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Connecting Autodesk Fusion 360 to SAP Using the Autodesk Forge Data API

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说明

Integrations between cloud-based enterprise applications should be instant, automatic, and simple—yet too many processes today still require manual data entry or the uploading or downloading of CSV files. The new Autodesk Forge Data API exposes the granular data you need to seamlessly integrate Autodesk Fusion 360 into your data workflows. Learn how CIDEON, an Autodesk and SAP Platinum Partner, is using Autodesk Forge to simplify connecting Autodesk Fusion 360 data to SAP. In this class, we’ll discuss two integration scenarios and how the Autodesk Forge APIs helped us with them, and we’ll demonstrate and discuss the benefits of two solutions: An Autodesk Forge Data-powered connector that enables fast, efficient, and seamless integration between Autodesk Fusion 360 and SAP, linking Autodesk Fusion 360 components with SAP ERP and transferring bills of materials; and an Autodesk Forge Viewer-powered SAP product configurator that provides an intuitive, visual user experience by interacting with a 3D representation of the underlying configuration.

主要学习内容

  • Envision new process enhancements and the integration potentials by the Autodesk Forge APIs.
  • Compare and choose from different integration approaches.
  • Reimagine systems supplementing each other by connecting their strengths.
  • Find a fitting Autodesk API for your own integration projects.

讲师

  • Stefan Schaarschmidt
    I am living in Germany, in a small town close to Dresden. I was lucky enough to start my studies in computer science just when the Internet took off in the beginning of the Nineties. I then started as a programmer, then I worked as a development manager for CIDEON Software & Services for many years, creating CAD-related solutions, mainly ERP integrations. Today I am responsible for CIDEONs complete development team, including the customer support. My first CAD-related programming was a little drawing generator in AutoCAD version 12 (no, not "2012") on MS DOS, with an NC export for a pipe bending machine. This was back in 1994. Our first SAP integration which created SAP BOMs out of AutoCAD was created in 1996. Since then, we explored quite some AutoCAD verticals, Autodesk Inventor, Revit, Fusion 360, and Forge (now APS – Autodesk Platform Services) and created solutions for / with them. But Autodesk's PDM/PLM side too, like Productstream, Vault, Fusion Manage. And yes, also some CAD systems outside Autodesk's eco system. So, whether you want to chat nostalgically about AutoCAD ADS programming and about SAP interfaces from the pre-RFC era or rather discuss the latest cloud technologies from Autodesk and SAP – I am happy to do so.
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Transcript

STEFAN SCHAARSCHMIDT: Hello, and welcome to this presentation. Thank you for the interest in the topic we want to cover today. The idea for this class stems from our participation in the Forge data beta program. And in this case study presentation, we would like to share our experience and also the results of our journey.

My name is Stefan Schaarschmidt. I am a development manager at CIDEON and based in Germany. I studied computer science long time ago, and I am still very interested in technology and have seen some changes over time, including Autodesk software or SAP.

The company I'm working for, CIDEON Software and Services, we are Autodesk partner for a long time. We are actually one of the biggest in Europe, platinum partner even. And we provide consulting, implementation, training, software development. And we are based in Germany and Austria. And while our customer base is cross industry, we have a certain emphasis on mechanical engineering and plant design.

What's interesting about us, and maybe a little bit different and unique, is that we are also a SAP partner for a long time. We provide the official CAD integrations for some of the CAD systems on SAPs price list. For example, the Inventor SAP integration or the AutoCAD SAP integration. And we have integration customers worldwide.

So the integration use cases I want to present today, the first one is Fusion 360 data integrated with SAP. This is the main case study. We will cover what our motivation was our journey, our involvement in the beta program. It will be a bit technical but not too much. And of course, we conclude with a little demo.

As for the second case, the SAP configuration within the Forge viewer, well, we were a little bit overexcited to include the second one in our class, but we were eager to show it. And however, it fits quite well, both the general topic of integrations and also the best of two worlds approach, as well as the topic of using Forge for ERP integrations. Let's call it our bonus content.

Let's go for the first one, Fusion 360 and SAP. So let's start with a bit of motivation here. So CAD is great. CAD is the best, of course. In CAD, the products of tomorrow are being created, or the urgent changes for today's project. But at some point in time, you encounter questions like the one here on this slide.

So things like, OK, if I have all my manufacturing controlled by the ERP system, could I please have the full BOM from CAD available there? And could it please be correct and complete?

Or there are scenarios like, when I'm pre-ordering some parts way ahead of manufacturing, then maybe I could create a BOM right now, even if the design is not complete yet. And then I would update it later without the user having a hard manual side-by-side comparison and check out the differences.

