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In Pursuit of the BIM Lifecycle Dream—Revit to BIM 360 Glue to BIM 360 Field to Building Ops

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Description

The class will cover the workflows and considerations needed when setting models up in Revit software for export to BIM 360 Glue software to enable these to be used in BIM 360 Field software and then Building Ops software with asset management and operations and maintenance in mind. The presentation will look at how certain data doesn’t flow across the platforms, and we’ll demonstrate alternative work-arounds you can undertake to overcome this. The presentation will look at how to set up your Revit project with the mindset that the models will be used on iPads in BIM 360 Field software, and then we’ll look at how the data will transfer across into the Building Ops application. We will also address which application the data is generated in and we’ll look at examples of who populates this information. We will explore the differences in the Building Ops model viewing appearance, and the considerations that you may want to make when setting up the model at the start of the project with BIM 360 Glue software, BIM 360 Field software, and Building Ops software in mind. This session features Building Ops, BIM 360 Field, and BIM 360 Glue. AIA Approved

Principaux enseignements

  • Understand Revit setup for export to BIM 360 Glue and into BIM 360 Field for data capture
  • Understand Revit setup for push of models and data through to Building Ops for handover
  • Understand where data doesn't flow through platforms—but gain work-arounds to overcome this
  • Understand Building Ops structure and the implication this has on project setup

Intervenant

  • Brett Naylor
    Brett Naylor has been working for over 18 years within the design and construction industry. With a background in architecture, he has been part of multidisciplinary teams delivering capital projects across aviation, rail, commercial, education, and industrial sectors. Latterly in his career, Naylor worked in the United Kingdom for a Building Information Modeling (BIM) consultancy engaging with facility owners and operators, design consultancies, and contractors to help them understand the benefits that BIM can bring to all stages of a project and how to best negotiate the transition to this new project-delivery method. Naylor joined Beca Group Limited—one of the largest employee-owned Asia Pacific engineering consultancies—2 years ago to lead the implementation of BIM across the business. As part of his role, he works with clients to help define the information delivery requirements for their projects, and he also undertakes the role of project information manager.
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Transcript

BRETT NAYLOR: All right, then, can everyone hear me OK at the back? Good afternoon, and firstly, thanks every so much for choosing to come and see this session, especially when there's so much on offer out there. And no doubt, you [INAUDIBLE] like me, you've got about three things all that you want to see at the same time, so I really appreciate you coming along to see this.

The presentation that we're going to be looking at is actually based on a real-life project. It's the first of three that we've started to deliver, and it's going to be handed over in December, all being well. We're effectively looking at the movement of data through four different applications. So that's Revit, Glue Field, into Building Ops, with the intention of having a really good data and asset handover for asset management and operational purposes.

We're going to be undertaking, just for the first few slides, just a quick poll. Well, actually, sorry, it's in a couple of slides-- a poll just to understand who's actually in the room. It will be really interesting to see which industries you're from, what your interests are about attending this session as well.

But just as a bit of a first overview on Beca-- so I'm a technical director with Beca. I'm responsible for the-- I suppose, the technical implementation of building information modeling within our business. And that involves implementing the latest technologies, making sure the processes are all in place for people to use the technology effectively, and also working with our clients, as well, to help them understand what building information modeling is and what benefits that they can get out of that process through design, through construction, and into asset management as well, and operations.

In terms of who we are, we're based in New Zealand. We've got about 3,500 staff now. The headquarters are out of Auckland, and we've got about 2,200 staff in New Zealand themselves, and you can see about 500 in Australia. And there's probably about 500-ish over the rest of Asia Pacific. We're one of Asia Pacific's largest employee-owned engineering consultancies.

So I'd really like just to get a bit of input from you, to start off with, please. So I'm sure you've seen some of these presentations before, using PollEv. So you can either text the number at the top there, or if you've got a mobile or an iPad, which you've got internet connection, if you just type in PollEv.com/brettnaylor451. Apologies about the long web address there-- I didn't quite know how to actually change that, but hopefully it won't take you too long to dial that one in. So it will be really interesting to find out whereabouts you're all based-- wow, OK.

Still going-- so a really strong contingency from North America; a few of my colleagues, down in the front, from New Zealand; and a couple of others, OK-- that's great stuff. Thanks for contributing to that. Next one-- what's your role in industry? Are you an asset owner? Are you an FM provider? Are you in design and engineering consultancy, subbie, contractor? Or are you a software provider?

And I suppose the final one is, what kind of experience have you actually had on the technologies that we're going to be talking about today? So have you used the likes of BIM 360 Field for just the construction management side of the application? Have you used it for construction management and information delivery for asset management? Have you used it for pushing into Building Ops, or have you just purely been using Revit and pushing that into Building Ops as well?

OK, that's pretty interesting to see, actually, that most people who have been using Field have been purely for the construction management side of it. So obviously, today's presentation is really focused around how we've been moving data from Revit into Glue, just as a process, then through into BIM 360 Field, capturing the data from the models that are already there, that's useful, and then also adding extra data in that's not necessarily input in the model environment, but that's put in outside of the model environment, but you want to be linked back in. So OK-- hey, thanks, everyone, for your input into that.

OK, so a bit about the client that we've been working for in delivering these projects-- they're a company called Precinct Properties, based in New Zealand, headquartered in Auckland as well. They've got about 12 buildings in their portfolio at the moment, and approximate value is about $1 and 1/2 billion, although that's increasing rapidly, because they've got quite an aggressive build plan. And they've got about 17,000 people employed in the buildings that they own across New Zealand as well.

The project we're actually going to be talking about today is this one in the bottom left-hand corner here. This is called the Mason Brothers project. It's on Wynyard Quarter in Auckland, down on the waterfront. And we've got a second project that's just starting up in January. The code name for that is 5A.

And then we've got a project on the right-hand side, which we're talking to them about-- that nice, new, shiny glass tower block called Downtown or Commercial Bay, and that's worth about $400 million. So they're a pretty comprehensive asset owner. The project, in terms of giving you a bit of relationship of where the project is on the site, the darker-colored orange building there is Mason Brothers, and you can see the other developments that are all scattered around that particular area.

And just to show you an older version of an area pano-- I hope that doesn't make you feel too sick. But this is the waterfront, the Wynyard Quarter down in Auckland. And this is the building that we're talking about. So it's actually an existing building that was stripped, gutted back, and then completely refurbished from top to bottom, and with a bit of an extension to that as well.

OK, the role of what we were doing on the job-- because Beca are an engineering consultancy, so you're probably wondering, well, why are you implementing Glue and Field through the construction phase and actually doing the asset information handover? Well, the client was obviously really interested in actually getting a decent handover for their operational activities, but they weren't too sure how to do that. So they actually engaged with us to walk them through that process, help them understand what they could get, and then the best ways to do that.

So we define this role on the project as being an information manager, effectively. So we started with them. We looked at what information was critical for them, for operations, and maintenance, and asset management. And then once we'd done that, we then chose-- the best products to use to actually deliver this information through the project lifecycle was going to be BIM 360 Glue and BIM 360 Field.

Then as part of that, once we'd implemented and set the technologies up for asset information capture, we actually trained the subcontractors and the contractors in the supply chain on how they were going to be inputting that data into BIM 360 Field as part of that progress, as part of the project progression. And then when we were going through the project, what we didn't want to do is just get to the end and hope that we had all the information within the models and within the field environment that we needed for handover. We needed a way that we could actually start to report on the data completeness that was, A, going to be generated within the model environment, and, B, also generated outside of the model environment.

