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Bringing Old School Estimating to the 21st Century with BIM

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Description

Estimating in construction has evolved since the beginning of Building Information Modeling (BIM). Receiving models in preconstruction has enabled construction estimators to understand a building better than ever. If models are not provided, having the virtual design and construction (VDC) team that we have enables us to quickly create models to understand and provide high-level overviews of spaces that need an estimate for a DD, SD, or even proposal estimates. Understanding how to prepare these models for an estimator is important, and details that they need are often overlooked. We've developed templates that correspond with what our estimators are looking for and how they want to see the information. Some techniques we use take any architectural model and make it usable in the estimating world, providing better-informed and better-understood estimates. This session features Revit.

Principaux enseignements

  • Understand the link between BIM and estimating
  • Learn Revit-model data overview and organization techniques
  • Learn about viewers for estimators that cannot or will not use Revit
  • Get quick tips for preparing models for estimating

Intervenants

  • Avatar de Melinda Hoffman
    Melinda Hoffman
    Melinda Hoffman manages the emerging Virtual Design and Construction department at LPCiminelli, handling all the Building Information Modeling (BIM) mobile technology with a 5-person staff. Her duties include training Revit software, aiding in prebid estimating and visualizations, managing workloads for staff, laser scanning to document existing conditions, managing model logistics, and scheduling and coordinating. She assists project teams with preconstruction services to establish and implement virtual construction procedures and techniques to assure timely modeling. She collaborates with the clients’ design teams and in-house estimating on the use of models for 5D quantity takeoff and pricing. Hoffman leads clash detection and radio frequency interference (RFI) resolution with project teams during preconstruction efforts. Additionally, she assists with the creation of marketing visualizations to convey logistics plans during business development efforts.
  • David Nachreiner
    Melinda Hoffman manages the emerging Virtual Design and Construction department at LPCiminelli, handling all the Building Information Modeling (BIM) mobile technology with a 5person staff. Her duties include training Revit software, aiding in prebid estimating and visualizations, managing workloads for staff, laser scanning to document existing conditions, managing model logistics, and scheduling and coordinating. She assists project teams with preconstruction services to establish and implement virtual construction procedures and techniques to assure timely modeling. She collaborates with the clients’ design teams and inhouse estimating on the use of models for 5D quantity takeoff and pricing. Hoffman leads clash detection and radio frequency interference (RFI) resolution with project teams during preconstruction efforts. Additionally, she assists with the creation of marketing visualizations to convey logistics plans during business development efforts.
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      Transcript

      MELINDA HOFFMAN: All right. Good afternoon, everybody. We're going to start on time so we can get you guys out of here so you can go party tonight. Who wants to sit-in class until 6 o'clock, right? So welcome to Bringing old school estimating into the 21st century with BIM.

      I'm Melinda Hoffman and this is David Nachreiner. We both work for LPCiminelli Construction out of Buffalo, New York. And we're going to talk a little bit about how we've accomplished this process.

      And also go into some case studies on projects that we've used some different techniques on to help you guys understand where we were and where we've come and where we still need to get to.

      So some of the learning objectives today are going to be understanding the link between BIM and estimating, Revit model data overview and how that can accomplish what you need to do and some organization techniques.

      Examples of a couple of viewers that we use for our estimators who are non-Revit people and can't use Revit. We've tried. We tried to train them and it did not work. And then quick tips for preparing models for estimating.

      So whether you're receiving a model from an architect or an engineer, or you're creating that model in-house, we have some techniques and tips that we've worked out over the past four and a half years that really help us give our estimators what they need and what they're looking for.

      A little bit about me. I've been in AEC the industry over 13 years. I started as an intern architect. Quickly realized that I did not want to be an architect. There's too much paperwork for me. I became a Revit technical specialist and now I'm the Virtual Construction Director for LPCiminelli.

      My background was architecture and media studies. And I've been working in construction now for four and a half years. My original goal was to really incorporate BIM and architecture and construction, and have them all meld together in a happy world. We've started to try to accomplish that, and one of our first goals was with estimating.

      DAVID NACHREINER: My name is David Nachreiner. Thank everybody for attending our class this afternoon. I have about six to seven years in the construction industry. I started off in some project management overseas managing different humanitarian aid infrastructure projects throughout the Middle East.

      Came home. Got a degree in construction management and a associates in drafting and design. Spent some time as a civil site designer for a local real estate company based out of Buffalo specializing in commercial retail development and some hotel.

      And then I jumped ship over to LPCiminelli where I'm able to incorporate not only project management techniques that I've learned in the past, but also the estimating portion of it. And applying the software and information that we can use to benefit our company.

      MELINDA HOFFMAN: So we're going to take a quick poll here. How many people in the audience use On-Screen Takeoff?

      DAVID NACHREINER: Too many. Way too many.

      MELINDA HOFFMAN: How about CostX? Anybody? One. Bluebeam for estimating? Capterra? Other? One that wasn't listed. OK, great. So we use On-Screen Takeoff, and I say that because there's always going to be those nuances that just BIM can't handle well or easily.

      And our guys use On-Screen Takeoff and also another program called Insight, for the civil estimating quantities. But we wanted to get a feel for where our audience was based on 2-D estimating. OK, so how did we start? Estimators, whoops, before I knock over the whole thing.

      That's how we've always done it, right? How many people have heard that saying here? But that's how we've always done it, right? So four and a half years ago I started at LPCiminelli and one of my first tasks was to get the estimators to use models that we were receiving. Seemed easy, but it wasn't. They didn't trust the data, and rightfully so.

