organizations.

    This is back in the day when one OEM essentially ran the show, with a very tightly integrated value chain. These PLM solutions have been architected with a extremely high level of customization. With very high levels of complexity, primarily because they were architected and implemented not with the extended enterprise in mind, but rather for the perceived complexities associated with engineering, and its specific user base.

    So you have a system that is built for engineers by engineers not particularly well accessible for outside stakeholders. You have a set of very closed systems. Deep powerful, mind you, integrations with a specific set of mostly engineering tools. A deep integration with one particular CAD system, for example, typically the proprietary CAD system of the PLM vendor. And a difficulty to integrate with other systems.

    So what you have here is PLM solutions have been engineered to be optimally suited for what we call a homogeneous value chain, right? Back when the OEM essentially ran the show there. Highly integrated organizations.

    However, that landscape, as I've been hinting at, has dramatically changed. Most companies today are part of increasingly decentralized and dynamic value chains. More and more, you're seeing organizations take, for example, you know the auto industry, where as many as 70% of components within a design are procured in, the various components, subcomponents, and systems that are integrated into products today.

    Products are increasingly multidisciplinary. You need an integrated bill of materials that can bring together and structure mechanical, electrical, and software data. You have, of course, an extended or broad product stakeholder network, both within the organization and outside of the organization. You can see in this diagram increasingly outsourced work to other engineering teams. Tighter collaboration with an extended range of customers, and of course, manufacturers.

    And so what you end up-- what you end up with is an environment in which heterogeneity rules the day. Each of these different parts of the organization, parts of the value chain are working within their own particular sources of data, whether it's CAD, computer aided engineering, PLM, ERP, right?

    And they are also resorting to increasingly informal and spontaneous peer to peer collaboration. Again, that ties to that rate of change challenge that I pointed to. Folks need to get things done quickly, they need to communicate quickly. And so they're resorting to more informal peer to peer collaboration, email, chat, phone, et cetera.

    And so instead of a PLM solution that is designed for a homogeneous value chain, we instead require a PLM solution that is flexible, agile, able to integrate with a variety of different data sources and systems. So in short, you know, the PLM solution that supports this heterogeneous value chain needs to be itself flexible and agile.

    Now, we've seen this play out with the common causes for why PLM implementations for organizations often results in underwhelming return on investment. For traditional PLM, it involves prolonged costly deployments. So in other words, less flexible solutions typically require a highly disruptive and painful rip and replace approach.

    If it doesn't integrate with a system, the system needs to fit the PLM, and often you have users having to adopt entirely new software in order to get things done. The PLM systems often, as I mentioned, require high customization. They're often over-engineered to address every single corner case, instead of adding value.

    And what ends up happening is with high customization, you require a high level of specialized knowledge and training, which again, can prolong and make your deployment implementation of PLM costly and time consuming.

    Furthermore, as I'm already hinting at, the traditional PLM systems being more closed systems, lack that multicast support which creates barriers between engineering teams. The multidisciplinary engineering teams have a difficult time collaborating. You've got outsourced work where teams might be using different CAD systems than the one that the home company is working with. And so you have a real difficult time sharing information in real time.

    And then furthermore, there's always challenges with sharing up to date data with external stakeholders. How do I communicate what's changed to my supplier network, to my manufacturing floor? We need to be able to share that data in real time, and that's very difficult when you have closed, difficult to configure systems.

    And what this all ends up leading to is really what you're most afraid of, is poor user adoption, right? You have a set of unintuitive interfaces, disconnected user flows. The PLM itself feels alien and external to what I'm doing in my particular role as a product stakeholder. Customers will often tell us that the PLM system they used before coming to upchain, just to do some simple routine data entry, results in a cascade of different menus and interfaces.

    And it can be a really frustrating, and as I said, kind of alien experience. Doesn't feel natural and it doesn't naturally integrate with their everyday user flows. And so what happens, ultimately, your user base doesn't-- is either doesn't like it, or if they have to seek workarounds in order to share information.

    And so what happens right with your workarounds is that that's going to undermine proper product record keeping and enterprise governance. Folks are sharing information via email, informal means. They're going outside of the PLM, because ultimately, the PLM is not agile and flexible enough to integrate with the systems they're using. And it results in miscommunication, sharing of out-of-date information, et cetera, et cetera.

    And so it's against this backdrop that upchain represents the future of product data and process management. Upchain is a cloud-based product data management and product lifecycle management software all in one. And it provides an instant on agile innovation platform that adapts to your organization's needs.

