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Implementing a Facilities Data Spec with Autodesk Tandem

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Description

Firms use different facilities data standards for classifying building data and parameters used in the modeling process. Autodesk Tandem technology focuses on normalizing the data to meet owner requirements. As data is captured or created during a project, it will be normalized into the digital twin via classification schemes specified by the facility owner. Autodesk Tandem is establishing a workflow to specify the project's operational and data requirements in collaboration with the facility owner. This helps ensure that data is captured seamlessly during design and construction while the project team verifies completeness at each milestone. This enables a highly accurate digital twin that can be commissioned and handed over in an easily repeatable way. This class will focus on the specific data an owner needs to operate and maintain a building. We’ll discuss the workflows and questions to ask owner’s facility teams for the successful implementation of Autodesk Tandem.

Key Learnings

  • Learn the critical questions to ask owners’ facilities teams to focus on essential asset data needed for implementation.
  • Learn about how to simplify the handover process.
  • Learn about how to implement asset data requirements, establish responsibilities, and set dates for the data deliverable.
  • Learn about establishing standards for a connected building.

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Transcript

MARK MERGENSCHROER: Well, hello, everyone. Welcome to Autodesk University. I'm really looking forward to this class, looking forward to being together again. It ought to be a lot of fun.

Today, we're going to talk about implementing a facilities data spec with Autodesk Tandem, the new Digital Twin platform that Autodesk has, and we're going to talk about how to get data into that. I'm Martin Mergenschroer. I'm the customer success manager for Autodesk Tandem.

I really look forward to this class and seeing all the questions, being able to answer all the questions, and actually, show you what tandem can do for you as a Digital Twin. So let's start with our Safe Harbor Statement. Most of you have seen this.

We're going to be forward looking in our conversations today, so some of this may or may not show up in our software. What we are trying to do today is give you a good overview of where Tandem is going. So I am Mark Mergenschroer. I've been in-- most of you probably have sat through my classes before.

I've been at Autodesk three and a half years now. I've been in the industry for 27. I really focus on the owner's experience, and new technologies, and really, trying to educate owners on the Digital twin and what we can do for them to help them operate. My new role that I started this year is leading pre-sales opportunities with owners and operators, speaking at owner events, and developing case studies. And most of all, as most of you all know, Caleb's dad, my son is pretty special to me. He is the motivation for my passion in this industry, and I just love what I do.

I love being able to work with you all and everybody in this new venture of Digital Twins for me. So what we're going to-- our agenda for today is Digital Twin data with the opportunities and challenges of a Digital Twin, Digital Twin handover, and talking about the right data, and then a facilities data template with actionable insight. And we're going to show you a little bit about Tandem, the facility template, and the results that we can get out of the facility template.

So hopefully, we'll be able to touch on all of these to be able to get a good understanding of what's going on and just show you how Tandem is going to be brought into the industry and how we're going to turn a Digital Twin into an actionable Twin with actionable insights. So our objectives today is to learn questions to ask how to simplify the handover, how to make it smarter, understand how to implement the data, and even set dates for deliverables. And then I'm going to show you a workflow for a connected building, because we all look at incomplete data there.

We all get binders today delivered. We get we get thumb drives. But what if we took these binders, and really changed the way we thought, and actually turned this into a Digital Twin, taking all of our documentation, making it usable, making it smarter for the owner, so that they can better understand their data that they're receiving on a new building and then make it actionable?

So with this digital handover, Tandem is focus on normalizing the data for the owner. We want to figure out how to classify the data, so that we can transfer this data from architects, engineers, consultants, contractors, project managers, and hand that over seamlessly to a building owner, whether that's specifying it as part of a facility's data spec, as part of the building commissioning spec, or as part of the architectural engineering specifications. We want to be able to normalize that data, classify it, and then specify it for the owner's data and what the owner is going to require that's needed for operations. And as part of that, we want to make it a repeatable process.