      Some of the models that we were getting were not clean models. They didn't have very good information in them. So we had to start somewhere. So we began looking at the low hanging fruits, or the things that were easiest to take off and validate.

      We had to validate and prove those quantities to make sure that they trusted them. And it was a very slow and steady process. So one of the easiest things and most accurate things to take off from a Revit model is typically the concrete and the steel.

      So receiving a steel model from an engineer, we can cut our take off time down dramatically. We can pull tonnage quantities straight out of Revit and apply those to whatever they need. And then they apply some sort of percentage contingency for all of the structural detail components.

      Because we're not getting engineered models with plates and connection details. So they have that kind of percentage already figured out. But the main beams we can pull off very quickly. Concrete models, I've become a kind of an expert at parking garages.

      We've done a lot of estimating for our GC side on parking garages. If we build this ramp, how many spaces can we get, how many square feet is the garage, how much cubic yards of concrete is it. So we started mocking these up. And it became a very quick process.

      Less than two hours we could put together an entire parking garage and pool the quantities out for our estimators. This was something that took them a lot of time. And this process was something that was fairly easy to verify. So taking the tonnage costs off, getting our subcontractors' bids back, we were able to compare those numbers and see how close we were.

      Then we began a two-way education process. This was the very slow and steady process. The first thing we needed to understand was what the model or what the estimators needed from us. What kind of information did they want out of the model? What they needed to understand from us, was what we couldn't give them, or what we couldn't give them easily.

      Which tasks were time consuming to take off in 2D, was something we wanted to know. What is taking you the longest time to take off? Is that something we can cut down by doing a model? Or by taking a model that we're provided and cleaning it up.

      The Revit categories versus UniFormat. Our guys were stuck to using UniFormat. That's what they were used to, that's how it was all organized. How does Revit compare with UniFormat? Well, it uses MasterFormat. So then, are all the components assigned to those categories? Maybe. Maybe not. It depended on what the architect did.

      So how do we take the architect's information and apply it into a UniFormat spreadsheet that we're used to seeing? And then a breakdown of the buildings. So first one was understanding what it was they wanted.

      So the schedules broken up by subcontract, broken up by area of building. This kind of gives a description of different types of walls. And then in the model, highlight what those walls look like. Understanding what we can't give them.

      Site work is one of those things that Revit just doesn't quantify very easily. Doing the excavation and backfills, it would take me a lot of time to build an accurate site inside of Revit, where the InSite product can do it fairly quickly.

      So these were things where we had to weigh the pros and the cons. What was worth the time and what wasn't. Other time consuming 2D take offs. Tonnage. It took a lot of time to invest in a 2D take off of steel tonnage. Lots of drawings to look at, try to figure out the sizes and try to vet all that information.

      Exterior skin, finishes, PCOs and millwork. And I'll let David--

      DAVID NACHREINER: So I was walking around Las Vegas Boulevard this morning and I've never been to Vegas before. So this is a really new experience for me. Sensory overload, buildings, lights, people everywhere, really exciting. And I started thinking about our presentation this afternoon.

      And as I'm thinking about it, I'm looking around at all these buildings and there's all these different architectural features on the exterior skin of these buildings. There's masonry, there's cast in place concrete, there's different types of finishes.

      I'm sitting there thinking to myself, I'm like how much of a pain would it be for an estimator to take a 2D set of drawings of one of these buildings and try to quickly identify and quantify the shell of one of these structures.

      It'd take a lot of time, right? Has anybody else kind of got that thought walking here looking at some of these buildings? I mean look at these soffits, for instance. I mean, stuff like that. These little nuances that we find in these projects that take an exorbitant amount of time.

      But if we have a model that's produced by an architect or in-house where we're able to quickly identify the shell of that building and identify different areas that may apply different finishes and price points to our overall estimate.

      Finishes are one of those things in a model, if they're modeled in the model, it's great. It's a rarity to get a model that has produced finishes, floor and wall finishes. Usually they're just called out on the schedules are on the details.

      I find that if we're creating a model in-house for our estimating or pre-construction efforts, I'll model the finishes myself just so we can schedule them separately.

      And PCOs, which we'll get into a little while later, these project change orders that we get from the design team throughout the construction process are sometimes a tedious task to identify and separate out from a set of documents that we get from the design team.

      And millwork, obviously, if you have a project that has a lot of casework, millwork in it, sometimes it's easy to identify that in the Revit model. That way we don't miss anything from our project teams.

      MELINDA HOFFMAN: Yeah, one of those millwork ones would be health care facilities. Tons of millwork in health care models. And we can quickly and easily take out counts with those. And this is just the typical how they wanted to view the information.

      So we got into some discussions. Our estimators are kind of picky guys. They're used to seeing it UniFormat. They're used to seeing it in the building envelope, and we get that. So we wanted to understand what their worksheet looked like and how we could take our estimates, pull them out into this kind of information for them.

      And lastly, breaking down the model. So taking this building, which is one and a half million square feet, and estimating it based on the areas that the estimators wanted to see.

      So whether it's estimating a small apartment complex with retail on the first floor, or estimating this casino that has a hotel, a podium, a parking garage, casino floor, and amenities, that estimators need to know each section so that they can pull the quantities per square foot out for each particular area.

      So the hotel knows what to charge per room. Or the parking garage knows how to make that particular money back.

      DAVID NACHREINER: How many people in here that create models or edit models use the filters within Revit? Anybody? OK, a lot of people. Myself, coming from a CAD background, site design, that kind of stuff, and typical just overall 2D documentation, I am a huge fan of layers.