    Upchain connects your product development processes from concept to production by giving engineering and non-engineering stakeholders access to real-time data and insight into product development processes. Now, it's not my intention today to run through a laundry list of features and capabilities that upchain offers, but rather, give you an insight into the philosophy or design approach that underpins many of these capabilities.

    Because it's our belief that a connected value chain depends on democratizing data. You can think about democratizing data as the upchain credo, so to speak. It's our thesis that product data should be democratized, which means that data is instantly available to those who need it in the way they need it.

    And so the way that upchain does this is by a focus on reducing barriers to entry, to access to data, and access to information. Our instant-on PLM is, of course, as a cloud based solution requires very minimal technological infrastructure costs. Deployment time can be done in a matter of minutes. There's no hardware required. It is a truly instant-on solution available in the cloud.

    And, of course, access to the PLM by your various stakeholders is also instantaneous. As soon as they get access to a tenant and has an active upchain license, all that's required to access information anywhere in the world at any time is an internet connection.

    Now, upchain enables multidisciplinary cross-organizational collaboration. That is, collaboration across different engineering disciplines, between different internal and external engineering groups, as well as across the extended enterprise.

    Now, we do that on the engineering side by offering a CAD agnostic file management solution, i.e. we integrate directly with a variety of the leading CAD systems in order to maintain a consistent and integrated bill of materials.

    So in other words, you know, it doesn't matter if your local teams might be using Inventor and a potential, you know, some outsource work might be done by a team working with SolidWorks. Upchain enables those processes, centralizes and structures the data in an integrated bill of materials.

    We also automate CAD a drawing translations so that those files can be easily consumed downstream by other stakeholders. And we enable engineers and downstream teams to holistically view and interact with rich real-time 3D models and their corresponding metadata, and communicate and collaborate simply through their website browser, using powerful 3D mod-- excuse me, model visualization markup and communication tools. And then finally, our powerful workflow engine automate and streamline the various processes that govern the lifecycle of your design.

    And of course, what would democratizing data mean if it wasn't-- if the system that facilitates that wasn't easy to adopt, easy to use and easy to learn? And now, it's a simple yet powerful idea this democratizing data, that product data must be available to those who need it in the way that they need it.

    But we see these as necessary conditions for connecting the value chain that we've been talking about. When you reduce the barriers to entry, when you make it easy to be able to integrate and access the type of data that different stakeholders mean-- need, excuse me, depending on different life cycle states of the data, you really you truly do unlock the possibility for collaboration across different user streams and products stakeholders.

    And so the question is, how do we deliver on this? How does upchain deliver on this uniquely connected value chain democratization of data, right? Now, it wouldn't be a mistake to say that this principle of democratizing data permeates everything upchain. It is supported by on a number of different axes, and two that I want to focus on in today's presentation are user experience, as well as organizational and role based enablement.

    You get either of these axes wrong, and that's when your organization is going to run into the type of problems that I alluded to earlier with negative user adoption, folks working outside of the PLM system, unsure of how to connect their user workflows to the PLM system, and so on.

    So for upchain, what this means is a focus on what we call user-centric PDM and PLM, i.e. PDM and PLM that works for the everyday product stakeholder, as well as from an enablement and training perspective, connect the chain program. Now, I'll talk about either of these in order here.

    Let's begin with user-centric PDM. And so what do we mean by this user-centric PDM and PLM? Well, for upchain it means that PDM and PLM should be as complex as necessary, and as simple as possible. Not simple, but as simple as possible. We want to make it as easy as possible for different stakeholders to interact with PLM, to be able to find, consume, potentially review, and modify the data that they need to.

    So what does this mean in practice? Well, upchain has been engineered from the ground up to be a natural tool for product stakeholders. And that starts first and foremost with the tools that they're already using. We integrate directly with the various engineering and productivity applications that product stakeholders already know and love. And therefore, very minimal disruption to their typical user flows. They're able to access up to date information directly in the applications that they're already working in.

    We've engineered a modern intuitive user experience that enables end user efficiency and drives collaboration. It's an interface that's easy to navigate, requires minimal context switching, and therefore is as minimally disruptive to the product stakeholder as possible.

    And we have built in automatic pushing of tasks and information to key stakeholders directly within the application and via email notification. And furthermore, upchain essentially acts as like the operating system behind the scenes, notifying stakeholders that when the data that they're viewing has been modified. They see exactly what has changed.

    Rather than seeing a full notification of the change and providing links to all the data that might have been impacted, they're updated in real time that the information they're viewing is out of date, and they're prompted to update it in real time. The idea here is that this simplifies and streamlines the user experience, and it streamlines the interaction and use of the solution by different stakeholders.