We want the data requirements in collaboration with the facility owners, with the operations team. So a lot of times, we talk to the planning, design, and construction team early on in a project. But we don't talk to the facilities team to find out exactly what they need.

I was at a conference in Boston earlier this year, and I asked that question. I go-- it was at health care facility engineers. And I go, do you get talked to by the planning, design construction team and ask for your parameters, what you need to operate? And they said no.

So I asked the facility engineers, do you talk to the planning, design construction team inside your organization? And they're like, yes, we do, but we don't get our data. So what we're trying to do is work with everybody's team, the AEC industry, the owner industry, and come up with a new approach, so that we can start verifying the completeness of the data and making it repeatable.

So we want a highly accurate, repeatable process for the Digital Twins for Autodesk Tandem, and with that, we're going to get rich data insights. The owners is going to get specific data that they have requested, and this is the data they need to operate. It's not the data that we've given them in the past. This is a specific look at the data that owners need.

So during this class, or during this session, we're going to discuss workflows and questions to ask a facility owners team, or even a planning, design, and construction team as we bring them all together, so that we can successfully implement Autodesk Tandem on a project. And this all turns into handover. If we organize the handover, we're going to be able to start operations earlier than ever before.

Most of you have known me for the Arkansas Children's Hospital project, where we turned over data 92 days before they ever took ownership of that hospital. But during the ASHE, the conference in Boston I mentioned earlier, I asked the question to this classroom, about 250 people in the classroom. 34% said that they got their O&M's between zero and six months, 47% between six and 12 months, and 12 to 18 months was not 19%. So 66% of the owners in their buildings was over six months before they got their close out data.

Now, I know there's some legal issues here tied to payment, but we as a industry need to start looking. Our buildings are more technical. We've got more IoT, and we've got more smart items, smart things in it. We need to deliver these, our close out data, earlier than ever before to make sure that we get these buildings fine tuned for their operational efficiency.

So that's what we're going to talk about today. We're going to, hopefully, understand a little bit more about the Digital Twin process and in some of our opportunities and challenges. So the digital transformation is really data is becoming the key to our industry. It's becoming an asset into itself.

We've got the chillers. We've got the boilers. We've got the generators. But the data that is tied to those is becoming ever so valuable, and with this technology, it's becoming an unprecedented utilization of the data.

So what we're trying to do is to provide greater insights, so that we can make better decisions, so that owner can make better decisions about their building. And as Tandem has grown over the last year, and what we're seeing, who we're talking to, we are seeing that Digital Twins are being placed at the heart of business strategies. And really, people are starting to try to leverage this data in different ways before, and they're trying to innovate, and they're trying to grow their business. And we want to be able to help you do that.

So our Digital Twin is a digital replica of the built asset with a dynamic reflection of its physical self, with bidirectional connections between the physical and digital enable them to possess the operational and behavioral readiness necessary to simulate, predict, and inform decisions based on real world conditions. So we want to take the building, our delivery process, our hand over, and start using it for real world conditions in a easy, simplified, smart way. I believe we can do that as we start looking at who needs this data for the life cycle of the building.

We do planning, design, and construction really well. But what about building conditioning? What about all of that valuable data that a building commissioning agent hands over? What about space and planning? What about utilization of the building?

The building program, is it being utilized to its fullest extent? Predictive, planned, on demand maintenance, all of this can tie to make for better efficiencies in the building with the correct data, and then something we're going to start talking about in Tandem is data streams, performance monitoring and tuning that building with the actual automation systems data tied to the Digital Twin. And with that, that's going to give us more knowledge about our building and more knowledge about our campuses, our collection of buildings, our portfolio management, which, in turn, is going to help us better plan our portfolios. I got a mouthful there.

