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One Small Step for Man, One Giant Leap for Autodesk PLM 360 Implementation: Sprint to the Finish

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This class demystifies the PLM implementation process and shows through a case study that Autodesk PLM 360 cloud-based software enables you to be up and running in a matter of months. We focus on giving attendees an overview of the steps involved in a PLM 360 implementation and the steps that are necessary to plan for integration with other software including Vault Professional data management software, CRM, ERP, and MES. This class also explores the use of PLM 360 to improve cross-functional teamwork and global collaboration, as well as process and data optimization with innovative implementation use cases. If you are considering implementing Autodesk PLM 360 or are just about to begin, this class helps you prepare for your experience and gives you the knowledge to prepare ahead and accelerate the process.

주요 학습

  • Describe the PLM 360 implementation process, including the capability of and planning for integration with other software
  • Adopt key techniques to accelerate implementation and facilitate the process within their organization
  • Improve workflows, cross functional and global collaboration, and overall efficiency with innovative use cases for PLM 360
  • Use PLM 360 to optimize the development process, data collection, project management, and customer interactions

발표자

  • Avi Robbins
    Avi Robbins obtained his bachelor's and master's degrees in mechanical engineering from the Georgia Institute of Technology, and he obtained his master's degree in business administration from Emory University. He is now the director of Global Product Development for Porex Corporation, a porous plastics manufacturer, with headquarters in Atlanta, Georgia, and product development and manufacturing facilities in the United States, Germany, Scotland, and Malaysia. Avi's combined experiences give him over 10 years of involvement in the medical, industrial, and consumer markets in roles from product development and program management to operations and sales. At Porex Avi is spearheading the implementation of Autodesk PLM 360 software and Vault Professional software, and he has been responsible for vendor selection, implementation, and administration. As a member of the Product Development and Management Association, Avi enjoys sharing his experiences with the broader product development and manufacturing community.
  • Brian Schanen 님의 아바타
    Brian Schanen
    Brian is responsible for building and managing the learning content operations plan for corporate meetings and events (Autodesk University, One Team conferences) including in-person and online content strategy. He works across teams to create and manage processes and protocols. This includes coordination, execution, and support of divisional teams, including monitoring scope, relationships, and deliverables across stakeholders.
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Transcript

AVI ROBBINS: All right. Good afternoon. How's everyone doing? We're going to talk today about PLM 360 implementation. The course is really designed for people that are just thinking about implementing PLM 360. Or for people who are just considering purchasing p 360. And we're going to talk about our use case, how we implement a PLM 360, what we're using it for.

I'm Avi Robbins. I'm the director of Global Product Development for Porex. And we'll go into a little bit of detail of our use case. With me here, today, is Ian Haddon. He's a Solution Architect from Autodesk. He helped us implement PLM 360. And, of course, Brian Schanen, who will be moderating the class today.

Just a little bit of a administrative work. This session is being recorded live. And it is being streamed online. If you're in the room and you want to ask questions, you can just login, check in to the mobile app and type in your questions that way. Or you can-- for all the online viewers-- you can just send a question via Twitter.

Brian will be monitoring the Twitter feed and the check-in questions. And periodically, we'll be stopping to answer any of your questions. And, of course, don't forget to fill out the survey at the end of the course. We really use that feedback to shape the courses that we offer next year.

So just a little bit about myself. Again, I'm Avi Robbins with Porex. I've been about 10 years in industry-- in medical, consumer, industrial electronics industries, in various roles from product development to sales and operations. And right now, I've been responsible for spearheading the PLM 360 implementation and the selection process at Porex.

IAN HADDON: Hi. My name's Ian Haddon. I'm a Solution Architect with the Autodesk PLM Consulting Group. I've got 10 years now, PLM experience, with various different PLM products. I Was actually on the implementation at Porex as the solution architect, worked very closely with Avi, laying out the solution that we've implemented there.

AVI ROBBINS: And we have Brian Schanen from the PLM Technical Marketing team. He's really the PLM, PDM veteran. The evangelist and nurturer. If you need to any assistance with PLM, Brian's the guy that's going to get you through, make sure you know how to use the system.

So what we're going to do today is just talk a little bit about our use case. What's Porex doing with PLM 360? What are the steps involved in implementing PLM 360? A little bit about integration, you know, how to integrate. We did it to our CRM and our planning for our Vault Professional integration. And then some tips and tricks.

So the first two steps are a little bit more high level. Then we'll get into some tools that we used within the implementation and integration process, to help us do that more quickly and to help us with our change management process. And then at the end, we'll go into the tenant, show you our demo tenant and some of the innovative use cases that we're using PLM for today.

So our PLM journey-- Porex is a manufacturing company, but we're really a new product development company. We develop about 600 products a year. We're making porous plastic. And what is porous plastic? It's plastic components that have microscopic holes in them. This is used for wicking, venting, filtration, diffusion.

And where you might have seen it is in children's coloring markers. The tip is porous plastic. It allows the ink in the barrel to wick through to tip. And it allows you to write it on paper, without getting all mushy like the old felt tip pens you used to use. It's also the medium in the plug in air freshener that brings the oil from the bottle up to the fan that disperses the fragrance into your room.

If you're big into sports, it's in your sports bottles. You have a black carbon filter to filter out the chlorine taste. We make those filters, as well. So we're in tons of industries. I mentioned a few consumer products, but we're in electronics, industrial, medical applications. It's really a functional component that allows our customers' products to work.

And in order for us to manufacture these products, we have to develop and define them. And we do this across the globe. We have four manufacturing facilities. One in the US, Germany, Scotland, and Malaysia. So you imagine, we have a pretty distributed development and manufacturing team that's trying to get these products to market.