      So when I really started getting more involved in Revit, the filters tool was my best friend. I can add colors. I can add a name. I can use the comments field and identifying data of the Revit family itself to apply a parameter. And that's what you're seeing here, a series of filters used to identify overall program space throughout the project.

      This same technique was applied at a much smaller scale within these respective programs as the project elaborated. And we'll get into those kind of details a little bit later when we elaborate on this project here.

      MELINDA HOFFMAN: So what did we do with four and a half years of information? We gathered all this information. One of the things we did was we applied it to creating Revit templates for estimating. So if we're building a model in-house, we have a template to start with that will push the data out that are estimators can use.

      First thing was wall types. Are typical models, you know, the Revit out of the box has just generic walls. Six-inch wall, eight-inch wall. And at the schematic design level, that's OK. But when you're getting into more design development and construction design, you've got to know what those wall types are made up of.

      So David took the time to create these templates to identify what was in that wall, so the estimator knew how to take it off. Distinguishing wall soffits, storefronts and curtain walls. All those things needed to be identified with what they were.

      Storefront versus curtain wall. Those needed to be called out separately, because they're a separate cost. Roofs, ceilings and floors. One of the most common things we do is get a model that has a floor labeled as a roof or a roof labeled as a floor, because that's the easier way to do the slopes. Or because that's the tool that they used.

      Well, when you're quantifying that, it causes a problem. So when we build the models, we want to make sure that all that information is correct. And all of that information is standardized within our company.

      We also wanted to set schedules so that if we push the schedules out of Revit into Excel, they had the information they needed, not just the standard default schedule or standard schedule that has too much information in it. They just needed specific information.

      And then doors. Was it exterior or interior? Curtain wall or is it a different type of door? Is it an ordered door or a custom door? That's all important information to the estimators, as well.

      The next process is receiving models. So how do we vet those models? I'm going to let David talk a little bit about that process and the checklist he created for doing that.

      DAVID NACHREINER: So similarly, I would say that 90% of the models that our VDC department works with, are models that we receive from AE firms. Architects create them, engineers create them. Specifically focusing on the architectural and structural trade.

      So lot of these times these models aren't perfect and we really don't know how much information we can and cannot utilize and push on to our estimation department. I would say that 60% of these models that we receive at times don't have a lot of information in them.

      They're not sustainable models. They were created with the intention to represent the client's interest and intents, but after they left the desk, they're difficult to use. So with this said in this issue, we kind of came up with a solution that was based on AIA standards for architectural documentation drawings.

      We took a set of SD documents, looked at them, tried to decide what the standards were for them, and then applied that to our models. So as we were talking about before, just a few key examples. Walls, the function for the walls. If they're an interior or exterior use.

      If I create a wall schedule and I'm looking, I want to identify just interior partitions to give my estimators an idea of how much chip wear we have in the project, it's going to throw my numbers off. And it's going to throw their numbers off if an interior wall type was used to model an exterior condition.

      It also makes my job a little more difficult to try to prove to these estimators that the models are worth even using. Same thing as we were talking about with floors. If there is an exterior balcony system on a building. It's something we see a lot.

      So say you have a third floor condition and on the interior it's a slab on deck. And on that same floor we have balconies that people can go on and use. A lot of times, the majority of the time, those balconies are modeled within the actual overall floor plate of that third floor.

      That's a different condition. That balcony could be a different structural system. It could have a specific soffit underneath it. It could have lighting coming out from underneath it, radiant heat.

      We're able to identify multiple different quantity take offs with that specific quantity isolated from the overall floor plate of the third floor, for example. It also throws off the program space if we're creating a sheet to represent what program we're using where.

      MELINDA HOFFMAN: So we're going to get into the case studies portion of our presentation. We're going to talk about four different projects, all different types of projects. And going to explain how we've used models in our process to do better quantities or to create better estimates.

      The first project is the medical office building. This is a 350,000 square foot building. It has two phases. Phase one was the core shell and phase two was a tenant fit out. We received the model from the architect at each design phase, which is not necessarily common. So we were lucky to have that information at our hands.

      This project is in Buffalo. It's in the medical corridor. It was originally designed as an eight-story building. And this medical corridor is actually a huge development right now in Buffalo.

      They have Children's Hospital, which is being built right behind this building. And right next door is the University of Buffalo's Biomedical School of Science, which we've done work on all three projects. So it's a pretty exciting campus and there's a lot going on.

      So for estimating team, they needed to get quantities fast because there were so many other projects that needed information. We had to create a GMP for this project. We were fortunate to be involved very early because we were working with the developer directly.

      And the problem with this project was they couldn't make up their mind how big they wanted the building to be. It started out as an eight-story building. It changed to a seven-story building. Then they wanted it to be a six-story building. But then they had a possible client that could come in the seventh floor.

      So our estimators are going back and forth trying to figure out, OK, well how do we estimate this building if they can't determine how many floors it's going to be. At the end of the day, they decided to design the foundations for seven stories, but estimated it as a six-story.

      So how do you do that? How do you estimate this building easily and understand each floor's particular take offs? Some of these challenges of this building for the estimation part were the bump outs. Every little bump out on here had to be estimated separately because it's not a roof and it's not a floor and it's a different makeup.

      So it really confused the guys. And having the model to be able to zoom around and show them exactly what this building looks like, helped them to better understand it for an estimate. The work sets from the architect were incorrect.

      So even when we tried to isolate areas, core shell or the circulation spaces, we would highlight the work sets that they had and find out that there might have been a wall that was on the exterior that was on the circulation work side. So we couldn't use that as a reliable source for gathering information.

