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Integrating Autodesk Construction Cloud Cost Management with ERP

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说明

This session will look at the challenges of integrating Autodesk Construction Cloud Cost Management software into a customized SAP S/4HANA system. Nothing about the process is straightforward, which makes it interesting and challenging. But successful implementation can bring enormous value to the users and the organization. We've gone through painful iterations, navigated numerous issues, faced setbacks, and crashed the test system a few times. Finally, we have it—and now, we see more opportunities.

主要学习内容

  • Learn about the choice behind the Autodesk Construction Cloud to SAP Integration. What are the solutions we have explored? What works? What doesn't?
  • Learn about the requirements, the challenges, and the solution, from contract creation to processing payment.
  • Learn how to prepare the users to adopt the system.

讲师

  • Kyle Ewe Tuck Khuen
    He brings with him over 20 years of hands-on IT experience and digital innovations. Started his career in the 90s as a programmer, broadcast engineer, a 3D animator and a special effects engineer before moving into construction industry by joining a QS consultant firm which later became part of Arcadis Asia. Here he led a team of software engineers, data scientist and IT engineers in building platforms and tools for the business. Today, he is the Digital Lead for Gamuda Engineering's Contract and Commercial department; leading a team of passionate software engineers and QS digital engineers.
  • Ngu Pei Jie
    I am a digital engineer in Gamuda that focus on the developing the technical part of the Integration Between ACC Cost Management and ERP System. I had the opportunity to worked with different party from various fields during the development to streamline the operations and improve the overall efficiency with this integration between the two systems. I love solving problem and finding ways to optimize the performance during the development.
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Transcript

KYLE EWE: Hi, all. Welcome to AU 2024. Before we start, let's go through the safe harbor statement. This is to ensure you guys understand the expectations.

Well, let's get this going. Today's topic is on integrating ACC cost management with ERP. Make sure you guys are in the correct class, which is CS1108. We will start with a bit of intro on who we are. First, I'm Kyle Ewe. I'm the digital lead for Gamuda, focusing mainly on digitalization for the contracts and commercial side. With me, we have Pei Jie, our software engineer who is the one working on ACC ERP automation. Also with us, Mei Mei. She is our senior QS digital engineer in charge of this project. And we are all from Gamuda under the G-E-T, or "GET," which is Gamuda Excellence Transformation Team.

We will not go through too much on who we are here. But an overview-- Gamuda is an engineering property and infra company, and we are one of the largest infra companies in Malaysia. Do refer to the handouts for more details about us.

Let's start. Today, we will be looking at three main sections. First is on explore, where we look at how we find the right tools and resources. Next, Mei Mei will talk about the transformation journey. And finally, Pei Jie will talk about the build, where we develop, test, and deploy our solutions.

Explore-- well, before we start, let me ask this. Anyone here is using ACC cost management? Next, anyone here has started ACC cost management with ERP integrations? First, we thought it is going to be quite straightforward work. We started with a few proposed options, option A to D, just to ensure we always have some backup plans. We were also looking for external resources who has done this before within the construction industry to help us out.

Well, our journey is not smooth as one thought. Suddenly, we are banging on multiple walls. We came to realize our ERP system has been heavily customized, especially with all those custom forms and tables. You see, before we started ACC to ERP, our ERP was used directly to manage our construction projects.

This is where we have to customize the ERP to do IPA, which is Interim Payment Application, and IPC, which is Interim Payment Certificate, especially when we are dealing with projects in this region, Asia-Pacific side. But then we face a lot of issues, like how we can retain our PQ information, our subcontracts, and also to be able to do BIM fully.

This is where we see the ERP system is good in certain things, but not here. We are losing a lot of data, and we are unable to manage them properly. And we try to integrate with ACC cost management here especially. With all these custom ERP, we realized our options are running out. As you can see, we are left out with option C and D.

Fortunately, we have something that works. We were so happy when we first saw the data got through using the OPA, which is On-Prem Agent from ACC Connect. So it was amazing when we saw that ACC Connect actually works here for us. This is when we form a bigger team and also engage a few consultants to see whether they can do this solution or not, especially using ACC Connect.

Well, we finally gotten a consultant who has some experience in the construction industry and ACC Connect. Not easy to find, I think everyone knows. As you can see, we are using on-prem agents under the ACC Connect. We work with the consultant to come up with a bit more details on the phases we need to develop. This one, payment posting. That's a bit of a dilemma here, which I'll talk about it later.

Basically, for payment posting, we need to post the approved payment from ACC to the ERP. Phase two, contract creations. This is where we create those contracts which is PO, or Purchase Order, ERP. Now, if you look carefully, you may start to ask, shouldn't you do contract creation first, then only payment posting?

So this is what I'm referring to. The reason is contracts and PO are already created in both system in all our running projects. That's where we need to prioritize and need to focus on posting first, and only we come back on the contracts later. After we have phase one and phase two completed, we focus on phase three, which is indirect costs syncing from ERP to ACC.