At any time we're producing thousands of SKUs to make 30 million components, daily. So we really have a pretty big operation for a small company-- 750 employees, globally. And really rely on our systems to help us meet the needs of our customers. So what are our business challenges?

Well, growth, of course, is everyone's challenge. How can you grow faster? And really, when I came into my role, I was tasked, how do we grow product development and really globalize our organization? We were really regionally. We had our team in the US. A team in Germany, Scotland, and Malaysia. Everyone was acting independently, developing our products, using our own systems. And we really needed a way to bring that together so we could properly prioritize our resources, but also to gain a common knowledge from a development that happen in one region, why reinvent the wheel somewhere else?

We really needed tools to help us collaborate. And that's, really, a big part of product life-cycle management. So before we even picked PLM 360, we really decided that we needed a product life-cycle management tool to help us house this information. When we're going through our development cycle, we're creating specification, creating tools, developing all these different pieces of information and putting them in buckets all by themselves-- some in Excel, some on pieces of paper, some through email, some in custom software that we wrote.

And we really didn't have a good way to put all that together. So at the end of the process, when we need to turn our products into production, we have to go back and search through all this disparate systems and really reinvent the wheel, at the end of the development cycle, before manufacturing could take over.

So product life-cycle management is going to help us tie all these pieces together. The product will be linked to the project, which will be linked to the quality documents, which is linked to the manufacturing documents. And when sales is out on the road, they can easily login, see all the information they need. When product development is out visiting customers, they can easily login and see everything they need.

And so here's a snapshot of the mess I describe a few minutes ago. If you pay attention to all the dotted lines, that's a manual transfer of information. You see email moving to our CRM, our CRM tool. We see manual information going into our share drives. So we were storing a lot of information on shared folders, but not just one shared drive, right?

Product development was putting their information somewhere. Manufacturing another place. Quality another place. We're using Access databases, Excel, different pieces of CAD software. We have two different ERP systems. We have a manufacturing execution system.

So we have a lot of information that's being authored, put on paper, typed into another system. And we really wanted to clean this process up. So we decided that PLM should be the single source of truth for our information. We're going to create the product record, the item master, in PLM, and it's going to own the product life-cycle, from creation, to change, to obsoletion. That will all happen in PLM and we'll push that information to our other systems.

So we have one place we can control all the information. Everyone in our different regional offices can access the same information and always have real-time information on what's wrong with our projects, what's going with our quality records. It's really going to be the way for us to be more efficient in the future.

So aside for manufacturing, a big part of it is project management. How can we take 600 projects that are in the pipeline and make sure we're working on the right one? And with a small team of engineers, we really need to prioritize our resources, make sure we're working on the projects that are going to be best for our organization. And when a customer has a need, how can we make sure we can prioritize our resources to meet our customers demands? So without having this global transparency, there's really no way to effectively accomplish that.

And here's the to-be system, right? With the use of Autodesk PLM 360, this is what we hope to accomplish. Very few pieces of information leaving one system, moving to the next. And most, that is, is actually being done in an automated basis. So PLM, here, is in yellow. You can see it's going to take over our new product introduction process. It's going to look at our management reports, issues management, ECO, the Change Order process, manufacturing quality.

Eventually, we're going to implement Autodesk Vault, which will store our CAD data, which will be linked to PLM, so that our project and product record is linked to the CAD that defines it, for manufacturing, and linked to our ERP. So we develop a product, develop a specification, and it gets pushed, automatically, for transactional information to happen in our ERP system. And, of course, we'll link that to our MES system. So you define the product, how you're going to manufacturer it. And then MES Manufacturing Execution, will control our batch records.

And the good thing about PLM 360 here is, we have different business needs, right? Each region is very similar in the way we operate, but we're not all the same. So we still have this need for homegrown solutions, or different business processes. But PLM 360 acts as a foundational development platform for us.

So if you want to build a homegrown system, you can do it in PLM and all the data will link together. There's nothing wrong with that software that you wrote to do exactly what you want. The problem is, how do you get the information, natively, between departments? And that's where PLM is going to offer us the solution.

So what are we doing with PLM 360? I mentioned a little bit about this before. But project management, the new product introduction process, is a big part of this. We're using it to control the product, or our item master. We're going to use it to look at our customer and contact information, so that the product development engineers know who they're working with and can keep track of the customers that they're dealing with on a day-to-day basis.

We've implemented an integration to our CRM system. And we're using it for a reporting, as well. So our monthly metrics reports and other pieces of information that we need to gather on our pipeline process, we can pull out of PLM 360. In the future, we're looking at materials management, sample order management, document control, tool design, tooling orders, our quality system, costing. I mentioned integration to Vault. And eventually, integration to ERP. And so we've completed Phase 1A, we call it, what you see in the blue box, here. And we're actually, in January, going to be launching our Phase 1B.

So this is just to give you a context of where Porex has come from in our PLM journey. And when we talk about it this afternoon, we'll be, how have we learned from this process? How can we help you when you're planning your integration or your implementation of PLM 360? Are there any questions, so far, Brian, about our journey?

BRIAN SCHANEN: No, none so far.

AVI ROBBINS: OK. So we'll move right along into, what are the steps involved in the Autodesk PLM 360 implementation process? And again, this is a high level look of how we think about what we've learned from the implementation process. And I can sum it all into two lines. Think big, but start small.

It's really important to have that grand vision, like I showed you a few slides ago, how we're going to use PLM 360. All right. And make sure you really understand how you can use it in your organization. But at the end of the day, you can't do it all at once. The big bang approach just won't work in a flexible environment that is required today.

And so what we think about is a three-step approach-- discovery, system architecture, and then making it happen. The discovery process, really, is about starting from the beginning, understanding your business needs and defining your business processes. And it doesn't have to be what your current process is. It can be what you want your process to be.

