AU Class
AU Class
class - AU

Accelerating high-tech project start. Discover how a general contractor leverages cutting-edge tools for rapid mobilization.

Share this class

Description

Immerse yourself in the inspiring world of integrated high-tech factory planning at Exyte. Learn how groundbreaking Dynamo automation and advanced BIM technologies are revolutionizing the efficiency and quality of project setups. In this AU course, you'll learn how large project teams can use automated Dynamo scripts to quickly create Revit setups, configure detailed IFC file export and exchange, and meet even the most demanding customer requirements. All seamlessly integrated with collaboration on the Autodesk Construction Cloud (ACC) platform. This automation greatly simplifies and accelerates project mobilization and ensures seamless collaboration between the in-house engineering team and partners. Learn how Exyte leverages technology innovations to deliver Digital Twin-enabled models to their customers, empowering the entire project team of 60+ designers to efficiently and effectively engage in project execution from the first moment and redefine high-tech facility design.

Key Learnings

  • BIM and Revit Model Requirements - Analysis of Revit options and their impact on project quality and collaboration.
  • Learn effective methods for quickly adapting internal standards and customer requirements for integrated factory modeling.
  • Explore best practices for improving efficiency and reducing errors in engineering, project delivery, and collaboration.

Speakers

  • Avatar for Grzegorz Pilarski
    Grzegorz Pilarski
    Grzegorz is passionate about the construction industry and committed to providing state-of-the-art digital solutions for large construction projects. He started his career as a power plant engineer and then worked for four years as a cleanroom designer on pharmaceutical projects. For the last six years, he has been working as a BIM manager for a general contractor on various projects and has nine years of experience with Autodesk software, mainly Revit, Navisworks, ACC and others. Grzegorz has been a BIM Manager at Exyte for three years. Since last year, he has been leading the BIM/VDC team responsible for the Advanced Technology Facility sector at the company's headquarters in Stuttgart. In his role, he mentors and supports the talented team in BIM management, coordination and software usage to ensure that each project meets the highest standards. Exyte is a global leader in the design, engineering and construction of ultra-clean and sustainable projects for high-tech industries. Their vision and commitment is to "bring the technology of the future to life". A robust implementation of Building Information Modeling is a key support to Exyte's mission and execution of large and ambitious projects.
  • Thomas Nagel
    Thomas: A digital visionary and catalyst for change Thomas core passion is using the power of digitalisation to reshape traditional business processes! Champion of digitalisation: Thomas has always been at the forefront of technological advances in business. With a strong belief in the transformative potential of digital tools, he has successfully integrated cutting-edge platforms such as Inventor, Fusion 360, Vault Professional and BIM360 into companies' workflows. His commitment to digitalisation is creating a digital mindset in teams to ensure the evolution from manual to automated, from traditional to futuristic ways of working. Master of project execution: Thomas is not only an idea generator, but also a doer. Whether he is managing the development projects or new product lines, he ensures that every project is executed with precision, on time. His hands-on approach to project management goes hand in hand with his keen ability to anticipate challenges and manage complex requirements. Agent of change: Thomas really shines in his role as an agent of change. He has always been committed to helping companies evolve. Leading by example, he has guided Claudius Peters through a transformative journey. His goals have always been clear and ambitious: reduce inefficiencies, increase quality and maximise customer satisfaction. A forward-looking view: As Operations Director, Thomas began building database-driven, interdisciplinary engineering, demonstrating his constant drive to merge the operational with the digital. As Chief Digital Officer, he visualised and realised the digital transformation. His commitment to digital innovation was further underlined by the consistent and successful implementation of revised digital business processes. Thomas has a vision where technology and strategy merge to create lasting, impactful change. His motto remains innovation and transformation.
Video Player is loading.
Current Time 0:00
Duration 49:33
Loaded: 0.34%
Stream Type LIVE
Remaining Time 49:33
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

GRZEGORZ PILARSKI: All right. Hello, everyone. And welcome on the Autodesk University session, accelerating high-tech project starts. Discover how a general contractor leverages cutting-edge tools for rapid mobilization.

