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Tracking Field Production with Assemble System and Power BI

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Description

In this class, we'll show you how your team can use Autodesk Assemble to track project installations accurately and efficiently, enabling greater productivity and transparency. Typically, a team might track installations by highlighting a drawing in Bluebeam, entering numbers into a spreadsheet every day in the project office, or even using colored pencils on a hard-copy drawing. They'd use that information to gauge their progress, identify issues early, and report to clients. But the more complicated the building, the more difficult it becomes to correlate real-world structures to a 2D medium. Using the Assemble Systems iPad app, we can track site installation of critical path work. After the data is collected from site, we can display this information in a graphical dashboard from Power BI and incorporate interactive 3D visuals and/or 2D plan views to interact with the data. See how these powerful dashboards help users track and manage trade progress and production.

Key Learnings

  • Learn how Assemble Systems can be used for tracking progress.
  • Learn how Assemble Class Editor can help make easy calculations.
  • Learn how to display the information in Power BI.
  • Discover if a trade is performing or underperforming of their scope.

Speakers

  • Jonathan La Plante
    I'm a Construction Modeling Manager at PCL Constructors Canada Inc. in Winnipeg, Manitoba. I bring over 15 years of experience in construction, which many of those years being involved with Virtual Design and Construction. I have applied BIM technology and process on some key Winnipeg projects like Canadian Museum for Human Rights and True North Square. I'm also a committee member of the Winnipeg BIM Community. Our goal with this community is to bring BIM awareness and knowledge to other local companies and BIM users.
  • Sean Zook
    Sean Zook, RA, LEED AP Sr. Virtual Design & Construction Manager PCL Construction Services, Inc. Dedicated to building better through the effective use of BIM technology. Sean Zook joined PCL Construction Services, Inc. in 2007 and possesses over 23 years of industry experience. Having worked professionally on both the design and construction sides of the building industry, Sean has sought to cultivate a balanced depth of experience. From Casinos to Airports to Theme Parks and back to Airports, Sean's worked on number of different building types, but secretly loves swinging a hammer at his own house best. Sean Zook is a licensed architect in the State of California, and holds a Bachelor of Science degree in Architecture from The Ohio State University.
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Transcript

JON LA PLANTE: Welcome to tracking Field and Production with Assemble Systems and Power BI. This is the safe harbor statement that we have. That's it.

Meet the speakers-- so my name is John La Plante, I've been working with PCL Construction for 17 years. I'm the construction volume manager. I've been working in VDC since 2009.

SEAN ZOOK: Hello, everybody. My name is Sean Zook. Happy to be teaching this class today. Really excited about this topic, really excited about what an easy solution that it is to implement, what a great solution it is to implement because it builds upon a product that a lot of people already have. So it extends that functionality.

And then, again, you know, it's helping push the growth of BIM use in the field, which I'm very passionate about and excited to share with you today.

JON LA PLANTE: So today, you're going to learn about Assemble Systems, how we track progress in there. How we can use Assemble Class Editor to manipulate the data, and then also use Power BI to display that data. And then we can also see how our trades performing or underperforming.

So site tracking-- what's the old, what's new? So the old way-- we use the old style quantification where we track on-site, using quantities using a highlighter or a printed drawing, or a CAD file that we mark up with dates. Or just a PDF with coloring. And also track our quantities using Excel.

The current way, we are using Assemble systems. Using Revit or Navisworks model. Also using the iPad app on-site. And then using this app allows us to do track real time, field production for the site office to view, as well.

So here are some examples of what we have done. So on the top left, we have a mechanical system, just piping being tracked. You can see that the trade's slightly underperforming there, and they're going to be running later than the scheduled date. And then, on the bottom left, we have steel tracking progress-- you can see they're slightly late by 10 days.

And then, we can track that, as well. You can see how much progress they've done. And also section the building up.

So how do we get to this new process? So we use programs such as Revit, and Revit add-ons, Tracer program, by Proving Ground. And also Assemble add on. And then we use Assemble Class Editor, Microsoft Excel, and Power BI Pro.

So in Revit is our main hub for the export data. So we export that data to Assemble into a database file using Tracer. And Assemble actually hosts all our data from the field and from Revit. And then, we use Assemble Class Editor to manipulate that data and to fill in our custom properties that we have. And then, Excel is used to track all the activity, and Power BI is to display all that activity.