But for a company like Porex, some of our processes were on paper. So we didn't have a process map. And the big thing, for us, was to take the time to define what the process should be. All right. So putting it into a tool like Visio, or any flowcharting software, so we could really see, what is the process we're trying to govern in PLM? PLM isn't a solution on its own. You need to create the process that you want it to govern for you.

But really, I can't stress enough having the business need defined. What's really that pain that you're going to try to overcome? For us, it was growth. How could we really double in size without having a tool to make our implementation of products faster? I don't know if you have any insights on that process, Ian?

IAN HADDON: Yes, I just want to talk a little bit about the picture that Avi's got up there. I know it's difficult to read in the room. But what we did for Porex was, Autodesk consulting came in. We sat with Avi for about a week, give or take, and just really talked about what Porex wanted to get from their PLM implementation.

So Avi said a few things here, today. He's talked about new product introduction, change control, mentioned quality. So every time that Avi mentioned one of those things, we thought, OK, what is that quality want to do? What is quality at Porex? So the main thing that they wanted to capture as part of new product introduction was the development of a quality control plan.

So as we had that discussion, we drew out a workspace map. And what a workspace is in PLM is, it's a container that holds records that share the same information-- same fields, same workflows, same tabs. So for quality we said, OK, we're going to need a workspace to capture that quality control plan. We're going to need a workspace to represent your projects. We're going to need a workspace for your products.

And we went through, and we built out a map of all the workspaces we thought we'd need to implement everything that Porex wanted to do. This was really that "Think big." Once we got the map put together, that's where we then looked at and said, OK, which workspace do we want to build first? Which do you want to do second? Which ones are we going to do for part a Phase 1? And then we went through and started building out those workspaces.

AVI ROBBINS: And so, really, it allows us to have a modular approach. We could see the big picture. How we wanted all the information to paths between the different workspaces, so that when we're in the project workspace we can link it to the customer workspace and get the information for the contacts of that customer. When we're in the tooling workspace, the tool designer can get the information about the product to see the specifications, so that all the information is link appropriately.

But we don't have to do that all at once. We can start with NPI process, start building that information, because we know, in the future, how we're going to link the other pieces into it. So it really allowed us to start with one piece and move forward. I'll be honest, with our implementation, we thought really big, like you saw. And then we picked a chunk that we thought would be manageable, but involved about 20 or 30 different workspaces.

And so we were getting about a month away from when we want to go live, and we were 90% done with all of the workspaces. But we weren't going to be able to make that last 10%. Because, when you're building out your implementation, you have to think about, you're going to have a pick list with all these values. Well, who's going to populate the pick list? What are the right values? What should the field name be called?

There's all these minute tasks that have to be accomplished, but they have to be checked. And you need to reach out to your audience and make sure you understand what really should be there. And that last little bit of refining and correcting can be a big task if you have such a huge scope.

So we then narrowed it down. Picked one scope of NPI, and decided, let's finish this. We could be done in a week, instead of a month, and roll it out there, start getting the user feedback. And that really comes down to the making it happen part, right? That's developing a core team and process experts.

And what the difference is, the core team are the people that are going to make it happen. They're going to be defining your workspaces. They're going to be building the fields, creating the pick list, reaching out to the process experts. The process experts are the ones that are of your department heads.

They're the people in quality, the people in manufacturing, the people in sales, marketing, product development, in each of your different offices that have a stake in the processes that you're going to be developing and implementing in PLM. And they're really a valuable resource. They're going to help you understand, what's the business process they need you to implement in PLM? What's the information that should be put in, data that needs to be imported?

They're going to be the source of that data. They're going to help you clean and refine the data to be imported into the tool. And really, they're going to be the user acceptance testing people. They're going to help you test the product, give you feedback before you roll it out to a wider audience.

IAN HADDON: And the one thing that we made sure of at Porex is, we kept that core team small. It was six people, total, maybe seven. But by having that small team, we were able to make decisions very quickly. If we go to a place where it was, "Do we want option A or option B?" it didn't take long for that team to evaluate both options, pick the one they wanted. And then we could move forward with the rest of the implementation.

The process experts, that was the bigger team. If the core team weren't able to make the decision, they were empowered to go to those process experts, get their advice, show them, and then get that decision made.

AVI ROBBINS: Absolutely. And so Autodesk really played a big part in this process with us. They were one of the reasons we selected Autodesk, aside from total cost of ownership, and the really ease of use of the tool was the partnership we felt we could have with them. They really came in, in the discovery process, helped us understand the business needs. Helped us map out the road map for how we could implement such a large scope in a phased approach.

And we'll talk about that in a little bit more detail in a few minutes, here. Are there any questions, Brian, about the overall implementation process?

BRIAN SCHANEN: None, so far.

AVI ROBBINS: Good. So let's talk a little bit about integration, then. What's the integration that we performed? We integrated to our CRM system. And we're planning, right now, the integration to Autodesk Vault Professional. All right. So if you're not familiar with CRM, that's Customer Relationship Management. That's the tool that our sales people use to have the leads or inquiries come in. They manage that process, manage the customer information.

And when they're ready for engineering support to take the product to market, then the data gets pushed into the PLM system. And I'm sure most of you aware, Autodesk Vault Professional is the place where we store CAD data. And linking that to PLM will allow us to pull up a project and see the CAD file, which you'll see here, shortly.

So really, the lesson here is, you can only have one master. You've got to think about, where's the data going to be controlled by? And when we looked at integrating to our CRM system, we had to decide how are the people going to use the tool? How is the sales going to go in and author the information, consume the information? How is product development going to author the information, consume information?