THOMAS NAGEL: So my name is Thomas Nagel. And we want just to make sure with the safe harbor that what we show today is a best practice from Exyte. It is not a purchasing or a sales pitch. So everything you see here should not lead to a purchasing decision on your side.

GRZEGORZ PILARSKI: So, hi, everyone. My name is Grzegorz Pilarski. And I'm BIM manager at Exyte in Central Europe. In my role as BIM manager, I oversee the implementation and integration of building information modeling across our projects, ensuring that our designs are not only innovative but also optimized for precision and efficiency. My primary focus is on enhancing collaboration between our multidisciplinary teams and streamlining our workflows to deliver exceptional results to our clients.

THOMAS NAGEL: So my name is Thomas Nagel. I'm a senior business, a senior principal business consultant at Autodesk. And my role is to help customers on their digital journeys, such as Exyte, and Greg here to understand their workflows, processes, their pains and gains. I have a history of more than 30 years in the industry. And from the first day on since 1992 until now, my work was executing projects and helping companies to become more digital and help them on a digital transformation journey.

GRZEGORZ PILARSKI: During this session, we will start by describing our partnership between Exyte and Autodesk. Then we will explore the need and benefits of accelerating BIM implementation. Then we will dive into our common challenges in standardization. Afterwards, we will present our Exyte approach to project configuration. And finally, we will wrap up with our lessons learned.

Introducing Exyte-- so Exyte is a global leader in engineering, design, and delivery of high-tech facilities, including clean-room and odor-control environments. Our core business sectors include advanced technology facilities, biopharma and life science, and data centers. In Exyte, we believe the future of technology is not only something we anticipate, it is what we actively shape and bring to life. As BIN department at Exyte, we contribute to that vision by supporting the digital transformation in construction industry.

THOMAS NAGEL: I would like to say a few words about how Autodesk is working together in partner with Exyte. Exyte is an enterprise business agreement partner, where we have an account team, as you say, with different experts, with different customer success managers, how we try to support Exyte on every detail on their engineering and project execution way of doing things.

Also, like Greg said, we believe a better world can be designed and made for all of them. And this is what we try to achieve together with Exyte. We have also made a match of our visions. And we looked at the values from Exyte and to our values. And there is really a good match of what we would like to achieve, now, also together as a team, as a strategic partnership.

Discovery-- so when we do work together with Exyte, we also executed a discovery workshop a couple of months and years ago where we were trying to understand what the BIM department would like to achieve.

And based on this workshop, we really went into the details from many different stakeholders from sales, project execution, engineering, site services, the board of Exyte, the customer of Exyte, the BIM manager of Exyte. And we looked at their pains, gains, their wishes, what benefits could be achieved if we improve and help, let's say the BIM processes. We created user stories and also changed stories to help the communication within Exyte.

And out of this workshop, we looked at typical industry outcomes overview. And together with Exyte, we said, OK, what of the typical outcomes of operational efficiency, of risk reduction, of business growth you would like to improve. So how can we understand what you would like to improve so that everything we do together will maybe pay in to the following sections?

And then we came up with four areas, so increase operational efficiency by optimizing engineering workflows, by enabling transparency and quality in all workflows; automate design processes, connect stakeholders, and so on; reduce project risks-- very important, especially because Exyte is executing huge, big mega projects; and also maybe win more business and increase customer and user experience.

GRZEGORZ PILARSKI: Accelerating BIM implementation-- in our BIN department, we often used to say, we just started and we are already late. And I'm sure the same feeling is in every design office because implementation of BIN processes is crucial in all our projects from the first day.

With a great effort of our team, we are trying to change the mindset to follow our new saying, it's never too late to start. It is always too late to wait. This is driving us to be proactive and to ensure that every step we take is helping us to deliver on time and in the required quality.

It is what to discuss, what are the benefits of early implementation? So first of all, it enables coordination from day one, what is absolutely crucial for our big project teams that are working on high-tech projects. It's also improving our quality of our deliverables and of our Revit models. It also reduced the work that we spent on design and also reducing the cost.