That was critical for us at management, and I'll show you some of the ways that we've actually achieved doing that as well. The whole purpose of this was to give them a good handover. The client had reviewed several different applications around the marketplace. But they were either too complicated, they were too expensive-- nothing really worked for them.

So when we initially started these conversations off, Building Ops wasn't around, OK? It hadn't even been released yet. So we were intending to give them, effectively, a neutral information drop that they could then use in whichever way that they wanted to when they decided on the application they wanted for operations and maintenance.

Then Building Ops came on the scene. The client, being quite proactive, actually found out about this. We went down to see them, ran through a proof of concept with how this could potentially work for them, and that was chosen as the methodology that we were going to be delivering into. And so this presentation is going to walk through the whole process that we've actually gone through to get the information from, actually, the models, through into Building Ops for a handover.

In terms of the process then, luckily, in New Zealand the primary products that we use are Revit, across most of the industries, most of the services. In the construction stage, the structural model was Tekla. But that wasn't really an issue. We just used an IFC model that came through into Revit, converted that, and then we were able to federate all the data within one Revit model, effectively.

And then we pushed the file straight through into BIM 360 Glue, which, if any of you are familiar with that, it's a cloud-based application, which is really useful for coordination and collaboration between dispersed project teams, OK? So once the information was in there, we effectively pushed the data through into field. Just before we did that, though, within BIM 360 Glue, we were able to start to specify all the assets that were in the model that we actually wanted to know about for handover, based on the client's requirements.

So we set up a whole load of these called equipment sets, OK? So you basically-- it's like a search set whereby you say, find me all of the fan coil units, or find me all of the chillers, or find me all of the distribution boards. Then once we've done that, we then push the information through into BIM 360 Field, which is, again, another cloud-based application.

And in there, you then start going through this process of pulling out information that's already in the model because, as you know, you don't want to recreate information if you've already got it available to you. There's just no point. And that's where we actually set up the rest of the templates, within the field, for people to capture the extra data against it that we want it to capture.

And obviously, once we've done that, even though it's a cloud-based application, we can still pull those models and all the data down onto an iPad that we can take out onto site. So we get the latest information to site. And we can also access all of the asset information, that you've been mapping in the previous steps, through a web browser. So you've got flexibility in terms of how you get the information and how you also populate that data back into the model environment as well.

I'm just going to go into a little bit more detail now, through the presentation, on what we actually did to achieve that. As we weren't effectively working on the project, in terms of delivering models, as this information manager role, we would receive all the discipline models through weekly or every other week, depending on the progress of the project. So we had individual discipline models.

And then what we did is, we set up a federated Revit model. So this was, effectively, a container file where we brought all the different discipline models into the one area. And this was the easiest way for us to contain and control new revisions of the models that were coming through in this particular stage here.

And it's within here that we set up, actually, most of the setup for moving the information through into Glue, into Field, and then into Building Ops. And the process that I'm going to be talking to you about during this presentation is just one of the ways that you could do this, but it was probably the most effective way. We actually looked at all sorts of different workflows, at different stages of the project, to see if we could do things differently. But we actually settled on this as being the most effective.

So once we'd done that within Revit, we then created a whole load of 3D views, effectively, of all the discipline models. So we started to split those all out. And then within there, we also started to split out the individual floor levels as well. And the purpose for doing that is probably twofold.

The first one was actually-- when you're taking quite large models down onto site on an iPad, you don't wan to have a whole building model on there, because the iPad will struggle, and it will crash. So that's going to stop your progress straight away. So we split the models down, so they're more easily handled by mobile technology.

Then once we've done that, we push those models from BIM 360 Glue, from the model area into the merged model area. So effectively, we take the architectural level at ground floor, the structural model at ground floor, the building services models, all at ground floor, and federate them all in together, into one file. And then once we've done that, we can push that through into BIM 360 Field, where we start doing a lot of that advanced asset and equipment mapping, getting it ready for handover. Once we've done that, you can then make it available for the iPad and, obviously, through the web interface as well.

Naming conventions-- we had a quite a strict naming convention for the models that we're getting as well. When we came onto the project, there was no convention at all. But as soon as we came onto the job, we actually put in place a naming convention for the models. And that model naming convention also fed through into the naming convention for the views that you can see here.

So we effectively set up an individual view within Revit, which was specifically for structure, architectural, mechanical, plumbing, electrical, and fire, ground floor, first floor, and second floor. And so we had a consistency of naming conventions, whether it was a model or a view. Now, the reason why we did this is, you'll see a bit later on, it's how this data and this information is displayed within the likes of BIM 360 Glue.

As part of that setup, we actually created a whole load of view templates. And this was the easiest and most stable way for us to start controlling the look and feel of that information as well. So we had a whole load of individual view templates for the 3D views, effectively. As you can see, that's highlighted in that red rectangle.

And in there, we effectively-- the only thing we did was to control the visibility of the models that were displayed. So in this example here, I've got a Level 00MH mechanical drawing-- mechanical model, and it's only showing the mechanical model. So we hid everything. So we had a view which just had the information that we wanted about mechanical information.

And again, we also set up a whole load of floor-plan views. And again, I mentioned earlier on, we wanted to section our building into floor plans, effectively, for the use in Field. And actually, also, we needed to consider, further down the line from that, what we were going to do in Building Ops and how that information was going to display.

So we had three floor-plan views, effectively, at each level-- one for architecture, one for services, and one for structures. We'll come onto why we did that. So in those view templates for each of those levels, for each of those disciplines-- say, architecture, services, and structures-- the view template, we only really use that to control the view range. So as you can see here, unlike the previous view template for the 3Ds, everything's selected there because it didn't affect it.

But what we were concerned about is the actual view range themselves. So it was in here that we set up a whole load of different parameters for our view range, depending on what level the particular 3D view was requiring to be at. And as you can see on the right-hand side, those are just some screen shots from the particular view templates, depending on if they were at ground floor, or first floor, or second floor.

And this is here. This is structures, so the previous one was architecture. The structural one is slightly different. The reason why they're all slightly different is we found that we had issues later on down in the project lifecycle of creating all this information and mapping all this information. We wanted to see in BIM 360 Field, when we took the iPad down onto site, we wanted to see the floor slab of the floor you're on. And we also wanted to see the floor slab of the level above as well. That's definitely what you want to see.

But when you push that information through into Building Ops, the last thing you want to see is just the floor slab above where the piece of equipment is that you're actually looking for. And then if you actually look from underneath, there's a ceiling there, so you actually can't see the asset. We'll come on to that a little bit later on.

An interesting one was actually the one that we set up for the services, because later on in Field, when we were pulling asset information from the model about all the services information, there were some assets that were sat on a floor level. So it could have been ground floor or first floor. And if we'd have cut the view templates at exactly the floor level above and the floor level below, it was double counting the equipment information, because it was cutting through the very bottom. So we actually went through, probably, about a day of understanding why we were getting duplication of information and things weren't mapping properly.

So that was a bit of a hard-learned lesson, but we got there in the end. So we've all got these slightly different cuts. But the good thing is, is when you bring all these models together on top of each other at different levels, they all join up.

So as an example, there we've got a mechanical duct-work model, and that's, effectively, a view. And you can see the top right-hand corner is just a screen shot of the whole model itself. That's showing everything at ground, first, and second floor. If we move down and look at the image below, we can see that's literally just showing that mechanical duct-work information at the first floor.

So in that view, what we did, we aligned the 3D view to the floor plan, which we created underneath this services template. So what that did was, effectively, used the view range from the floor plan for first floor. So that's why we were using the view range within the floor plan. And the reason why we're doing that is because that then we've got consistent cut information across all the levels, across all the disciplines, because we could have done the section cutting by eye. But you can guarantee you'd have had quite a lot of overlaps, or you could have even had disjoint between the different floor levels as well.