So then, in turn, it's going to help us decide better procurement options. Do we need to replace that boiler four years earlier for maximum operating efficiency? Those type of decisions are what we're looking for, and as the Digital Twin matures, we're going to be looking at the base level of a descriptive Twin, which is a digital replica. And then, as we move through informative and operational Twins, the sensor data comes into play, connecting that data up, and then predictives, we're going to be able to leverage all of the descriptive, all of the informative to make better insights.

Then the comprehensive, we're going to add simulation to the process and what if scenarios, and then autonomous, the ability to learn on behalf of the users. This is where we're looking at-- this is what Verdantix published in June of 2020. And Autodesk is following this business value and this Digital Twin maturity matrix. So hopefully, with what we're doing here, I love this image of where we've got a room.

We've got a ticket here that's too hot in that room. We've got a warning here that our pump has failed, and therefore, we know to go look at that air handling unit. Because all of our data is tied together from this digital handover, and it's connected to the operations systems. And that is going to allow us to improve efficiency, and hopefully, reduce cost in the long run. Because everything's tied together.

In talking to facility techs, they search for data five hours out of their day and only get to work for three hours. If we could change that, if we could flip those numbers around, how much cost, or how much could we save? But better yet, how much more could that tech do on maintaining the building, and what value can be placed on that? That's really a huge number there.

So specifying the right data with the Digital Twin Handover, I did this class in 2019, one of the best classes I've ever had at Autodesk University, and the discussion was about what data is needed, what data is required, who specifies that data, what are some questions I might ask, what are some samples that I can have to talk about. What we're going to talk about right here is things to make you think, things to make the architect engineer think, things to make the contractor think, things to make that building commissioning agent think, and also, as an owner, what do I want and to make them start looking at the process, so that we can start establishing a facilities data spec, a specification of information that will make our building smarter, our handover smarter, and hopefully, a better user experience for our owners. So what we're going to talk about, smart workflows.

I started working in BIM in 2006. I gave my first BIM to FM presentation in 2008, and we've talked about workflows and looking at workflows. Sometimes, I think we may have over complicated things. If we could back off and just look at what an owner needs for a handover, yes, we have to legally document things in a will. We have to legally document our design, and construction, and our handover. But what if we went that extra step and actually had a deliverable for operations through a smart workflow?

And what I mean by this is our industry, not all cases, but in most cases, our industry looks at this as one asset when, in turn, this is three assets. Because it's got three different asset IDs. So dashes and zeros make a difference, because in the world of owners, this would be three pumps. In the world that we're working in right now, in the data that we're seeing coming from models, this is three pumps.

We've got to work on our data nomenclature. We've got to work on our how we procure this data, how we look at this data. This is great data, the classification, manufacturer, model, serial number. And if you'll notice here, the one on the left over here is a Bell and Gossett pump. The one right here is a Taco pump, but we're looking at these as the same.

So let's start looking at the data and start cleaning it up. So what I really want to focus on is rich data insights to enable a smart workflow for operations, so that we can look at specific data that an owner needs. And it's actually physically specified by the owner's team. So it could be an addendum to a BIM execution plan. It could be in the specs of the design and construction team. It could be put upfront by the owner as part of their requirements, so there is a lot of different ways to handle this as long as we know the specific data for operations.

And then that data becomes more manageable, and it's not an overwhelming, unusable amount of data. Because one of the things in talking to facility owners over the years is they get handed a 900-megbyte O and M manual for 2,500 assets. That manual is, basically, worthless for them, because they've got to go cut that thing up and start making smaller ONA manuals to attach to the assets and the CMMS.

So we need to start looking and figuring out ways to help these facilities teams get this smarter building up and operating in its fullest potential, and we do this with specified data that's manageable and that's attainable, data that we can easily capture and know that that's the data that the owner wants captured. So that becomes the relevant data for turnover, and then what makes this all come together is it's trackable. It's used for insights.

As our picture here on the left, it's used for temperature sensors inside of our office building, so that we can see what's going on in this building. As you can see here in this building, the rooms against the windows, a little warmer than the interior rooms. This is the type of data we want to be able to see, track, and make better decisions about our building.

