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Creating Connected Ecosystems in Autodesk Construction Cloud to Manage Multiproject Frameworks

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说明

Are you struggling to manage multiple projects under a single framework? Do you find it challenging to ensure seamless information exchange and consistency in structuring information? If yes, then this class is for you. Atkins, a design consultant for Dublin and Cork Airports, faced a unique challenge of managing around 50 subprojects per year under a five-year framework. To overcome this challenge, we used Autodesk Construction Cloud to build a connected ecosystem that helps the delivery team manage their single source of truth and exchange information with internal and external stakeholders seamlessly. In this class, you'll learn how we capitalized on Autodesk Construction Cloud to build a scalable ecosystem for managing multiproject frameworks. You'll gain insights into our strategy for structuring information, automating workflows, and ensuring consistency across all projects. Additionally, you'll learn about the benefits of Autodesk Construction Cloud as compared to BIM 360, including improved collaboration, increased efficiency, and reduced risk.

主要学习内容

  • Learn how to implement Autodesk Construction Cloud as the common data environment for large complex airport frameworks.
  • Compare the use of Autodesk Construction Cloud with the use of BIM 360.
  • Create a strategy for structuring information and automating workflows to ensure seamless information exchange using Autodesk Construction Cloud.
  • Learn about using advanced features such as Bridge to improve collaboration between multiple hubs.

讲师

  • Depak Anandabatmanadin
    Depak Anandabatmanadin is an accomplished Information Manager with extensive experience in managing digital information for AEC projects using Building Information Modeling (BIM). With over a decade of experience in the field, Depak has developed a deep understanding of BIM and its implementation to ensure the highest level of quality and compliance in projects. Depak is a Civil Engineer by profession and holds a Masters in Advanced Construction Management from a top institute in India. He has successfully delivered multiple BIM projects to ISO standards, including Dublin Airport, Heathrow Airport, Six Flags Qiddiya theme park, and the East Region Design Service Contract for the National Highways Project. His projects have been certified by BSI Kitemark, highlighting his ability to meet the highest standards of quality and compliance. As the Service Lead Information Management at Atkins, Depak leads a team of highly skilled Information Managers who drive digital delivery across various key projects such as NEOM and the Simandou Mine, the largest iron ore mine in the world. His expertise in Common Data Environments (CDEs) has allowed him to select, implement, and manage CDEs that ensure seamless collaboration and data sharing among project stakeholders. Depak's knowledge of BIM data standards and industry best practices has enabled him to deliver projects on-time and within budget while meeting the needs of clients and other stakeholders. He is passionate about driving digital transformation in the construction industry and has experience implementing digital tools and workflows to streamline project delivery and improve project outcomes. In addition to his expertise in BIM and CDEs, Depak has a keen understanding of emerging technologies such as artificial intelligence, automation, and the Internet of Things (IoT). He identifies opportunities to leverage these tools to drive innovation and optimize project delivery. He is also a frequent speaker at various forums
  • Harikrishnan AK 的头像
    Harikrishnan AK
    Harikrishnan is a civil engineer with a master's in construction management and currently serves as the 5D Service Lead in Atkins' Design Transformation team. With a diverse experience in BIM project delivery spanning design and construction phases for multiple regions, Harikrishnan plays a key role in transforming Atkins' design delivery through the implementation of scalable workflows for data-driven design analytics and 5D Insights. He is instrumental in developing an efficient strategy for the implementation of "5D" across the organization. He is a certified Lean leader, and passionate about innovation, continuous process improvement, and digital transformation. He is equally passionate about bridging the gap between industry and academia through hands-on workshops for BIM enthusiasts, as well as contributing to industry research and publishing technical papers in conferences.
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Transcript

DEPAK ANANDABATMANADIN: Hi, everyone. Thanks for joining this call. We'll be talking today in terms of how we created a connected ecosystem in Autodesk Construction Cloud to manage multiple project frameworks. So myself, Depak Anandabatmanadin, service lead for information management, and I am accompanied with Harikrishnan A K, who is a service lead for 5D.

A quick introduction about ourself, I'm an information manager, with a decade of experience in BIM and information management, working across multiple large scale frameworks, and also working on different regions. I'm a civil engineer by background, and I've done my master's in construction management. This is the first time I'm speaking in Autodesk University. And my area of focus are information management, standardization, data driven design delivery, process improvement, change management. Now I'll ask Hari to introduce himself.