We actually went through several different iterations before we actually settled on the cut view ranges that we actually did, and that was just through trial and error. So when we get into BIM 360 Glue, we've got all these views here. So you can see on the left hand side, we've got the ground floor, starting at the bottom here.

We've got the mechanical. We've got plumbing, structural, fire, electrical, and architecture-- all separate views, so they're all individually controllable. You don't want to merge everything together, so you've got no control.

And then what we were able to do in Glue, once we push those models through, is we can create one merge model for the ground floor. And we did that across all the levels. So the large image on the center right-hand side of the screen is showing, in Glue, if we're sat in the ground floor model, you can see we've got individual ability to control, turn off, interrogate the different discipline models, as and how we wish to.

An then, as I mentioned, we did that, effectively, three times. So we, effectively, had three federated or merged models for each of those individual levels as well. Once we'd got into there, in that stage, we were happy that we could start pushing this through into BIM 360 Field. And that's when-- BIM 360 Field, we wanted to start mapping over that equipment and pulling through the asset information that was vital for asset management.

And just as a note, we actually didn't use BIM 360 Field for the construction management side of the application, which is incredibly powerful to do, and it's incredibly good at. We thought it was just one step too far for the contractors and supply chain to undertake. So what we looked at was actually maximizing the value that the client was going to be getting out at the end, and that was actually getting a good handover of information.

So jumping back, sorry, into Glue, to start setting up the equipment's mapping to say, we want these assets, and we want to pull them into BIM 360 Field, we were creating these things called equipment sets. So we looked at the different properties that you could select and use to create these equipment sets. You could use the family type, the family name, maybe.

There's a whole load of different parameters, and the one we settled on was actually the OmniClass title. We could have used OmniClass number, but we used title because the information comes through nicely into BIM 360 Field a bit later on. And we also, when we were naming the equipment sets, we decided to just to prefix the name of the equipment sets with the level that they're associated to. And that was just as a bit of an audit type of trail because when you get through into BIM 360 Field, and you're looking at all the equipment that's coming through, you can quickly verify to make sure that you've got the right data coming through, from the right levels, to the right places.

As a note, and this was a real-- it was a horrible thing we discovered one 4:30 on a Friday afternoon, is the modelers, actually, that were creating these models had been using the old OmniClass taxonomy. And we actually asked them to go into a bit more detail, in terms of the granularity, with the naming of the assets. And as you-- I think I heard a few mumbles there in the crowd. We had to actually get them to install the new taxonomy, which then threw out all of our equipment mapping we had created.

So we spent that whole weekend mapping over the new OmniClass names, based on what we'd already done. So just as a-- if you're going to do this, make sure you're using the latest OmniClass taxonomy within your Revit environment as well. That's a hard learn to experience, that one.

So once we'd created those equipment sets within Glue, this is, effectively, the display under the Equipment tab within the web browser. And it's within here that you then start to map information across from the models, and you can actually start adding an additional properties to those assets that you want to capture data against. So you can see here some of the familiar names.

We've got 00-Fire Dampers. So that's all the fire dampers at ground floor, effectively. Part of the other setup that you need to do within BIM 360 Field, if you're looking at the equipment side, is setting up your categories and your types. So top right-hand side of the slide is effectively showing the category of the mechanical equipment. And underneath there, we have several different types, and I'm selecting Fan Coil Unit.

And I'm going to walk through the life of a fan coil unit. And if you've ever seen me present before, you know I always talk about this because it's a good example. So if you follow that green arrow over to the top left there, we can see, when we've selected those equipment sets that's coming through from Glue, we assign them to the type and category of fan coil unit.

Then we move down, and when we start to say, we want to create a dynamic link between the model and field, there's lots of different options. And I would have liked to have been able to choose the asset ID, unique asset ID. But at that stage of the project, we didn't have unique asset IDs for all the equipment we wanted.

So we chose to use the advanced option and choose the GUI. So there's always going to be that link between the model options then, which was cool. So that's the way that we did it.

And that's important because, obviously, if you update your models, you want the GUIs to stay the same. And if you put in extra information within field, you want-- that GUI link is what enables the information to come back from BIM 360 Field into Glue, and then back into the Revit environment as well. This is a slide which is, effectively, showing the column on the left-hand side is the Revit parameter. So if you use Revit, you'll probably be pretty familiar with some of those.

And then the column on the right-hand side is the field parameters. So as I said, there's no point in creating information if it's already there for you to utilize. You might as well utilize it. So it's at this stage here that we start to map information across.

So if you've selected an item in the model environment, if you looked at the layer information, that actually was the level. So we said, well, use the layer information from the model, and display that as the level information within BIM 360 Field, because the object should know, effectively, where they are. And the item type should be the description. We'll come onto that a bit later on, item type.

Again, you've always got to have the mindset of where this information is going and how it's going to be displayed down the line. And I'm referring to how this comes across in Building Ops later on. So this is an example of how we mapped everything across. And again, you can see here in Revit, we've got OmniClass title, and we actually named them Classification Name. We could have been using a different classification system, other than OmniClass, so that's why we named the field parameter as classification in that instance.

So the equipment mapping, once you've gone through field, you can then pull all the information through that you've specified from the Revit model. And you can also add in, as I mentioned, some additional parameters in there which you want to know about, but isn't applicable to be added in in the model environment. So it could be information on barcoding. It could be installer, warranty start date, supplier, all that kind of stuff. So this is where we added in additional information that we wanted to capture.

And then, back in BIM 360 Glue-- and if we've got time at the end, I'll fire up some of these applications-- you get this additional Equipment tab coming on the Properties panel, that you're able to interrogate the property information that's coming back through that's captured in the field, using BIM 360 Field, into the model environment as well. So you can start to see here, this is the data that's effectively mapping back from BIM 360 Glue-- back, sorry, from BIM 360 Field into BIM 360 Glue.

So I was talking about how you've got to be mindful of how the information maps across. In this slide, underneath the Asset Identify column, we had unique asset IDs for our fan coils. So that's Fan Coil Unit-L0, level 0, and Fan Coil Unit number 1. This image here, you see in the foreground, is, effectively, a screen shot of Building Ops. So you need to think about how that information's going to display and map across to the Building Ops environment, both in the web browser and on the mobile phone as well.

So you can see the asset identifier that's being pulled through from the Revit environment into Glue, into Field, is then pushed to that larger piece of text that you see in the asset list on the screenshot from a mobile phone. And the description is an interesting one, actually, because that actually changed. I think the mapping of that changed about three or four months ago. But luckily, it was stable for this exercise.

So you can see the description that's coming through effectively from the Revit model there, which is a combination of the Revit family and Revit type. And also, I think, the category, if I remember, from field is displayed just underneath the unique asset ID within Building Ops. This is a display.

If you would have clicked on Fan Coil Unit 1 and then gone into that next display screen on Building Ops-- and again, I'll try and show you this later on-- then this is the displays that you get. So you've got to think about how that information is going to flow through and it's going to look, because you don't want a whole load of jumbled information on your asset list. Otherwise, it's going to be no use to anyone.

Then what we've effectively got here is just showing where that information is coming from. So underneath, on the right-hand side, where you've got the description, it's pulling the Revit name, the Revit family name, into those red boxed areas. The purple-ish bluey color is information that's coming in from the category, back and Field, that we mapped. And the green box is, effectively, the model number for that particular fan coil unit, which is what we named the Revit type.