Realizing that we can't implement something to the benefit of product development to the detriment of sales. We need to make our overall company better. And you can't do it for one department at the detriment of another. And so we thought, let's separate the functionality. Let's make sure that sales can go and update the product information, the value of the project, what are the estimated sales, the target launch date. All the commercial information, customer information. But then, own that in CRM.

And then, let's push that into the PLM. So then when product development is developing the product, they know what the value is, so they can prioritize their projects. They know what the target launch date is, so we can move things within the pipeline to make sure we're working on the right projects.

And sales doesn't have to go in to the PLM system, if they don't want, to see the status of their project, because we're taking the status of the project from PLM and pushing it back into the CRM. So what I just described was two one-way pushes of information. So for some information, we're controlling it in the CRM and pushing it to PLM. For some information, we're going to control it, or master it in the PLM and move it into the CRM. And that's true for all of our systems.

So if you think about one single source of truth, the PLM is going to be the master for our item data, right? It's going to hold the product specifications. It's going to hold the quality information, the manufacturing instructions. And it will push that out to the systems that need it. To the shop floor, we'll get a copy, the ERP system will get a copy for transactional records. But really, defining which system will be the master, and for what pieces of information is important.

And what's the deliverable? Who needs it and when, is important, because, just because you can, doesn't mean you should put all the information everywhere. It doesn't necessarily make sense to take every piece of information in the CRM, and just because we can, put it into the PLM. Because then you're going to interrupt the workflow in the PLM, and you're going to start to encourage the wrong habits.

We want to make it easy for everyone to use the tool, but we want to make sure people are using the right tools, and using it in the right way. So when we get further with integration, and PLM now has quality data, manufacturing data, CAD data, you don't have people expecting that to show up in other systems. Certain information should be in certain places, but it should be in other places, as well. And there's a lot of different ways to accomplish that.

You can use event-based sinking. Which means, when I perform this task, automatically push it to one system, but it doesn't always have to be that way. It can be a batch process. Maybe every five minutes, every hour, every week, every month you want to pull information from one system to the next. It really depends on your process. And it could have an effect on the implementation.

So for us, using PLM Connect, we were, within a week, able to connect the PLM to our CRM. What took us the long part was developing the business logic before that to figure out how we were going to push that information. What were all the rules that we needed to put in place for, when something changed, how would it trigger the information push?

So there's pluses and minuses to both ways of integrating your tools. But it really just depends on your unique situation. And that's where Autodesk really helped us to define that process, as well. I don't know, Ian, if there's any other lessons you think we learned from the integration process?

IAN HADDON: Yeah. I mean, the one thing, while we did some of the integration in Phase 1, we did it very late in that phase. And the reason for that was, we needed to get by the sides of the equation written before we could build the integration between them. So we had the CRM. We didn't have the workspace yet, in PLM. So we couldn't even start thinking about integration until we knew what that workspace was going to look like.

We obviously, as we were planning it, decided-- you know, there's, say, 10 fields in the CRM that we want to move to the PLM, So we needed to make the space for those fields. But we didn't want to build that actual integration too early, because you wanted the flexibility, what if we want to make 11 fields? 12? We to take some away? We didn't want to have to be do any of that work.

So at Porex, we built the workspace. We got all that business logic worked out. We kind of walked through the integration manually. When this happens, we'll move this information to here. When this happens, we'll move this information back. And then once we had everything worked out and manually working, we went in and actually built the integration to automate it.

AVI ROBBINS: Yeah. And that, really, is kind of the approach we're going to take with our Vault integration. As we plan for that now, we're starting to author of the product information. So now it's the time to integrate to our CAD data. So we have a product. We're defining some of the specifications, let's pull in the CAD information that defines what it looks like.

And the way we're going to implement that is, creating an item in PLM, we'll now push the creation of a container in Vault to be created where the designer can go, put in the right CAD data, then push that back into PLM for review, approval, and release to the tooling or manufacturing systems. OK.

So that's really just a high level look at how we worked on our implementation and the integration process. What we'll talk a little bit now is, what are the tools that got us there? What were some of the tips and tricks that we used to accomplish that? And if there's no other questions from Twitter?

BRIAN SCHANEN: Actually, we've got three.

AVI ROBBINS: All right.

BRIAN SCHANEN: So let's go. So the first one, what was the competition to PLM 360? Did you look at other solutions?

AVI ROBBINS: Yeah, we looked at some other big box solutions, some on premise solutions, some of the really big names that are powerful in PLM. And there's no doubt they would have done the job. But what really drew us to the PLM solution, PLM 360 solution, was the flexibility.

As a business process owner, I couldn't imagine sitting down for a month, putting a whole list of requirements on how we're going to implement the solution, then let someone go away and do it for me. What I really love about PLM 360 is, I can get in the system and create a field, create a workspace really, really easily. You can do it in a matter of minutes, right? And there's a lot of tools that allow you to control the system that you're working in. And so that really was a really important part of our selection process.

BRIAN SCHANEN: Good. So the next one, it's a really good one, what were the biggest pieces of resistance internally to adapting PLM 360?

AVI ROBBINS: With any cloud solution, you can imagine, people were concerned about security. Especially our process is driven by trade secrets, so we don't even have patents on our processes. It's all trade secrets. So our management team was really concerned on moving to the cloud and, what are we going to do with all that secret information?

And really, after we got our IT team on the phone with the Autodesk infrastructure team, they were able to alleviate all those concerns. I can't, personally, speak to all the technical details of that world. But I know that once our management understood the security that's in place on PLM site, we were able to move forward with no problems.

BRIAN SCHANEN: All right. So the last one for Twitter is, how many licenses of PLM do you have? And how many do you anticipate you'll end up with?

AVI ROBBINS: OK. Yeah. So we have about 750 employees, about, maybe, today, about 150. We have 150 licenses of PLM. That's going to be our sales and marketing team, our product development team, our manufacturing team, quality team. But that won't be enough. 150 won't be enough for all those users.