HARIKRISHNAN A K: Thank you, Depak. I'm Harikrishnan. So I'm also a first-time speaker in Autodesk University. I've been with AtkinsRéalis for about four years now. My current role is playing a service lead for 5D and Information Management Analytics. So I have around 10 years of experience in the AEC Industry across various VDC services and practices, across multiple regions in the globe.

I'm a civil engineer by background, but I've done my master's in construction management. And my key areas of focus is trying to drive change through thought leadership, and data is something that I'm really passionate about. And so I've set up some workflows and processes related to data driven design analytics, and how we can bring insights from the models, and how we can improve the process of digital transformation, and also in terms of how we can make the services more scalable.

I'm passionate about lean-- I've also had a certification in lean leadership, which involves me in improving the current process in organization. So quickly going through the learning objectives for today, I'll briefly explain what we'll be learning today in this class.

So the first objective is to understand how the common data environment, like ACC, would help us deploy large complex frameworks, like airport frameworks. And the second thing is how we can create a strategy for structured information and automated workflows to ensure a seamless information exchange, again using ACC. And the next one is trying to explain the advanced features of ACC, which is not available in the common CDEs that we have seen so far. So that is something new that we have found, and it was very valuable that we have applied.

So there is a feature called Bridge, which will help us collaborate between multiple frameworks and multiple stakeholders. And what we'll also been covering is compare the usage of ACC, Autodesk Construction Cloud, with BIM 360. So what are the additional benefits that we are getting out of the ACC? So we'll be capturing that.

In terms of the agenda, I'll quickly brief on the agenda. We will start with explaining what a framework contract is, what is the benefit of that. And we'll give a quick background of the project and then jump on to the goals that we are planning to achieve using framework. And we'll also cover the digital strategy in terms of how we want to deploy the digital implementation. We cover the challenges and the solution for them and then the value addition by implementing this whole process.

So talking about the framework, so since this is a eight year framework project, we just thought we would like to first explain what a framework contract means. So framework is basically a long-term contract which establishes a common terms of conditions for the future service that's going to be offered. So it encompasses a lot of small projects within the framework.

So there may be some other scopes like for example, design stage, construction stage. There can be redevelopment. So there are a lot of activities that happen as part of the framework. So all of those different work packages come under one umbrella of framework.

So the advantage of having a framework contract is, it's more efficient, and it helps us in doing a continuous improvement of the process. And it helps in building the relationships as well between the different stakeholders, and it also allows us to do our manage risk in a much more efficient way.

And quickly providing a project background, so this project name is Dublin Airport Authority. So AtkinsRéalis is the design management consultant or the lead appointed party for the entire framework. And the duration of the framework is five years, but we have got another extension of three years.

And AtkinsRéalis is helping in both the design stage and the construction stage as the lead design party, and it's located in Ireland. So there are two airports, which is part of the framework, both Dublin and Cork Airport. And the project is worth about $2.9 billion, which is a huge project. And they involve both existing assets and the new construction, so the existing assets are something where we are doing improvisation, and there are also some new construction elements that is happening in the site.

And the client is quite tech savvy, and they are open to test new workflows and implement new digital strategies. So we'll be talking more about the digital strategy and how we have implemented in the next upcoming slides. So I'll hand it over to Depak to continue with the presentation.

DEPAK ANANDABATMANADIN: Thanks, Hari. So now we'll be looking at what are the key goals of the framework that we have set initially for ourselves and along with the client. So the first one is the collaboration.

As Hari mentioned this is a large framework encompassing multiple years, and because of the size of the framework, there are going to be a lot of stakeholders that will be involved. So one of the key goal for the client is how we can efficiently collaborate with different stakeholders, how information structuring can happen so that the client can use it for their asset phase of the project, and how consistent the information exchange between different stakeholders can happen, and most importantly, how do we effectively communicate across the framework with all different parties involved.

And as it's a framework, we are looking at standardization because it's going to run for multiple years. So standardization is a key for us to increase efficiency and do savings. And also look at what could be the continuous improvement that can be done throughout the life cycle of the project. So these are the key goals that have set ourself.

To achieve these goals, we have defined the digital strategy. So in terms of digital strategy for the framework, we have done it at two levels. So one is at the framework level. So at the framework level, we defined all the components, which are going to be consistent across the framework. It could be hundreds of, two hundreds of projects that will be there.