So we have to be really mindful about, actually, how we named our families and our types as well, back in the Revit environment. There's quite a few things that you need to consider. And again, Building Ops is available based on the mobile phone and through the web browser as well. And you can see, the top is the display of the Fan Coil Unit 1 on the mobile, and top right, larger images, how it displays in the web browser too.

AUDIENCE: Was the strategy for all that naming convention something that was decided very early on and given to the design team?

BRETT NAYLOR: No, and I wish it had have been because we were-- unfortunately, we weren't brought on board until they'd already started building, all right? So this was-- luckily, we were working with a team based in Auckland who specialize in construction modeling, a company called asBuilt. And we were able to really work with them and talk them through the process that we were going through. And they were able to name the assets that we were needing to know about in this way that worked well with our workflow to get the handover. But it would be great if we got all this stuff sorted out from day one.

I have to say that the design consultants models-- you know that BIM nirvana of the design models, just hand it over to construction, and they continue with them? No, they got handed over, and then they got binned. And there was a good reason for that, but anyway, let's not muddy the water.

Just as an aside, we were going through this process one weekend, and we were starting to map all this data through. So we were like, well, we just need to make sure that we're getting all that information out of our models, through into Glue, and through into Field. So myself and a colleague of mine, we locked ourselves in what we called the war room, and we plugged our laptops into a TV, and we used Excel Online-- so effectively, Excel Office 365.

And we listed out, all on the left-hand side here, all the types of assets that we wanted to know about. By the way, this isn't an eyesight test. You're not expected to be able to read any of this. And then what we were able to do is, through Revit, we knew exactly how many assets we had in that environment. So we knew exactly how many assets we needed to be able to map through into Glue, so we were able to check that to make sure that was working.

And then we also knew how many assets that should be ending up in Field. So we were actually able to use this as an interactive way to verify the information flowing through those different applications. Oh, what's that? Just close that down. Thanks, Phil. I've got the man in the room that can sort this stuff, though, thankfully.

And we were able to use this as a process-- really interactive. So we were both working in the same document at the same time, checking the data, making sure, verifying that it was correct. OK, so some of the issues that you do have with these products, unfortunately, you would expect that equipment that knows which space it's in, in Revit, for that information to flow through into Glue. It doesn't.

So to get around that, we looked at a couple of different options. The first one was using BIMLink to pull the space name and space number of the object out of, I suppose, the in-built Revit parameters, and into two shared parameters which we set up for space name and space number, OK? And because they were shared parameters, custom shared parameters that we had set up, that information then flowed through Glue and into Field.

For them, there was a better way. So we actually were able to use Dynamo, far more automated. So every single time we got a revision of models coming through, we could run it through the Dynamo script. The Dynamo script would look at the models, suck out the information from the default Revit space name, space number, push that information into our custom parameter, job done. So it was just a more efficient way, even, than the BIM link, which is obviously a great application, for those who use it, as well.

Right, so what about the data flowing back the other way? So how did that work? We didn't just go--

AUDIENCE: [LAUGHTER]

BRETT NAYLOR: Oh yeah, you kind of expect it to work like that. It didn't, but that was all right. Actually, it worked pretty much easier than that, to be fair. So we were expecting that you could drop a whole load of models out of BIM 360 Field. But what we want to do-- and as I say, we're handing this project over in December-- is we want all that really good data we're capturing through construction to go back into the Revit models because if there's ever work done in the future, then the designers have got the information that they need.

But we also want some Navisworks files, and that's easy. So to get the information back into the Revit environment, we didn't go through Glue, from Field, go into Glue, back into the federated environment, back into the federated model. Quite simply, you just open up the last issued, as-built, single-discipline models. And in Revit, you can just import that equipment straight back in, easy.

And in Navisworks, you can just pull the data back down if you want a federated model. But once you've got to this point, to be fair, you just create an NWC file, NWD files, and have a federated model. And away you go, easy.

OK, so just some of the lessons learned along the way-- as I mentioned earlier on, you don't necessarily want-- you want the floor slab of the level above and, obviously, the level you're on in the scene. But when you push this stuff through into Building Ops, actually having the floor slab of the level above-- and I'll show you-- in the way is actually kind of counterproductive, because you can't see what you're actually needing to see. So you sometimes want that in Field, but you don't necessarily want it in Building Ops.

So before we did this final-- or we will do, and we've already tested it-- well, before we do this final push of the last model information from Revit, through to Glue, through to Field, and into Building Ops, we're actually going to do a little bit of tweaking of some of the models within Revit. So we're going to actually make some of the ceilings transparent because, again, there's no point in being in Building Ops and looking up at a ceiling when you're trying to see a piece of equipment. We're also going to-- we actually, originally, had some specific view templates set up, specifically for the export to Building Ops from Revit. But it was a bit heavy handed, to be fair.

So we're going to prep some of the models a little bit before we do the final push to get them through into Building Ops for handover. So I've mentioned ceiling transparency. There is a bit of a difference between the web and the iPhone. We'll come onto that.

Materials appear on the web. The graphic-- I think it must be the large-model view of the graphic, the 3D model that you get within the large-model view is brilliant, to be fair. The quality is superb, and it maintains the materials. But on the Building Ops, because it's a different model engine, it brings through the default colors. But I don't really think it's too much of an issue.

If you try and hide objects in Glue to think, well, if I hide the floor slabs in Glue, and push it through to field, and then into Building Ops, that'll be good-- doesn't work. So that's why we have to do it back in Revit. Transparency overrides is the same.

So if you make change of color in Glue, it doesn't retain going through Field and into Building Ops as well, hence why we did the final manipulation in Revit. And section overrides as well-- yeah, they don't work, unfortunately, hence going back into the Revit environment for that final push through. These are all hard lessons learned, with quite a lot of scratching of heads.

AUDIENCE: Should you submit those to Autodesk, or that's not an issue?

BRETT NAYLOR: Yeah, we've actually-- to be fair, Autodesk has been awesome. So we've been working with their development team on Building Ops, met them earlier today. And we're in really close connection with them, and we're helping them work through some of these issues.

And in fact, some of the issues with the model transparency and the differences that you get, talking to some of their developers today, they're like, oh, we reckon we can sort that, which is awesome. So no, they've been really responsive. I mean, what a product. It wasn't even around a year ago.

What is it, $150 per user, per month, compared to some of those big enterprise solutions? It gets you thinking, doesn't it? OK, so this is a view, effectively, from a mobile phone, looking at me old fan coil unit that you can just about see, in blue there.

At this stage, I haven't made the ceiling transparent, admittedly. But you can see, this is the large model viewer on the right-hand side, showing the kind of graphic quality that you can get in there. I'll come on and display those live, if I can do, if the technology works, in a minute.

But I mentioned earlier on, we're acting as this information manager role, and we wanted this digital handover of asset information to the client. So what we didn't want to happen was the contract to be-- yep, it's all there, subbie's saying, yep, it's all there-- get to handover, information's not there. I'm sure if you're a project manager or an owner, operator, of facilities, then you've possibly been in a similar situation to that.

So what we're able to do is we're able to start to utilize the data that we've been collecting and reporting on it. So the first step of that was actually exporting up in 360 Field, the assets and the asset information that we wanted to know about, into Excel, which was all right. You could do pivot tables and things like that.

And the next step on, I had a chat with my colleague Phil down at the front here, who put me in contact with one of the guys within Beca who-- you know, part of the team that actually writes software for the military. So it's pretty diverse engineering company that, actually, I work for. And then we start to look at Tableau for dashboarding. And we dropped a whole load of static data out of Field and we put it into a dashboard within Tableau, and we were able to digitally report on percentage completeness of the digital information against the assets that we needed to know about.