      Another one was the wall functions, like David mentioned, were incorrect. Some of the functions were set to interior when they should have been exterior. A lot of the times I find the shafts for the elevators are set to exterior wall types, just because in Revit it's a CMU wall and they defaulted as an exterior type.

      Estimating the floor, whenever walls were modeled from first floor to seventh floor. So an architect doesn't model for estimating, they model for construction documentation. Which means that the walls are modeled as high as they go.

      But for estimating and for this particular case, we needed to know what each floor level was as an estimate. Not just for that initial GMP, but as tenants purchased the floors and needed to have the retail square footage, they needed to know what that cost per square foot was for each floor level.

      So like we assumed, after the GMP was created, they did come back in. And the tenant agreed to the seventh floor. Because we were able to isolate some of this information, we were able to create that pretty quickly.

      The other problem was within days of deciding on the seventh floor, they had to order the steel. So we had to make sure we had the tonnage and the cost for all of that ready to go when they said go. This project was pretty unique in that the architect was willing to work with us.

      So as we found information that was incorrect, we would mention it to the architect and they were updating it for me. So for example, wall functions. She would go back in and change the functions of the walls, so that every time she sends me an update now, I don't have to go change it myself.

      We were able to, like you can see in the image, isolate the seventh floor and easily take that off for estimators to put into their GMP. They also created separate wall types for us, so that we understood the different types of panels on the exterior of the building.

      The structural model was also divided for us so that we could easily take those quantities off and we knew exactly how much steel needed to be ordered for that seventh floor. This is a rarity and this project ended up being successful in the pre-construction phase because of the information we had in the model and the willingness of the architect to work with us.

      The next project we'll talk about is a hotel. So this was $135,000 square foot hotel, seven stories. And like every client, they wanted a five star hotel for a three star price. Initially when we budgeted this project, it was $2 million over budget. It's not a big hotel. How do you cut $2 million out of this project?

      So it was quite a challenge and we were not provided a model for this. So what we did is, we created a model in-house. One of the first things we were able to see is to value engineer this model.

      The windows that were designed originally on this hotel were supposed to be wall to wall, heater to ceiling. Very large windows for a pretty simple hotel. It was also a very costly because they were pretty customized.

      What we were able to do in the model was quickly change the sizes of the windows to update our quantities for the exterior shell. So we could tell, A, the windows were x-amount cheaper. And B, it increased the wall quantities by this much. However, it offset it by $250,000.

      That exercise took five minutes. Because in Revit, when you have all the same window type and you change the size, it updates everything and the schedule's automatic. The other thing it allowed us to do, was it allowed the estimators to visualize.

      But we were also able to show the owner that this value engineering proposition was doable. The image on the right shows the window at the smaller scale. Because you have curtains hanging, you're never going to know the window's six inches smaller because you're not going to see that side of the window anyway.

      We were able to render to Panorama, Had anybody rendered to the cloud in here from Revit? So we were able to take the design idea for the value engineering, render it to Panorama, and then send that to the owner and have them review our proposition to cut out a quarter million dollars. Wasn't $2 million, but it was a big start.

      So this project for the estimators is a big success in showing them what else we can do other than to just pull basic quantities. We can help them value engineer and get what we need to get our budget to where it needs to be.

      DAVID NACHREINER: This is a casino project that we're currently in the process of building. We're about six to seven months into the work. It's a 1.6, plus or minus, million square foot building. We have about 14, 15, excuse me, stories of hotel.

      We have two to three stories of gaming floor, restaurants, villas, pool space. We have two floors of back of house service space for the casino and the overall maintenance of the building itself. We have four levels of pre-cast parking.

      On the back side of the parking, four levels are daylighted and on the front side of the building, all of them are underground. This project here, if you remember a few slides ago, was colored. We had broken out this into our respective program areas, hotel, podium, parking, [INAUDIBLE].

      This model was provided by the architect. We had a structural engineer that was very good at producing really high level detail structural drawings. And also, the architect has been great so far producing accurate models for the architecture side of the house.

      MELINDA HOFFMAN: So this project has actually been around for about six years. It's one of those that waited on funding, waited on government, waited on licensing. So it has been at the company longer than I have. But the initial take offs we were able to do with this building were the foundation.

      So this was one of the first things we were able to get the estimators to agree to let us help them with. At the end of the day it saved them in one take off alone, it saved them eight hours of work.

      Now they were able to vet it to make sure it was correct. And they were really excited about the prospect of being able to take that information off and save that amount of time. It freed their guy up to do the other estimates for this project.

      The other thing we were able to do with this project was doing the steel take offs. It didn't just give us the quantities, but it allowed us to kind of figure out what kind of crane placement we would need. So this project's so large, we knew we would need more than one crane. But there was a potential that we might need to tower cranes.

      If you know anything about the cost of tower cranes, $100,000 a month plus. So we wanted to really analyze the weights of the steel and where the crane placement could go to lift the most pieces of steel where we would minimize having to have a second tower crane. Or potentially just use a mobile crane for those other picks.

      We were able to do that by finding the correct placement for the tower crane, which you can see the white crane in the middle of the hotel. And then we were able to utilize at one point would have three mobile cranes.

      Also, the crane on the bottom that you're seeing, we were able to size the correct tonnage because there are some pretty big trusses over the casino area that a normal crane wouldn't do and the site restricted us to be able to get the whole way around.

      So by taking the quantities of that steel, it was more than just estimating for numbers. It was understanding logistics, which also saved that time and money later.