And finally, syncing the master data between the two systems on phase four. You see the choices we made for all these spaces are mainly because we have ongoing projects running, and we critically need them to be on board. Next, I will pass this to Mei Mei to talk more about our transformation journey. Over to you, Mei Mei.

MEI MEI: Thanks, Kyle. I'm Mei Mei, and my role is to bridge the ACC cost management uses, mainly the contract and commercial teams and the software development team, to ensure the seamless communication and collaboration between them. I'm here excited to walk you through the transformation of our payment process.

Let's begin by taking a quick look at the entire payment process as it existed before we integrated ACC cost management with our ERP systems. The process start with creating the subcontract and preparing the billing information within ACC cost management. After the billing information is prepared, it go through approval process in ACC. Once it's approved, the contract admin requires to download the payment files. From ACC, attach the payment files to an email and send it to our finance executive.

The payment data has to be manually entered into our ERP system by our finance executive as well. And finally, the payment can be processed in the ERP system. Is there a payment process similar to this? While this process does get the job done, but let's look into step 3, 4, and 5.

This menu steps downloading file, sending emails and entering data were clear bottleneck in our process, leading to inefficiencies and increasing the risk of errors. The manual download of files increases the risk of misplaced or incorrect data. Manually sending files via email, relying on individuals to correctly handle and distribute the files and payment data.

The manual data entry process is perhaps the most error-prone and tedious step. After the integration, the previously manual tasks, like downloading payment files, emailing, and inputting data into the ERP system, are now automated through ACC Connect.

The result, as you can see in the deck-- a more streamlined, efficient, and accurate payment process after the integration. By automating these manual steps, we freed up valuable time for our team to focus on more strategic tasks, reduce the risk of errors, and speed up the overall payment cycle. Transforming our payment process wasn't an overnight task. It was a well-planned and executed project.

Next, let me walk you through the four key phases in our transformation journey. We started with user requirement studies, feasibility studies, and business impact assessment. We also consider audit requirements when we were defining the project scope and specifications. This phase was crucial for understanding the needs and setting the clear direction for the whole team. And we decided to divide the integration project into four phases, as Kyle explained just now, based on the study we conducted.

Next, we developed a business blueprint and revised it multiple times to ensure all the milestones and phases were accounted for. We also defined and planned key activities, including SIT, UAT, and deployment for each of the phases to ensure timely project delivery.

In the data mapping and recipe development phase, we dedicated a significant portion of our time to ensure seamless data integration. This involves mapping over 120 contract elements and more than 230 payment elements to ensure accurate data flow between these two systems. Each element was carefully analyzed to identify how it would interact with other components in the system and the workflow. We also develop ETL recipes to automate data extraction/transformation into require format and loading it into the target systems, which is our ERP system.

Additionally, condition recipe were also created to handle exceptions and complex real-world use cases, especially in this construction industry. This meticulous mapping and recipe development were very crucial for minimizing errors and enhancing the efficiency of the entire payment process.

Finally, during the test and deploy phase, we executed over 20 test scenarios and activities, including comprehensive SIT and internal UAT. This rigorous testing ensure that this system was robust and ready for successful deployment. The result of our integration are evidenced in the significant performance improvement achieved.

We have increased overall process efficiency by around 20%, streamlining the workflow and reducing the number of steps, which also minimize delays. Time savings were substantial, with a 70% reduction in time-consuming manual tasks thanks to automation. Data accuracy improved by more than 85%, as the automation of data transfer between systems reduces the human error associated with all the manual data entry works.

While we achieved significant improvement in process efficiency, time savings, and data accuracy, these successes didn't come without their challenges. Now let's turn our attention to the challenges that we faced during the development phase. PJ will discuss the obstacle we face and encounter and strategy we employed to overcome them. Pass it to PJ.

PEI JIE NGU: Thanks, Mei Mei. Hi, everyone. I'm PJ. I'm a software developer, mainly focusing on developing the integration between cost management and the ERP system.

For this section, I will share with you about the development and the challenges of the integration. As mentioned previously, there are four phases, but today, we are going to focus on two main phases only, which is payment posting and contract creation. This is how the whole process looks like if we combine both payment posting and contract creation. I'll explain both phases in details later.

Now want to share with you about the payment posting process. First, user will create payment and go through the approval workflow in the Cost Management. Once the payment has been set as proof, ACC Connect will be doing its job in terms of extract, transform, map, and load data. After that, ACC Connect will check if there's any change management in the payment. If yes, it will proceed to process the change management and map it accordingly. If there is any version order or they were attached in the payment, it will proceed to process it and increase the contract commitment in the ERP system.

From there, if there is no variation order or [INAUDIBLE], it will proceed to post the payment along with the other type of change management, such as advance payment, debit/credit note, and a few other types. If the payment is successfully created in the system, user will be able to see the log status along with the payment number generated by the ERP system in the cost management screen. If fail, user will need to make necessary changes to the payment based on the error message.

The next process flow that will share is the second phase of the integration, which is the contract creation. As you can see, there's a series of process that will contribute to the contract creation. First, user will need to create contract in Cost Management. Once the contract status has been set to executed, ACC Connect will proceed to extract and process the Cost Management data. After that, we map all the data to its respective field in the ERP system, and ACC Connect will post the contract data into the ERP system.