Then we decided to take it one step further. We didn't want to have to necessarily do that every single time we wanted to report. We wanted this thing to be automated, right?

So some of our developers took the BIM 360 Field API, API directly into BIM 360 Field. We then hosted the data onto Azure, SQL Azure. And then we pushed that through, live, into Tableau. So we could do this every minute. There's not much point. So every midnight of every day, we do this pull from Field, onto Azure, into Tableau.

I'm going to show you that now, what that looks like. Now, there's a few iterations and changes I'm actually going to be making to this when I get back to Auckland. So hopefully this will come across. OK, PowerPoint doesn't like to be closed down on this machine, for some reason. Please bear with me a second. Righto.

There we go, good. Sorry, guys. Where's my mouse gone now? Next problem-- there we go, OK. So you can see all the applications that we use along the top there, from Autodesk.

If I click on Tableau and sign in-- so this is Tableau online, effectively. So we're going straight to the cloud again. So what's interesting-- I've just been showing you a project that's based in Auckland. The information sat on a server on the West Coast of the States, and we're in Las Vegas. And we could comment and review, check the data, check the information.

So we're going to dial straight into Tableau online now, just to show you what we're doing. This is digital reporting of information, so we can actually see how things are tracking. We've got transparency on that really important deliverable.

That's the project. Again, please excuse me. There's a few-- it still, it's 90% there, but you'll get the gist of it. So this top area here is, effectively, a list of all those types of assets that we wanted to know about. That's coming through from BIM 360 Field, so that's the stuff the client needs to know about for asset management and operations.

And if I hover over Fan Coil Units, you can see that we've actually got 54 fan coil units in that facility, which is cool. If you just scroll the mouse up a little bit, you can see that on average, across all those fan coil units, we're 42% complete on the data that we require for asset management. Down this left-hand side here, these are all the fields. And you can see an average across all those assets that's complete.

So basically, a blue bar is 100% complete. And the less of the blue that you see, the more incomplete that particular asset is. If I click on those 54 fan coil units there-- good, it didn't crash through the web interface. Then you can actually start to see, just for those fan coil units, the percentage completeness.

And if I jump over to type complete, we're actually adding in some extra features and functionalities of this as well. Then I can choose the type of asset that I want to interrogate here. So I'm just going to look up my fan coil units.

We can see that, on average, we're 42% complete. And yeah, there's 54 of them, cool. But look, left-hand side here-- the individual assets, we can actually see how complete they all are because some assets might be further down the line, in terms of completeness, than others. So I scroll down, you can see. You get to the bottom, and these ones are lagging somewhat as well.

OK, let's close that down. Just to show you BIM 360 Glue-- and the reason why we actually, as I mentioned to you earlier on, went to all that effort of splitting up the views is because you can come in here. You can turn off the structure and the architecture, and I zoom in on the interesting stuff, the services. Right click and go to View Properties.

OK, live demonstration-- it's typical, something doesn't work. I did show you a slide earlier on with an Equipment tab there, which is the information coming back through from BIM 360 Field. You'll just have to believe me-- it does work. How are we doing for time?

AUDIENCE: [INAUDIBLE]

BRETT NAYLOR: Have we got-- 14 minutes, thanks. As we've got some time, let's have a look at BIM 360 Field if anyone's interested. Has anyone got any questions so far?

AUDIENCE: The percentage completion you're showing in Tableau, is that-- that's not related to whether equipment has been installed, but rather to the completeness of the information that we need about it, or both?

BRETT NAYLOR: Yes, so no, the items have been installed, because we were doing this through the commissioning stage. So effectively, it's what's been installed. It's just the data that's actually been captured against them.

AUDIENCE: And everything needs to be 100% in order to be considered acceptable for the owner to--

BRETT NAYLOR: Exactly.

AUDIENCE: --pick up.

BRETT NAYLOR: Exactly. So I'm just mirroring my iPad now, onto the projector. If I open up BIM 360 Field, you can see these are our floor plates, our models. If I click on Ground Floor, we can take this stuff down to site, and it's proving really, really useful.

I'm just going to quickly-- I'm not going to show you all the features. I'm going to hide the architecture again, and hide the structure, and zoom into-- well, I might as well zoom in, for consistency, to my old fan coil unit there. There's other equipment, obviously, that's been mapped.

We've got information coming through from those Revit models. But maybe more importantly, this is the data that's-- you can see the populated fields. That's the stuff that we're already re-utilizing from the model environment. The stuff that's blank is the stuff that either the subcontractors will put in on the iPad on the site, or they'll put in through the web browser.

And we can also click on-- if I click on Bar Code there, I'm actually able to scan, click on the virtual object in the model, and stand underneath the physical object, scan the bar code that's associated to it-- which is obviously some of the basics for asset management-- and create that link between the virtual object and the real-life object. And why is that useful? I'll show you that in just a minute.

If I come into attachments, we're uploading the information in there that the client needed. So we're not going fully, fully digital because that would be way too much to ask for. But what we're doing is we're going, well, we'll take everything electronically. So we'll take the commissioning documents, we'll take the O&Ms, we'll take specifications, the technical submissions, and we'll upload them against the relevant assets or the relevant systems within the environment.

So in here, we're effectively linking documentation to the relevant asset in the system. Why do we want to do that? Well, if this will work now, I'll plug my iPhone in. And if this will work, it's actually at this stage where you hope no one sends you a dodgy text message when you're displaying your phone screen.

No, my colleagues down here are reaching for theirs, please, OK.

AUDIENCE: [INAUDIBLE].

BRETT NAYLOR: Yeah, I'd better hurry up a little because the more time I spend up there, the more time I've got likely that someone is going to send me something. OK, so Building Ops-- if I click on the app there, what's cool about this is I've just done this drop now, so I can demonstrate to you guys in the room what we're doing.

So this is a partial handover. So you can already see the kind of stuff that you're going to be getting. So this is Mason Brothers, the project. If I click on Assets, this is what you're seeing on-- this is my mobile phone now.

Click on Assets. This is all the assets, so there you go, at your fingertips. This is what the client wanted. He spent hours, and hours, and hours every week running across site, going to the lift, going to the basement, or going to the plant room to look for the information that's sometimes not there, because someone's already taken the information away. All the information he needs to run his facility, the critical data, is at his fingertips here.

So if I click on Fan Coil Unit Number 1, let's follow the journey of me old fan coil unit. Scroll down to the bottom. We can see the information that's currently being captured that we require. You can even hyperlink to websites and things like that.

Scroll up-- those documents, which I just showed you on field a minute ago, are right here at his fingertips. I come back, and what is pretty cool-- click on 3D Model. So you know why we have to have that-- always think with the end in mind? Well, you have to do that with these types of applications as well. So there's my fan coil unit. I've got a slot.

Even though there's hardly any ceilings in this particular building, we still made that perimeter ceiling transparent so you can see above it. And if I rotate around to the top, we've hid this floor slab so you can just get a bit of a better understanding about where that asset actually sits within the system as well.

AUDIENCE: What'd you do about vertical elements [INAUDIBLE]?

BRETT NAYLOR: Yeah, it's a really good question. So if you've got service risers, we have split it out this way to get floor plan views. You would get a cut-off. So you'd just need-- hopefully, your asset wouldn't sit between floor levels. But if it would do, it'd get cut off in the model, but you'd still see it on one of the levels, because it would still be associated with a level, OK? But yeah, that's a really good question.