So always when we need to change our templates, rename our drawings, or jump to our scripts to reconfigure them, it is something what is costing a lot of time. And by proper BIM implementation, we can reduce that a lot. Another aspect is that it is speeding up the project execution and design. It is also streamlining the work and communication in our team. And last but not least, it is helping us to bring the right quality in the right time, what is highly visible and is bringing values to our customers.

Now let's talk about the common challenges that we have in traditional BIM setup. So we all know that it is simply time consuming. Manual data entry is taking time, and also always we do multiple mistakes. It is also very complex task. So we have large projects where many stakeholders are involved, multiple disciplines, and over 200 piping and ductwork systems in every project.

Our team is diverse, so we are working with international Exyte offices. We are working with design partners, with subcontractors, and our goal is to have a consistent project documentation. A final challenge, which is one of the biggest challenges for us, is the interoperability. So we are working with sometimes different software, with different templates, with different families. And we need to bring it all on track.

Our approach to project setup at Exyte-- so first I would like to explain what are our standard tools that we use. We are using mostly Autodesk software and tools. And this is Revit, AutoCAD Plant 3D, AutoCAD, Navisworks for coordination, and we use multiple tools to ensure quality in our deliverables. And here we use Autodesk Validation Tool. We use coordination tool for Navisworks, Revit model checker. And all of them are integrated in ACC platform.

What are our exact projects? What is the size of our average projects? So in Exyte, we usually work with quite large projects. And average floor area is around 80,000 square meters. On average in project, we use over 3,000 different families and types over one million Revit objects, more than 200 different piping and ductwork systems. In detailed design, we have around 70 models, and it is rising in the construction phase up to 150 models.

And we have defined what are our main challenges and what are our goals we want to achieve. So we are lacking of unified standards between multinational company branches. We are also working with different project locations, so we have different building codes and regulations. Very often, we need to follow customer standards when it comes to colors, to naming, to drawing naming, to different attributes. And simply, our products are very complex. We are working with special equipment, so we have custom families. We have multiple piping and ductwork systems. And we have tight schedules.

So our goal is to facilitate model collaboration and work sharing between all our offices. We want to deliver consistent documentation. We want to provide data that is trusted. We want to-- we are looking for a tailored solution so that we can adapt it to the project needs. And we want to streamline our processes.

Let's now shift our focus on how we can prepare ourselves for the future projects. So first of all, the standardization is a key. We have standardized our protocols, our guidelines, templates in a way that they can be quickly adapted. We've also standardized our common data environment platform, which is ACC. So we designed our workflows and processes. We standardized our folder structure that is used in every project. And we also defined how we manage permission to folders.

We also understand our resources. In the beginning of the project, we clarified where are project key members. The roles, responsibilities, and tasks are clearly communicated in our protocols. We also built a BIM product setup team, which is a dedicated team experienced in setting up BIM in the beginning of the project. And we also have our automation team that is constantly working on improvements and always available to support us in projects.

We also need a strong understanding of our software and technology. We continuously improve software knowledge. We optimize our processes and review them regularly. We explore which tools we can use to generate our deliverables. We also provide trainings to our teams. And we also build the teams considering their skills. So we always combine someone who is new to our company or is fresh in the design with someone who has more expertise.

We also try to engage all stakeholders in an early phase. By engaging them very early in the project, we can clarify our expectations, we can identify the risks and opportunities, and we can build relation with them.

Another essential tool that we use are very simple checklists. They bring really huge benefits to implementation of projects. So we can ensure consistency across all the tasks. We can make sure that the tasks are completed in the right sequence. We can also track that the task has been completed. And checklists, they provide clarity to the team. They reduce stress. They increase encourage and focus on the tasks.

In this slide, I would like to bring attention to how we approach template standardization at Exyte. We recognized early on that flexibility is crucial for us. We decided to make our templates customizable. And this is described in three steps. So first, we program the project. We collect all necessary data.

Second, we fill all the information about our project to our templates, which are in form of Excel. And based on that, we can generate our BIM-CAD documentation and Revit templates. The third step is optimization and control. And before we jump to details, two examples how this is implemented into our project, I will hand over to Thomas for an introduction to what is Dynamo.