      DAVID NACHREINER: These trusses at the center are a good example of how we were able to use the model to identify quantities. The trusses, there's two trusses that support this two-story condition here. It's basically their convention center. They are 170 feet long by about 40 feet deep. And they're made up of all W members.

      Throughout the course of the design phases, from SD to DD to CD, the sizes of the members that made up these trusses changed constantly. And we were able to identify the changes and the adds and change in counts as we went along.

      So a program that we use at LPCiminelli that helps us publish models, organize models, schedule models, is Assemble. Does anybody use Assemble at their firms? OK, got a few people.

      We find it's very helpful and we're able to allow people who don't have a Revit background or an Autodesk product background to be able to view the model, create their own schedules, create their own views, and look for specific things that pertain to the things that they're taking off.

      One of the things that we do at LPCiminelli before we even publish models to assemble, is we edit them in Revit. So going back to those overall program areas, the hotel, the podium, the parking garage and the [INAUDIBLE], we wanted to identify those areas as specific cost centers so we can apply quantities and numbers to those specific areas.

      So within Revit we created a text parameter and assigned those program areas using that filter tool we were talking about earlier. Has anybody ever used or know about the Revit database link? Has anybody ever utilized that? OK.

      Basically Revit has a tool that allows you to export the database of a model. And with that being said, we're able to export all the data and parameters that pertain to the specific elements that we apply filters to in the model.

      What we use this for is, we produced a overall GMP for this project in July. But with most projects, there was design changes along the way. So we were receiving weekly model updates to our GMP model as the project developed. They would come out as bulletins. So we received about 40 bulletins for these models.

      Our estimators had a very difficult time tracking the changes that these bulletins added to the overall GMP cost of their models. With the size of this building being over a million and a half square feet, it literally would take them weeks just to vet one bulletin. And these were coming out weekly.

      So what we did in the VDC department is, we took the GMP model that had all those filters and all those parameters, we exported the database. What we then did is we opened up the new model that was issued in a bulletin, exported that database, and merged the two databases together in a program called Microsoft Access.

      What they are allowed us to do is open up that new bulletted model and turn on the filters and see what remained the same and what changed. And we were able to then identify and grab those things in the program areas.

      What we were allowed to do then was publish the model into Assemble. And using the tools within Assemble, we were able into create specific views based on the program areas that we identified.

      This tool has been extremely helpful, not only on this project, but on the majority of the projects that we work on that have design changes along the way during the construction process. I've brought along a printout with me that specifies the outline of this. And we also publish it to the AU website for viewing, as well.

      Some of the savings that we received doing this specifically with the steel. A lot of the steel changed as the project developed . We were able to identify about $2 million worth of steel that was added from GMP to about present day now, bulletin 40.

      This is a manufacturing plant that we're currently finishing up in Buffalo, New York. It used to be an old steel manufacturing site. And now we've turned it into a $1.4 million slab, excuse me, 1.4 million square foot slab on grade manufacturing facility.

      The MEP systems in this building are large enough that they could support small towns. The pipes in here are massive. We had a lot of different issues, specifically with structural steel supporting these systems.

      So when this building was originally designed, there was actually two structural engineers. One that focused on the structural design of the overall superstructure of the building. And one that designed the supplemental steel to support the MEP systems in here.

      Just for an example, of some of the pipes in here were 60-plus inches in diameter. And the duct work was just massive. A lot of additional steel was needed to support these systems, but at the time of the initial design it wasn't taken into consideration how much supplemental would be added.

      And how much the steel would be affected once these pipes were filled with water or fluid or whatever was going to be going through them. The worry of the deflection of the steel became a huge concern and they started increasing not only the size of the members of the process steel, but also the amount of the members of the process steel.

      These changes were issued by the engineer as PCOs. And every time a new PCO came out they would update their model, which was really helpful. That way we didn't have to assume or apply square footage costs to these areas that they were identifying.

      So we were able to take those areas and using the filters again, apply a filter to all the areas that steel was added to to identify the new area so our estimator could vet tonnage and quantities. One thing that this helped us do as well is vet our subcontractors' numbers.

      So we had a supplemental steel subcontractor that worked on all this white process steel in here. And as these PCOs came out, he would take the drawings and apply his change orders and quantities to them.

      One thing that I've found in the past at past organizations and companies is that construction managers subcontract the relationship. You don't want the sub to come back and try to trick you with too high of costs or too high of numbers. You want to make sure you're vetting every single part and piece that he's estimating for.

      But we actually were able to use this situation as a positive exercise. Where we brought the subcontractor in and we said, hey, we're able to identify these areas, these pieces of steel that were added to the model, so let's work together. Let's come up with a number that makes sense and that's accurate.

      And we forged a pretty decent relationship with our subcontractor that way. We were able to not only use the filters in Revit to identify the steel tonnage and produce schedules that way, but we were also able to use that Revit DB link.

      So as these PCOs came out, and there was probably about 30 to 40 of these that came out, we were able to have an overall federated model that had every single steel add and PCO in it. So that way we knew what was new and what was old.

      These PCOs ranged anywhere from just about $5,000 worth of steel adds to some of them were about half a million dollars worth of steel that was added. So this was a humongous effort, not only on the VDC department, But Also our subcontractor, as well.

      MELINDA HOFFMAN: One of the things we found out, we did some laser scan tests. It's not really estimating, but I know a lot of you are here in the AC. For this building we did a lot of laser scanning with beam deflection flatness levelness.

      David was talking about the large water pipes that were in here. There were four 48-inch water pipes on a single rack with white steel. Before they were even filled with water, they'd already deflected an inch and a half. They had to go back in immediately and fix the steel and reinforce it before they even decided to turn the water on.