And of course, there are follow-up processes in SAP, which rely on the data coming from on the CAD side. And this could be things like plant maintenance or spare part orders or things like that.

But on the other hand, if you are the CAD engineer, then you also want to know things from the ERP side, like having a really serious cost calculation which is relying on a lot of information stored on the ERP side. Or if you want to know if I have this CAD part, what's the price or availability for this? Maybe I should use a different one.

So not all of these questions are directly answered by an integration, but exchanging CAD data with an ERP system is really important for those.

So our answer for these kind of questions are integrations. So there are basically two types of integrations. One is CAD direct integrations, like our Inventor SAP integration. In this scenario, the integration sits right within the CAD system. And in this scenario, SAP is also the PDM system. So you would check in and check out CAD files, and so on. But of course, you would also create ERP data, like bill of materials.

Or you have PDM integrations, like our Vault SAP integration, where , of course, Vault is the PDM system, and the integration sits right within Vault. And here the most important things are the exchange of item data and bill of materials but also some document management functionality, like providing neutral file formats and things like that. And CAD files in this scenario would not necessarily be in SAP.

So the cloud business is growing, and it's growing since a long time. And Autodesk started offering cloud solutions a long time ago. Just think of things like AutoCAD Web or BIM360, now Autodesk Construction Cloud. Fusion 360, Fusion Manage, Rendering Services, or the sharing services from our favorite on-premise CAD systems.

And the same is true for SAP. They started offering cloud solutions also a while ago. And the one we are interested in here is the S/4HANA public cloud, which is basically an SAP system which is centrally hosted by SAP. It's a software as-a-service solution, and it would be web based instead of the old Windows GUI.

So this was the situation we encountered some years ago, and we were thinking, OK, in this scenario, how does an integration fit in this one? And so we looked closer at Fusion 360 since it is a 3D system, and it's in our genes to-- if there is a CAD system, we want to integrate it, of course. And what are the properties interesting for us?

It is locally installed, but it is just one CAD version because it auto updates. And its whole CAD data is in the cloud. It's interesting. And also, it has the document management built right in. So access management, searches, versions, milestones would all be provided by Fusion itself.

So stemming from that, we have basically the requirements of a PDM integration. And this would be, OK, we need to transfer the bill of materials and including all the data necessary up to this point, meaning item data. And also we want to make SAP information accessible for specific components. So if I have a CAD component here, I want to know something from the SAP side.

And again, just like we say with a normal PDM integration, we also have some optional document management requirements, like, if in the follow up processes you need a STEP file, and we can provide that or previews. Or maybe, if you have a CAD document and on the SAP side you have the SAP document, and maybe this could indicate if the CAD document was released on the CAD side.

So for an integration, there is a certain functionality necessary for certain tasks we need to provide in order to enable this. So things like assigning an SAP item to a Fusion 360 component or creating an SAP item using the CAD information from a component.

And of course, without re-entering this information manually because, if you re-enter information, you are losing. You're losing fun your're losing quality, and of course, you're losing time. And this is also true for the reused CAD components. These need to be recognized in order to avoid a double creation of SAP information.

And then, of course, we want to create and especially update SAP bill of material from the CAD structures. And we want to display SAP data for a selected component.

So how did we approach it? We looked for a technology platform. So obviously, it needed to be web based and a software-as-a-service solution. And we decided to go with the SAP business technology platform to host our solution.

So this is a platform-as-a-service solution from SAP, which is nice to host your application in if you are interested in connecting to SAP because it provides a lot of functionality in this area.

And on the Fusion 360 side, we did not want to have front-end modules because, if you are in a cloud scenario, it does not make sense at all to have a local installed integration if your partners are sitting both in the cloud. So what we wanted to do is using the Forge APIs to access the data which is stored in Autodesk service and go from there.

So what we did, it's still some years back. We were checking out the Forge APIs which were available back then. One was the data management API, and this works very well to access the hub and projects and folders, finding versions of models. But of course, it's not meant to display the contents of the CAD models.

Also, we looked at the model derivative API. This is meant for neutral file creation as well as delivering some metadata on the way. And this even includes structures. However, this is not designed for tracking of changes or recognition of re-used parts.

So if you have a different model version with a slight change, it's not completely sure if this component is the same like the last one or a slightly different. And also, we gave the design automation API a very short look. This is a powerful automation tool for AutoCAD, Inventor, Revit, 3ds Max.

And you can basically use a background CAD system in order to access information or change the information. But it's not available for Fusion 360 and, to be honest, a background CAD action would have been too expensive anyway, time wise, for the kind of integrations we had in mind.

So what we did is we created a proof of concept, a demo implementation using the first two APIs. And then we were seeking conversation with Autodesk.