If I come back, why would we want to bar code those assets? Well, if I just drop down top, right-hand corner, you can see a barcodey-type icon. I can scan the bar code on that physical asset. I'm standing right next to it on site, once it's been built. And what that will do is it will take you directly to the asset information for that particular asset, OK?

What you're also able to do within this application is you can start to raise tickets. So I might be a building owner or a building manager, for example. And I could raise a ticket against an asset that's-- you might have a piece of equipment that's broken, so you scan the bar code. It takes you to the information. You can then raise a ticket against that particular asset, and you assign it to someone, a technician.

They then get a message on their mobile phone that they've got a job to go and do. But of course, they can go to site. They know exactly what information that they need. They've already got it here at their fingertips. And they can close out that work, close off the ticket, and run through that whole maintenance and reactive maintenance process that way.

So I hope that's given you a bit of an understanding about the kind of workflows involved with going from Revit, to Glue, to Field, to Building Ops. There's quite a bit to it, but once you get your head around what you need to do, it works. It does work. And I hope you find it interesting, in terms of how we're starting to report on the information that's necessary for asset information.

In fact, on another project now, we're taking the construction information from Field-- so the issues, the QA/QC issues that are raised within the model environment. We're pulling data directly out of Aconex as well, because that's another platform that's being used on a particular job for one of our clients. And we're federating all that data into a dashboard so that you can look at it and know exactly where you are, without having to go here, or there, or everywhere to try and understand where the product is. Have you got any more questions?

AUDIENCE: Can you briefly talk about your Field to Revit? You have that linear arrow that looks beautiful but--

BRETT NAYLOR: Oh.

AUDIENCE: --how do you do that?

BRETT NAYLOR: So Field to Revit and back? So you've got all your information in Field. So yeah, you can basically, within Revit, open up those source models.

And then there's a-- I can't remember what it's called-- equipment, there's an install on the [? ribbon ?] for BIM 360 Field. It's Equipment Sets or something like that. And basically, it will just pull the data from Field project back into your Revit model. And it creates an extra sort of section on your Properties panel, of the information from BIM 360 Field that you've captured.

AUDIENCE: Thank you. Do you have to use Glue [INAUDIBLE]?

BRETT NAYLOR: As part this process?

AUDIENCE: Yeah.

BRETT NAYLOR: Again, bloody good question-- you do if you want to use Field, and that's a frustration. You used to be able to buy the product separately. But the way that Autodesk now packages them is, you can get Glue. But if you get Field, you've got to have Glue.

You can go Revit directly into Building Ops, and that might be an instance that you use it for existing facilities, where you're creating models of existing facilities, and you've got some documentation that you want to push into Building Ops. So that's one way. But if you want to use it as part of that full construction process and get the subcontractors and the supply chain populating that data in that they're creating anyway, into that one central environment, then you do need Glue and Field to do that.

AUDIENCE: You said you didn't use the consultant's [? pulse? ?]

BRETT NAYLOR: Yeah.

AUDIENCE: What was the reason?

BRETT NAYLOR: The reason? Ah--

AUDIENCE: [LAUGHTER]

BRETT NAYLOR: I should be politically correct.

AUDIENCE: No, [INAUDIBLE].

BRETT NAYLOR: Listen, they weren't that well-coordinated, all right, and they weren't that well-structured. And that's not just, though, those consultants that were working on this particular project. It happens, not just in New Zealand, but in every country. The industry as a whole is trying to get their grip on delivery models, rather than 2D documentation.

There's still too much modeling done for a 2D output in mind. The whole industry's got to really change that mindset for this stuff to really start singing. But we're quite lucky that we've got some pretty talented companies, actually, within New Zealand that can start to undertake this sort of work.

AUDIENCE: So you just created new account files, or did you redo the architectural instructions?

BRETT NAYLOR: No, so-- I should say yeah. Architecture flowed through because that wasn't really-- there was no information on that that we needed to know about for asset management. So those were OK, but obviously there was a huge coordination excise that still went through, in the construction modeling, with architecture, structures, and services. It was the models that we used, in terms of-- the structural model was a converted Tekla model, to IFC, back into Revit. And then the services models were all Revit models, but they were redone.

AUDIENCE: So architecture was [INAUDIBLE] updating the construction?

BRETT NAYLOR: No.

AUDIENCE: We don't get that either.

BRETT NAYLOR: Yeah, it depends on projects, I guess. But yeah, no, that layout had been pretty much done and fixed.

AUDIENCE: For the attached PDFs that went in angles, were you always attaching them and then moving them from Field into Ops, or were there cases where you were using some kind of hyperlink? Can you kind of describe the challenges related to that?

BRETT NAYLOR: Yeah, sure, so within BIM 360 Field, there's an area called the Library. And what you do is you set up a folder structure, effectively, within the Library. And you upload those documents to those relevant places. And then when they're in the Library, you can then link them to the assets.

And then when you do your Building Ops export, or from Field to Building Ops, it just takes all that data straight into Building Ops. You have to-- when you set up a portfolio in a building within Building Ops, there's about three clicks to do it. It's really easy.

AUDIENCE: So you definitely recommend doing that, as opposed to creating some other system where you'd hyperlink to [INAUDIBLE].

BRETT NAYLOR: Yeah, I reckon so. You can put hyperlinks in there, but yeah.

AUDIENCE: It works.

BRETT NAYLOR: Depends on what you're trying to do, I suppose, but you could do.

AUDIENCE: So then do those documents end up living on an Autodesk cloud server, or does the owner have them somewhere in their office network, but Ops is able to access it, or--

BRETT NAYLOR: So it will be-- so Field, obviously, is a cloud environment supplied by Autodesk. Building Ops is as well, so the information is still hosted in the cloud. But you can still use the information offline on your mobile phone. I haven't shown you the browser, but the browser still has to access the cloud information, so there is still the data set in the cloud. OK, so let's start on this side, and I'll come over to you guys.

AUDIENCE: [INAUDIBLE] projects are [INAUDIBLE] from the internet?

BRETT NAYLOR: Sorry, from where?

AUDIENCE: From the internet?

BRETT NAYLOR: Oh yes, yep.

AUDIENCE: I just wondered, do you run the process of the [INAUDIBLE] workflow simultaneously with a [INAUDIBLE] from the internet [INAUDIBLE] substitute one for the other?

BRETT NAYLOR: So again, good question, because lots of these products have that crossover, don't they? So you have to be very clear about what you do in Field and what you're going to do in Aconex. So yeah, we just make sure that we know what we're doing in each of those products. They're IFI still, until [? DOCS ?] sorts itself out within Aconex.

You can do the issue raising, QA/QC health and safety all within Field. So again, you just know which bits you're doing in those applications, OK? Does that answer your question?

AUDIENCE: Yeah, definitely. Just-- we heard this morning [INAUDIBLE] there's a probability that [INAUDIBLE].

BRETT NAYLOR: Not until, in theory, mid-December, which will be brilliant.

AUDIENCE: Cell phone [? service? ?]

BRETT NAYLOR: Yeah, definitely.

AUDIENCE: So in this process you didn't use-- in increasing the Field, you didn't use checklists or issues or anything like that [INAUDIBLE].

BRETT NAYLOR: No, no, and we did that because we were concerned that we were going to overload the supply chain. And we also just really-- because that side really benefits the contractor. Let's put it that way-- really smart, working for the contractor. So what we did was we focused purely on the value for the client.

And that's why we said, listen, we're not going to run with that for this. Maybe on the next job, but let's just get this stuff sorted first, in terms of the asset handover. And then that's where the value comes from for the client.

AUDIENCE: [INAUDIBLE].