Next is the Revit-- this is where we start off. So we'll export the data using Assemble Systems, the add-on. And then we'll export the file using Tracer. With Tracer, you've got to make sure you're into a 3D view, and you are exporting the view as a filter active view. And then, that field gives us a SQLite 3 database file.

Assemble Systems-- Assemble, so here, we'll need to create some new custom groups with properties, view to export to Excel. And for filtering and data conditioning the model, so the property can actually be exported from Assemble into our Excel sheets. And then, this data conditioning is also used to tailor our views in Assemble.

So we'll start off by creating a new project and clicking on the Edit Project. And then, we move on to Manage Assemble Properties. Then here, we'll create a couple of groups and some properties. What we need to create is one called Progress Tracking, one will be Installation Status. So we usually do that by text, and then installation is by date and time.

And then we move to the Power BI parameters. We track our own quantities-- so we have a separate PCL quantity that we do. And the units. And then we also use Revit IDs. So Revit ID is so you can link your model file and your Excel data together with the symbol, as well.

And then, your building level, so you can sort your model by level. Same with location and element. And if you are doing a self-perform concrete work, we like to use port numbers so we can segregate the views per pour. It just makes it easier for someone tracking on-site later with the iPad app.

So here, we can see on the right-hand side, me creating a pour number one view. So we can actually go to the visibility settings, and we can set it so we can sort by pour number or one.

Selected, and updates. Now you only see whatever's in that pour one. And it gives you save that view. And from there, you go to your main screen of your project. And you can see the pour one view is set there.

So on the iPad app, you can go right to that pour one, you select that, and you can select all the elements in that pour and give it the quick, fast installation date, and status, as well.

Next, we can move on to the columns. So in this inventory view, we want to make sure that we can actually see the custom properties that we created.

So from there, you go to the columns, you take everything out on the right. And we just add in all the ones we created here.

Next, we can create another view and actually separate the stuff we don't want in it, as well. So if you just like for expert view, for instance, we want to take out all the stuff that's not being tracked. So that's that visibility settings. And then, updating the parameters.

Next, we can actually go ahead and update assemble, so we can click on let's say the slab, and then we can give it a building level, building location, building element, and pour numbers. This is just data conditioning your model, so we can say later on what things are what, and which port they belong to in what part of the building.

Once that's done, we can move on to Assemble Class Editor. From here, we put our site address, and then we would say which project it's part of. And then we got to do that custom view that we created. And then from there, we connect to it.

And it brings up this window. And from here, number one, you have to select only one element for number two to be available to select. So once that happens, you can select that, then this properties window shows up in the middle. And then also, the little green icon at number three, we can actually click that and it gives us a calculate property window, number four.

And from there we can select the property you want to fill in. So for instance, this is Revit ID. So we'll click on that. And then we go down to number five, where it says Source ID or Instance ID. And then we can import that into the equation line in front of the equation. By clicking there, and then hit the little purple icon number six, and it brings that instance ID to there.

And we can double check that pushing the green check mark. And if it goes ahead, it works, it's good. And that means we can hit the little blue icon, which is the calculator. And that goes ahead and updates everything in that Assemble view, to update that Revit ID.

So once that's done, we go back to Assemble the double check. So we've done that. So we can see that Revit ID here is all filled in. We can see that the little comment boxes, meaning that there's multiple items with different numbers, different values.

So from there, we can go ahead and data condition the rest of the model. And we can figure out the rest of our quantities, we can do that in Assemble Class Editor. So we can grab different calculations, for instance, slab on deck. We can't use that quantity from-- the concrete quantity from Revit, because it's wrong. Because it's taking up the whole queue deck, so we have to make sure we take half the queue deck, plus the concrete on top. So that's why we have our own quantities the way that we do that.

So once we do that, we can update the rest of the data conditioning for building levels, and stuff like that.

So once that's done, we can go ahead and export the data to Excel. So just click on the Export, and then we go to Export Microsoft Excel.

So in Microsoft Excel, we need to create a tracking log. So we will create a workbook which has six sheets in it. One will have a tracking log. Assemble exports is what you just exported, gets linked into this one. And then, we use quantity per day calculation from the Assemble export and the tracking log for the dates.

Then we make one for projected final date, to figure out exactly what we're going to be heading to. And then, we need to create one with holidays with descriptions, to understand which those days are. And when we do that, Power BI does not like dates with text, so we have to create another one called holidays without descriptions. And just copies the dates over, basically. And we use that to create our final actual working days in Power BI.