    So just a quick little tour, rather, through the interface here. We see the bill of materials as it exists directly within the web application, accessible directly within your web browser. And so this information is readily available, accessible in real time. It's a clean interface. We don't have a cascading set of menus and data entry points.

    And of course, this view is entirely configurable by the end user. They can show and hide information based on their particular stakeholder needs. We also see here the 3D visualizer here that enables stakeholders to view in real time designs and models as they are happening. They are instantly available. The visualization is created in the background every single time, and a CAD user checks in a file.

    That's going to be updated every single moment so that the stakeholders consuming this information downstream will be able to visualize and potentially mark up these views of the data.

    Here we see a simple example of a change request form, where we can easily identify which data is affected by a change. Again, nice clean interface with a simple set of workflow actions there in the top right corner. And even our workflow editor, working as a tenant administrator, configuring the various business processes that are going to drive and govern the lifecycle of your designs.

    Our workflow editors is a very simple to use interface, drag and drop functionality. No coding or special expertise required. Very easy to use and very easy to implement.

    Let's have some fun now and take a look at some pre-recorded demonstrations that illustrate how particular product stakeholders can leverage upchain tools directly within their preferred applications to complete their daily work.

    We're going to start off from the perspective of task and file management. So this is going to be looking at a relatively simple use case with a CAD power user. So in this scenario, a organization has a product design that they want to begin based on a standard release set of data.

    So they want to take their existing design-- in this case, it's going to be a fishing reel assembly, their standard fishing reel assembly, and they want to create a copy of that assembly so that work can begin on the new iteration. So this is for a new project based on a pre-existing design. You want to create a new assembly so that the original is unaffected, and can go along its own separate developmental path.

    So the first thing you'll notice here in this interface, and here you can see Inventor's open. We're working in the Inventor workspace. We have our upchain plug-in on the right hand side. So all of the work that's being done in upchain will take place in this CAD plug-in.

    The user is just going to go ahead and log in using their single sign on, and entering in their Autodesk credentials. And once logged in, as I said, they're going to be performing all of their tasks directly within this interface, in the CAD space.

    So upon logging in, the user notices that they have an assignment. They could access the assignment directly from there, or they can navigate to the project that they're working in and be able to view all of the assignments assigned to that user in this particular project.

    Directly from the task that's assigned to this user, they can find the associated data set-- in this case, the assembly file-- as well as view all of the details associated with this assignment directly within that interface.

    Very handy. The user can open the affected CAD files directly from the assignment. No confusion over which data sets you use. And now they're just refreshing the plug-in so that upchain can read, and just do a quick little sanity check to make sure everything that they have locally is up to date and no one else is coming along and checking out the files.

    The user is going to go ahead now and select clone. In this case clone this new item. And again, that's creating a duplicate of the top level assembly, and essentially creating it as a new item in the system. So it's reusing all of the components, at least for now reusing all of the components within the assembly, but the user just wants to clone that top level so that work can begin at the top level assembly level.

    So upchain is recognizing now that this new clone has been not yet registered. And so we're just confirming that we want to place this particular copy in the original-- excuse me, in the new project.

    So now, upchain is just going to confirm, hey, you've got these files, do you want to create the new item in your bill of materials and reuse all the same components? Yes, we're good to go. And upchain is going to do its magic and check in the new files creating that new item, with a assigning a unique item number. And again, reusing all of the released components.

    So again, the idea here is that once this assembly is now created in upchain in this new project, work can begin on the assembly level. Folks can come in and check out, start replacing components. Different CAD users can work at different levels of the assembly, now that we have a brand new iteration of this design in a development stage, and we can confirm that new item number has been created, and again, while still using all of those key components.

    And so now, we can just simply navigate back to our assignment, and we can perform the workflow action directly within the interface. I kept things simple here. I'm approving my own task here. But the idea here is that not only have I been able to complete my work, receive my assignments, work with the proper data set, and I can also go ahead and complete those workflow actions so that those who assigned this activity to me can now confirm on their end, hey, this work has been done.

    And they can confirm it hopping into the web application here, as I noted earlier. And we can confirm within the new project that we have a brand new fishing reel assembly based on the previous standard design, that can now be worked on, viewed, collaborated on directly within the various viewers and tools that upchain affords to the various stakeholders working in this project.

    So a simple use case, but I think a powerful one, of just how few clicks and user actions are required in order to complete an admittedly simple but very common use case.

    And so while the upchain CAD plug-in affords CAD power users a streamlined experience in which they can work directly within their preferred CAD software, and perform their everyday actions, receiving their assignments, and completing their work with most up to date CAD files and drawings.