BRETT NAYLOR: Yep, exactly, exactly.

AUDIENCE: Good. Excellent.

AUDIENCE: Autodesk builds Building Ops as a supplemental FM solution. Was there anything in your contract about going-- or did the owner have an existing facility maintenance management software?

BRETT NAYLOR: Excel, and they have a system in place for managing their subcontractors. But they decided to go down this route because it was so easy to use. Yeah, we're going to be looking at integrating Building Ops with some of the systems that they've currently got in place, so the financial systems-- try and tie the two up, but yeah.

AUDIENCE: Going forward, do you do this on all your projects now?

BRETT NAYLOR: I would love that to happen. For this client, yeah, it looks like they're going to standardize this as a method of delivery. The more people we show, the more people that want it. It just seems like a smart way to go.

Even when we train the subcontractors, I was expecting a little bit of kickback, if I'm perfectly honest, from them. But we got to the end of the session, and they were like, why didn't we do this earlier? So I was like, well, that's the biggest compliment you can get from the subcontracting supply chain. So that was good.

AUDIENCE: Once you've got all your files in a bin in 360 Glue, can you export that to Navisworks to do clash detection, or would that happen before?

BRETT NAYLOR: Yeah, you can. Yeah, you can. So you could do clash detection, actually, in Glue. But as a preference at the moment, I would use Navisworks. Work. So what you can do is you can connect Navisworks 360, effectively, to the project environment, pull the models down, and detect clash in there.

AUDIENCE: Do you guys do clash detection or--

BRETT NAYLOR: No, so we weren't commissioned to do coordination and design clash. That sat with this third-party organization that was effectively modeling for all the supply chain because not all the subbies have modeling capability. So this company was creating-- and all the models on behalf of the subcontractors and coordinating at the same time. So it was really effective, actually.

So you can do clash in Navisworks. Just integrate the environment. But yeah, we weren't commissioned-- purely as the information managers for that.

AUDIENCE: So has this company then come back to manage the model, as the building moves along or it takes out any debit types of renovations [INAUDIBLE]?

BRETT NAYLOR: Good question, we'll just have to see when it does change. But at least they'll have the information at hand to be able to give to the supply chain.

AUDIENCE: Maybe Building Ops will be managing a lot [INAUDIBLE].

BRETT NAYLOR: Yeah, so you would have to look at going through that process of getting the information, if it changes, back through into Building Ops and updating that, which you can do, because you can publish more information back into an existing project as well. OK, I think we've got to finish now. But hey, thanks very for your time.

[APPLAUSE]

______
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Nous faisons appel à Dynatrace pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Dynatrace
Khoros
Nous faisons appel à Khoros pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Khoros
Launch Darkly
Nous faisons appel à Launch Darkly pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Launch Darkly
New Relic
Nous faisons appel à New Relic pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de New Relic
Salesforce Live Agent
Nous faisons appel à Salesforce Live Agent pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Salesforce Live Agent
Wistia
Nous faisons appel à Wistia pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Wistia
Tealium
Nous faisons appel à Tealium pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Tealium
Upsellit
Nous faisons appel à Upsellit pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Upsellit
CJ Affiliates
Nous faisons appel à CJ Affiliates pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de CJ Affiliates
Commission Factory
Nous faisons appel à Commission Factory pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Commission Factory
Google Analytics (Strictly Necessary)
Nous faisons appel à Google Analytics (Strictly Necessary) pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Google Analytics (Strictly Necessary)
Typepad Stats
Nous faisons appel à Typepad Stats pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Typepad Stats
Geo Targetly
Geo Targetly nous permet de rediriger les visiteurs de notre site vers la page appropriée et/ou de leur proposer un contenu adapté à leur emplacement géographique. Geo Targetly se sert de l’adresse IP des visiteurs du site pour déterminer approximativement la localisation de leur appareil. Cela permet de s'assurer que les visiteurs ont accès à un contenu dans ce que nous évaluons être la bonne langue.Politique de confidentialité de Geo Targetly
SpeedCurve
Nous utilisons SpeedCurve pour contrôler et mesurer les performances de notre site Web à l’aide de mesures du temps de chargement de nos pages Web et de la réactivité des éléments successifs tels que les images, les scripts et le texte.Politique de confidentialité de SpeedCurve
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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Cookies visant à améliorer votre expérience grâce à l'affichage de contenu pertinent

Google Optimize
Nous faisons appel à Google Optimize afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Google Optimize
ClickTale
Nous faisons appel à ClickTale pour mieux identifier les difficultés que vous pouvez rencontrer sur nos sites. L'enregistrement des sessions nous permet de savoir comment vous interagissez envers nos sites, notamment envers les éléments de nos pages. Vos informations personnellement identifiables sont masquées et ne sont pas collectées. Politique de confidentialité de ClickTale
OneSignal
Nous faisons appel à OneSignal pour afficher des publicités numériques sur les sites pris en charge par OneSignal. Les publicités sont basées à la fois sur les données de OneSignal et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que OneSignal a collectées sur vous. Les données que nous fournissons à OneSignal nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de OneSignal
Optimizely
Nous faisons appel à Optimizely afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Optimizely
Amplitude
Nous faisons appel à Amplitude afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Amplitude
Snowplow
Nous faisons appel à Snowplow pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Snowplow
UserVoice
Nous faisons appel à UserVoice pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de UserVoice
Clearbit
Clearbit autorise les données d’enrichissement en temps réel afin de fournir une expérience personnalisée et pertinente à ses clients. Les données que nous collectons peuvent inclure les pages que vous avez consultées, les versions d’évaluation que vous avez lancées, les vidéos que vous avez visionnées, les achats que vous avez réalisés, ainsi que votre adresse IP ou l’ID de votre appareil.Politique de confidentialité de Clearbit
YouTube
YouTube est une plate-forme de partage de vidéos qui permet aux utilisateurs de visionner et de partager des vidéos qui sont intégrées à nos sites Web. YouTube fournit des indicateurs sur les performances des vidéos. Politique de confidentialité de YouTube

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Personnalisation des publicités à des fins de ciblage

