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Data in the AEC Lifecycle: Using Data to Better Connect AECO Stakeholders

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Description

From inception or proposal to closeout, a project generates a gigantic amount of data. Figuring out how to use this data to improve decision making can feel overwhelming—but, if done correctly, it can have great benefits to the business. How can architects, engineers, contractors, and owners use this data to make better-informed decisions and to better inform project stakeholders? We will uncover why it’s important to begin to aggregate data across a unified platform and other sources that span various workflows in the project lifecycle. This is a cyclical process of collecting, connecting, and visualizing our business question and needs.

Key Learnings

  • Learn about the value and importance of collecting data across a unified platform and enterprise environments
  • Discover how collecting and using data through the lifecycle of a project can help teams stay on schedule and maintain costs
  • Discover the potential value in analyzing data and learn how you can use it to drive better decision making
  • Discover which additional infrastructure or talent you may need to be successful in lifecycle data collection and analysis

Speakers

  • Avatar for Lauren Collier
    Lauren Collier
    Lauren has over 18 years of industry experience ranging from healthcare and industrial architectural design, BIM implementation, Innovation Projects, developing Technology Strategy and executing Corporate Initiatives. She holds a Master of Architecture degree from Savannah College of Art and Design and a B-Arch from Miami University. Her creative passion lies in Lean, constant improvements and innovative model/data use solutions for design and construction operations. She leads a group of multi-discipline technologists and Model Managers whose focus is implementing these new innovative methods and best practices in our work and for our clients. In addition to her role at SSOE, Lauren is an active amateur photographer/artist as well as a wife and mother of three imaginative and energetic boys.
  • Avatar for Sunny Manku
    Sunny Manku
    Sunny Manku is a Technical Solutions Executive for the Autodesk Construction Solutions (ACS) team, specializing in Autodesk Design & Construction Products. Before joining Autodesk, Sunny spent over 12 years in design & construction, with a focus on digital transformation. Sunny joined an AECO company where he focused on integrating Collaborative BIM Technology to (private & public) organizations resistant to change.
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      Transcript

      SUNNY MANKU: All right. Well, welcome everybody. This session will be focused on data in the AEC lifecycle, specifically on using data to better connect AECO stakeholders. This will be presented by Lauren Collier, as well as Sunny Manku. The agenda will consist of introductions, data in the AEC industry, how SSOE is leveraging data, as well as summary and next steps. With that being said, Lauren, if you could actually give an introduction, that'd be fantastic.

      LAUREN COLLIER: All right. Thank you, Sunny. Nice to meet everybody today virtually. My name is Lauren Collier. I'm a business leader focused on technology and project implementation at SSOE. I've been in the industry almost 18 years now. 14 of those fabulous years have been in SSOE, and I'm excited to share what we've learned and what we're learning in our data journey.

      SUNNY MANKU: Awesome, awesome. Excited to be with you here today as well. And a little about by myself, I'm Sunny Manku, technical solutions executive. I'm coming in with about 12 years of design and construction experience, specifically focusing on digital transformation, and just making it simpler for everybody going in from design, construction, and to facility maintenance and operation. So happy to be with yourself here today. So moving into the presentation. Let's focus a little bit more on how we're actually leveraging data in the AEC industry today.

      And before we kind of jump into this particular slide, I think it's important to recognize that there's a ton of solutions that do a great job. Being able to manage specific components of a project environment. But really finding that value in nurturing that holistic place where data can live in one place is really one of our major focuses that we have here today. So being able to effectively break it down into a more design, plan, build, and operate to the segment, we get an opportunity for all stakeholders, regardless of what they're doing in the project, to be able to collaborate effectively one place. To be able to have the confidence to be able to make sure that data is living in one place. Be able to pay attention to version controls. And also be able to determine certain decisions that were made in the project at an earlier stage.

      So regardless of you being part of the project environment and the design, plan, build, or operate segments, it's really a great place for anybody to be able to collaborate on, effectively being able to enrich the project environment. Adding more value to the project as you continue to go through it's multiple phases. Now, what are some key components that come out of a project, where the value drivers that really come out of keeping everything in one place? Well again, focusing on that ideology of keeping it simple, making it specific to certain stakeholders in the project, we now have an opportunity to focus on being able to pay attention to certain risk and either design phases of the project.