      DAVID NACHREINER: Another tool that we were able to utilize that was really helpful to us, was actually Navisworks We were able to open up the new Revit models within Navisworks. Highlight the areas that were old. And then highlight the areas that were new by adding just a simple color.

      And we were able just to kind of pan over real quickly and identify the areas that were new and old. And that way we could specifically focus on those areas to identify quantities. Like we were talking about before, we utilized the comments field and the filters to apply the actual PCO number to the take off that we were providing.

      A lot of, a few times we were working on maybe two to four PCOs at a time, so the schedules we were producing we were able to add the comments field into the schedule itself, and then organize our schedule by the PCO that was being affected.

      MELINDA HOFFMAN: When we build our models internally, we actually create a parameter in our default schedules that's called AA underscore Program Area. And it's not because we're alcoholics. It's because AA appears at the top of the schedule. So it just made it easier for us to find.

      And then we use that consistently when we model in-house. That allows us to put that program area in there or to use it as an additional field to the comments field. You just do that using shared parameters, if you're familiar with Revit.

      In our handout online, it goes to the details of how to create a shared parameter. And some of the other concepts that we've talked about, we did a how-to document or we gave you a link to a great YouTube video. Because why recreate the wheel if there's an amazing video out there that lets you do it?

      So at the end of the class, we're asking you to do the surveys that are important to us, are important to AU to make sure that we've done our job. And if you could take the time to go fill that out and let us know what you think, that would be great. And any questions? Yes.

      AUDIENCE: What do you recommend doing when you don't have an architect that works with you? [INAUDIBLE]

      MELINDA HOFFMAN: So the question was, what do you do when the architect won't work with you on the model. How do you handle getting new models each time? And that's where what David talked about with the DB Link works. So you take the first model, you add in the parameters. You clean up the model the way you want it to.

      You use the DB Link tool, which will export all those parameters, all the clean-up you've already done, to a database. Grab the new model and you bring all those parameters back in. Then the only thing you have to do is what's changed. Which is typically a lot less than doing the whole model over again.

      Honestly, that was the only architect we've ever had that worked with us that well. Most of them aren't cognisant of what we need. And we are having to go in and clean up models. And this is part of our process, that we know if we want the estimators to be on board and to trust the model, we know that we have clean-up a little bit to do on our end first. Yes.

      AUDIENCE: How do you manage to count what [INAUDIBLE]

      MELINDA HOFFMAN: The question is, how do you quantify what's not modeled.

      DAVID NACHREINER: That's a good question. I come across that issue a lot. So a lot of times I have some estimators that I have to prove that we can use the model and prove what the model can do. In that instance, if the connection is not modeled, then it's not modeled and I can't take it off.

      However, it is in the detail drawings. And I will reference the respected estimator to those detailed drawings. We've had issues, we've had projects in the past where there was we were able to use the model to identify not only things that were there, but things that weren't there.

      So for example, there was a project that we worked on where there was a pier, there was a column, but there was no footing. But obviously we all know there should be a footing underneath a pier in a column.

      So I was able to identify the areas that weren't quite finished yet in the model and reference the specific sheets within the model and they were in the detail drawings. We were able to take them off that way.

      So it kind of worked a little backwards in that aspect, where I couldn't produce them a 3D element or a schedule based on a 3D element, but I was able to identify areas in the drawings where there were schedules and detailed drawings for them. Does that answer your question a little better? OK.

      Did you have a question?

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: Yes, absolutely. The question was, if you had an architect on board in a design build situation, would you try to set up a template. Absolutely. If they are working with you, you want to make sure that some of those things that we've talked about with the functionality of walls, roofs and where floors end and roofs start, all of that's laid out at the beginning.

      Just like when you're starting a project with an architect and a structural engineer and you're talking about who's modeling what, you have that conversation of collaboration.

      DAVID NACHREINER: That's a great chance, too, to forge a relationship. I don't know about anybody else in the room, but a lot of the architects we work on on some other projects, we've worked on in the past before.

      So if you can forge that relationship and that rapport with an architect, chances are they're going to be an architect in a project you're a CM for again. And it's just a great way to kind of forge ahead with that relationship.

      MELINDA HOFFMAN: Does somebody back there have one? Yes I'm going to have to move so I can hear you.

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: Are you using Assemble for your cost estimates, and does it talk to your database?

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: Inserting the cost per units.

      DAVID NACHREINER: We don't insert the costs directly into Assemble. The main, and I should've mentioned this earlier. The main thing that, a few main things that we use Assemble for is the model comparison tool where we're able to compare iterations of a model.

      So like I was saying before, we export the models right out of Revit with those program areas in them. We're able to use Assemble to create views of say, the hotel. And then we're able to compare the views of the hotel between model iterations. That's probably the main thing we use it for.

      We also use it for, so people can actually see and pan around the model a little bit, as well. The actual cost input into the program is not something we've entertained at this time. But we have talked about it in the past.

      MELINDA HOFFMAN: It is hard to, with the ever changing cost of components. If we input costs then we have to be responsible to go back and change those as the market changes. So it doesn't read from the RSMeans database or any of those databases right now. Yes.

      AUDIENCE: [INAUDIBLE]

      DAVID NACHREINER: The question was, are we setting up the views within Assemble or are the estimators. I set up the views for them. So they're able to set up the views. It's not like I don't let them set up the views.

      We went through an exercise once we started utilizing the software where I sat down with the mechanical estimator, plumbing, electrical, structural, civil, all respected trades, and I asked them what they look for in models. Or how they like to see their schedules produced.