So I get asked the question, well, who is this for? Who are we trying to touch here? In a lot of cases, we have focused on the engineering and maintenance aspect of the workflows, and then we have focused on the consultants and contractors. But what we need to start doing is focusing on this middle, as well, because all of this needs the exact same data that the engineering and construction teams need.

So what are the questions we need to ask? For all of those, those stakeholders, for all of those owners, what is the use case for the data? What are we going to track? The who, what, when, and how, and why is what we want to ask for the data.

What is the model authoring tool? Hopefully, it's Revit. Is the asset being uniquely tagged? That goes back to that [? pump, ?] PnP-01, PnP-1. Where will the data be stored? What systems do you technically want to connect to the Digital Twin? What parameters?

Who's going to manage that Digital Twin? Is that going to be a Digital Twin consultant? Is that going to be the owner? Is that going to be the general contractor, a FM consultant?

We're starting to see a lot of different people being able to manage these Digital Twins. We need to know these questions and many more. This is just to try to get you thinking about what you need to ask and what we need to be looking for, for facilities data.

I had a list of about 30 questions that I asked my owners when I would go interview them, and it's amazing the comments that you get back. It's amazing the conversations that get started by talking and asking simple questions, and what that does is it opens up the conversation for deeper data structure. And that's when we really start understanding what a facility team needs for their specific building.

Now, as we start looking here, I get asked about, what parameters do I need to track, what do I need to look at? And as I've developed this over the years and start talking to facility teams and to asset management teams, some, they only want six or seven parameters. Others want 50 parameters. But start by asking the questions, what's the asset description, do you want the estimated life of the asset, do you want a photo of the asset, do you want a photo of the nameplate, room names, room numbers?

One of the biggest things we see is the room names and room numbers don't match the building plans and the models. We've got to get that fixed, so that we know what's going on with the parameters and getting them assigned correctly. In a space management, we're opening up an entire new world for space management. We're looking at properties, IDs, the same room numbers, space descriptions, the status of the parameters, departments, capacities, paint colors, flooring, square footage, the functional space. What zone is it located in?

Start asking these questions, so that we can get this data populated in a Digital Twin. Does that make sense? What do you think? Is this kind of the right way to start approaching some owner specific data as we move into a Digital Twin world?

Well, what we've got here is a smart building workflow. Yeah, this may not work for everybody, but it's a start. It's a way to look at specifying the data, how we get everything set up, how we break down the data, and then we start tagging the data. We start classifying it, and we capture the data input.

We capture the parameters. We capture the documentation. Here's something that our industry needs to really work on is validating the data, reviewing the completeness, reviewing the accuracy, making sure that what we hand over to the owner is actually what's there.

You may have heard me talk about this before. One of my projects, we got handed O and M manuals for belt drive air handling units when they were direct drive air handling units. All of the maintenance procedures were set up for belt drive air handling units and not for the direct dry ones, so we had data. We had some really good data, but the data didn't match. It wasn't complete. It wasn't accurate.

So little things like that can make a huge difference when it comes to warranties and how our owners operate, and sometimes, I think we may miss the little miss in the review and the completeness. And we really start to look at that, and with Tandem, we're going to be able to look at some of these parameters and start running reviews on some of this for completeness, accuracy, understanding what data needs to be there. So this will give us a hand over of a continuous exchange of data and the beauty of this.

This can start during design. It doesn't have to wait till three months before we open. We can even bring this in during schematic design, bring the models in and start looking at the process, start looking at the data, start specifying the data, find issues that are going to crop up, because we don't work in a perfect world. But if we can catch those issues earlier in the process, that's going to make for a better handover for our owner.