THOMAS NAGEL: So what is Dynamo? I've heard customers saying, hey, our new axle is Dynamo. And another customer is describing it that it is our Swiss knife. So Dynamo is an open-source software, which is easy to learn. So you can program and automate processes and working steps just by a simple way of doing visual programming.

Again, it is open source. It is added inside of Autodesk technologies, such as Revit and others. And you have a visual interface just to design logic routines. You can create geometry. You can create workflows. You can take data from one source, as Greg will show later on, and bring it to another area such as Revit. So it has an interface to multiple softwares. It is, as the customer said, really a Swiss knife.

And what I like on this picture is to explain maybe where you would locate Dynamo. And Dynamo is, if you look at programming software and languages, it is maybe in low-hanging fruit. So normal people are able to use Dynamo to improve their workflows and processes and data handovers and everything.

Normally, programming is a task for a programmer. And this programmer has to understand what is needed from the user, maybe, or from an BIM manager or from an operative person. And also, it is not easy to use. This may change now with ChatGPT. But the visual programming shows you the possibility of how to connect maybe data, what we'll get out of it.

And you can just by entering values inside of the Dynamo, you can see the results of your programming. You can see your results of creating geometry or handing over data. So this makes it so, first of all, so easy to learn, so easy to adopt. And then the results can be checked also very easily.

And here you see on the left-hand side, the old way of doing things. You must be maybe a specialist. You need to understand programming languages. And on the right-hand side, it is a way to simplify things with Dynamo.

And Dynamo is always also split into different phases. So maybe at the left-hand side, Dynamo is now reading data from a certain area such as an Excel list, for example. Then it is using the data, computing the data. And then, it is writing it into an area such as Revit family, or Revit et al, or creating geometry.

GRZEGORZ PILARSKI: Now I will jump to examples of our standardization at Exyte. So part of our workflow that we built to set up in our projects is to utilize combination of Excel-Dynamo with Revit to populate information from Excel into our models.

As a first practical example, I'll take filling out project information to our Revit models. So in the early phase of a project, we are collecting all the data into our project information sheet, which is then, with support of Dynamo script, loaded to the Revit project information. The Revit project information includes also all of the parameters with what is necessary for exporting proper IFC files. This is really improving efficiency by reducing time and also reducing the mistakes that we would normally do.

A second example is how we build our attribute list in the project. So we have a large Excel file where we listed all our standards parameters at Exyte. This list is in every project developed by adding parameters that are needed in a specific project. And in next step, directly from the Excel file, we can generate our LOD matrix.

It is a document that we can print that is our deliverable. And it's defining the requirements for LOD and also for parameters for object types. And the same Excel file is also used to load parameters from shared parameter file to Revit model to simply build our template. So we attempted our template that is created for our project needs.

Next steps is creating materials. So we have a standard tool, which is our Exyte MEP system list. It is a list in Excel with mechanical-- so with ductwork systems, with piping systems, and with electrical systems.

And in the first steps, we create materials in Revit. So we can simply select in the first column what are the systems that are necessary in our project or in our model. And then with use of Dynamo, we can create materials with a naming convention that we established and with colors of the graphic that we defined in our medium list.

In second step, we can create the piping and ductwork systems. So we use the same Excel file. So it is one centralized place for all our MEP information in the project. And we can create our piping systems directly. In the piping systems, the Dynamo is giving the name to the system. It is overriding the graphic with the right color. It's assigning the material that was created in the previous step and is also filling the other information like abbreviation or description of the system.

We also create our filters using Dynamo. So we didn't want to have one template for every project because we could end up with hundreds or thousands of different filters. So we can build it according to the systems that we have in our projects. And this is helping us to maintain the right graphic in the projects and in our drawings.

In the next step, we also create worksets using Dynamo. So we have our standard list of worksets. And there is a selection column when we can select what are the works that are needed for our project or our discipline. And the boxes are loaded to the model.

Now I will play a short video that is presenting how we built our templates in Exyte using Dynamo.

[MUSIC PLAYING]

We call it our Revit template configurator. And we start with project information. This is our standard parameter list. And the parameters will be assigned to the categories. And all the parameters are loaded from shared parameter file. Second step, we create our project levels. So we define project levels in an Excel sheet. And by selecting a building, we can load them to our model.