      Be able to pay attention to areas where you might need to mitigate clashes during the pre construction phase. And really start paying attention to how do we actually build up that cost estimation environment, So that as your project continues to move into a construction management phase, we have the ability to track those areas and activities more succinctly. And specifically under that CN phase, we have a chance to pay attention to areas at risk. Specifically focusing on quality, safety, as well as making sure that there's no areas of the project that go missed. We have RFIs, there's owners associated with it. And we're also able to indicate what type of challenges or potential issues that might cause from a cost perspective as it goes through this level of maturity.

      All this really adds value to an owner, or essentially as your project goes into that owner operator phase, specifically being able to pay attention to those commissioned areas of your project. And making sure that what there's more information available to an owner to make better decisions on how to maintain the facility, but really be able to recognize, how do we do this again and do it better in future products that we have moving forward. And that's really one of our focuses that we have [INAUDIBLE] in terms of breaking it down to these four segments. With that being said, I'm going to hand it over to Lauren to talk about a little bit more of how SSOE is leveraging the data.

      LAUREN COLLIER: Thank you, Sunny. I think you did a fantastic job, really, talking about why a collaboration and data platform is really valuable to firms like SSOE. Give a little background about the company that I work for. SSOE is a global project delivery firm. Our mission is really around establishing client value, but also advancing this industry. And that's what makes my job so exciting to work for this company, is that our mission statement is really about that value proposition and being futuristic in the work and how we deliver the work. And it's not just about designing the buildings, but it's also about establishing the future for our clients, and our colleagues, and the communities that we live in. And it's across the globe. It's just not in the United States. We're in three countries, 18 offices, and we have around 1,100 employees.

      So why did SSOE have a data initiative? I was very fortunate to be a part of this journey about three or four years ago when we were starting to uncover this idea of dashboarding, and measurement, and predictive, and wanting to be ahead of any problem that comes in. And so we really started to talk about, well, what do we want to measure. What are the important things that allow us to have that health check? Either at an enterprise level, at a client account level, or that health check on a dashboard level for a project? And we really started to simplify everything into three succinct budgets.

      We have the budget, we have the schedule, and we have the overall satisfaction of the client, or the project in general. And then underneath those, there are other buckets that we needed to measure. There's costs, both on the design side and the construction side. And, for me, I really get to be involved at the very beginning of a project, when we're intimately working with a client who's even trying to decide if the project that they want to work on from an architecture engineering standpoint is even feasible. Doing some schematic designs or FEL studies. Looking to see if that equipment line needs to be replaced. If so, how quickly can we do it? Can it be coordinated? Do we have to shut down?

      All of these things, technology plays a really big role in. But even more importantly, the data plays a really big role in. Because at the end of the day, that client needs to be producing that product quickly. And we are more successful in our design effort and our value proposition to the client if we can coordinate that design, construction, and execution with no surprises. And that's really why the data initiative became very important to us.

      We needed to be able to track deliverables to a schedule. Actions and issues in the lean community. Plan percent complete. Everyone knows about clash detection. If we can facilitate effective clash detection early on, that reduces RFIs later on in construction, quite frankly potential errors and omissions. Commissioning. Being a large engineering firm that does quite a bit of commissioning for our clients, this is an important thing. That startup is key. That only doesn't need to be constructed and coordinated and brought into the facility, right, it needs to start effectively as well.

      And the more subjective, but very, very important, metric that I think sometimes is overlooked is that concept of satisfaction. The thumbs up, the thumbs down. Is the client happy with the work? Is the project team happy with the collaboration? And collectively, all of these measurements together really give us that overarching project health that we really want to be able to measure and monitor during a project. So as we started this data initiative, it was really important that our data initiative actually tied back to our 2025 technology vision. And I'm not going to go through all of SSOE's technology [AUDIO OUT] but there are two things that were extremely important in executing this.

      One, the concept of 50% increase in efficiency. There's a talent war out there. Engineers, architects, we're all not only in competition to win the work, but we're in competition to hire the best and the brightest, and to grow the best and the brightest. But that's not going to grow our business by just adding headcount. How we do work, and how we do a work effectively, is really going to differentiate us from our client. It's going to differentiate us to our clients from our competition, and we really wanted to do that, not just by reducing headcount to increase efficiency. We wanted to do that through the use of process change and technology.

      And we are making two significant investments, not only in our enterprise business agreement with Autodesk, but we also are investing in the Microsoft platform. We're investing in public and private cloud environment. So we're in not only this data initiative, but this concept of a digital transformation process. And that's really the conversation that we're having with our clients, as well as internally with my colleagues, is around measuring the current state, establishing the strategy for efficiency, the change management, and this concept of continuous improvement. Because the most resource intensive part of this whole strategy is really the change management and continuous improvement. Really, the technology is probably the most easiest part. There's the licensing, there's the training. But it's the process change to match the technology in order for us to get the data in a digital state.