So track and log-- here we like to track the date. So we take the dates from our schedule, plunk them in here. And then, we take our planned quantities per day, which is the quantities per day calculation sheet. And then, we actual track the actual quantities per day, which is calculated from the Assemble export. And then we take the percent complete, as well.

So to get our model data into here now, sorry, our Excel data into it, we need to go to data, and our input or workbook from Excel. And we need to hit Transform Data before we hit Load. We need to take anything out in the data that has multiple values blank spaces, or duplicate or Revit IDs in there. Because that'll just mess up our view in our Power BI.

Also to note, lessons learned, if you have a-- steel, for instance, has only one item of H-beam in there. It will count that as two. So we got to go to the source ID, and remove those source IDs individually every time.

So once that's imported, we take that tracking log and we go the far right out of the import, and we create a date and count column. So this basically summarizes the info from the import. So the dates come from the tracking log, just like an equal sign. And then, the count is actually counting the installation date with the status and the quantity.

So we use a SUMIFS statement in this occasion.

Next, our quantity per day. So we take the start and finish dates from our log, and we calculate how many days are in there, using the networking days. And then we take the quantities from the exported Excel, and plug into here as a summary. Then we just take the number of days-- sorry, the quantity divided by number of days, to give us our actual quantity.

And then, the units come from the units from the tracking log.

And next, the project final dates. So we only use the two out of all these columns that we have here, is the two final ones. The projected final finish date gets put in there, and then the days overdue, or under schedule go into there, as well. Then the holidays, just that sheet, like I said, it just tracks the holidays being used, and minuses from the working days, gives the actual.

So how do we get this new process into Power BI? First, you'll need to connect to the Power BI template into Assemble. So what you do is you put your Assemble site there. And the project name is your site.

And then, the active view for models versions, we want to make sure that's always set to true. If it's set to false, it's going to grab every version that you have of them all uploaded. We don't want to do that because then it makes the upload very difficult and it takes forever. So we just set it to true, and it does the current one.

And when you do upload the new version every time, it transfers that data to the new version, as well. So you don't have to worry about transferring that data back and forth.

And then, you link all your tracking log with all the sheets, as well, by transforming the data.

And then, to bring the properties from Assemble into Power BI, we actually need to go the Assemble Properties Editor, and we need to actually import what it says here on the available properties. So in here, we say, so PCL quantity, we want to put the PCL quantity underscore assemble property. No spaces, just with the word the way it is, how I've written here.

So what this does, it brings all your custom properties into Power BI and you can view it.

Next thing, we want to bring our model element, or mesh data into Power BI. To do this, we've got to use an SQLite 3 database file, which was exported from Revit at the beginning. Then we need to say, always have database equals. Then we have to say the folder location where we stored it, plus the file name, plus dot dB.

And once you do that, another window pops up, and it'll ask you for login credentials. You don't need to do anything, you just have to select the default custom. And then, just enter nothing, hit OK. And it logs you into it and uploads it.

And this window comes up after that happens. So from here, we need to grab the document, document parameter, element, element integer, element to number, element Revit ID, and element text.

So we use these to actually link our model data to our Excel file, and to our sample file-- our project.

So in here, you see the red is all the assembled information that's in our model in Power BI. In the blue is our Excel tracking log, and green is our model data from Tracer. So from here, we're linking basically all the Revit IDs to each other, and also anything that matches. So the more probabilities you have matching, the better-- which makes your data talk a lot better when you're actually manipulating your data in Power BI for views.

Also to note-- lessons learned that you have the active view set, like for instance, Revit ID we're doing here. So you have that one set all the time as active. Then your view for Tracer will work a lot better inside Power BI.

So in Power BI, the next thing we need to do-- you have tracking log on the right hand side-- we need to create custom calculations using DAX formulas. So in here, we need to calculate the actual running total dates, working rates, work rate with units, and stuff like that. And days elapsed remaining, and dates. Just to fill out these columns in the middle here.

It's basically an overview of the dashboard, what it looks like, where the data comes from. So the top, we have assembled data, anything red. It all comes from Assemble. Blue is anything that's Excel, and that's whatever we put into Excel, this basically just updates from there.

And then, green is just the Tracer that we exported. It's just a viewer.

Next, we get to the new process by updating the dashboard. So this is a short video of how we do it.

Here, we're just showing the data is not updated yet. Now, we're going to Assemble and just updating the data.

Do you know what here, don't put any spaces in your data-- in your dates. Won't work. Here, you can see all the elements updated for status and dates, as well.