At the framework level, we have defined, these are the few aspects that we want to make it consistent, such as, how the whole project will mobilize. What will be the information exchange flow? What will be the standards and methods that we'll follow across the framework? What should be the coordination process that we should follow in all the different projects under this framework? What will be the software and the packages and the versions that we'll be using?

And we also used MS Team for how effectively we can communicate between different stakeholders. We also are looking at CDE, or the common data environment, what would be set up and how it will be worked along with the client. As I mentioned, the asset information management is a key. So we have defined what should be the asset information strategy, how the different structuring of the information, which should be there.

And main aspect, in terms of people, we have defined the roles and responsibilities across framework and for projects. So everybody is aware what each of these roles have to do. And because of continuous improvement, we have also defined the reuse across the framework, where we will be able to reuse different components, reuse design, reuse the whole strategy that we are using across the framework. So these are different components that we have initially strategized that would be common across the framework.

But considering the fact that there will be individual project requirements that will come, so we have also created a project level requirement, which can have specific to the project, such as the BIM uses for the project. What would be the named responsibility matrix?

What should be the volume strategy for the particular project, how clash matrix will be defined for that particular project, some of the survey points and base points for each of the assets that we are going to work on these projects, and finally, looking at the MIDP or the TIDPs, the master information delivery plan, which we'll define what are the deliverables that will be coming as part of this particular project, and what would be the level of detail, and level of development for the particular information that we are creating.

So that's the strategy that we have created at two levels. And we'll be looking at how we implemented it across the framework.

So now the next part that we will talk about is the common data environment. So in terms of common data environment, what it means, what is a common data environment? So common data environment is a centralized information space where different stakeholders work together.

They have access to the information. Everybody gets single source of truth, even it could be a design team or a construction team or anybody in the client or the owner of the project. They'll all be able to have access.

In terms of this particular project, we have different contractual requirements. So you would be able to see there will be a project CDE, which is hosted by the client, the DAA. And there will be individual work in progress CDEs by the design team, which is AtkinsRéalis. So that's how we selected BIM 360 as the CDE.

So in terms of the selection, we started with BIM 360. And as it's shown in the diagram in the left, you see that we have used two different internal CDEs. One is SharePoint site, which is used for non-graphical data. And finally, those non-graphical data will be moved into BIM 360, which will store both graphical and non-graphical data.

The reason behind having this segregation is, in terms of SharePoint, it works better with Office documents, such as your Word, your Excel, your PPDs. And even though BIM 350 supports it, but we felt that SharePoint is more suitable for us in terms of how we collaborate. So that's the reason we have segregated these two information. But because we want to keep everything as one single source, we have moved all our published and shared information into BIM 360, which will be finally shared to the client CDE, which is DAA BIM 360.

In the right, you will be able to see how we have set up our BIM 360 sites. So at the top, you will be able to see that there is a DAA framework. So that's the whole common project that we have created across the whole framework. So this particular folder or the project will have information related to what are the different standards that we'll be using, what are the templates that will be used across the framework. example like, title blocks, your Revit templates, what are the standard guidance provided by the client.

So all these are saved under this particular framework. So everybody across these different projects will be able to access this particular project site, and they'll be able to know what the information requirements are from the client. And based on that, they'll be able to deliver on each of their projects.

And how we have set up the individual projects is, we have followed a naming convention. There will be different work orders, which will be called W01, and then followed by the project number and the project name. And as you can see, there will be multiple projects that will be there. And each of these projects serve a particular task order or a work order where we have been contracted to deliver some of the deliverables as part of the framework. So that's the whole setup in terms of BIM 360 that we have done.

So what are the key challenges that we faced when we did this setup? So as I mentioned, this is a framework, and we have two segregated CDEs. One is from the client end, which is DAA framework CDE. And also, AtkinsRéalis has their own work-in-progress state.

So what we faced is, as we have multiple work orders coming in, in a particular year, we were able to see we have more than 50 projects under this framework. So there is a lot of information exchange that we have to do between our different projects.

And in terms of standardization when we are looking at, there will be information such as templates, your standard title blocks, your Revit families, all saved under the framework level project. But if the team wants to use it, they have to download all this information from the framework level folder and then use it across different projects. So there is a lot of manual effort required to pass this information from one particular project to another.

And also, when we also want to share this information with back to the client, when it is in a published state, so we have to again manually download this information from BIM 360 side of AtkinsRéalis and then upload into the DAA site. So we had a full-time document controller to do all these different downloads and upload.

