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Digital Transformation into action:Saipem Platform for AWP

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说明

Learn more about how Saipem has been working to create integrations that support Advanced Work Packaging implementations at any scale, realizing the “new possible”. Advanced Work Packaging methodology supports the work on an EPC project, from initial planning throughout detail design to construction execution; such methodology encompasses the overall process flow of all the detailed work packages (construction, engineering and installation). Saipem will give practical examples of their AWP implementation and how they have used Autodesk Forge development platform to solve their challenges. This session will show how a data-centric solution can integrate data coming from a variety of legacy systems, presenting opportunities never experienced before to the users. With this new solution they have access to a large variety of data from a single source of truth and the ability to access information from different point of views.

主要学习内容

  • Identify the importance of bringing data at the center to realize the new possible
  • Envision improvements for your daily activities, with a session intended to give you “food for thoughts”
  • Integrate legacy systems in a single platform
  • Implement Advanced Work Packaging in your business

讲师

  • Stefano Cartocci 的头像
    Stefano Cartocci
    For more than 20 years, I worked in Oil & Gas Industry following the use and development of Engineering software, starting as a CAD user and now as worldwide coordinator for Business Application and Italy IT Coordinator at Saipem Offshore Engineering & Construction Division. During the last, six years joined the IT Department as project and program manager for IT innovation projects. Currently i 'm also involved in Digital Transformation program as IT Coordinator for the Division and Digital Office Lead in smartworking project. During my career i was able to prove my best capabilities and able to succeed in reaching all the project targets showing strong skill set especially for team working and decision-making.
  • Luca Bazzocchi 的头像
    Luca Bazzocchi
    Consulting Services Senior Manager and proud Autodesker since 2008! Team leader, always excited to meet dynamic and creative thinkers, I am enthusiastic about shaping innovative solutions. I received his Computer Science bachelor's degree from University of Genova, Italy. Also started to work with Forge in the early days, and have been working with the platform for the past 7 years.
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Transcript

STEFANO CARTOCCI: Good afternoon, and good to be here to Autodesk University to everybody. I'm Stefano Cartocci from Saipem Engineering and Construction OFFShore in Italy. And I'm here with my friend Luca from Autodesk. We are here to introduce you to our integrated solution for the adoption of advanced work packaging methodology.

Just hear the agenda of this panel. First of all, we will have a brief introduction on our speaker's bio. Then we will have an establishment moment, where I will bore you with an overview of what Saipem is, what its business is, and Saipem approach to digital transformation. Then we will get you to the point, right to the point, by showing you our solution, and finally, how will we see the future in front of us. And let me say, we'll give you some suggestion.

A brief introduction identifying the key objective of our introversion. First of all, we would like to underline the key role of data-centric approach and the democratization of data. And it is the importance of allowing everyone involved in business process to have the so-called single source of truth.

I know that you have already listened. This is a buzzword, the single source of truth. But it is really what is really meaningful in a data platform, meaning that having this single source of truth always you have access to the greatest and latest data and allowing what is really a data driven decision.

Then we want to add light to the integration that we have done to the legacy system, already news, and the introduction of a collaboratory platform that is based upon everything, allowing a data driven approach to the decision making process for our managers. Then we will show you a possible approach to the advanced work packaging, or at least how Saipem has intended a collaborative platform for AWP.

At the end, we would like to share our experience in the hope of providing you with insights for the development of your own process and the solution of your own problems. We want to think that at this panel would be the starting point for your brainstorming session on this focus.

But now let us introduce ourselves. My name, as I told you, is Stefano Cartocci. And I've been part of Saipem for about 17 years. And at the beginning, I was part of the engineering department as a 3D modeler. And then I moved to the IT department, where today I hold the position of Data Management and Application Management for the OFFShore E&C division. Luca, if you want to introduce yourself.

LUCA BAZZOCCHI: Thank you very much, Stefano. Hi, all. First of all, let me welcome all of you at this AU class. My name is Luca Bazzocchi. And I am a proud Autodesker since 2008 working in a global consulting delivery practice and covering the role of Consulting Service Manager and Principal Solution Architect.