Also in naming the file, make sure it's always named the same thing. Here's that export file. Need to make sure everything is not grouped together.

Here, we see the data is still not updated here. So we need to refresh our Excel sheet to update.

Here, we can see the data is now entered and refreshed.

So what you're seeing here is in real time, the video is not sped up, so it's just refreshing now.

Now, we can see the data is all updated, view's changed to green, this has been installed. You can see quantities installed for dates, and how much they're ahead of schedule. Now, we have the option to select per day, what's installed, and gives us total quantities for that total. Those are meters cubed, as well.

And also adjust the date timeline, and adjust our graphs.

Next, we can actually just see by pour, if you wanted. So pour one, for instance. You can also manipulate models, or whatever we want here. So just slabs, or level one slabs. Or just a wing.

SEAN ZOOK: Really awesome, Jon.

JON LA PLANTE: Thanks.

SEAN ZOOK: Yeah, really awesome, exciting. What I'm going to show is a little bit more of the picks and clicks about how to use the mobile app in the field, and also a different workflow as far as getting your model information into Assemble. And what sort of pros and cons and opportunities you have related to that.

If you could change to the next slide for me, please.

So Jon covered a lot of the model prep stuff, as well. He also touched on some of the dashboard and dashboard publishing. I'm really sort of skipping some of the early Assemble setup stuff. I will show a bit of it as I walk through some of the demonstration videos, but primarily focused on using the iPad app in the field-- how we then sync that back, refresh our dashboard in Power BI, and publish that for the team.

Next slide.

So like Jon, we start with Power BI-- I'm sorry, an Assemble project site-- you'll have to hit Play, I think, on the video for me. Each one of these-- so typically, we'll build a separate Assemble project for our team that's just built around tracking. That way, you can control team members that are invited to that project. And then, also, as Jon was talking about, not have a large depth of model data within the project, from pre-construction phase, really just focused on making it as easy as possible for the operations team.

And part of that is building out, like Jon showed, the series of views, and sort of filtered views of the quantities that you intend to track in the field, to help the team focus on the work that they're immediately tracking in the field. And also help, performance-wise, on the iPad app.

One great part of Assemble is your ability to build specific filters in the inventory list, which you're seeing here. So here, we've built a specific view in the inventory based on the tracking. There you can see your members based on their erection status.

You're also showing how we've built that group, similar to Jon, for field tracking, and the parameters that the field team is going to populate. But we've also taken the workflow through Tekla, and so we have some access to some additional properties from our fabrication model that we're utilizing, as well.

The views are colored by their status in Assemble. So as the team is making changes in the iPad, and syncing back to the web platform, they can visualize those changes as they work.

Here, we're going to just quickly select an object. Here, you can see how we've built a data tree to limit the number of responses that a field team member can choose on a given object. And then, the desktop app, you have to enter a structured date for the erection. And that's listed there with the type-in.

You'll get an added benefit, which will show where you can use the current date and time in the desktop, or in the mobile app, which is really fabulous. And again, teams are able to summarize their quantities and sort of status, and see those quickly. And if you control your columns in your inventory filter.

Next slide.

So this one, we're going to-- back out a little bit, if you could hit Play for me-- so this is sort of your overall view of total status. Here, we're going to go into one of the filtered views that was developed for the field team to help them with the data collection in the field, and isolate the amount of model content that they're looking at.

In this case, we're focused on steel quantification, but the concrete structure is quite integral to the basement of this building. So you can include secondary models, like the foundations, if it helps the team visualize the context which they might be seeing in the field.

Here, it shows how we built those filters. We got us down to just erection sequence 51, or 52. And that 52 is read directly from Tekla. And so there's ways, depending on the content that you get, to leverage information that a subcontractor's provided you, or have built intelligence into the data in a model that they've shared.

And so particularly, with steel and the erection sequences, you know, we've worked to leverage all that work that they've put in. Because there's very specific selection of elements, and it's difficult to maybe rebuild that logic into a design model.

Next slide.

So this shows our team. This project had an opportunity to get a bird's eye view on the project site to aid in the tracking.

Next slide.

And this shows the clicks and picks within Assemble, and how easy it is for a field team member to isolate a particular erection sequence by choosing the view in your Assemble project. Here, he's selecting a few objects, clicking on the Properties button, confirming the pieces that he has selected here. And then, he would change their status.

Next slide.

So this video will walk you through what that looks like in the iPad screen capture. So again, here's same views that you've preset up for your field team. You can enter into one of these views. They can sync offline and make those models available offline in the field.