And also because of the size of the framework and the number of projects we started getting, we saw this is a big bottleneck that we were facing. And that's hampering our collaborative effort in working across the framework. So that's where we were looking for an option, and we went ahead with ACC, or the Autodesk Construction Cloud, as the preferable solution because that was the time when Autodesk released ACC, and we were initially testing out with the client to understand what are the benefits and how it can happen.

So Autodesk Construction Cloud as a software, how it is different from BIM 360. So Autodesk Construction Cloud was able to provide more connected ecosystem across different projects. So what we have decided is, we'll be able to work with the client to understand how we could use ACC rather than BIM 360 as a CDE for this particular project, and how it can help in sharing information between different parties, and work towards more collaborative effort.

So in this process, we defined a migration strategy where we were able to define three key steps. One is defining what would be the strategy for this whole CDE migration, and then doing a pilot testing across internally and also with the client and defining all the process, and finally how do we implement it once all these testings are finalized.

So in terms of the strategy when we defined, we were able to differentiate different projects, as you see. Like when I talked about BIM 360, the same strategy that we followed, there is a framework level ACC created. And there will be project level ACC again created in terms of folder structure.

As you see, this is compliant with ISO 19650. And you will be able to see the resource folders, which is common across all the framework and also individual projects. And you will have information such as WIP shared published archived, which is again common across all these different projects. So one of the key aspects that we want to do as part of this strategy is, how do we ensure some of the information that we get as part of the framework consistently passed on to individual projects? So that was the key strategy that we wanted to formulate.

So now we are going to look at how we have done a connected ecosystem of projects using an option called Bridge. In this example, right now I've opened the framework project. As you can see the folder structure, so you will be able to see different options in the resource, such as templates, frames, which is going to common across all the different projects. So that's why it is saved in the framework folder.

And as you can see in the right, these are indicators which shows this particular project is now linked to different projects across the framework. And the right arrow button, which was showing, was trying to say that the information is going from this project into all other projects. So these are the different projects that has been bridged. So you can see a lot of projects have been whatever under this framework have also been bridged.

And also you will get an information of what files are getting transferred from this particular project to all other projects. So that information log will always be there. You can always come and check it.

So now I'm going to open another file, other project, which is going to be the standalone project. And we will be able to see how this information from the framework is getting passed on to these individual projects. So I'm going to open [? PR ?] 3, which is a individual project in this framework.

The structure of the folder is going to be the same. So we will be able to see an ISO compliant folder here, which is again resource and work-in-progress shared publish. So in terms of the resource, if we go and see templates, we'll be able to see in the indicator an arrow, which is showing to the left now. It means the information is coming from the DAA framework into this. So any kind of information or upgradation of any of these existing file will automatically upgrade this particular file.

So you can see there are two different projects that we have bridged. One is the framework level, which is an internal project. And also, we have bridged the client hub. So we are able to now bridge or share information, not within a particular hub. We are able to do this across multiple hubs. So as an example, this is a particular file that we have been able to bring it from the client system into this particular project. So if we go into outgoing, again, we'll be able to see how much information we are sharing from this particular CDE into the client CDE, and you'll be able to take a log out of this.

So that's about how we are able to enable a connected ecosystem in terms of using Bridge, that we are able to set up automations from our framework level project to individual projects and also how we are able to set up from individual project to another hub in the client system. So this is how the strategy that we have formulated. And the next step is how this whole exchange of information happens.

So we had initially mapped out what are the different software that we'll be using. And as I mentioned, we are using ISO compliant folder structure. So we'll be looking a work-in-progress shared published areas. And in the left, you will be able to see different disciplines, which are part of this project, like drainage, runway, topography.

So these are the different disciplines, and we have mapped what will be the software that will be used across these disciplines, such as Civil 3D, Revit. So these are the different authoring tools that we use. So any information that we first are going to start will always be in the work-in-progress area. And then from there, we'll be able to move that file into the shared space through workflows. So we have used the workflow review options inside ACC to move files from one folder to another.

As you can see in the right hand side, there are different icons that have been mentioned to show how information gets transferred. We have our internal review process, which is called OCRA, originator, checker, reviewer, and authorizer. So based on that, our information gets moved from one folder to other.