My main goal is to support our customer during their digital transformation journey. And Saipem is an Autodesk customer I've been working with since 2015, so for almost half my Autodesk life. Today I'm here to co-present this session with Stefano and to introduce you to the Saipem Advanced Work Packaging platform. We worked together in the past few months.

STEFANO CARTOCCI: So now we can have the instructional moment. And we could also introduce Saipem. Who is Saipem? Saipem is a global solution provider. At Saipem, we are present in more than 70 countries with more than 35,000 employees, and we cover from almost 122 different nationalities with our employees.

Saipem is leader in engineering and drilling activities and in the completion of great projects in the energy infrastructure sector. Saipem is competitive with a distinctive skill, competence, and high tech asset. And it is capable of identifying and developing multiple solutions. Saipem is organized, basically, in five different divisions, each one focused on specific market segments and specific business.

As you can see also from the slide, we have the XSIGHT, which is the project definition services. Then we have the two divisions that are focused on engineering and construction, the offshore engineering construction and onshore engineering construction, and then, at the same way, the two drilling divisions.

In Saipem, I am part of the offshore division. And we are focused, basically, on delivering great projects above and under the sea. From the conventional activities such as you can imagine in a PCI project, the four platforms, we are now moving to the green industry. So we are developing some installation in for the [INAUDIBLE] turbine in the sea.

And then we are also proud to our new sectors, our new market that is the development of highly innovative ROV for maintenance and management of sub-sea field. The ROV, it is basically a little submarine that is driven from a remote position.

As a contractor, we base our job basically on project. And for this reason, we have, as always, a lot of problems because we have a project from our client, and then so we have to be strongly compliant with the client needs. We need to follow the specification. We need to follow the rules. But in the same time, we are trying to perform at the best our project as we are used to do, so following our own methodology and our own standards.

So we have to keep the balance between these two things. So we have to keep the scales in balance. And to do these things, what we typically do is we rely on three basic pillars. The strategic pillar for us are sustainable business, health and safety for our employees, and innovation. We strongly believe that innovation will help us in facing these problems and in upgrading at the best our project execution.

For this reason, we find in a moment where we have to start what we call a journey to digital transformation. This journey started in 2019 with larger backscatter initiative typically related to single process and without an orchestration, without a holistic view on the problem, without let me say, something that was on the top that can manage this. And typically, there are few resources purely dedicated to this digital transformation.

At this point, the Saipem have a strong ambition and decide to move in a different way, define to move in a better way, let me say, and define and decide to define a clear digital roadmap, decide to identify key technology, and especially to speed up cultural change.

Probably cultural change is the fundamental step that all the company has to face, speaking of a digital transformation. And it's also a point where a company has to be really, really focused, especially the incumbent company that have great difficulty in to start the cultural change, in changing their point of view, their way of working. And for this reason, the possibility to have an external partner that could help both in methodology and technology definition, it is really important.

In 2020, we decided to move from a scatter initiative, from a journey to a real digital transformation program. This digital transformation program was composed by several clusters of activities focused on different areas of the company. And among those activities, there is one which is the so-called EPC integration model that is really focused on project development, on solving the problem that we typically have with our client in our projects.

So basically, we want to create a simple and unique place where integrating the existing digital tools that we already have and developing the missing pieces to achieve a cross divisional. We are in division. We are splitted, in fact, in division. So we need something to be really holistic and to be really on top of everything to achieve cross divisional business benefit.

This benefit could be an improved collaboration during the project execution, cost reduction, and minimize the errors, and maximize the efficiency and especially a new way of working with the real time monitoring.

Beside the digital transformation journey, or we can consider also a sort of spin off to it, Saipem decided to invest in development of AWP methodology to focus on maintain a construction based approach to keep the management of the supply chain and to have the management of the construction activity, a better management of the construction activity, also have the possibility to take advantage of a 3D and 4D dimensional simulation for the project itself.

Knowing that the interest of the APC industry and oil and gas especially toward the AWP methodology, it is really increasing. And some experts told us that there is the possibility to increase in productivity of 25% and 10% in cost reduction data. I'm speaking about billions. It is a huge amount of money.

