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Accelerate Your Project Planning and Design Process with Spacemaker

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说明

Spacemaker is an easy-to-use software for outcome-driven design in the early stages of AEC projects. The software enables planning and design teams to create an optimal proposal for a building site based on physical data, site constraints, regulations, and local preferences. This class will present a case study in which the Spacemaker team worked with a leading real estate developer to revolutionize the site development process. In this example, Spacemaker was used by NREP Denmark and Årstiderne Arkitekter in developing the 35 000 m2 UN17 Village. The entire project team used Spacemaker´s outcome-driven design capabilities to perform design exploration, test regulatory requirements, and optimize site qualities such as wind, sun, daylight, noise, and outdoor areas. The 3D model in Spacemaker served as a single source of truth for the entire project team.

主要学习内容

  • Apply generative design to the early stages of project development
  • Create a 3D model to fully understand the building site, boundaries, terrain, surroundings and regulatory constraints
  • Design, compare and optimize multiple scenarios to create a concept that delivers desired density and living qualities
  • Receive detailed analytics on criteria that are critical for the quality and sustainability of a neighbourhood

讲师

  • Daniel Gameiro 的头像
    Daniel Gameiro
    Daniel Gameiro is a tech-savvy architect with 9 years of experience in Real Estate Development and Sales in renowned companies like Reiulf Ramstad Arkitekter, Spacemaker, and Autodesk. In his formative years, he founded a non-profit which developed humanitarian projects in Europe, Africa, and the Americas. His contributions at Spacemaker include the best practice method entitled The Spacemaker Way; instituting outsourcing processes to scale the customer success and technical sales teams; and assisting with the acquisition process driven by Autodesk.
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Transcript

DANIEL GAMEIRO: Welcome to our class on accelerating your project planning and design process with Spacemaker. My name is Daniel Gameiro, and I'll be your host today. Before we deep dive into the instructional demo, I would love to tell you about the big picture since Spacemaker has just joined the Autodesk family.

So today, we will look at Spacemaker as a product, Spacemaker as a method, the Spacemaker way. We will have a look at three use-cases that I think Spacemaker really fits and a case study that will be actually our demo part.

So let's start by having a look at the phases of design, building, and operating. According to Skanska and McKinsey, more than 50% of the value creation takes place on early phase design. And that's where Spacemaker fits.

We aim to improve the early phase development by leveraging outcome-driven design. And it's the launch pad of your project and BIM. Think about it as the hub to initiate projects and progress downstream into BIM workflows with Revit and into advanced analysis workflows in Insight and other Autodesk products.

I mean, over time, we expect these boundaries between products to be reduced resulting in more seamless workflows to our users. And we will go from like a product to a more AP experience. Currently, you will need to use OBJ and IFC formats to bring that model from Spacemaker into Revit.

So what exactly does Spacemaker do? In a nutshell, Spacemaker can be explained in four critical aspects. So first one, automated data. It's all about getting that 3D digital model in just a few minutes after you are plotting the property address.

Secondly, AI-Powered design. So what we really want you to do is to focus on the creative work while the software is doing the heavy lifting for you. It will always be a step ahead of you, so you can really do the work that matters.

Real-time analysis, and that's really what really unlocks the outcome driven design experience. And not only that, it also brings us to the next point about the seamless collaboration. It's actually enabled by real-time analysis.

You can be in the same room with all those stakeholders that you collaborate with, and really have informed discussions fact-based discussions about your project. And on top of that, Spacemaker is a cloud solution. So of course, you can work on it from any part of the world.

What about Spacemaker as the methodology? And the Spacemaker way is our customer success opinionated methodology about working in early phase development. We are not deep diving on this fantastic process today. I would like just to run through the basics with you, and make sure to check out the handout of this class to learn all the details. And I will also include some bonus.

So we have four phases. First one, GO IN, Project Creation. So after you set in the plots address and Spacemaker creating that 3D digital model, you want with your team agree on the constraints and goals of that project.

Then you want to GO WIDE. You want to open your solution room and consider as many solutions as possible. And then GO DEEP. And going deep it's all about finding those red flags. Those risk areas, those things that might come very late in the project phase, but really you want to find those very early on. You want to iterate your concepts based on that insight and really conclude on the best trade off, the best version that your project can be given the constraints and goals that you have set.

And finally, GO OUT. It's all about producing the report. It's the documentation of the whole process you have done. So you can share those with all the stakeholders, including the planning authorities. So everyone can be convinced that this project is the best version that it can be.