So Autodesk started working on Forge data some years ago, and we were very interested in this topic and followed closely. And we even participated in earlier initiatives called HFDM. And last year, Autodesk started a new beta program for Forge data.

And we were invited for the Forge data Vanguard team. And since our use case fit it quite well, and well, and also, Autodesk was aware of that. So we participated in this private beta. And this was a very good experience.

So the first task we had to do is understanding the underlying data model. So this was very interesting for me as a software architect. How would you model a data model in order to host all the CAD data from the different CAD systems of Autodesk and maybe future enhancements, and so on? And the answer was something called an entity component system.

And while we do not want to go too much into detail, I can give a very simple explanation. Basically, it means I split up the information into really, really small parts, and then I use different types of connections, of relationships in order to model the CAD data you want to store in there.

And the API was modeled relatively close to this model. And we looked at the API, and it took us a little bit longer than usual to get into it. But the data was there. And it was sometimes a little bit like a puzzle piece. And then we had feedback sessions with Autodesk, and these were really good discussions. Autodesk was very, very interested in feedback from the participants in this beta.

And the feedback we gave is, well, this would solve our needs, and the data is there. However, it seemed like a steep learning curve. And I even would think that, if somebody who is not programming all the time, like maybe a CAD administrator, you would have a hard time.

So some weeks later, Autodesk came and said, OK, would you like to try a GraphQL-based API, and it would have all the familiar CAD objects and terminology and structure? And we said, sure. We want to try it, yeah. So what does it mean?

GraphQL-based means, OK, GraphQL is basically a technology which helps you to get information by detailing the fields you want to have, and you're getting back exactly the fields you want to have. And you can also include subcomponents, and these subcomponents would then also be included in the answer.

And this is very, very convenient, and it reduces the number of calls. And it's a nice technology. And actually, we did not have experience before with that, and the learning curve is really easy.

And on the other hand, the CAD terminology, it means simply that you would have requests which start with, for example, your component. And this component would be in a certain version, and it would contain occurrences and component versions in it. And this all makes it very easy and convenient to use this API and also a joy to use.

So we decided to go on and use this API in order to enhance our proof of concept and make something out of it which we can actually use as a product. And this is basically our story.

We were able to create an integration of the kind we wanted. And we can access data from Fusion 360, and we can also access the data from the SAP side, of course, and from a web-based integration. And we can present, enrich, and transfer this data. And I would say let's have a short demo.

So we start with Fusion 360, and we have a model in here. And this model consists of components, external ones, and internal ones. And we want to create a bill of material out of it in the end.

So the first thing we will do is log on to both sides, both the SAP side and the Forge side because both sides have their own access management, of course.

And then, we can navigate the hubs, the projects, the folders, everything the user can access. And interesting enough, this kind of navigation is also featured by the Fusion data API.

So finally, we will arrive at our model, and then we can dive right into it and see the components it consists of. And we can also see that some of the components are reused, and they were used in a different model as well. And this means they were already linked with SAP information.

So now, let's create an SAP product for the bike frame. And of course, we will use the information which is already coming from the CAD side. And after that, we will create a document info record. In this case, it simply contains a preview. But as I said, this also could be a STEP file, for example.

So now, the user can always access this information from the SAP side. And we do this, for once, we want to prove that the data is there, of course, but also to show, OK, this is quite easy to access the product sheet and all the information which might then be later added from the ERP side as well.

OK, and then, we have a lot of components which do not have a product link yet, and therefore, we do a mass creation in order to spare some time. And after we have done that, we are ready to create a bill of material.

So we do that, and in the beginning, this product does not have a bill of material, of course. We just create it. But we will do so. And it's very good practice to use a SAP change number to connect this with the creation of bill of material to track the changes. And we can do this right from the integration as well. Either select one which already exists or create a new one.

And then, we start the BOM creation. We can have a last check. We can see, OK, the component quantities are there, and they are correct. And then it's been created. And of course, again, we will have a look to see what was transferred and also as an example on how the CAD user can then later see additional bill of material information, which is being added on the ERP side.

So for now, we can see the components which we have transferred and all the different quantities. And these were all, in the end, provided by the Fusion data API.

So the place where an integration shines even more is, if I have a change process. And so I'm starting a change process from CAD, and I say, OK, I want to change these covers, these ABS covers into aluminum ones.

I save the file, and when I'm back in the integration, I can see that there is a newer version now. And if I'm diving into that, then I can see all the components, of course. And this includes the new one which was exchanged.

OK, so let's start our update of the bill of material. And again, to track all the changes on the SAP side, we are creating a change number or using one which is already there.

And if we are changing, then we can see the integration is very clear about which component was exchanged. The ABS one is being deleted or removed, and the other one added.

And finally, as a last step, just have to check on the SAP side, of course, to see everything is there.