      I collaborated with them. Took the information. And the views I create within assemble represent what they want to see. Kind of sounds crazy. For example, we have two project captains that like to see their wall schedules in two completely different ways. So I got a John schedule and I got a Matt schedule. And it's just for wall partitions.

      So they have the power to go in there and create a schedule themselves. I think that the organizational chart of how it works or how it looks in the interface of the software works better if just one person spearheads it, and then is an admin for everybody else.

      MELINDA HOFFMAN: As far as viewers go, you know Assemble is our main viewer for our estimators. We train them in Revit. When I first started, I created an estimator Revit training, which was geared to exactly the kind of activities they needed to know how to do. And it never stuck.

      Because they were people that were never past the CAD world. You know, they're used to estimating PDFs and they couldn't grasp the concept of that third dimension and getting those schedules out of there.

      So the first thing I did before Assemble even existed was I'd install Revit on their machine and I'd remove the icon for real Revit and just let them have the viewer. Because we didn't want them stealing one of our licenses. Because at the time, we only had three.

      That allowed them to at least open the model. But I was finding that none of them would do it. Revit it was too overwhelming for them to take on.

      The other one is Navisworks Freedom. But that just involves us getting into a different quantity take off tool that they're not familiar yet with. And Navisworks itself is very simple, but it can be overwhelming, as well.

      So with Assemble, it's just a really easy viewer. And it's really not that expensive. You pay per project, but it's pretty inexpensive per project per year. Do you know what it is?

      DAVID NACHREINER: It's about 3,600 bucks.

      MELINDA HOFFMAN: 3,600 bucks for a year for unlimited users for a single project.

      DAVID NACHREINER: It may be going up though, so don't hold us to that number. You gotta talk to the Assemble guys.

      MELINDA HOFFMAN: I believe they're in the exhibit hall. You have a question?

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: What's our strategy when we're modeling in-house? Distributing work. There's three of us, so we normally take the project on ourself.

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: Typically, since it's modeling it by ourselves, we don't utilize worksets. But we'll use the program areas and the filters to allow us to break the building up. And because we're doing it in-house, we know all those nuances. So we do make sure with the estimating template that we have, that we're modeling with the idea in mind that they're pooling quantities out.

      I will tell you, we have two different ways of modeling. Modeling for estimating and modeling for scheduling, sequencing, and proposals. So depending on the activity, depends on how we model.

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: In one model, yeah. Well, for estimating purposes, a lot of the times we're not modeling duct work and plumbing. Because quite frankly, the plumber can take it off faster than I can model slope piping. It's just one of those tools in Revit that's not as user-friendly as modeling a wall.

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: I've used worksets in the past. In my old job we used worksets all the time. But enabling the central model just, to me, is just an extra step that we don't necessarily need. And we haven't gotten to the point where we modeled such an intricate model where we needed it.

      Most of our estimates are pretty early on, like SD, where we're given a proposal and they give us three sheets and they're just floor plans. And our estimators are like, what the heck is this supposed to look like. So we're really modeling conceptual designs to where I don't think a workset is necessary at that point.

      But if we were ever getting into design build, I would agree that at that point you might want to start breaking that model up. Does that make sense?

      AUDIENCE: [INAUDIBLE]

      DAVID NACHREINER: Whenever you don't need it anymore. I think a good point to make here is like Mindy said, we create models for two separate things, pre-construction and [INAUDIBLE] estimation. So you can wrap into the logistics and the coordination of the pre-construction and the estimating kind of is involved in pre-construction but it's mostly for the estimating department.

      I think the two things that those models share is the sustainability that you create. I think that you stop creating that model when you're no longer tasked to create that model. When there's no longer a use for it.

      MELINDA HOFFMAN: No longer valued.

      DAVID NACHREINER: A lot of times we start creating a model at a very conceptual level. We get a couple floor plans from an architect that are colored and look nice and we create an interpretation of a 3-D model based on those documents.

      And then we'll put together our numbers. Those numbers'll go out the door and then we may not entertain that model again for a couple more weeks or maybe even a couple of months until we get we can maybe get an SD model at that time or we create an SD model.

      So it's really project-specific and it's dependent on what you're creating the model for. But as long as that model sustainable, that you can go back into that model, edit it, add to it, take away from it, manipulate it in an efficient manner.

      MELINDA HOFFMAN: We have a few projects where in-house we've done the models and pre-construction for one reason or another. And we ended up keeping up with that model through coordination process. Because the architect did not model anything.

      And so one of the projects was a casino and it was a smaller project, that we decided to model it all in-house. And it was a huge cost savings. The owner actually sent a gift card to us because he was so excited about what we did for his project.

      The architect's not in Revit. They don't model anything. And for us to coordinate the complexity of the casino, we really needed to have the model. So we took it upon ourselves, which was a liability risk. I mean I'm not recommending that you go out and model every project that's not modeled.

      Because what happens if you accidentally miss something? Now it's your responsibility as a problem. But it had an intricate ceiling system and we found by taking the structural subs model and bringing it in, there were a lot of MEP issues with where the soffits were, where the steel was actually outside of the soffits and it was hanging out inside the casino.

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: The question is have we used the models inside of Navisworks. Yes, absolutely. Another presentation I'm giving internally to our company to talk about what we've been doing over the past four and a half years, we have four particular ones where we've taken them from pre-construction all the way through coordination and we've modeled them in-house.

      AUDIENCE: [INAUDIBLE]

      DAVID NACHREINER: Sure, the question was, how do I identify the deltas in the change orders for the model? So we used a couple of different things. To kind of walk through it in an overall sense without specifying specific tools, we basically took the old model. I'm sorry, excuse me.