Now, let's have a look at the use-cases. There are many more but I've decided to bring three today. The first one is site acquisition. And Spacemaker will enable you to win more sites. To get deep and measurable insights early on, reduce risk and costs by 30% and cutting lead time by 50%.

What about parallel assignments and the competitions? Well, you'll be able to win more competitions. And you'll be able to develop a proposal with an outstanding performance that really supports architectural narrative that you are proposing. So you will win because your design performs best.

What about the last one? Development of sites. That will be actually what our use-case our case study will be based on. So here is really your opportunity to maximize the project return on investment. You will get all the hard facts to convince the authorities and other stakeholders.

You will have more data-driven design, and dramatically reduce lead times and costs of design iterations and analysis. And reducing time at this stage might mean a lot of money. OK. But let's have a look to our case study. And I'm super excited about these projects here. I was actually personally involved on it.

So our use-case is a project in Copenhagen, Denmark. And it's called UN17 Village. And it aims to address the 17 sustainable development goals defined by the United Nations. NREP is a preeminent Nordic real estate developer, and they were the client of these project.

And with them, they brought Sweco and Lendager as the major consulting firms that worked on this project. And Spacemaker was invited to facilitate a discussion about the existing concept. I just want to underline here, existing concept. Because although we have seen the most success when Spacemaker is used from the very beginning, in this case, there was already a concept in place. And it really summarizes what we have talked about until now that's deep dive process. It's all about outcome-driven design and life collaboration.

So in this demo, I will show you what we actually went through in a meeting where all stakeholders were sitting around and where we had a really good conversation. Now, let's jump into Spacemaker. So Spacemaker is a cloud solution.

You want to go to our website spacemakerai.com and click Login. Once you do it, you will present with all the projects that you are working with. And these are organized with all these cases that we have seen this Spacemaker being used on.

How can we create a new project? Just click here, new project. Define the country where it's located, the group that it belongs to you. Of course, the project name, and in this case, we will say that it's a demo. Then we need to follow all the steps that are described on the down menu.

And the first thing it's about writing the plots address or the area name, by the way. Now you want to draw roughly the polygon where your property is located. Spacemaker will now integrate with the local data provider. So you can choose the exact property that you are working with. And the last step is about ordering surrounding data. So we can have that 3D digital model that we need.

Now you can see that we have already the terrain in place. Now let's just refresh, update proposals so we can see all the buildings that Spacemaker has fetched for us. So for the ones that really know this area, you might see that the buildings are not perfect, the surrounding buildings.

So let's just have a look at Google Maps and Spacemaker side by side, and you can see that these buildings here they are not perfect. How can we correct those? You can go into Setup, Edit. Here we are. And now let's focus on this building here. We want to split it into two different buildings. Let's go into duty. You can see all the commands in the menu above. Let's chose Split. Draw the line, and now here we have two buildings.

Now let's just define their height. Let's start with this one here. This one it's about 10 storeys, and in Spacemaker it has 31.5 meters. OK. Let's leave it like that. And this one here, I can see it has three stories. So let's make it 9 meters. And these are meters above sea level.

Great. And we could do that for the whole neighborhood of course. Now, terrain. Well, you can import your home terrain or you can export the existing terrain as OBJ format. In Spacemaker today, you just want to create the building better to make sure this area is completely flat. And we will draw polygon, define its elevation. And once we apply changes, it will be completely flat.

Now, vegetation. When it comes to vegetation, I'd really like to have a look at the satellite image, which we can get from this menu. And now let's throw the polygon that defines the vegetation and give it 10 meters. Cool.

There is one last thing here, and that's fill to area. And this was critical in these projects. So there are two areas that we wanted to prioritize and to optimize the number of apartments that would see. And that's this lake. Let's just make it very rough. Great stuff. Let's make it also dark blue. So it looks like butter, rename it.

And now the second one will be the open grounds. And this is actually a green protected zone that of course, has a lot of diversity and a lot of animals. So we want to really optimize as many. We want to maximize the number of apartments. And we are done with setup. It's as simple as this. We want to click Apply Changes. Apply again.

Now we will jump into analyze. We want to update the proposal. Will we go. And if we would wait, we would see that it was not completely done. We just have worked with that building that we saw that we have split, but here you can see a model that I've worked a little bit more with. We have all the vegetation we need, all the buildings are looking good.