      So I wanted to talk to this group about what data, and why do we collect it. And there's one word that comes to mind when I talk about collecting data. It's really around the accountability component. We have data in a lot of silos, in a lot of buckets. Really, we went down the Autodesk collaboration platform, and we started looking at BIM 360 back when it was still called classic. And then, when the next generation platform came out, it had enough significant improvements that it really was attractive from an enterprise level. And then, with the Autodesk construction cloud improvements coming, it's really solidifying itself as an effective collaboration platform.

      And when I talk about a collaboration platform, I'm not just talking about a place to store our Revit models. I'm talking about a platform that we use to coordinate from the very beginning of a design project through the end, and the operation, and hand off to a client. We have design data, we have Revit models, we have AutoCAD drawings. We have issues, and actions, and submittals. And all of that data collectively, really in a cyclical fashion, comes together through notifications. Through ports. Through dashboarding. And it's about visualizing the important needs that we have of each other, holding each other accountable, and allowing the project to be successful.

      And I truly, truly believe-- and I'm sure people can challenge me in the statement-- but a lot of the waste that we've had in this historical AEC industry that we talk about, and the lean community talks about a reduction of waste, is really about respect for people, and this concept of being accountable to the actions that you have. And what we've learned with the company implementation of BIM 360 is that the quick visibility of the BIM design, being able to put that in front of the owners, or even the vendor, or the contractor stakeholders, so that we can make sure that we're getting the designs done timely. So that we can address any issues or delays that may come up. And what that collaboration does is not only allows for a smoother project to be completed or finished, it allows for the whole team to kind of come together. And it's not these wasteful silos of buckets of hand offs anymore. It really is, this is the place I go. This is the place I can consume information. This is the place I communicate. And this is the place that I report out.

      So I wanted to show an example, because we're visual people. We need examples, they're tangible. Here is a great screenshot from a design review meeting. We're looking at some overhead utilities, but we're bringing in only the vendor and the client into this meeting, but we're tracking it over our package schedule. And as we identify issues, we're embedding those issues in the model. That contextual design review is just a monumental change from really how I was doing page turns 10 years ago. Where we were going either through a PDF, or an actual page turn of a drawing set, looking for markups. Where these collaboration platforms have really changed that is really around the contextual and the accountable action that we can have around.

      It's not just about identifying clash. A computer can identify clash. We can fix clashes. It's looking for those non clashes, or those design decisions that really that value add. And it's around the collaboration on the design and the construction, and getting the work done effectively. And being accountable to getting a request done that somebody has asked of us. And this platform has really helped us do that. The next example that I want to talk about, this is something that we did about three years ago that was really important to understanding our current state of data architecture. I don't expect you all to zoom into this and dig it into all the details.

      But what this exercise did was it allowed us to map our current infrastructure state. Our on-prem infrastructure, our Cloud infrastructure, our servers, our baseline applications. And we have a lot. We had a lot. And part of that 50% efficiency goal isn't just about doing the work more effectively. But it's challenging our infrastructure to be more effective as well. And this was all done pre pandemic. So we were already starting to prepare ourselves for an environment that we need the connectivity. I mean, my two year old thinks that the world lives on his iPad. But that's because it's a connected world, and our systems need to be able to have that same speed and connectivity to it. But also our data does, and it really comes back to doing that effective data architecture mapping. And in order to predict the future, which would be my next slide, you have to be able to know your current state and your past.

      So what does the future look like? Shortly after we did our pretty extensive data mapping, we knew that we wanted to measure certain things. But not only to measure things. We needed to be able to connect and display and consume those things. But our data lived in many, many different buckets, as you could see in the previous slide. Some people call that structured and unstructured data in the dashboarding communities. But really, we had a couple main buckets here at SSOE. We have our enterprise resource data, which is in Microsoft Dynamics now. Or will be here shortly. That's one of our major investments.

      We have our document management system, and we are making a pretty significant change. As of January 1 of this last year, we're putting all new projects in BIM 360. And then here shortly, ACC. So it's been a huge shift from network drives, and ProjectWise, and Revit server, and many of these other disconnected systems. We're really investing in a collaboration platform, not only for our document management, but also our project management data. And then on top of that, we have some additional miscellaneous productivity tools and data tools. But the idea is to pick enterprise solutions that allow us to collect that data into a common data environment, so that we can condition that data in what we're calling our data warehouse.