[MUSIC PLAYING]

In the next step, we create our views. And when we create our views, we apply our view template for the discipline. And we can see that the views are presented in the project browser. And for every level, we a view created.

[MUSIC PLAYING]

In projects, we are loading also project information so we can ensure that in all models, we loaded the same information about our projects. We can quickly create our worksets. So here we avoid any typo mistakes. And this is our standard list of works that we use.

Using our medium list, we can define what systems should be loaded to the model. And in the first step, we create our materials. Materials are created, and the graphic is assigned.

We create also materials for ductwork systems. And in next step, we can create our piping and ductwork systems. It is a very quick step when we can create multiple piping systems and all information are coming directly from our standard medium list.

Next step, we create our ductwork systems, and we create our filters.

[MUSIC PLAYING]

We are also using AutoCAD in our project. And to ensure that we can provide consistent deliverables not only from using Revit but also AutoCAD, we have generated a Dynamo script that is generating a LSP file and the LSP file based on the selection of the systems that we'll be used in our project.

The LSP file can create all the layers accordingly by providing the correct name, assigning colors and line settings. And with another LSP, we can create our template that is drawing all the lines in the AutoCAD space and also providing tags to all the lines.

We are also managing our federated model in Navisworks. And here we utilize Dynamo at first to create search sets. So in every project, we have a standard tool, which is our model list. The model list is necessary in our big projects to understand who is responsible for what models. And with the use of the model list, using, again, Dynamo, we generate XML file that is defining all the search sets. And the search sets then can be very quickly imported into Navisworks.

We are also using Dynamo to build our clusters. So always for our clusters, we define using clash test matrix. In the matrix, we define the models that are checked against other models and the settings for the tests. And again, we generate XML file that can be downloaded to Navisworks. And at the setup of the clash-test list, it's much faster.

Another important aspect of the standardization exercise are our predefined workflows. So we have multiple workflows that are well documented. We document every workflow. And we are always trying to optimize them with next projects. As far as possible, we integrate them with our ACC platform. For every workflow, it is clearly defined what are the roles, tasks, responsibilities.

We develop for most of our workflows Revit templates. So if the workflow is related to Revit, we have a ready-to-use Revit template. And they can be very quickly adapted to every other project.

Revit-dependent views-- so this is another very interesting function in Revit that is helping us to accelerate our design and delivery of our sheets. So dependent views are-- I'll link to our two primary views. It means that the changes in the parent view are applied also to the dependent view.

This is very helpful when we break down large areas to multiple sheets what happens often in our projects. What we can do using Dynamo, we can develop our deliverable list or task-information delivery plan. So we list all our drawings, all our views. We define what sectors should be applied to the views, what view templates should be applied.

We define what is the title block that should be loaded to the views. We define how the title block, what information should be placed in the title block. And with a very simple Excel list and also Dynamo script, we can generate the views, generate the sheets, place the views on the sheets. So the process is automated, and it's really streamlining our work. I will hand over to Thomas.

THOMAS NAGEL: Yeah, thank you, Greg. I have to say, by all the things you are doing here with Dynamo, I would say also my Swiss knife was not a bad description. So you can see that in many different workflows and steps, Dynamo can be used in setting up in project very fast in something like this.

And what Greg described is to set up a project to have high-quality Revit models, maybe during the process, during the project, and for the handover for final customers. And he mentioned that they are using at the moment still the model checker within Revit.

And there is another class from Exyte. And Exyte had rolled out for one mega project and functionality called Autodesk Validation Tool. And the Autodesk Validation Tool is able to automate the check, checking of models which are saved in the ACC and Autodesk Docs. Here you see maybe the name of the class.

If you want to see it later on as a recording, as maybe even live, just have a look onto it. And the Autodesk Validation Tool is fully automated inside of Autodesk Docs, which is part-- it is the common data environment from Autodesk Construction Cloud.

And when you have your workflows in Revit and it gets uploaded maybe from a supplier, then there is a preconfigured and customized validation check script, which is then checking the models, according to the demands and the requirements you set up, maybe for your partners, maybe for your engineering team. And this will be done automatically. It will create, let's say, an overview of all the errors which are inside of the model.