And we are done with that first step of creating the project. What we want to do at this point is to import the existing concepts. And there are two different ways of doing so. And the first one it's about importing the situation plan. So let's expand this menu here. Going to Assets, click Import, and I'll choose our situation plan.

So here we have our picture on the left hand side. And on the right hand side it's Spacemaker world. So you want to choose four points in the original picture and the same four points in Spacemaker in order to geo-reference the image. And deep here is to choose points that are really far away from each other. So the picture sits perfectly.

Here we go. Let's click Done. And now this picture will show on the assets. And we are in design mode. So at this point, we want to draw line buildings according to the situation plan that we have just show geo-referenced.

And note that the line building is like almost drawing by hand. By just drawing the line, Spacemaker will create a building. And we want to do this in a rough way. We want to be quick. We don't want to spend too much time on being super precise. Remember, early phase development it's about potential. It's about really making these big decisions.

So here we have our preposition. Now in 3D, we need to work with the heights. Of course, we can change the stories. Let's make it two. We can also add the control point right here. And let's make this building three stories.

We could of course, also change the width of the building. Let's make it the 11.8. Right. And now we would want to do this for the whole proposition. Again, I've already done that job in advance. So you can see here we have the whole original concept drawn as line buildings.

Our second option is to import again. And this time, we will import an IFC module that we have produced from Revit. So you want to make sure that this model is geo-referenced. So you can choose the coordinate system and check this, create a new proposal from this file option. Then we click Finish.

And that's really what I wanted to stop just a second here. It's a big point what we are doing here, because that's what's actually what happened in reality. So we were there all the stakeholders that work with that project around the same table, we import the model into Spacemaker. And at this point, we started at deep diving process is really looking for the red flags and making sure that this proposal performs as best as the context allows for.

First thing we have a look of course, for all the areas for all the different buildings. But then we start having a look at the living qualities, and Sun was, of course, the first one. OK. We go. Let's orient towards North and make it 3D. Here we can see a sun analysis.

We can click on the interface and see exactly how many sun hours we get on each point. This looks quite good. But here we have our first red flag. So if you click zero hours of the sun, we could probably do a little bit better.

Now we want to change into the units mode and went into a specific apartment. And on the right hand side, you will be able to check how many hours is this apartment exposed to. That's very little, just a few minutes probably. And we are considering the best day of the year. So you can see right here, the 21st of June. So for sure we could do a little bit better.

Now, let's have a look at daylight. And daylight, I'm really passionate about. OK. So several studies as you probably showed that daylight has a direct effect on our health. And Spacemaker allows us to assess daylight from day one from that first catches that you do.

And Spacemaker uses a method that it's called Vertical Sky Components which measures how much one point in the facade it's exposed to light from the sky. And the output are three different categories. The first one would be the light green, it means that there will be no issues achieving daylight compliance.

Everything that is light blue means that we would need big windows, but it's still possible. Everything that it's dark blue means that it's extremely risky, and it will be hard to achieve daylight compliance. And we can see that we have all the first-- the ground floor here is really low. We have some points here that have 80% vertical sky components. That's actually very low. We really want to work with that.

Great. Now let's have a look at wind. That will be our-- No. Let's have a look at the views first. So view to area really, that's something that the group was extremely-- that really wanted to prioritize. And what we realized was that this building here that is marked with the red circle has fantastic views.

And what was maybe surprising about it is that it is where the most affordable typology is located. And in contrast with that, we have the family typology that was here on the back on the Northeast corner, that we can see that didn't have that really great view.

So the whole group was a bit surprised. We start discussions around the table. What should we do? And we understood that a great idea would be to actually swap those typologies. So bring the family typology in the front and the affordable ones to the back.

Great. And now let's have a look at wind. Wind is actually extremely complex. But I will try to do my best to explain up here. So what you are looking at is a wind comfort scale. And the wind comfort scale is based on wind simulations for the eight different directions you can see on the wind roads.

And that results are wait for considering how often the winds blow from that direction during one year. And the result of this it's a super easy to understand map, where for example, light green would mean that it's very comfortable and yellow would mean that it's not super comfortable.

So we would need to actually minimize these areas that we see here in area by the lake, as well as some wind coming from between the buildings to the courtyard. So this is for sure something that we would like to address. So we have seen these issues. What have we done in life in the meeting? We went to Design and we just started writing.

So what we did was we went back to our line buildings, we duplicated that original concept, we rename it. Let's call it concept A. And we just start trying out things. Trying out some ideas all together as a team.