Again, you see that inventory grouping that we did to help the team maybe locate a specific element that's erected or not erected, as well as you can just pick it in the model and immediately get into your properties. So here, you can see that data tree of predefined choices. He's chosen that that beam's erected.

And by default, it pulls up the current date and time. So if you're out in the field tracking the steel erection daily, it's pre-populating, basically, the response that you want to include, which is very fast and speeds up the process.

There's other features that the team will become very adept at using. Key 1 is the multi-select, so if you walk out on site at the end of the day, you can visualize quite a few beams have been installed, you can work through and select those and add those to your selection group, collectively. And then adjust their completion status, and the erection date, in one fell swoop.

And it refreshes in real time, so they can see that change that they've made in the field. There is one additional option, as well, which is the boxing. Which is your icons up at the top of the screen. If you have a large area that was completed in a given day, and you're able to isolate, you can save yourself even more time with the box select.

Continue to add to that multi-selection. And then, again, enter the properties. Choose your status from the data tree options. And pick the current date and time.

Then that'll refresh in real time.

Right there, we were in the sequence two view. If we then move into the overall view, you can see that information that you just collected in that overall tracking view-- that can be useful in a project meeting or communicating to the client the overall status of the job.

So the diagram here sort of illustrates the differences between the workflow that we've been using on our projects with what Jon was showing. And that involves being able to integrate subcontractor's model, and working with assemble through the Navisworks add-on. In our case, the majority of our steel models on our projects come via an IFC export from Tekla.

We pull that into Navisworks in order to regenerate that. And use the Assemble add-on to publish that to the Assemble platform. We then build our dashboard around the data that's collected in Assemble, and as well as some DAX analysis and DAX calculations, similar to the way Jon was working.

Next slide.

And so why are teams working this way? What are the pros and cons to this workflow? For us, there's quite a few pros. One that's really important for the teams in the field collecting the information is being able to understand what the piece mark for an individual steel element might be, understanding in the model and ensuring that they're tracking the right piece in the field. And having and working from the subcontractor's fabrication model assists with that.

Additionally, as I showed, we're able to leverage the steel erection sequence information that can be included in the Tekla export. And that helps us set up those filters-- those view filters that isolate portions of the building for field tracking. On a small building, maybe not too difficult to recreate that. But if you have a significantly large building with dozens and dozens of erection sequence zones, being able to leverage that information that the subcontractors already built into their model is a huge benefit.

And then, the other aspect is if we work with the Tekla model, and if we work with our subcontractor model, we're getting a model that's been developed to LOD 400. So when somebody's standing in the field with the mobile app, they're going to get a greater semblance to the field conditions that they're seeing, if they're using a fabrication model, as opposed to a design model.

Now, the cons related to this is, in my experience, and folks that attend the class and come up afterwards I'd love to hear your experience, but typically, we've been stuck with really the original IFC import into the system. The way the IFCs are made, Assemble can get lost, Navisworks can get lost in changes to that model over time.

And if you had assigned some information date, or erection status, et cetera, it might get lost if you swap and try to refresh your model. And so the con really is choosing the right time to start this process. Is your fabrication model far enough along that you can effectively track it and perform the tasks that you want to do with it?

Another one is, as Jon showed, being able to visualize the model inside of the dashboard with the Tracer application is really powerful. For really large steel projects, the level of detail that this workflow is going to push into Assemble, or try to push into really the Tracer app, is going to be too great. And so you probably want to stick with a design model base where you can hold a course level, or work closely with your fabricator on a solution for that.

And then, also, the details that are going to come from your fabricator, again, very heavy. You're going to have every nut, every bolt, every flange connection, et cetera. Those typically aren't tracked individually. We're really looking at beams and columns, braces, et cetera. And so there is some redaction of LOD 400 content might be necessary, in order to get a performance within Assemble. But then, also, just be tracking the items that you want to track and reducing the number of picks and clicks that you have on your project.

So those are the aspects that I've learned from implementing this process, and really trying to leverage that data from the subcontractors. Again, in the whole-- this process has been very effective and very efficient of our field teams. It's been very beneficial to leverage the content that other team members have put so much effort in and be able to use those downstream, and lean our processes to deliver amazing projects for our teams and our clients.

JON LA PLANTE: Our field teams keep asking for more and more of these. They're really seeing the benefits. They can keep track on their trades, if they're below or above the line.

______
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We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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

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

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

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

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