There might be some major problems. And there might be some small problems. But this will be also identified and brought to a Power BI dashboard, where you can see right away, without any manual interaction, that maybe the model is either good or is not good and has to be modified again.

So if we look at the typical structure, how does this work? Then you have on the left-hand side maybe many internal and external teams or team members working in Revit models. And then they bring it, let's say they work in the cloud with Revit Cloud Worksharing in Autodesk Docs.

And when it gets to a certain status or after work-in-progress, you share it or somebody is uploading it, then the validation process starts, identifies problems or issues maybe with the model and bringing the data over to a Microsoft Azure environment where then Exyte, for example, can use a Power BI dashboard identifying the models who loaded it up, something like this. And then you can bring it back to the team members saying, here are some issues. Please provide a next version of a cleaned Revit model.

And then it gets to the construction site to the people who have to work on site. And at least just as a sneak preview, the quality could be improved clearly on this project. And the engineering team was always ahead of the game, so they were not late. The quality was good. That construction team had all the models, all the plans on site, and could work seamlessly with good high-quality models and sheets.

GRZEGORZ PILARSKI: A few words about our standardization in ACC and Exyte. And so ACC is our standard common data environment in all our projects. We standardized our folder structure, which is used in every project, what is helping to our team to work on multiple projects. We standardized our project roles and our approach to managing permissions into the folders.

We also applied file-naming standards to folders. We defined multiple workflows, which are now available as templates that we can easily implement to our next projects. And we created many trainings and presentations. So we are always onboarding our new members of Exyte to our standard ACC as well as our design partners, our subcontractors in our projects.

A few words about naming standard, which is really a great feature in ACC, and it helps us a lot. So what we can do in ACC is we can define naming convention by creating attributes. And it can be adapted to any naming convention that you use. So it is very, very simple to use. And what will happen in next step when you enforce the naming convention in your folders? If a document is loaded to ACC folder that does not follow the right naming, it will be located in the holding area.

And it doesn't mean that the document is simply wrong and that it won't get to ACC. The user can access the holding area and can validate and correct the file name. So this really is helping us to improve the quality. It reduced the time that we spend on checking if our design team is providing the deliverables with the correct naming. So I highly recommend using the tool.

And to summarize a bit, the use of ACC at Exyte-- ACC really helped us to integrate all our processes into one place. So we have multiple workflows. We have multiple special processes in different projects. And it is really important to have them all centralized in one place. But by using ACC in our projects, we are quite confident that everything is precise and is in the right place.

BIM implementation team-- so I wanted to speak a bit more about the BIM implementation team. So there is another popular saying in our BIM department at Exyte, which is, every project is different, but problems are the same. So we recognize that there is a set of challenges in every project. And the challenges are changing along the different stages of the project. So for that reason, we decided to look for improvement to manage the special challenges.

And we came to an idea to build a dedicated team for BIM implementation. So the team also called, as we call it, BIM task force setup-- the team is responsible for implementing all necessary workflows, tools, in the beginning of our project. So their responsibility is to identify the project requirements, is to establish all project standards, is to implement CDE in the project, is to set up our models, define our workflows and optimize them, and also to set up a quality-assurance plan for our project.

So the project that the team is expertise in is integrating BIM in early phase. And the picture, I think, is reflecting the task very well.

So what is our goal here? We noticed that in every project in the beginning, and the beginning is actually-- it takes not only a few weeks, but a few months. It takes-- it is a big effort to implement all the processes. It is a special challenge. And it is a bit different task than the father BIM management that, of course, it is ongoing in every project. But the difficulties and the challenges are different.

That's why in the beginning of the projects, we are onboarding our BIM implementation team. And they are responsible for the initial setup. They understand the priorities. And they can implement all the necessary tools and workflows in the right time.

After the time when, let's say, the project is already running the way we expect, the BIM management is handed over more and more to the BIM management team that will stay in the project throughout the project life cycle. And as represented on the picture, this is what we expect to achieve. So we reduce our time spent on the implementation and on BIM management.