So at this point, we have a strategy, we have a methodology, and then what? What do we need more than this? We could easily say that now you need only the technology. You need only the tool. You need only the software to do this, to put everything on this software, and you can start and do this.

Anyone of you that are involved in digital transformation activities in developing or implementing a solution in an incumbent or in a big company knows that is not so easy and especially knows that is not everything about technology. And I have what I called my sensei, which is the head of the APC integration department, Mr. Luca Ursini, that usually said something to us, which is basically this. Don't wait for the technology to come to you.

Luca means that even the coolest technology cannot solve your problem without the human integration, without the human user of this technology, without the human element. A technology must be contextualized within the current business cases and be usable by end user. A technology must help and facilitate as many people as possible.

And with this data in mind, we decided to move to agile methodology for the developing, and we use a multidisciplinary team that was not all only related to digitalization and IT, but also with the business users.

How we want to develop this tool, how we want to develop this solution, we create this solution, we design this solution based on three main layers. This is a schematic, and things are really, really much more complex than this. But we can focus, for example, on the first layers. The first is the integration layer. It is the integration with all our legacy system, the systems that we normally use and effectively use during the development of our project.

For example, we can see that we have a Primavera P6 for the scheduling department. We have an ERP. We have SAP. We have all our engineering systems, and especially we have the 3D model. 3D model typically are imposed by our client. It is not a software by our choice. So we have a portfolio of two, three capability in different 3D modeling software.

And so we have the need to integrate all this type. We need to have the possibility to be seamless in the using of 3D model tools. Then what we have, document management system. We have a document management system to be integrated for sure. Then we have the fabrication and completion systems.

But then, as always, there are other sources, our scattered sources, our unstructured sources, and then, for sure, Excel files. Excel advice cannot be avoided for sure. So basically, integrating instead of replacing these tools in a much bigger solution gives us savings in money, savings in time, and also help us to accelerate the time to market towards our internet client.

The middle layer represents-- and me, as Data Manager, are really proud of this-- represents the real heart of the solution. And it is the data platform. Here in the data platform, we have the storage of the data. Data have to pass several quality checks and then have to be aggregated for different use cases and prepare for the top layer.

The top layer, it is the collaboration and visualization layer, where data are analyzed and become the most important bricks for the creation of a real data driven decision making process. Here in the collaboration layer, we have also the possibility of 3D and 4D visualization. We have simulation, and we are sure that all these simulation of this analysis rely on a data platform, on a data that is, let me say, compliant with all the quality that we need.

So fundamental in all this integration that we have done in our integration approach was the help of Autodesk. And I leave Luca to present the consulting services that very much help us in this.

LUCA BAZZOCCHI: Thank you, Stefano. Here we are. Let's now have a look at the Autodesk consulting transformation services. After working on many, many transformational initiatives, we have become a trusted advisor for the market leading companies, such as Saipem.

We are helping them break boundaries between the design and make process across converging industries and even within their own organization to deliver real meaningful changes. It is this relationship that inspired transformation services, which can be seen as a faster, easier, and more flexible way to get access to the full breadth of our consulting.

So let's see a little bit more in details what those services are meant to be. Instead of focusing on individual unconnected projects, we have found that more valuable relationship will focus on their sum. What does it mean? That means that we have seen that the wind technology is approached programmatically, such as an initiative. It has the power to drive the cultural and organizational shifts needed for successful transformation.

And on top of this, there are few characteristics that these relationships tend to have. And those are holistic, agile, and innovative. Let me stop here just one second. We have heard already during this presentation Stefano mentioned those terms. This is extremely important because this is a proof that Autodesk and Saipem's strategy are aligned, which is a key to success.

Having said that, let's understand what we mean. While the typical project relationships are focused on a single technology solution, transformational relationships take a more holistic approach. We focus on business goals, rather than on technology only. So technology, as Stefano said, it's a key. It's important. We cannot forget or decouple completely from technology.

But the starting point, the driver, is not the technology, are the business goal, the company strategies, and so on. While the project relationship are focused on fixed scope and specifications, transformational services are much more agile than that. We know that everything can change on a dime, corporate strategy, economics, project requirements.