But for the first phase, we're probably using about 50 licenses. In the second and third phases, we'll get into the 150. But I would say, in the long run, for our company with 750 employees, we'll probably needed about 200, 250 licenses when we're all done. We want to make sure that anyone that's interacting with any of our business processes can get the information that they need. And so they're going to need to get into the PLM to see everything, in the future. Those are all good questions. Keep them coming, via Twitter.

So really, when you think about tips and tricks, If. You don't know where you're going, any road will take you there. That's one of my favorite quotes. It's really about defining the vision. And we talked about that in the previous slides about implementation. To me, that's all about executive sponsorship.

You've got to have someone that really believe in PLM, and that can really attach this to a defined business need. You know, we talked about that already, but it really is worth mentioning twice. That if you don't have a business need, if you can't define the business need, you can't guarantee the success. But I can almost guarantee that if you have a business need that your company can get behind, that your project won't be able to fail, because your company won't be able to afford to.

For us using product development growth as the business need and reduction in errors and easier access to information, really allowed us to focus our implementation on, what's going to be the best for our users? Really we're spending about 10% of our engineering, sales, and marketing time looking for information that we already created that should be accessible at the snap of a finger.

So that was really what drove us for PLM. And I think having the executive sponsorship was really important for us. Another reason, is for change management. One the biggest thing is I can stress is, change management is important to get your users to adopt the system. And you're going to go through the core team process, the process experts, to really engage people and make them really want the tool.

But at the end of the day, when you try to push out, let's say, a global partnering system that requires everyone to change their systems, you're going to have some resistance. And you need someone that controls that process to say, look, this is the business reason, and we're going to move forward. So as much as you do change management, you need someone that can put a stake in the ground say, look, we're going to move forward down this path. It's going to be for the better, but it might not be the same. And that's really where the executive sponsorship helped us out.

And building the roadmap, we really relied on the Autodesk team to help us with that. It was really, like I mentioned before, a true partnership. To come in, interview our team, understand our processes, and then spit it back to us, to make sure that we realized that they understood the processes we were trying to implement.

And looking at some the tools that they introduced to us, one concept is Swim Lanes, right? That's really about defining your process. So if you look at this, this is our new product introduction process. And it looks at the flow of information across our different departments.

So each lane in the swimming pool is a different department, manufacturing, engineering, quality. And you can see, as the process moves from left to right, there's an exchange of information. And we can, from that process, defining this process, we can start to capture, what are the opportunities for improvement?

So this is our as-is process. We can use that to define the opportunities for to-be process. And really, coming in, doing informational interviews, Autodesk was really able to understand what our business processes were, and what our business needs were. And map that into opportunities, that I mean going to talk about here, in a second.

So any of these tools are available. If you are interested in this, put a message on the Autodesk app, shoot me an email. You could find my information on the Autodesk University website. I'd be glad to share these templates with you. They're all either from Visio or Excel.

IAN HADDON: Just, while Avi's got that out, as Avi said, this was the to-be process. So one of the things that we did is, through those interviews, we mapped, to a degree, the as-is process. We didn't want to spend too much time worrying about the as-is, because we knew the whole reason Porex wanted PLM was to change that process.

So we focused more on the to-be process. Once we built this swim lane, we then combine this with the workflow map that we showed earlier and broke this down into, of all those workspaces we say we need, which bits of this process belong to which workspace? And what will the workflow for that workspace look like? So we took this swim lane and broke it down into a series of smaller swim lanes that we, then, used, when we were building the system, to build the workflow for each of those workspaces.

AVI ROBBINS: Absolutely. And really, defining the opportunities that come out of the to-be process, those are the opportunities. What are the business benefits we can get from implementing this process in a different way? And what we did was, in our case, identified eight different opportunities that were around our business processes. And ranked them, in terms of complexity for implementing. How hard will be to implement that in the PLM, versus the business value. What value are we are we going to get?

So obviously, the easiest and most valuable products should be right there in Phase 1. You should get those big wins. That doesn't mean that item two isn't really important, and we shouldn't include, also. But this really helps you define, what's the most important? And how can you break this huge plan that you have into manageable steps, into the little modules that we call it.

And using this tool, we can identify those priorities. And then put into a business objective road map. And this is really breaking up your implementation into phases and giving them business objectives. So in Phase 1, we want to improve our cross-functional collaboration. This is all about project management and NPI process.

In Phase 2, we're going to establish the product data foundation. This is integration to Vault, change control, document control. And beyond that, connected to the rest of our world, manufacturing, quality, all the rest of that data. And the simple process of taking those opportunities, linking them to phases, and linking them to opportunities, you can then identify which departments in your organization are going to be affected. What systems that you have are going to be affected. Are they can be improved? Are they can be integrated to? Are they going to be replaced?

And it seems like common sense, but if you take the time to do this, what you're doing, really, is saving yourself time, later. Because you're going to need to communicate this to your organization. You're going to need to tell the department, hey, look your tool is going to be obsoleted in the next six months. We need your input on how to design the new tool for you. So this is really your business roadmap to say, hey, here's the benefit of what we're doing. I need to come on board and help me define this, so that we can make your job easier.

And as we talked about before, identifying the core team. Putting it into a simple core team map is a great way to save time on knowing who to communicate to. So taking a look at your departments on the left, and your phases, up here, you can say, look, here's my subject matter experts. Here are the process experts. And here's the representation on the core team. So as Ian mentioned, we have a small core team, but a lot of people that are giving input to that core team.

And here we know, what are the business objectives that we just identify before? And how do they affect different people? So just taking the time to put together the simple map, although it might be in your head, if you're the project manager for your implementation, you need a way to communicate this to the team. You need a way to structure your road map and to communicate the benefits and who's going to be affected by each phase of the implementation.