Adobe Analytics
Nous faisons appel à Adobe Analytics pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Adobe Analytics
Google Analytics (Web Analytics)
Nous faisons appel à Google Analytics (Web Analytics) pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Google Analytics (Web Analytics)
AdWords
Nous faisons appel à AdWords pour afficher des publicités numériques sur les sites pris en charge par AdWords. Les publicités sont basées à la fois sur les données de AdWords et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que AdWords a collectées sur vous. Les données que nous fournissons à AdWords nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de AdWords
Marketo
Nous faisons appel à Marketo pour vous envoyer des e-mails dont le contenu est ciblé. Pour ce faire, nous collectons des données concernant votre comportement en ligne et votre interaction envers les e-mails que nous envoyons. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, de taux d'ouverture des e-mails, de clics sur des liens, etc. Nous sommes susceptibles d'utiliser ces données en combinaison envers celles obtenues auprès d'autres sources pour vous offrir des expériences améliorées en matière de ventes ou de service clientèle, ainsi que du contenu pertinent basé sur un traitement analytique avancé. Politique de confidentialité de Marketo
Doubleclick
Nous faisons appel à Doubleclick pour afficher des publicités numériques sur les sites pris en charge par Doubleclick. Les publicités sont basées à la fois sur les données de Doubleclick et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Doubleclick a collectées sur vous. Les données que nous fournissons à Doubleclick nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Doubleclick
HubSpot
Nous faisons appel à HubSpot pour vous envoyer des e-mails dont le contenu est ciblé. Pour ce faire, nous collectons des données concernant votre comportement en ligne et votre interaction envers les e-mails que nous envoyons. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, de taux d'ouverture des e-mails, de clics sur des liens, etc. Politique de confidentialité de HubSpot
Twitter
Nous faisons appel à Twitter pour afficher des publicités numériques sur les sites pris en charge par Twitter. Les publicités sont basées à la fois sur les données de Twitter et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Twitter a collectées sur vous. Les données que nous fournissons à Twitter nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Twitter
Facebook
Nous faisons appel à Facebook pour afficher des publicités numériques sur les sites pris en charge par Facebook. Les publicités sont basées à la fois sur les données de Facebook et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Facebook a collectées sur vous. Les données que nous fournissons à Facebook nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Facebook
LinkedIn
Nous faisons appel à LinkedIn pour afficher des publicités numériques sur les sites pris en charge par LinkedIn. Les publicités sont basées à la fois sur les données de LinkedIn et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que LinkedIn a collectées sur vous. Les données que nous fournissons à LinkedIn nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de LinkedIn
Yahoo! Japan
Nous faisons appel à Yahoo! Japan pour afficher des publicités numériques sur les sites pris en charge par Yahoo! Japan. Les publicités sont basées à la fois sur les données de Yahoo! Japan et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Yahoo! Japan a collectées sur vous. Les données que nous fournissons à Yahoo! Japan nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Yahoo! Japan
Naver
Nous faisons appel à Naver pour afficher des publicités numériques sur les sites pris en charge par Naver. Les publicités sont basées à la fois sur les données de Naver et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Naver a collectées sur vous. Les données que nous fournissons à Naver nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Naver
Quantcast
Nous faisons appel à Quantcast pour afficher des publicités numériques sur les sites pris en charge par Quantcast. Les publicités sont basées à la fois sur les données de Quantcast et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Quantcast a collectées sur vous. Les données que nous fournissons à Quantcast nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Quantcast
Call Tracking
Nous faisons appel à Call Tracking pour fournir des numéros de téléphone personnalisés dans le cadre de nos campagnes. Vous pouvez ainsi contacter nos agents plus rapidement et nous pouvons évaluer nos performances plus précisément. Nous sommes susceptibles de collecter des données sur votre utilisation de nos sites en fonction du numéro de téléphone fourni. Politique de confidentialité de Call Tracking
Wunderkind
Nous faisons appel à Wunderkind pour afficher des publicités numériques sur les sites pris en charge par Wunderkind. Les publicités sont basées à la fois sur les données de Wunderkind et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Wunderkind a collectées sur vous. Les données que nous fournissons à Wunderkind nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Wunderkind
ADC Media
Nous faisons appel à ADC Media pour afficher des publicités numériques sur les sites pris en charge par ADC Media. Les publicités sont basées à la fois sur les données de ADC Media et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que ADC Media a collectées sur vous. Les données que nous fournissons à ADC Media nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de ADC Media
AgrantSEM
Nous faisons appel à AgrantSEM pour afficher des publicités numériques sur les sites pris en charge par AgrantSEM. Les publicités sont basées à la fois sur les données de AgrantSEM et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que AgrantSEM a collectées sur vous. Les données que nous fournissons à AgrantSEM nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de AgrantSEM
Bidtellect
Nous faisons appel à Bidtellect pour afficher des publicités numériques sur les sites pris en charge par Bidtellect. Les publicités sont basées à la fois sur les données de Bidtellect et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Bidtellect a collectées sur vous. Les données que nous fournissons à Bidtellect nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Bidtellect
Bing
Nous faisons appel à Bing pour afficher des publicités numériques sur les sites pris en charge par Bing. Les publicités sont basées à la fois sur les données de Bing et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Bing a collectées sur vous. Les données que nous fournissons à Bing nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Bing
G2Crowd
Nous faisons appel à G2Crowd pour afficher des publicités numériques sur les sites pris en charge par G2Crowd. Les publicités sont basées à la fois sur les données de G2Crowd et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que G2Crowd a collectées sur vous. Les données que nous fournissons à G2Crowd nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de G2Crowd
NMPI Display
Nous faisons appel à NMPI Display pour afficher des publicités numériques sur les sites pris en charge par NMPI Display. Les publicités sont basées à la fois sur les données de NMPI Display et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que NMPI Display a collectées sur vous. Les données que nous fournissons à NMPI Display nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de NMPI Display
VK
Nous faisons appel à VK pour afficher des publicités numériques sur les sites pris en charge par VK. Les publicités sont basées à la fois sur les données de VK et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que VK a collectées sur vous. Les données que nous fournissons à VK nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de VK
Adobe Target
Nous faisons appel à Adobe Target afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Adobe Target
Google Analytics (Advertising)
Nous faisons appel à Google Analytics (Advertising) pour afficher des publicités numériques sur les sites pris en charge par Google Analytics (Advertising). Les publicités sont basées à la fois sur les données de Google Analytics (Advertising) et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Google Analytics (Advertising) a collectées sur vous. Les données que nous fournissons à Google Analytics (Advertising) nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Google Analytics (Advertising)
Trendkite
Nous faisons appel à Trendkite pour afficher des publicités numériques sur les sites pris en charge par Trendkite. Les publicités sont basées à la fois sur les données de Trendkite et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Trendkite a collectées sur vous. Les données que nous fournissons à Trendkite nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Trendkite
Hotjar
Nous faisons appel à Hotjar pour afficher des publicités numériques sur les sites pris en charge par Hotjar. Les publicités sont basées à la fois sur les données de Hotjar et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Hotjar a collectées sur vous. Les données que nous fournissons à Hotjar nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Hotjar
6 Sense
Nous faisons appel à 6 Sense pour afficher des publicités numériques sur les sites pris en charge par 6 Sense. Les publicités sont basées à la fois sur les données de 6 Sense et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que 6 Sense a collectées sur vous. Les données que nous fournissons à 6 Sense nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de 6 Sense
Terminus
Nous faisons appel à Terminus pour afficher des publicités numériques sur les sites pris en charge par Terminus. Les publicités sont basées à la fois sur les données de Terminus et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Terminus a collectées sur vous. Les données que nous fournissons à Terminus nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Terminus
StackAdapt
Nous faisons appel à StackAdapt pour afficher des publicités numériques sur les sites pris en charge par StackAdapt. Les publicités sont basées à la fois sur les données de StackAdapt et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que StackAdapt a collectées sur vous. Les données que nous fournissons à StackAdapt nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de StackAdapt
The Trade Desk
Nous faisons appel à The Trade Desk pour afficher des publicités numériques sur les sites pris en charge par The Trade Desk. Les publicités sont basées à la fois sur les données de The Trade Desk et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que The Trade Desk a collectées sur vous. Les données que nous fournissons à The Trade Desk nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de The Trade Desk
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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Nous souhaitons vous offrir une expérience optimale. Si vous choisissez Oui pour les catégories présentées dans l'écran précédent, nous collecterons vos données et les utiliserons afin de personnaliser votre expérience et d'améliorer nos applications. Vous pouvez modifier vos paramètres à tout moment en accédant à notre Déclaration de confidentialité.

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Nous respectons votre confidentialité. Les données que nous collectons nous aident à comprendre votre utilisation de nos produits, à identifier les informations susceptibles de vous intéresser, mais aussi à améliorer et à valoriser votre engagement envers Autodesk.

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Découvrez tous les avantages d'une expérience personnalisée. Vous pouvez gérer vos paramètres confidentialité pour ce site. Pour en savoir plus sur les options disponibles, consultez notre Déclaration de confidentialité.