      And then that data warehouse is that secure place that we can connect, consume, and measure not only SSOE, but our partners and our clients. So again, this idea around mapping the future is just as important when you're setting the strategy. Coming up with some type of graphic that you can easily display what you're trying to do. And it allows your business and your business leaders to really understand the end goal. So this was really effective in collaborating with our leadership to get by in, to get understanding. They don't necessarily need to understand the technical behind the data lake, and the data warehouse, and BIM 360, and dynamics and these other little buckets that all come together. But what they do need to understand is in a secure and speedy way, they can get the data and the information they need to run their projects and run our business.

      So the last example that I want to show. This, again, is a pretty busy and technical example. To tell a little bit more about our data mapping story, we came up with 15 KPIs, key performance indicators, that we wanted to measure. And we started to map those KPIs on when would they be available, or delivered, or created during the lifecycle of a project. At the very beginning of a proposal, pre-sales opportunity through site selection, and commissioning, and construction, and handover at the end. And out of the 15, when we went through this whole mapping process, we actually were only ever able to identify that we had three to four that were consistently in a digital state.

      So out of the total 15 three years ago, we weren't even able to measure those KPIs effectively without a lot of manpower. Again, another reason to really start to digitize our environment and create consistent digital processes, so we're not running manual exports, and combining data together, and then connecting that to a dashboard. We want the data to be readily available, and the safe environment that allows the dashboard to create itself. So I could really get into the guts of this exercise. It's really important to work with your leadership. To work with your project leadership. To really understand, what do they want to measure, how is it measured today, and how could or should you measure it in the future. And that really starts to help lay the framework for your digital transformation process. That really allows that data lifecycle concept to actually come to full flourishing.

      And last but not least, the lessons that we've learned. I tried to simplify this in as easiest way as I could. And the word that actually came to mind was this idea of simplification. We had years of very complex systems that were running effectively for our operations, but it was a web of data, and connectivity, and security, and protocols, and software, and it was heavy. It was very heavy. And we are really working very hard at lightening that. At simplifying the stack that we use. We're not saying we're not going to implement some type of third party integration with BIM 360, or a third party add in for Revit. But we are going to challenge ourselves in what integrations we pick, or integrations we develop, to keep this stack simplified and effective.

      Connectivity, data integration, enterprise experience, accountability. Those are all things that work together. The resource intensity that it does take to implement such a change. Not only can you use partners, you can use your internal technology departments. You can use your internal staff. It really is a team effort to do this type of enterprise change, but involve your clients as well. Our clients have been very informative in this digitization process, because there's data they want to consume downstream. And the easier that we can make that data easily accessible to them, we become a more valued partner.

      And going back to our value proposition, not only do we want to be the AEC change makers, but we want to be that preferred valued client. And having that data readily available, for either commissioning, or assets, or the latest reality capture of their facility, it's really important that not only can we get that data to them, but then they can consume it in their lifecycle journey. And I think that's really the end goal, is to find platforms that allow us to keep the data integrity and provide that secure connected hand off.

      SUNNY MANKU: Lauren, excellent job. That was fantastic. In terms of your presentation and really reinforcing messaging specific on accountability and simplicity, I think we don't hear it enough. And specifically hearing it from somebody like yourself, from your organization, and having the practical experience that you have. It's just excellent to hear that reinforcing messaging of, it's one thing to be able to sign certain things, but be able to keep it simple, so that all your project team members can utilize it, is really where the value add is for these projects moving into specific project environments, moving forward.

      I want to take this time now to actually focus on the summary and next steps. What we're going to be doing from here. But specifically, basically, from what Lauren just mentioned, and really kind of harping into the message of, what's the value. What are the benefits to everybody that's part of the AECO world specifically. And the way we broke this down was looking at it from the perspective of how architects, engineers, contractors, subcontractors, and owners would be able to gain value from again, keeping everything in a similar or common data environment specifically.

      As Lauren mentioned a couple of seconds ago, I think a really good point to bring out is being able to vet the technology. Being able to understand what components of a project management solution to utilize is incredibly important, for not only your team, but everybody else that's accessing that information. But specifically focusing on what benefits does it add to these stakeholders to the project.

      How is it that we can measure and manage performance on an architect that might be in the design phase of the project? A contractor that might need to be able to only look at specific information? That's gained to certain teams that they might be working on. And also, from an owner's perspective, to really recognize, what value am I getting in my project at any time, versus just getting all that information at once. To not necessarily understand how to use it. And that's really one of the biggest points that we wanted to harp on, is that idea of simplicity, as well as accountability, for your entire project team to be able to utilize moving forward.