And it's also a great way, when you get flooded with support questions, to push them back on the core team experts, the core team and the process experts, who already are very familiar with PLM and can, basically, help your distributed user base. Then it's really about showing the value, right?

So when you're going out there for change management, how can you make sure your users are adopting? Well, it's showing them the benefits. It may sound simple. And in some cases, you might be adding steps to the process, instead of taking them away, but there's some advantage to that.

Maybe we're, instead of just using Excel spreadsheet, we're asking people to take data off the spreadsheet and enter it into the system. Well, by having metadata in the system, we can easily search the information. So instead of creating, one big part of our processes is samples. We make a lot of samples to test a lot of different materials to see what the functions are going to be.

But in the course of the 50 years we've been in business, we made hundreds of thousands of different samples. Well, I can almost guarantee you, we've made each sample more than once. But we haven't been able to rely on the test data history, so that we don't have to reinvent the wheel.

So we're basically building a knowledge base. By entering the data in, natively, we can now search and create a knowledge base of information. So when we have an idea in the future, we can go back and search for, let me find a product that has an air flow of x, or a dimension of y. Find a sample we created. And at least we have a starting point. So that's really one of the benefits that we found.

It's also an opportunity to standardized and secure, early. So these are two of the more daunting things that we had to consider. And it's really a good time for you to consider developing new standards. What does that mean? Well, really, like I mentioned before, we're adopting a brand new part numbering system.

So we have four different manufacturing facilities. Each one of them has their own part numbering system. Well, how can we claim to be a global organization? How can our teams work together where I could have a part number in the US that conflicts with a part number in Germany? Right?

We really needed to standardize and commonize our part numbering system, which means a big change. So having the help from the top, we were able to implement a new part numbering system. But we have to start early. You've got to get people engaged in the beginning, understand their needs, understand what are the challenges they're going to face. And maybe we needed to put in more systems to help manage the new information.

Some people were using smart part numbers. So they relied on knowing what the series of numbers meant. But now, that information will be in PLM and available to them. So it's really about communicating the change. And how you can use a new tool to make it easier. But the main point here is, think about that ahead of time. If you're thinking about implementing it, think about what are the processes that you can standardize.

Another one, you can see in this example, is item types. All right. So we sell products in eaches, in thousands, in packs, in linear meters, linear feet, meter squared. Well, that's a headache for capacity planning, for manufacturing planning, for inventory. And it's almost impossible to do business reporting on all these different item types.

Well, we can't pick just one, but we can greatly reduce it. So taking the time, up front, to say, hey, look, global team, we're implementing a new system that will help us control our products. Let's standardize on the types of items that we're going to create. And now we can have a system to help control that. Where before, people to do whatever they wanted, we now have a system to help us control this new standard. And we did that for machine names. There's a whole host of opportunities to do this.

And another thing that can seem daunting is permissions. So if you think about it, you've got, on the left side, here, maybe 20 different workspaces. And along the top, here, 5, 10 different user groups. Well, when you multiply that out, there's a ton of different opportunities to create permissions.

Who should have access to what, in the system? And just by creating a simple Excel spreadsheet, you can really start to see the pattern of opportunities to create these permissions. So instead of creating one permission for each workspace and each group, we can now see a commonality. And see, oh, look, for projects, sales, product development both need to read and write access to this workspace. But they don't need to see this one. And they don't need to have write access to the other. So you can create one permission, now, instead of 10 different permissions.

And if you haven't implemented PLM 360, this might seem a little too deep in the trenches for you. But when you think about any kind of permissions that you're trying to create, you need to be able to control information and make sure the right people have access to the right information. And make sure that other people can edit what needs to be edited, or can view what needs to be viewed.

And really, if you think about it all once, it can be daunting. So really, just taking a step back, mapping it out like this, really helped us to implement it in a much quicker fashion. And last but not least, it's about the user base, right?

User acceptance testing was a really big thing for us. So getting the users involved up front, the process experts, to help define the process is really important. But then, giving it back to them, at the end, and saying, hey, look, here's what we developed. Test it out and give us your feedback. Go through that iterative process, implementing any changes, and then rolling out to a wide user base really saved us a lot of time. And if we went with a big bang approach, we probably would have gone through a long time to implement. And then gotten a lot of feedback, at the end, which would have, basically, started the process all over again.

One thing that really helped us out was getting the loudest critics involved. So by taking people that tend to have a really strong opinion, you might want to stay away from those people, but really, it really will help you out in the long run. Because, once they start to see the power of PLM 360, they'll become your greatest ally. And there already making a lot of noise in the organization, and so they can help to be an evangelist for you.

So what we found was, once we implement PLM 360, we had departments that we didn't put in our first roadmap coming and asking us, when can they be on the road map? And asking us to move their priority forward. And of course, using the system. So throughout the implementation process, we used PLM 360 to manage the process.

We used project management to create Gantt charts and to map out our phases, but we use it to log issues. So if, during the user acceptance testing, as people were finding feedback they wanted to give us, they would log it the PLM, instead of sending us an email. That allows them to start using the tools, and seeing the workflow.

So they could submit an issue. We can evaluate it. Assign the corrective action, assign it to a person. And then when implementation was completed, notify them that it was complete. So they can start to see the advantage of having the visual workflow, and other tools at the PLM system provides. I don't know, Ian, if there's any other tips that you think are worth mentioning here.

IAN HADDON: Yeah. I'll just say a little bit more about that, using PLM. It was really good at Porex. Avi and the whole team working to use PLM to manage the implementation. The value of people getting into the system and using it before we even developed a single workspace for Porex was so good. That they got to see the button clicks. They got to use the workflow. That way, when we were working with the core team and saying, how do you want this to look? They already had experience in using PLM. They already understood some of the language. And it just made the discussions go much faster.