So this information exchange, what it denotes is how we are able to manage information across ACC, and finally, how this information once it's in a published state, we have set up this automation through Bridge, which can automate the transfer of information directly into the client system. So we don't need someone manually downloading information from the AtkinsRéalis ACC into client system. So this automation will take care of that. So this improves a lot of efficiency that's a strategy that we have initially formulated.

So now we are going to look at how we have piloted this whole strategy. So the first part, we had to set a project and set the Bridge functionality. So how do we set it?

So we have initially tested out internally, where we have created a test project, and then we have to click on Bridge option in the left pane, where you have to select which project you want to bridge. So this is where if you want to bridge it to a particular framework project within yours, you have to enter the name of the admin of that particular project. Or sometime in this test, we also had tested with client, where we have mentioned the client's email address if required. So that way whoever is going to get this, so they'll be able to set the bridge between these different projects.

So now as a next step, what will happen is, once we enter the name of the individual-- so what happens through ACC is, it will automatically send an email notification to the receiver saying that this particular project is asking for a bridge option. So once they accept the bridge, you'll be able to see the acceptance of the information, and you can set up which project under your framework that you want to accept to.

So this way you are enabling two projects to be bridged. So this is as simple as setting up the whole automation process. So once this is done, we were now able to set up automation to transfer information between multiple projects in this part.

So now once we have set up this process, we also have to look at how information exchange happens between different folders and how it finally goes into the client system. So we have defined, in terms of work-in-progress area, when our file gets created. We set that into a review process.

As I mentioned, we have a four step review process. So each of these steps have to go through a particular reviewer. And based on their acceptance or rejections, it goes into another step. So the file, once it's reviewed, it goes into the shared folder. And if it is once it's approved, it finally moves into the published state.

And once the publish state is done, the file gets automatically bridged to the Dublin ACC account, so that way we don't have to manually inform the client that there is a new file that has been sent. This automation will trigger email notification. But as part of our process, we have also created transmittal so that it becomes a contractual deliverable to the client, informing them that we have submitted our deliverables, and we use transmittal to do the work, which also allows us to set what is the status code for each of these deliverables that we are sending.

So this is how we have piloted initially. And in terms of the implementation part, so we looked at three key points for implementation. One is the people. So we define clearly the roles and responsibilities. So all these are defined in the BIMx solution plan for the framework and for the projects.

So each of the roles and responsibilities define what they have to use, how they have to use this whole process, who is responsible for sharing this information, who's responsible for sharing the transmittal, who's responsible for the whole OKRA process that I mentioned as part of the review. So all these responsibility matrix have been created and have been defined in the BIMx solution plan.

And now in terms of process, we had intensive trainings for our team to understand this whole new process that we implemented through ACC-- how this whole bridge functionality works, how they can share information with the client, what are the different process and tools required for them to do this workflow. And finally, we also define some success factors, such as how we can improve collaboration. We will look at continuous improvement. We will work with the client to understand if there is any issue in the transfer of information, and failure, if it happens, we also record that.

So we have a clear implementation plan that was done to ensure that when we are going to implement this particular process, we were able to track the key success factors and understand whether the implementation going in the right direction or if there is any corrective actions required. So that's in terms of the implementation part.

So now we are going to look at the data analytics part, which Hari is going to talk about.

HARIKRISHNAN A K: Yeah, thanks, Depak. So what we typically do as part of AtkinsRéalis process is, we deploy a bunch of dashboards, which will help us govern or understand the data in a better way and facilitate decision making in terms of, for example, if there is some permissions that needs to be taken care for a particular project, we look at the reports, and we try to see how the permissions are there, who are the users that are using the CDE and things like that.

So as part of the CDE insights dashboard, what we have done in this framework is stepped it up to the next level. So what we have added is-- so this is the CDE dashboard that we have in our organization. So what we have here are some key analytics in terms of some number of files, number of folders, what are the type of files, and how many of them are unique. So we are very much keen to understand if there are any duplicates in terms of the files.

And it's possible that some of the duplicates are accepted if they are sitting in different folder states, for example, work-in-progress are shared, but we would like to highlight and understand, at the first place, whether they are acceptable or not. So in this project, what we have done is we have created this dashboard for all the work orders as a framework as a whole. So what you can see is the ability to filter the data, slice and dice, based on a particular work order for example.

So right now, I have selected work order 11 or work order 21, and you can see the dashboard is showing the data according to that particular selected work order. And what we have also done here is given an ability to filter based on the week. So if the data is based on a particular week, we can do that.