We have experienced these in the past couple of years. Our way of working, our way of living completely changed. And we need to be ready to adapt ourselves to those changes and to adopt them as well. That is why an agile approach is much more productive and will bring us to more results than something which is a little bit more static.

And last but not least, the latter characteristic is the innovation. Probably if I ask you what do you mean by innovation, each one of you will give me a slightly different answer. I can tell you that to me, innovation means-- innovating means challenging the status quo of things, means thinking out of the box with the aim to fulfill our and our customers' goals in the best way possible.

And the next slide will represent a poster with a list of those transformational services that we, as Autodesk consulting, are delivering. Transformational services are mainly made by advisory and implementation services.

We can see and think to advisory as all that is a kind of assessment study, feasibility studies, or proof of concept, validation of the plans, assessment of the to be status, and identifying the to be status of your roadmap and of your environment, while the implementation services are more the practical side of things, where we go in action and apply everything that we found out in the advisory and developer solution, or configure things, or provide training, and so on. With that, Stefano, let's back to you.

STEFANO CARTOCCI: Thanks. So let's start with an overview of the solution. So the solution has to work together with the methodology and to increase our capability of integrated planning of the project phases, taking care, for example, for materials for drawing data and the link between, then has to give us the possibility of managing the construction work front by connecting later with the supply chain.

So we need where are materials, where are drawings, if we have it on the yard or not, and giving it to managers the real time visibility and forecasting to allow decision making activities. Then what we have to do is to improve our construction monitoring during the execution phase. All this could be possible because we are using a common and reliable data platform. So now Luca will go deep into some aspect of this solution.

LUCA BAZZOCCHI: Absolutely. So let me set up the scene upfront. So the solution we present, and the videos you will see assumes that the AWP structure is already in place. But most of all, what we are going to see is based on a real project and uses real data. That's true, even if in one cases, and I will underline it, we had to manipulate a little bit data to create a specific use case for demo purposes only.

As an anticipation on what you are going to see, with this solution, we want to support the team within an integrated planning along all and any project phase, giving the possibility to assess the detailed set of data, depending by what each user is really interested to analyze and to dive into.

The main benefits we expected from these are the increased consistency in work package definition, the reduce in misalignment in EPC planning, and improve execution.

So we are going now to see a short video. But before starting it, just with a second's difference, sorry, just to think at this light that Stefano presented a few minutes ago. When you see the three layers that are composing our solution.

At this stage, we are moving from the integration layer up to the collaboration one, where information coming from the data lake are presented in a complete dashboard that integrates Power BI dashboards, 3D models stored in 360, and all the data coming from the legacy system Stefano mentioned upfront.

We will start having a quick look at the solution it looks like. On the right side, we do have Power BI dashboard. It can be any business intelligence tool. But we are using, in this case, Power BI. And on the left, we have the 3D model alluded in the [INAUDIBLE]. As you can see, we have initially only a pipeline system. But you can load multiple model.

We decided to organize model by discipline, so that the user can see a unique model, which is an aggregation of, in this case, the three models containing pipeline, structure, and other elements. As you can see, everything is themed accordingly to the donut in the middle in Power BI. On the left, we also have a Gantt, where we can see all the status of the CWPs that still aligned with all the data coming from Power BI.

Filtering, by CWP, we can see everything changing and updating. So the driver of the solution are the data that we see in the Power BI dashboard. We filter by [INAUDIBLE] packages. We have specific results on the left side of the solution. Moreover, everything is fully integrated, so clicking on the box in the Gantt will focus on elements in the model accordingly.

We move now to the second tab of the Power BI dashboard. We were on the AWP progress before. Now we are in the CWP overview. And so we have to focus on the first donuts on the left in the dashboard. As you can see, what's more, everything is fully aligned to what we see in the dashboard. We have in progress elements and not available elements. And that's exactly what we see in the model. And as we will see shortly in the Gantt as well.

As I said, everything is fully integrated. What does it mean? That any action you perform in one area, in one portion of your solution, has an effect on the other part. So if we select a not feasible elements, again, we only see a theme, not feasible elements in the model. And we see only then not feasible CWP in the Gantt, same thing if we click Main Progress. Let's now go back to see both elements.