AVI ROBBINS: Thanks. So now we'll take a quick look under the hood. Any questions about the tips, Brian?

BRIAN SCHANEN: Yeah, actually. We have two questions. So the first one comes from the Twitter feed. Will you give access to other organizations? And in what context?

AVI ROBBINS: I assume that means external to Porex. So there is the functionality to add suppliers and customers to your PLM instance. We have those features available to us. And we've purchased licenses to make that available, but that's on the later part of the road map for us. We have a pretty large customer base, and we're trying to figure out what's the best way to manage their interaction with our PLM system.

It would be great to be able to put them into our workflow and let them approve drawings automatically, or approve the product specification. But we're going to manage that a little bit closely.

BRIAN SCHANEN: All right. So the next one comes from in the room, here. How did you handle training multiple PLM 360 users in different departments?

AVI ROBBINS: Yeah, so that's a great question. Actually, so we had, when we did our big kickoff, we had the Autodesk services team come out. Ian was there. Then we got all of the core team and process experts in the room and did a several day training on PLM. How to administer it.

So we are teaching people that aren't going to administer PLM, how to do the administration, so they could have ideas on, here's how I could define that process in PLM 360. So we got all the departments together. Showed them, functionally, how the system works. How you they can design the system. And then ask them to go back and think about, how do they want their process to be? We would then sit down at them, individually, and map out the process that we would define for them.

So now we'll take a look at a couple different use cases that we're using for PLM 360. I'll just show you a quick look at our visual management tool for the NPI process. Then I think we'll look at applications engineering. How are we employing a mobile strategy with our sales and engineering team to use PLM on-the-go? And how we're using it to push pipeline management reporting to the users. So if you want to look at certain pieces of information, how can you do it on your own without me having to create all these reports for you?

So let's take a quick jump over to the PLM. So this is just to a snapshot of our projects workspace. So if you seen PLM 360 before, this is the view of a workspace. Here I'm looking at the projects workspace. I can see the project number. What state is it in? What's the target launch date for some the projects? What territory is it in?

And what we created, here, was a visual management tool. So we have-- what does it say here?-- 498 projects. So actually, we have probably about 600 projects going on at any one time. And we need to be able to quickly identify where the projects are. And understand if anything needs higher attention.

And if you're an engineer that's managing 20 or 30 of these projects, you need to be able to pull up a list of your projects and know which one's knew the most attention. So we developed a visual tool, here, to login. And you can see, each color means a different thing.

So you can see it's capturing how many days since last transition. And we can start to notify the user, without sending them notifications through the email every day, this project needs your attention, because it's been in this state, it's been stuck there for this amount of time. So we're using things like that. A calculated field to easily say, this project has been stuck for too long and needs your attention.

Another thing we're using it for, like I mentioned, is using the PLM on-the-go. We're employing a mobile strategy. So we're using tablets to give it to our sales force, and to give to our engineering team, so they can use PLM wherever they are. One of the best things about having it in the cloud, we don't need to get into our firewall. We don't need to worry about that.

If we have Wi-Fi, which we can even access on the plane these days, you can use PLM wherever you are. So if our sales team is in front of a customer, they can look for a sample and show them, the customer, right there, what the sample will look like. And place an order back to the home office.

So maybe I'll come into the PLM, search for a product based on its dimension. And look for something that's, oh, I don't know, maybe between 1.7 inches and 1 inch in diameter. We'll run the search. And we'll get back a list. OK, look, two samples already exist that match my criteria. I'll look at the two of them.

One of them has 50, versus 10. It's actually a little bit closer to what I'm looking for. Click on that item. It'll bring the right to the items product page. And I can even look at the attachment and show my customer, while I'm with them, what does the CAD data look like? What does this part actually look like?

So it's a pretty powerful tool. I could then, if I wanted, attach this to a workflow. Create a sample order request. Then the team, back at the home office, will start to create these samples for the customer. They'll package them. Or maybe we need the same sample, but in a different material.

So they can use this tool with them on the road. Also I can login and check any of the-- as an engineer, I can come in, on the road, look at the different projects, and check the status of my projects from wherever I am. So it's a really powerful mobile tool. Not just something that you have to use in the office. And that's one of the really big benefits that we're getting out of PLM 360.

And one of the last things that we're using this for, well, not the last thing we're using it for. But one of the last things I want to show you is how easy it is to do the reporting. So we were thinking about how we were going to implement PLM 360, we have to think about the user base. How are they going to access the information?

A big part of that is through reporting, right? Extracting data about the products. Extracting data about the tools, about the samples, because we have different departments that are managing that information. If we create a bunch of tool orders in the system, we need the tooling department to be all to look at the tools, see how they are in their different phases.

We want the quality department to be able to look at, how many [? NCRs ?] are open? How many have been open for too long? How many were closed? Things like that. So it was really important to us that the tool was easy to allow the users to crate their own reports. So I'm going to break the biggest rule of live presenting, and put myself on a stop clock, and show you how easy it is to actually create a brand new report in PLM 360.

And I'm hoping that, with a good internet connection, if most of you will turn off your Wi-Fi, so I have all the bandwidth, then I will show you that I can do that in 60 seconds or less. We'll start the watch, here. I'm going to create a report on the projects workspace. So I want to look at how many new projects I have in each phase of development.

So I'll look at the new projects per phase. I'll come down, and I'm going to enable a grouping. I want to look at each project by the current state that it's in. So is it in feasibility? Is it in prototype? Is it on its way to production? So I'm going to take the current state of the project.