So Tandem has a facility template, a classification system, and this is the core to our transforming our data into actual insight. Because once-- so what we've talking about, we've talked about specifying data. We've talked about you normalizing data, and what this allows us to do is to build a classification system for your facility or for an owners facility. And thus, we start building a data dictionary of parameters and documentation requirements, and then, in turn, this allows us to have a facility template with the associated parameters, specific asset, specific space types, and actually, data stream types as we're going to be looking at in the future.

So on the right here, you can see we've got a classification of hydronic pumps. We can see that it's a Bell and Gossett. We can actually have links to our document libraries here. We've got the warranty expiration date, and then we've even got the flow rate, the volts, the currents.

We can even have the panel or the VFD for this pump in here. The data is all up to what the owner specifies, and we're truly trying to use this as a building block of information, trying to get this data normalized for whatever building type and push this data forward to make it useful. I mean, what we're going to do is we're going to capture this during design and construction.

We're not going to wait till we're at substantial completion. We're going to look at the design models. We're going to start looking at the construction models with Revit and IFC files currently. We're going to look at common data environments. Where is our data stored, and where is the owner going to store it?

Then we're going to look at the installation and commissioning data solutions, you know, Autodesk Build, even Excel, because we realize Excel is going to be used. It's a powerful tool that owners use, so we've got a way to quickly include data through Excel. And what we want to do is we want to automate the creation of this descriptive Digital Twin by using the model data, using the building commissioning data, and actually, moving that data into the Digital Twin. Basically, it's taking what we have wanted in the industry for years and moving it into operations in a seamless format.

So it's so much closer to where we've wanted it to where, as an industry-- now, I was in industry for 24 years. You know, it's what we've wanted. We're getting closer to where we need to be for our owner structure, and Tandem is really-- I've been excited. I got moved to this team earlier this year. It's going to help. It's going to be there for us.

So Tandem facility templates, so Tandem comes with facility templates out of the box, master format, unit format, different types of industry standards that we use in our everyday world of BIM. Now, what Tandem also allows us to do is we allow you to add your own custom classification system. So if you don't want to use the industry standard, we allow you to build that.

Data parameters, we come with a library of data parameters. We have worked with people in the industry. We've come with some of our experience. We've talked to owners. We've talked to contractors. We've talked to owner operators to come up with this library of intelligent data parameters, so that we give you a head start.

We don't make you create this from scratch. We actually give you some of the industry standard parameters that owners use, but what we also allow you to do is build your own custom parameters that are your parameters for your facility and managed how you want to do them. This adds a lot of power, because you may want parameters for, say, a dorm that are different from a classroom setting on a college or university. This will allow you to do that and specify that.

And then, as we do this, we're able to build facility templates, and we've got some sample templates inside of Tandem that are ready to go. You can see here, we've got a simple category one. We've got a master format, and we've got a unit class already pre-built into Tandem. But then, again, we also allow you to add a facility template to this process.

And then, if we set everything up correctly, then this is what we're going to get. We're going to have model data over here. We're going to have classification systems. We're going to be able to look at families. We're going to be able to look at spaces.

We're going to be able to touch this energy recovery unit over here and see that that's an energy recovery unit ER1 with heating and cooling. We're going to see that it's got a heating and ventilation assembly code, and it's classified as operation assets. It's a custom asset, or it's a custom classification that we built. And we see this categorized as mechanical equipment, and then all of the asset data right here, and then we can look at the link data as well. And then you can't see this right here, but we can actually have the space data for the roof right here as we go along.

So if we build this right, all we've got to do is start touching this data and moving forward with it. And a lot of people have ask, well, I don't understand Revit. I don't have Revit. The beauty of the Digital Twin is we've simplified the process of working in the model, of working with the data. That's why it's a touch and click, and we're able to access the data.

In the demo I'm going to show you here in just a couple of minutes, we will actually show you a little bit about how we have this model set up and how we can use the facility templates to create actionable data that's going to give us better insight. So we've talked a lot here. We've talked for the last 35 minutes on smart data, but this descriptive Digital Twin ontology is we want to know the asset system in space.