And one important thing is that we can see here the construction working package, but below them, we have another object, which are called smart objects. What are those smart objects or SMOs? Saipem had the need to introduce a new dimension, a dimension below the CWP as the packaging of materials, including the tagging, the coding, and the full visibility of the relevant supply chain. That is not defined in the AWP, but it's extremely important.

Here now, we are seeing the 4D simulation that Stefano mentioned earlier on. So we see now week by week the progress on the construction site. And here are the data that we manipulated, as I anticipated. As you can see, you can view that there are structures that have not been erected while the pipelines that they are supposed to hold are already completed.

And the last functionalities that we want to show you in this video is the side by side for the animation comparison. This is very important because you can make a real comparison on the 4D visualization for the animation of two different plans, the one on the left, which is the baseline, and the one on the right, which, in this case is the actual. More than this can be done because we can also upload different what-if scenario.

Next slide, Stefano. This is the video we already saw. Thank you. In this slide, we are focusing on the second set of capabilities of the solution that we want to underline today. Those capabilities focus on the advanced status visibility of materials as the result of very complex logic applied by the work front analysis.

Work front analysis is a predictive analysis based on material availability related to the construction scaling, so material and plan. This is the key. With such capability, the solution allows the possibility to intercept potential issues related to materials, planning, and preparation.

We can now highlight the benefits that we expect, as we did before. Here, again, we expect a reduce of disruption and improvement in information visibility, of construction visibility, and the reduction time and effort required in root cause analysis.

We have now another video to present you with this second set of capabilities, which-- here we are-- which are focusing on the Workfront analysis and materials. We are now in the third tab, so the WFA materials. All the functionality we have seen before are still valid here. We are just only focusing on a different set of data, those that are coming from the Workfront analysis calculation.

So we see the model, as we saw before, themed accordingly. What we see different in this case, also in the Gantt, is that the bar R can have multicolors. That's why because below the smart object, we are introduced to another level of details, which is the material.

And for each material, we have different levels of availability. They can be available, or later, or even not yet ordered. In this case, the bars represent a multi course because they want to show us not all the materials are available for that specific smart object for that specific construction work package. All views are still driven by the data in Power BI. In this case, we selected something that is late.

And as you can see, all the Gantt information, now you know already about the 3D model, only show the data of not available material for that specific CWP that we have selected. Good. Going back, there are a few other things to discuss. And again, one is, again, the possibility to analyze different scenarios.

This time it's not based on the data coming from [INAUDIBLE], but the data that are gained in the result of the analysis. So we have the best case and conservative scenario for the waterfront analysis. And selecting one of the two, we have a different presentation of data.

I hope really that this was of interest for you and help understanding how Saipem and which steps Saipem took in fixing their digital transformation journey towards the adoption of advanced work packaging. And with that, I will hand over again to Stefano for our final thoughts.

STEFANO CARTOCCI: Thank you, Luca, great as always. And so our final thoughts, our final thoughts are that despite the COVID implication that forced us to a total remote collaboration and development, and after a couple of months of users, some business testing, and the platform has provided to be solid and user-friendly, and that this will allow us to schedule production for September 2021.

Moreover, we are working on a continuous improvement. We are adding pieces, even with the help of Autodesk. And what we need to create, to implement new cases, new use cases, to add the potential integration, and we hope to present you live at the AU 2022. Now we are at the end of this phase of the project, and there is only one or two things that we want to suggest to you.

This is something that in our idea it is mandatory when we implement a solution like this, which are, one, it is the strong commitment and a cultural change. We need to be really committed. We need that the business users and the management are really committed on this. And

Then what we can tell you is that also a solid partnership with trusted advisor are needed to support this journey to implement these things. So now, let me thank you for the attention, and let me tell you, thank you again. Luca.

LUCA BAZZOCCHI: Thanks a lot for your participation. Stay safe, and really, I hope to see you soon in person. Thanks a lot.

STEFANO CARTOCCI: Goodbye.

LUCA BAZZOCCHI: Bye.

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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

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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。