AU Class
AU Class
class - AU

Connecting the Value Chain with Upchain

共享此课程
在视频、演示文稿幻灯片和讲义中搜索关键字:

说明

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

主要学习内容

  • 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

讲师

  • Stephen Trochimchuk 的头像
    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: 0.42%
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 首选项

您的隐私对我们非常重要,为您提供出色的体验是我们的责任。为了帮助自定义信息和构建应用程序,我们会收集有关您如何使用此站点的数据。

我们是否可以收集并使用您的数据?

详细了解我们使用的第三方服务以及我们的隐私声明

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

通过这些 Cookie,我们可以记录您的偏好或登录信息,响应您的请求或完成购物车中物品或服务的订购。

改善您的体验 – 使我们能够为您展示与您相关的内容

通过这些 Cookie,我们可以提供增强的功能和个性化服务。可能由我们或第三方提供商进行设置,我们会利用其服务为您提供定制的信息和体验。如果您不允许使用这些 Cookie,可能会无法使用某些或全部服务。

定制您的广告 – 允许我们为您提供针对性的广告

这些 Cookie 会根据您的活动和兴趣收集有关您的数据,以便向您显示相关广告并跟踪其效果。通过收集这些数据,我们可以更有针对性地向您显示与您的兴趣相关的广告。如果您不允许使用这些 Cookie,您看到的广告将缺乏针对性。

icon-svg-close-thick

第三方服务

详细了解每个类别中我们所用的第三方服务,以及我们如何使用所收集的与您的网络活动相关的数据。

icon-svg-hide-thick

icon-svg-show-thick

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

Qualtrics
我们通过 Qualtrics 借助调查或联机表单获得您的反馈。您可能会被随机选定参与某项调查,或者您可以主动向我们提供反馈。填写调查之前,我们将收集数据以更好地了解您所执行的操作。这有助于我们解决您可能遇到的问题。. Qualtrics 隐私政策
Akamai mPulse
我们通过 Akamai mPulse 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Akamai mPulse 隐私政策
Digital River
我们通过 Digital River 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Digital River 隐私政策
Dynatrace
我们通过 Dynatrace 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Dynatrace 隐私政策
Khoros
我们通过 Khoros 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Khoros 隐私政策
Launch Darkly
我们通过 Launch Darkly 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Launch Darkly 隐私政策
New Relic
我们通过 New Relic 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. New Relic 隐私政策
Salesforce Live Agent
我们通过 Salesforce Live Agent 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Salesforce Live Agent 隐私政策
Wistia
我们通过 Wistia 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Wistia 隐私政策
Tealium
我们通过 Tealium 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Tealium 隐私政策
Upsellit
我们通过 Upsellit 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Upsellit 隐私政策
CJ Affiliates
我们通过 CJ Affiliates 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. CJ Affiliates 隐私政策
Commission Factory
我们通过 Commission Factory 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Commission Factory 隐私政策
Google Analytics (Strictly Necessary)
我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
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

改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

icon-svg-hide-thick

icon-svg-show-thick

定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
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

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。