And we also have the ability to select the data based on a particular folder. So here you can see at a particular project within a work order, we can see the folder's structure, which is exactly reflecting from how we see it in the BIM 360. So this dashboard brings up all the data, and it serves it up for every user. So even if they are not part of a particular framework and they would like to know how the other folder structure is available or they would like to organize or navigate to something that is there in the framework, so this dashboard helps them to understand the whole data, and because this is a connected ecosystem, we are able to bring up the data in a more streamlined fashion for all the work orders at one place.

DEPAK ANANDABATMANADIN: Thanks, Hari.

HARIKRISHNAN A K: Over to you, Depak.

DEPAK ANANDABATMANADIN: So now looking at how we have done this implementation, what values we were able to achieve through this exercise was that, the first is we were able to centralize the data through this connected CDE. Now what we are able to do is we are able to consolidate all different project data documents in one common location, which could be a particular project. But this information can then be synced across multiple projects, so that way the data gets seamlessly transferred across multiple projects. So that's what we're calling it as a connected ecosystem.

The second one is, it improves collaboration. Now as you saw, that in terms of how we are working with the client seamlessly, how we are working with our internal stakeholders, different project teams are working together to share information, it's all seamless now. That's how we are able to improve the collaboration between all the stakeholders.

And in terms of the version control, any updates that happens to any file in the framework level, it could be a template, as an example, it could be a Revit template that from version 1, now it's a version 2 template. So that information gets passed down to all different projects, which have been connected, so that way we don't have to manually inform each of the team that there is a new template that have come, you should use that.

Now the system will allow it to get everybody informed that there is a new update. And based on that, the team will be able to use the latest version. So always the latest version is what every team will use, and the confidence is what we are able to bring.

And also it enhances the communication by facilitating effective communication through [? addition ?] threads, such as, like, we use different platforms like SharePoint, Teams. We also use the issue functionality within ACC, where we are able to communicate effectively. All the different stakeholders, in the design and also in the construction phase, they were able to understand these RFIs, these issues, and everything is tracked and audited within ACC, so that way we are able to enhance this communication.

We are also able to get value in terms of data security now, because there will be a strong security measures and access restrictions available across all the different folders, all different projects, so that way, as it's a sensitive project, as an airport project, so we have to ensure that all these safety measures are in place, and ACC allows us to create these different permission levels, and that way we are able to manage the security restrictions.

It also helps in reducing the risk, because with the centralized data now and connected seamlessly across different projects not just within our design team but also with the client, we are able to reduce the risk of using old information or using an error that is going to happen to manually download and upload information. So all these risks have been mitigated or reduced in this current workflow.

And we are able to now save a lot of time and money because initially, as I mentioned, when we use BIM 360, we had a dedicated resource to upload and download information from the client system to our system. And also whenever there is going to be any change, they have to be manually told to all the teams through an email or to SharePoint site, where we inform every team that there is a new update that is happening. But with the new connected ecosystem, we are able to automate all these different notification, the information exchange, so that way we are able to save a lot of money and also time through this process.

This process also allows for efficient workflows. As I mentioned, we used approval workflows across the project, which allows us to transfer information from one state to another, and that way we are able to track each of the information, which goes to the client, have been reviewed, approved, and checked before it's sent to the client.

This system, as I mentioned, we are already crossed more than 50 projects in this framework within a year. So this whole system is done once as a strategy and implemented. And now this can be scalable across any number of projects, across the whole life cycle of the framework, so that way it's a very scalable solution. So these are the main values that we are able to achieve through this effort.

So where are we headed now with this strategy? So now we are able to use the same strategy across multiple large-scale frameworks. As an example, the strategy we have currently using it across different airports frameworks such as Heathrow, as an example, and other large-scale frameworks, where we are able to replicate similar strategy across these frameworks.

And what else we were able to achieve is-- able to show the client and demonstrate the ability of using a more collaborative platform using these connected workflows, so that way the client will be able to simplify the whole information management process, if they adopt ACC as a CDE. So we are able to show these values and able to bring all the different stakeholders of a project to a connected ecosystem, so that way we are able to achieve a lot of efficiency in information management processes.

So that's the whole key takeaways from our project. And thank you, everyone, for joining this class and hope to see you all later.

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第三方服务

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

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绝对必要 – 我们的网站正常运行并为您提供服务所必需的

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

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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。