    Upchain also affords product stakeholders working downstream, who may be performing their routine tasks using Office Suite, for example, to access upchain tools directly embedded within those preferred applications. And this affords product stakeholders full visibility into project status, full access to an up-to-date bill of materials, and of course, the ability to not only just consume data, but update product data and documentation directly within these preferred work spaces.

    And so we're going to take a look at another scenario here. Now we're taking a look at a day in life in maybe a project manager who's working on preparing a project report, to see how this PLM is enabled directly within Microsoft Office.

    And so we have this project manager who is working on the PowerPoint presentation. The PowerPoint presentation itself is managed document version control directly in upchain. So the project manager is going to check out the file. They're going to perform some updates by exporting information from the project bill of materials, including a up to date image of the assembly model the associated technical drawing of the assembly, as well as an export of a basic-- excuse me, basic bill of materials containing some pertinent information that they want to include in their project.

    And then finally, of course, that project manager is going to check in that updated presentation back to upchain, increasing its file version, ensuring that other stakeholders within the organization have access to the latest working version of that presentation.

    So let's take a look here. Again, we're going to access the upchain plug-in on the right hand side of the interface. And again, you'll notice that the interface itself is very similar to what we saw in the CAD environment, again, providing that similar user experience across different systems.

    So the project manager finds their assigned task within their assignments page here, and begins the workflow so that they can start their work. They navigate to the Documents tab to find the most recent version of the PowerPoint presentation. Checking out and locking that presentation for others, so that they can work securely with this particular document.

    And they navigate to the bill of materials for this particular project, accessing the model linked to document function to quickly insert the most recent working version of that model. We also-- here directly within the drawing interface, the ability to drag and drop the drawing image immediately to the presentation. And then finally, accessing the most recent version of the engineering bill of materials, selecting a template that was pre-created here for easy export of information.

    So in this case, we've exported the data set name, the description of the items, and the item numbers. So very, very streamlined easy way. Just a few clicks here, that this project manager has gotten complete up to date information exported out of upchain.

    And what's of course nice about this is now that this is a working document in upchain, this user, whenever they interact with this document again, if they check it out, they'll be notified if any of this information is out of date, whether the model has changed, whether something on the drawing-- maybe an annotation has been added to a drawing, or some of the bill of materials attributes have been updated as well.

    So the user just inputs their change descriptions, so that folks understand what might have changed with this document. They navigate back to their assignments tab, and complete the little workflow button to signal that their work is completed. And now the creator of this assignment will receive notification that the task is complete.

    Now, that's a simple example. Remember, as complex as necessary, as simple as possible is how we want to keep things here. But I think it's still illustrative of the core point that stakeholders can easily access up-to-date product information in the way they need it, using those tools and environments in which they are familiar. So very easy to perform those routine tasks, streamlined user flows directly within the environment in which the product stakeholder prefers and is comfortable.

    So let's now turn to the final component of today's presentation, which is a brief overview of onboarding and training. Let's talk a little bit about how we enable and support customers as they connect their value chains.

    And I've alluded to this earlier, but we refer to our onboarding, implementation, and training program as Connect-the-Chain. You can see the connection with connecting the value chain, integrating a value chain via upchain.

    Connect-the-Chain is a structure that enables rapid, efficient, and effective implementation and user onboarding, through which your organization will align with our customer engagement team to define technical requirements, and define a success plan that makes sense for your organization.

    You'll work closely with our technical teams to configure your upchain tenant, to map to your existing business rules and processes, and migrate your existing bill of materials and parts libraries to upchain. Now, what's especially unique about our approach is that as an out-of-the-box configured cloud-based solution, your teams will have access to a live, configured tenant that may be used for testing and training purposes immediately from day one. Organizations can focus on immediate quick wins that ensure stakeholder buy-in and drive positive user adoption.

    And here's where upchain's user-centric PDM and PLM really pays off in the relationship between user experience and enablement. For traditional PLM, with its complex interfaces and information flows that feel like they're engineered for really nobody outside of engineering, stakeholder enablement is a serious uphill battle.

    You tend to see very costly time intensive training, and of course, retraining, that requires shoehorning users with disparate use cases and interests into the same homogeneous system. PLM activities feel like a bit of a burden to the end user, and adoption rates suffer.

    You have different tribes within different teams using the solution to different degrees, and users employ the kind of workarounds that undermine the transparency and traceability that the PLM was designed and implemented for in the first place.