But it's not only time. It is bringing much more benefits. So it's really time-efficient. The team is using Dynamo to automate many processes. And it can reduce time of the work up to 70% or 80%. We can also faster adapt our standards to the customer requirements. And the reducement of the time is here around 50% or even more.

We can also accelerate documentation processes. This is very important for us so that we can deliver our products early. And we can also improve our quality. So we have many automated processes that reduce errors in documentation. And by early implementation, we can also ensure a proper collaboration in the product of our team.

Another cause we believe we achieve with our approach is that we can make our team to be more efficient. So they know from day one what are the tasks, what tools they use, where to save the documents, where to get all the documents. And this is increasing efficiency of about 30% to 40%. We are also using advanced tools. We are using Dynamo. We are implementing the tools in an early phase, what is also increasing our efficiency.

Talking about cost savings-- so we spend, of course, less time on implementing it, but also much less time on any reworks, and also enhancing model quality and compliance. So we can deliver our products with a higher quality. And we reduce the number of the revision and updates. And we can reduce our revisions to 20% to 30% when it comes to delivery of our sheets. This is a significant improvement.

I would like to now wrap up our session with some key lessons learned. First of all, standardization is absolutely a key. And I can recommend to all design offices to really spend time on standardization. It is bringing many benefits. And sometimes it can be pain. But in the next project, you will definitely see all the benefits of it.

It is super important in projects, but also in our BIN departments, to define roles and responsibilities. If possible, we highly recommend to have the special dedicated team for implementing BIM. The team, they are experienced. They won't be surprised by the challenges that pop up in the beginning of the project. And when we have projects that last for many years, coming back to the same challenges, it is sometimes a surprise. So having the dedicated team is, I believe, a really good approach.

All processes should be documented. So sometimes we forget about it. We do something. After a few months, we don't remember anymore how did it work. But it worked. So we pay now really big attention to the documentation. It takes more time in the beginning. It brings huge benefits later on.

Explore new solutions. So, yes, there are many solutions on the market. There are many features that also Autodesk is releasing. Sometimes someone could be skeptic at the beginning. But it's always worth to try it because a change in the beginning is hard. But we need to improve, and we need to try new solutions. Always with a new tool, it's good to test it before it is really used in the project, but it's important to explore.

Quality is important. So sometimes in the projects, we believe that quality control is not so necessary when we have a quality assurance, when we define what is the quality in our project. But it's always good to have some control of the quality. And it makes not only the deliverables simply in a better condition, but also the team is more happy.

Create checklists. Checklists are a very simple tool. For some, it could be something a bit old-fashioned, but we were surprised how happy are our colleagues, our newcomers to Exyte when they have a clear understanding of what are the tasks, what is the sequence of the tasks, and how we can also report that the tasks are completed.

And lessons learned-- so we have now lessons-learned slides. And lessons learned are important. It's always good to find time for lessons learned. We recommend we do it in every project phase at least once. We look over all our processes. We look for improvements. And it is always something we can improve. And now, we would like to thank you.

THOMAS NAGEL: Before we say thank you and goodbye, I would like to share one saying from the company where I come from. We had always the saying, tell me how your project starts. I will tell you how it ends. And I think this describes very well so what Greg was presenting here with the BIM setup team, creating a lot of work and concentration and focus on the starting phase of a project so that it can run over years, maybe smoothly.

This was my saying, I wanted to share after Greg shared so many. So I say thank you. If you have any questions, you can also reach out to me.

GRZEGORZ PILARSKI: Thank you.

______
icon-svg-close-thick

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

Customize your advertising – permits us to offer targeted advertising to you

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

icon-svg-close-thick

THIRD PARTY SERVICES

Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

icon-svg-hide-thick

icon-svg-show-thick

Strictly necessary – required for our site to work and to provide services to you

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
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

icon-svg-hide-thick

icon-svg-show-thick

Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal 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 OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. 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.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords 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 AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick 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 Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter 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 Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook 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 Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn 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 LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan 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 Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver 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 Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast 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 Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind 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 Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media 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 ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM 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 AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect 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 Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing 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 Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd 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 G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display 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 NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK 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 VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) 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 Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite 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 Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar 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 Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense 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 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus 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 Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt 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 StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk 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 The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
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

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.