The ERP system will then process and validate all the data and return the result. If the ERP system failed to create contract, user will be able to see that it has a failed status in Cost Management, and they will need to do necessary amendments to the contract. If ERP system returns success, the user will be able to see the integrated status along with the number generated by the ERP system.

Here are the two snippets of the integration status. The third snippet shows that the integration process has been success, and the bottom snippet shows that the integration has failed.

Next, we have two main recipes with multiple functions. On the left, we have the payment posting, and on the right, we have the contract creation posting recipe. Of course, this snippet does not show the whole recipe that we did. This is just a small part of it only. Do you think it's easy to integrate both systems? In our case, it's not easy to integrate these two systems, and I'll explain to you why.

There are three main challenges that we face during this integration. The first is the customization of our ERP system. The second is the collaboration between different disciplines. And lastly, how to ensure the accuracy and the consistency of the data. I will now deep dive into each of the challenges and explain with you what is it about and what are the solutions for each of the challenges that we face.

So the ERP system that we have for our organization is actually customized based on our needs. This makes it more challenging to integrate both systems. So for those who want to integrate Cost Management and the ERP system, make sure you don't have too much customization on your ERP system. If possible, don't customize your ERP system at all.

For our ERP system, we use a custom form and table, which is an extra layer that keeps all the data before it actually goes into the actual fields in the system. What we did was we identified all the fields in the different tables from the ERP and map it with the Cost Management data.

Then we have mapping issue. When we thought we could just take all the data and just push it into the system-- no, it's not that easy. It's like comparing apples and oranges because certain fields in the ERP system requires formula to calculate the amount before we can actually map the data into the field accordingly.

We solve all this by listing down all the necessary formulas and indicators as well as perform calculations with the Cost Management data using ACC Connect before we pass it into the ERP system. For example, since we have different texts for different country. Our ERP system has a set of indicators which we will need to provide to the system when the integration happens. In this case, we will need to set up the indicators in our Cost Management so that the ACC Connect will be able to extract the indicators out.

We also faced processing issues such as pushing the data into the ERP system, but the ERP system does not show the correct data in the field. Let me give you one example. We mapped retention amount into the ERP system, but the value doesn't show correctly due to the mapping issue between the display table and the actual tables in the ERP system. Then we raise this issue to our ERP team, and they resolve the issue for us very quickly so that we can continue with the development.

The second challenges are collaboration between different disciplines. Since we have different people from different disciplines, we will need to understand how both system works as well as the terminology used by every discipline. For example, in cost management, we call it contract or subcontract. But in our ERP system, it is known as PO, Purchase Order.

Every discipline involved in the integration needs to be on the same page, as we outlined all the methods to retrieve all the data needed from the Course Management data-- from the Cost Management to the ERP system. Other than that, we also need to align all the variables, process flow, validation, and formula of the ERP system so that we can identify what we need to do with the Cost Management data before the integration happens.

After aligning everything, we verify the logic by pushing all the data into the ERP system for testing purposes. Sometimes, the result is not what we expected it to be, so we have to resolve the problem by fixing and continue building the logic until every party reached an agreement.

Lastly, the last challenge is how to ensure the accuracy and the consistency of the data when integrating from Cost Management to the ERP system. Have anyone of you faced decimal issues before? In our integration, one of our problems is the decimal points because most of the field in our ERP system only allows two decimal points. But for Cost Management, it allows many decimal points. So what do we do?

Fortunately, our consultants are able to resolve this issue by using a function to do all the necessary roundings. Then we conducted multiple UAT, User Acceptance Testing, with different scenarios to test whether all the data is being passed into the ERP system accurately or not. In the end, the outcome was very consistent with the help of our consultant. That's all from me. Thank you. Next, I'll pass it back to Kyle to talk about our future planning.

KYLE EWE: Thanks PJ and Mei Mei. I hope we did not bore the audience, but, instead, you guys get more insights on how we get there, including the ups and downs, which we hope will be part of our lesson learned today. [INAUDIBLE].

I mentioned we have phase 3 and phase 4 to complete. In fact, we have already completed phase 3 development for indirect costs to get the expenses, direct POs, and other costs from ERP to ACC. We are going through some tests and mapping now, especially for phase 3. As for phase 4, the development has already begun. This is where we focus on the master data, which includes company codes, WBS codes, vendor lists syncing, and so on between ACC and ERP.

Finally, there are some other enhancements we need to work on. One of them is how we handle debit/credit notes. We would like to automate that process a bit more to improve the overall experience.

Also, as mentioned in the beginning, where the gaps in ERP is being filled up by ACC Cost Management to avoid data losses, especially in PQ information, contract information, and BIM information, that's another area in the 5D contract claims. Recently, we have successfully developed a process which allows us to visualize the contracts claim in 3D, 4D, and 5D. I hope we can show it to you guys this next year. Thanks, everyone, for attending this session. Good evening and see you soon.

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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。