So this concludes our first case study. We could see that the Fusion data API was able to provide the information which was missing before. And we are able to create an integration, which helps creating bill of materials and all the other things which are needed. And I think then we can go on to our bonus scenario.

So SAP configuration within the Forge viewer. So there are quite some configurators based on the Forge viewer. And they usually look like this. You have some selection fields with some predefined lists. So you can select what you want to include into the assembly.

Then you trigger the generation. And usually, you would use the design automation API in order to create a CAD assembly, and then maybe use Model Derivative in order to download the SVF in order to display it in the viewer, or to download a STEP file to be used later, or even provide the CAD model which was created in the backend.

So we had some customer requirements, which were going a little bit further than that. And these were, model once, configure anywhere. Basically, it means, OK, re-use your configuration which you already have instead of creating a new one.

Also, we wanted to try out a better user experience as intuitive as possible. So we wanted to make configuration by interacting directly with the graphics. And ideally, we wanted to have an immediate graphical response. So instead of generating an assembly in the backend and then coming back with the view file, we wanted to try to assemble the parts right in the viewer.

And also, we want to support the whole scenario right at the source of the CAD data. In our case, this was Inventor, and we wanted to test and verify all the configuration right in CAD so there would be no media breaks for testing.

So model once configure anywhere, if I'm looking at the bottom part, the SAP system, there is a strong configuration module right within the system. And it's being used in many of the processes within SAP.

So it would be nice to use exactly this information for processes which run outside SAP as well. And fortunately, this is available now. The SAP has provided a variant configuration and pricing web services running on the cloud platform, which can be used in order to have commerce solutions or sales solutions. Or for us, it was interesting to also create custom solutions.

So we had our first solution component. We had a configurator, and in the case of our customers, it was already in heavy use. And they were using it to create structures but without the graphics so far.

So for the viewer side, naturally, we looked at Forge viewer. And since we did not just have one completed SVF to load, we needed to somehow assemble the parts right within the viewer. This is an interesting task because, if you are looking at the two models in the top right corner, it becomes quite clear that the placement of components in the assembly depends on the placement and size of other components.

So if the component is a little bit bigger, then all of a sudden the neighboring components would then be pushed a little bit further away, and so on. So the idea was we would want to use component combination, having fixed components, put them together. And so, obviously, we needed some kind of a connection point system to stick them together.

And so we checked Forge viewer and looked at the API and said, OK, can we use it? And the prerequisites were can it load several models instead of just one SVF file? Yes. OK, very good.

Can be placed in the 3D space of the viewer? Yes, we can. Does it maybe even have a built-in constraint logic? Well, we didn't find any, so we had to do about it ourselves. And SVF is the viewable format, so we have to provide SVF files, so we have to convert our source Inventor files into SVF, of course.

So then let's go to the source, and the components our models would consist of in the end were created by normal inventor functionality. That's clear. But then we added a UI in order to support component creation for the model. So we wanted to define the named connection points. And then we wanted to test the logic.

So we implemented it like in inventor so Inventor would get access to the configuration service. And you would select from the options, and then Inventor would calculate our model. And it was, therefore, being used as a test environment for logical and graphical configuration.

So the component files would then be uploaded and converted to SVF. And of course, we need to store the viewables and meta information where the viewer could access them in the end.

So the final application logic in the viewer would then be OK to user interacts right with the component. And then the configuration system would deliver exactly the options which are available right now in the current state of the product configuration. Just think of, if you are using a car configurator, if you are choosing an entertainment system, some options turn on. Some other options to turn on, and some other options turn off. And this is the case here as well.

And after the user has selected this option, then the metadata would be recalculated. Components would be added or removed from the viewer as needed. And then the components would be placed according to the connection point logic. And I would say let's have a look at how this works.

So our model is a valve. It's a configurable valve, and let's jump right in. So the user can interact with the components, and if he selects, for example, a different set of screws, then they will be loaded. Or if he wants to find out what a blind plate is, then he can do so.

And to his surprise, he will find out, OK, it's not a for a valve but only the replacement part. So then do something useful and go back and configure a useful valve. And here we are.

And then after the valve is assembled, we can then go to the components and select their different options, like a different cable, and so on.

OK, so I think this is just enough to understand the logic of this. So at this point in time, in a live demo, we would go in to a Q&A session with a, hopefully, lively discussion. So therefore, I'm providing some contact information in order to have the chance to contact us and have some interesting conversations, be it about the technology, be it about the product. I am very interested in that.

So we have seen our two scenarios, and I hope you enjoyed the presentation and got something valuable out of it. And again, I'm very interested in continuing the conversation. So thank you very much for your interest, and goodbye for now.

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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

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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

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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。