First thing we did was to remove this part of the building A in order to maximize evening some coming from the West. Let's extend this one here maybe even bring it a bit more to the West. So we get as much area as possible on the North-East corner for the affordable typology. Right.

In this building, we have tried the same idea we thought. OK, let's create maybe a C-shape building that also gets quite a lot of evening sun. And when it comes to the Nordic area where the family typologies will be located, we thought, OK, let's occupy this area by the lake that had a lot of problems with wind and remove that part of the buildings in order to improve daylight. So this was our concept A.

We also have considered another concept. Let's call it concept B. I mean, to be honest, we consider many more alternatives, but for this demo today, we will only look at these two. And on concept B, we thought, OK, let's actually not remove the buildings towards the street because the authorities might not allow to do otherwise. And let's make this one also a c-shaped but now towards South.

And when it comes to Nordic family typology, we will do the same. We will just remove the part at that really bad daylight. And now let's just run an analysis. And what is cool about Spacemaker is that as soon as you click Analyze, all these analogies start running in the clouds. And you can see these blue bubble. There it means that they are running, and they are not completely immediate but they are really quick. Now, I will just swipe to the right.

And what you see here on your screen, it's on the left hand side, you see the original concept. And on the right hand side, you see option A. So this is just like a comparison we are doing side by side so we start learning. This is outcome-driven design happening just in front of us.

So as you know we have this issue, and in the new version it's fantastic. It's now 9.4 hours of sun. But we create a much bigger issue. And sometimes it's like that. In order to solve something, you actually make everything else a bit worse. So we were a bit surprised with the results over there.

And when it comes to daylight, what we realized was that it actually improved quite a lot. We still have some issues on the ground floor but it's much slower. But what really happened is that area between the new volume and the sea volume, it became much worse. We have a lot of dark blue area and we can't have that.

So actually by trying to solve something, we did it much worse. So when it comes to the wind, now we are looking at comfort scales again. What we see that when it comes to this courtyard, it actually improved a little bit.

However, we see that these on here it's terrible. And we have also some wind coming from this opening. So we don't want to keep that opening. Now let's have a look at the option B, way better. So great courtyards. Perfect. We still have some issues for sure, but it looks way better.

Now let's have a look at some conditions. So no dark blue areas, everyone was very, very excited about this. It looked the right strategy. And what about the daylight? So remember that this is the affordable typology that now it's on the back.

Let's see how does it look way better. Just see here, we went from nine to 13 vertical sky component on one of the worst points. No dark blue areas towards the family typologies. It just looks bright.

Let's have a look at the dew to area. I'm not expecting big surprise here of course, but we see family typology as great views towards the open rounds and towards the lake. So no big surprises there. But the affordable typology that went on the lake, see, it actually got incredible views towards the open grounds. So we actually found an extremely good trade off here. Just compare how it was in the beginning.

And now, let's have a look here. And of course, the big elephant in the room. When we were iterating, we were not really looking to the shape. We were just discussing strategies. And we can see that option B is not as exciting as the original concept.

So what we have decided was let's export this model in IFC format, and the architects will iterate on it in private. And let's meet again in a week. And that's actually what we have done. So let's just go back, import again, that concept. How do we import? We create a new proposal, we're going to Asset, Import, and I'll choose the revised. Looks great.

Well, to our reference in the world. And here we are. Just see. So we have the right areas just like the targets we had initially. The whole proposition looks way better. It actually became architects. You can see that the family typology is now a little bit smaller. We have more of the affordable ones on the back. Great. Some conditions, see here.

This area remember we had zero. These apartments will be exposed to seven hours of sun. That's really good. Well, no more apartments with zero hours of sun. And of course, we also had to look at the winds.

I mean, we try to just to understand how reliable this was because these wind rose is actually fetched from the closest weather station and realize that it's actually quite accurate. The weather station was closed. And we tried to focus a bit on the flows from West that we saw that were a bit difficult to see. And then actually, you can click directly on a point to see exactly all the wing performance that specific area.

And what we realized was actually maybe by placing some trees in this area, the wind might slow down and create a much better situation internally in the project. And that's it. I'm so proud of this project. Everyone did an awesome work. And I saw the future of real estate development happening in front of me. That's why I was so excited and why I wanted to share this case with you today,

And we came to the end of our class. Thank you so much. I hope you had a lot of fun. I had, and I hope to see you soon. Have a great day.

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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。