      And with that being said, Lauren did mention in her presentation specific tools and technology that Autodesk has been focusing on and is continuing to invest in. And specifically she brought up the Autodesk construction Cloud, which is one of our latest products that we've released to the market earlier this year. And the idea behind this is that we've made several investments in acquisitions into technology that did a great job before being part of Autodesk. But how do we leverage key components of that technology in more of a succinct way, so that your project teams can one, be part of the experience in some ways, but really to be able to simplify how to access project data.

      So what we've done is we've actually made it extremely simple in making it focused, as of today, on three specific areas. BIM Collaborate, which really gives an opportunity for your design teams to collaborate and perform model coordination effectively in one place. Autodesk Takeoff, which is a new tool that really gives the opportunity to perform take offs, regardless of it being in a 2D or 3D environment. And Build, which is really focusing on that construction management approach of your project. Really leveraging the opportunity to make sure everybody is working in one place, while tying in schedule and cost activities throughout the entire project lifecycle itself.

      And this is all sitting on a major component considered, as we call it Autodesk docs, which is really our common data environment. All your project activity would continue to live, and essentially being able to also give you the opportunity to manage essentially dashboards by using insights. This is a tool that we have a lot of focus on, which specifically gives an opportunity to create dashboards reports to specific stakeholders of the project, and really giving that opportunity to be able to make sure that everybody's getting the right information and value from it.

      Now I know we just talked about this for a couple of seconds. But this just digs in a little bit deeper of what those tools that we just showed you are really focused on. But again, just to give you that granular focus on what those capabilities are. There's kind of quick slide to be able to focus and pay attention to it as of where it stands today. And transitioning to the next slide here, next. steps. You know what? Lauren, I'm going to hand this over to you. I think you can definitely speak better to this, since you have definitely a higher focus on this. So take it away.

      LAUREN COLLIER: So over the last 25 minutes, we really talked about where is data throughout the lifecycle of the project. How do you get access to it? How do you put it front and center? Because it really is the front and center piece that our leadership is talking about. But more importantly, you have to connect strategy with technology. Technology shouldn't just be the driving force to your strategy. Technology should be that accelerator. It's that integrator.

      It's the glue that allows you to really get your strategic initiatives done. And I highly recommend adopting lean construction practices, not only to increase your technology implementation, but also to increase the overall collaboration within your company. And a great lean operating system just facilitates good collaboration with your clients and your partners. If you want to get started today, you can start running insight reports, PDF reports, scheduled exports, for your clients to start consuming that data in a really practical way.

      If you want to start to be a little bit more advanced, you can start instituting the insight just project home page, and putting cards out there, so that your project team sees the visible data. And there's the data connector. Some great prebate power BI dashboards that come delivered with that data connector, as well as just the public API and Forge. and with the combination of data connector and Forge, you really can create that enterprise level data experience, and you're not alone in that journey.

      I highly encourage having technology provider partners along the way, either to help you create the strategy, execute the strategy. Autodesk is one of our preferred partners. There are many other third party consultants that allow you to do that if your company doesn't necessarily have that internal infrastructure. But partnerships are how we get from A to B to C, and three heads are better than one. So the more that you can engage with others, the ideas get out there, and things get built.

      SUNNY MANKU: And for resources, we have class handouts which would be focused on what Lauren just mentioned a couple of minutes ago, to give you guys some practical exercises here. Be able to actually talk about the product itself, in terms of if you guys wanted to dig in a little bit deeper, and also understand a little bit more of the true cost of bad data in construction. And then also recognizing a great resource, which is the Autodesk Construction Cloud Learning Center, which is kind of a one stop shop for anybody to be able to get on and be able to leverage information. Or just get to know how to use the tool even a little bit better, but also think about it from outside the box.

      LAUREN COLLIER: And I second the last two items you have there, Sunny. That FMI report is a great report to share with your project leadership, with your executive leadership, if you're just starting down this data initiative journey. It does a really great job of doing a high level of the construction industry and the data that we have available. And from somebody who not only has created custom learning content with their implementation, the Construction Cloud Learning Center not only has ACC content, it has BIM 360 content, and it really is a really great place, and an excellent resource to help onboard your company.

      SUNNY MANKU: There you go. We have it from Lauren. Exact and direct experience from utilizing both bullets here. So I don't think I need to push it any more than that. But thank you very much for that, Lauren. That was awesome. We're going to move the presentation into the next phase here, which is focused on Q&A, and we'll open it up from here. Thank you very much.

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      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

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      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

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      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

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      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.