      We took the new published model, identified the area that the changes existed, and applied a parameter to those areas. Or at the same time, we took the model that, the old model, the existing model that hasn't been modified or changed, that already had the program areas and filters specifically pertaining to the areas in it.

      And we did the Revit DB Link, Database Link, exported the database, applied it to the new model, and were able to identify the areas that were in the new model. We were able to identify them because they didn't share the same color or the same text parameter as the older model.

      We also were able to identify them because most of the time the engineers, specifically for the steel, gave us, when they issued a PCO, they issued the set of drawings that that PCO represented. And they had the steel highlighted on the 2D drawing.

      So that allowed us to go into the model and quickly identify the specific area that changed. But also to make sure that all the pieces that we're new we're actually on that drawing.

      Using those parameters, too, what you can do is when you apply filters you can always set the transparency down to 10% or 20%. So that anything that doesn't have a parameter applied would show bold. And everything else kind of shows up as a ghost kind of look.

      That'll help you to show, convey that information to somebody else and say hey, look, we got this new model this week. This is how much stuff changed over the last week as a visual.

      Another thing that I find, at least productive in my end, is so similar to Navisworks, bring both iterations of the model into Navisworks, making one red and making one blue, locating the areas that there's differences or discrepancies.

      If you have a specific floor that may be changed or maybe a specific room that changed layout and you want to see and identify those specific areas, I would just, I honestly, I've done this in the past. I would export it to CAD. Create it as a block in CAD and create drawing A, drawing B.

      Change their colors and overlay them on top of each other using a centralized point like a grid line or something like that. You're able to quickly identify the 2-D differences and that way you can identify them in 3D and add parameters to them to get the quantities quicker. Does that help answer your question a little better?

      You work with a lot of change orders in your firm?

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: Assembles' really a better way to do comparisons with models. I mean, it's much better than Revit. 'Cause then you load a model one week and the next week you load another model. And there's a button right in there that compares them.

      And it highlights everything in red that's deleted, everything in green that's new, and everything in blue that's changed parameter.

      DAVID NACHREINER: The big thing with Revit to assemble workflow, is you are going to use Assemble or use a product similar to Assemble, it's very important that you make sure that your parameters and your model in Revit is organized the way you want it. The way you can easily identify changes, before you publish it into the software of your choice. In this instance, is Assemble.

      MELINDA HOFFMAN: Yes.

      AUDIENCE: [INAUDIBLE]

      MELINDA HOFFMAN: Between Revit and Navisworks, I would say no. But when I first started, we were using Innovaya. I'm not sure if you're familiar with Innovaya. It's kind of an older 3D model or 3D estimating software.

      What we noticed within Innovaya was, for example, the steel tonnage take offs in Revit, if you ever modeled steel in Revit, you'll notice if your column to column and beam, it'll cut the beam short of the column. But then the line goes to the center of the column. Innovaya only took off the actual component, not the whole distance.

      So we were coming up with, on that casino project, we were coming up tons of steel short. And the estimators were having a hard time trusting that data. But when we pulled the same exact schedules in Revit they were much higher.

      And what we were finding was, Innovaya was only estimating the actual component and not the full length. Where Revit was doing the full length. So those are some things you absolutely have to watch. But as far as Navisworks and Revit go, I think they're pretty similar in how they function, where Innovaya was a different company software.

      DAVID NACHREINER: I think the caveat off of that as well, a lot of times when you're using these three softwares or for example, Navis, Revit and Assemble, we'll throw that and there, you're using them in more of a workflow mentality. And not using each one separately. So you're using them all combined together.

      So the chances of there being a discrepancy in the information that they produce is slim. Also, you're going to only be producing information out of either Revit or Assemble. You're going to be producing your schedules, at least. So there's no need to produce two sets of schedules.

      And if there is a discrepancy, this has happened to me in the past, it's because of a mistake I made in the model. I didn't select an item and give it a parameter or I missed something as I was publishing it to the software of my choice.

      AUDIENCE: [INAUDIBLE]

      DAVID NACHREINER: I do not use the material take off that much. I haven't used it. I used it actually for the first time a few weeks ago where we were, same project, the casino. The interior partitions and the gyp board contract in this project are so massive, that they're most likely going to break it up into three separate contractors.

      So three separate contracts. You'll have three different companies in there hanging walls and hanging drywall. So I was able to go into our model, identify areas that pertain to that specific contractor number. So say contract five.

      So I went into contract five's area of the area of work, identified all their areas of work. But at the same time I was able to identify the exterior wall gyp board because that quantity is going to be on the exterior wall take off. So we were able to identify the interior gypsum, as well as the overall interior partitions.

      MELINDA HOFFMAN: The one thing you really have to be careful of with material take off, especially when it pertains to gyp board, is architects will model walls floor to ceiling. But you know gyp board doesn't go necessarily floor to ceiling. Sometimes only the metal studs do.

      So you have to really be careful on material take offs like that, because the architect isn't modeling with the idea of doing material take off. They're modeling with the idea of creating construction documents.

      DAVID NACHREINER: Right.

      MELINDA HOFFMAN: Just have to be very careful.

      DAVID NACHREINER: In this project's instance, they've been pretty good on modeling the walls as they're going to actually be constructed. So if the gyp doesn't go all the way to the underside of the deck above, it's not going to go to the underside of the deck above or they're going to stop the wall.

      Or they're able to identify the areas within their notes or their details so we can identify those areas.

      MELINDA HOFFMAN: Thank you guys very much for attending.

      ______
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      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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