So if a VEV box goes out, we need to know what space is affected. We need to know what system that is, and we need it to go all the way back to the air handling unit. Or we need to know-- on a fire alarm panel, we need to know where the smoke is. We need to know what doors are going to shut in the event of a fire. All of this type of information, everybody talks about the water leaks. What if we actually had the valves in there, in their correct locations, and it's tied to the system, and we can actually go see the space that the valve is in?

We can actually do that representation, and how the systems relate to each other, that is going to be the power of the smart information data model or our descriptive Digital Twin. And hopefully, the outcome of Smart Digital handover is going to help us even become more transparent. You know, BIM has helped us work together. But what we truly need to do is accelerate the handover, so that we can accelerate the operational readiness of a building, so that we can provide the owner with detailed facility information faster than we ever have before.

With Tandem, I truly believe we can do that, if we set everything upright, if we look at the data that an owner needs. We're going to be able to accomplish this, and we're going to be able to change the way we hand over data to an owner. So real quick, we're going to go to a quick demo here, and you will notice-- whoops, let's see here. There we go.

As most of you all know me, I'm not the best with technology, but we're good. We made it through here. So here is our demo building, and as you can see here, we've got it set up. We've got items classified, and then we actually have our facility template set up. And you see here, asset data that I've got mapped, asset links, and space data down here as well.

So I can actually look at the actual room names, room numbers, floors, room departments. We can actually start looking at this data. And then, if we come here and click the Manage tab, we can actually get into our data. This is the screen you saw before, and then you can actually see some of the simple categories, unit class. And then this is my very simple operational data one that I have, your custom attributes, what you want to do.

Then, if we come over here to parameters, then here is that library of parameters that we have, and you can see here, we have a pretty robust list. We can sort by category, by data types, by context, even by name. So we give you the ways to filter this.

If we want to look for manufacturer, we can search right here and bring data up really quickly. And then, in turn, we're able to work with these facility templates and then actually specify what parameters that we want to use inside of each description inside of each code inside of each template. So you can see right here, I have different ones for the space management versus the asset management. You see here, there's completely the same or completely different. I'm sorry.

You all know me. I make mistakes. I can't help it. So this is what's really cool, so how do we use this? How do we make this work?

And what we can do here is we can come and touch this energy recovery unit, and this is the same one that we showed you before. Here, it's on the roof, and it's on the East roof. And then we actually can show the relationships, and then we also show the design properties of this asset. But what this allows us to do is organize the data in a way that the owner wants it, so that the owner can see it. And then you have the ability to set different views.

So if we want to see all of our assets right here, we can actually look at all of our assets, and we can start looking at data, working with data, and understanding data, and actually, turn off my ghosting here. And then we can run reports on the data just this fast right here by hitting export over here, and then we can grab this data out, start using it, start taking it to different ways. Now, one of the other things that we can do is we can actually set up facility tech views and start coming into the different rooms, start looking at different assets as part of this.

We can start looking at different systems, and we can look at the duct and piping system all tied together, color coded for the colors that we want. So using this data and starting looking at the information, by having smart data, it's going to allow us to start looking at the building as a hole, connecting the systems, connecting the spaces, connecting the data and allowing our owners to have more actionable insight, so that they can better manage their facility. Coming to Tandem, and working with the Tandem team, it's really opened my eyes to what we can do with a model, to what we can actually do with the process.

So as we move forward, feel free to email me questions. Feel free to ask anyone on the Tandem team about the facility templates, about the data, anything that you want to know. Feel free to come, and we'll be open and honest as we can with you about what we're trying to do, and how we're trying to move forward, and how we're trying to position in the industry.

So thank you for listening. Like I said, if you've got any questions at all, feel free to contact me, Mark Mergenschroer, Autodesk Tandem team, and thank you for your time. I hope you got something out of this. Please, leave feedback, and I hope you have a great day. Thank you.

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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

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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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