    For upchain, a solution architected for the actual people in the extended enterprise, the learning curve is far less steep. Stakeholders are trained within the systems and applications they already know, which is far less burdensome and therefore much more scalable, and they can focus on value added learning experiences that trains people to leverage PLM in performing their actual roles.

    Product stakeholders are busy, and they want to learn at their own pace. They want to learn what's relevant to their particular use cases and interests. So we've developed unique online learning streams for CAD power users, engineers, project managers, administrators, and procurement specialists, to name a few.

    Each learning path takes no longer than a few hours to complete. It's a hybrid learning model, in which stakeholders can work through short video-based courses designed to build knowledge and confidence to perform everyday routine tasks. They learn what they need, when they need, and they learn using the tools they already use.

    To complement self-paced learning, we also offer regularly recurring live instructor led webinars on best practices with upchain for particular stakeholders, which provides a live forum for trainees to ask questions and engage in dialogue with an upchain export, getting the support they need.

    So I want to wrap up here with just a few concluding remarks. What have we learned today? Today's dynamic and decentralized value chain requires an equally dynamic and agile PDM and PLM platform. Traditional or legacy PLM assumes a homogeneous landscape, and therefore is not optimally suited for this changing environment.

    To truly connect the value chain, product data must be democratized. This requires a PLM that is built from the ground up to reduce barriers to entry, eliminate bottlenecks between people and systems by enabling multidisciplinary, cross organizational collaboration. And frankly, it ought to be downright easy to use and learn.

    Upchain's user-centric product design promotes seamless integration between people, data, and processes, enabling individual stakeholder roles in the tools they know and love, and simplifying and streamlining complex processes and routine tasks. The Connect-the-Chain program provides organizations with an industry proven methodology for configuring, deploying, onboarding, and training end users, one that emphasizes adding value by enabling stakeholders in their particular roles.

    I'd like to thank you very much for your time with me today. Went a little bit longer than expected. But I very much appreciate your attention, and hope that you've learned something valuable about upchain today. Thank you very much.

    ______
    icon-svg-close-thick

    Cookie preferences

    Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

    May we collect and use your data?

    Learn more about the Third Party Services we use and our Privacy Statement.

    Strictly necessary – required for our site to work and to provide services to you

    These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

    Improve your experience – allows us to show you what is relevant to you

    These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

    Customize your advertising – permits us to offer targeted advertising to you

    These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

    icon-svg-close-thick

    THIRD PARTY SERVICES

    Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

    icon-svg-hide-thick

    icon-svg-show-thick

    Strictly necessary – required for our site to work and to provide services to you

    Qualtrics
    We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
    Akamai mPulse
    We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
    Digital River
    We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
    Dynatrace
    We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
    Khoros
    We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
    Launch Darkly
    We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
    New Relic
    We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
    Salesforce Live Agent
    We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
    Wistia
    We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
    Tealium
    We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
    Upsellit
    We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
    CJ Affiliates
    We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
    Commission Factory
    We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
    Google Analytics (Strictly Necessary)
    We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
    Typepad Stats
    We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
    Geo Targetly
    We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
    SpeedCurve
    We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
    Qualified
    Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

    icon-svg-hide-thick

    icon-svg-show-thick

    Improve your experience – allows us to show you what is relevant to you

    Google Optimize
    We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
    ClickTale
    We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
    OneSignal
    We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
    Optimizely
    We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
    Amplitude
    We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
    Snowplow
    We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
    UserVoice
    We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
    Clearbit
    Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
    YouTube
    YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

    icon-svg-hide-thick

    icon-svg-show-thick

    Customize your advertising – permits us to offer targeted advertising to you

    Adobe Analytics
    We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
    Google Analytics (Web Analytics)
    We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
    AdWords
    We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
    Marketo
    We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
    Doubleclick
    We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
    HubSpot
    We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
    Twitter
    We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
    Facebook
    We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
    LinkedIn
    We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
    Yahoo! Japan
    We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
    Naver
    We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
    Quantcast
    We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
    Call Tracking
    We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
    Wunderkind
    We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
    ADC Media
    We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
    AgrantSEM
    We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
    Bidtellect
    We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
    Bing
    We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
    G2Crowd
    We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
    NMPI Display
    We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
    VK
    We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
    Adobe Target
    We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
    Google Analytics (Advertising)
    We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
    Trendkite
    We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
    Hotjar
    We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
    6 Sense
    We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
    Terminus
    We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
    StackAdapt
    We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
    The Trade Desk
    We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
    RollWorks
    We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

    Are you sure you want a less customized experience?

    We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

    Your experience. Your choice.

    We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

    May we collect and use your data to tailor your experience?

    Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.