Then I'm going to aggregate on the count of the number of projects. Now I'm going to show a column chart, all right. So a bar chart. And all I have to do is give it a title, New Projects. And select current state for the x-axis. The number projects on the y-axis. And hit Save. So look, I did in 50 seconds.

And here's our new projects. The number of projects by phase. Click on the report. And it's that easy to see how many projects I have in each of the different phases of my report. So imagine, you can do that for open sample orders. So the person managing the technicians can see how many samples are stuck in the sample phase. And I don't have to go to each department, to each user, and create a complicated report for them. It's that easy to aggregate the data on your own.

Let's see, moving back into [INAUDIBLE]. So the last thing is what we talked about, implementation. So how do we use the tool? Well, we actually use it, like we mentioned, to manage the implementation process. So I'll just give you a little insight into what that looked like.

So here all the different workspaces we have. We have a whole space for implementation. And here's our project management section. So you can see the difference sprints we broke this into. And we can come down into Phase 1 and see the Project Management tab. And have a visual workflow of each of the difference sprints that we're going to do in this phase. And see which ones are on track or behind.

Now this is just our demo site. It doesn't have the real updated information, here. But you can see how powerful the tool can be to manage, not only your implementation, but manage your project management, as well. And each one of these workflow steps can be tied to another workspace, which can move your workflow through the steps, automatically.

And so those are, really, the tools that we used, some of the things we wanted to highlight from PLM 360. It's really a very flexible tool. And if you consider some of the things we talked about, you'll be more prepared to do the implementation. So that's really what we had to cover here today. I guess this is a good point to take any more questions from online or from the audience.

BRIAN SCHANEN: So we have one from in the room, here. And this is a good one. What about integration between Vault and PLM 360?

AVI ROBBINS: That's a very good question. So our next phase of implementation will be to the Vault. And maybe Ian can explain a little bit of how we're going to do that.

IAN HADDON: Yep. Is this on? Yeah. So one of the things I sort of mentioned earlier with the other integration, we wanted to leave it a little bit later in the project before we started doing the integrations. So that's why we didn't do the Vault integration just yet. We wanted to get some of the PLM stuff built so that we would know, what is it we need from Vault in PLM? And what does Vault need from PLM in order to make this integration work?

Now we're reaching the point where we've got that information there. So the next phase is going to be to do the Vault integration. There's two workspaces we're going to be integrating with. One is the product geometry. So at Porex, their engineers will receive the request for a new product. They will model that 3D geometry for that product in Inventor?

AVI ROBBINS: No, SolidWorks.

IAN HADDON: SolidWorks, save that in Vault. And then, the integration, when they release that geometry, will put a drawing and a 3D representation of that geometry into PLM against the product. We'll also be mapping some of the attributes from Vault to PLM, regarding the key dimensions on that geometry.

The other thing that we're going to be doing on the integration is their tooling designs. So once they got the geometry, and they decide they need to build a tool, an engineer will go into SolidWorks, design the tool. Once they release that tool, again, a 3D representation of the tool will be put into PLM along with some of the attributes that lets the engineers in PLM know that that tool has now been designed and released, and can continue through its workflow to go to the machine shop to start machining it. Or to financing, to approve the capital expenditure for that tool.

AVI ROBBINS: Yep. Good question. Any other ones, Brian?

BRIAN SCHANEN: No other questions. There was a kudos for showing the permissions diagram before, though.

AVI ROBBINS: Like I said, go on to the AU website, send me an email. I'll be glad to share any of those templates with you. If there's any questions from the room, we can take those either live, or after the fact. I'll stick around. And I'm really excited to hear about all the use cases you have, and be glad to share more about how we're implementing PLM 360. Thank you, guys, very much. I appreciate your time.

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오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Akamai mPulse를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Akamai mPulse 개인정보취급방침
Digital River
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Digital River를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Digital River 개인정보취급방침
Dynatrace
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Dynatrace를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Dynatrace 개인정보취급방침
Khoros
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Khoros를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Khoros 개인정보취급방침
Launch Darkly
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Launch Darkly를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Launch Darkly 개인정보취급방침
New Relic
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 New Relic를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. New Relic 개인정보취급방침
Salesforce Live Agent
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Salesforce Live Agent를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Salesforce Live Agent 개인정보취급방침
Wistia
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Wistia를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Wistia 개인정보취급방침
Tealium
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Tealium를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Upsellit
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Upsellit를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. CJ Affiliates
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 CJ Affiliates를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Commission Factory
Typepad Stats
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Typepad Stats를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Typepad Stats 개인정보취급방침
Geo Targetly
Autodesk는 Geo Targetly를 사용하여 웹 사이트 방문자를 가장 적합한 웹 페이지로 안내하거나 위치를 기반으로 맞춤형 콘텐츠를 제공합니다. Geo Targetly는 웹 사이트 방문자의 IP 주소를 사용하여 방문자 장치의 대략적인 위치를 파악합니다. 이렇게 하면 방문자가 (대부분의 경우) 현지 언어로 된 콘텐츠를 볼 수 있습니다.Geo Targetly 개인정보취급방침
SpeedCurve
Autodesk에서는 SpeedCurve를 사용하여 웹 페이지 로드 시간과 이미지, 스크립트, 텍스트 등의 후속 요소 응답성을 측정하여 웹 사이트 환경의 성능을 모니터링하고 측정합니다. SpeedCurve 개인정보취급방침
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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사용자 경험 향상 – 사용자와 관련된 항목을 표시할 수 있게 해 줌

Google Optimize
오토데스크는 사이트의 새 기능을 테스트하고 이러한 기능의 고객 경험을 사용자화하기 위해 Google Optimize을 이용합니다. 이를 위해, 고객이 사이트를 방문해 있는 동안 행동 데이터를 수집합니다. 이 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID, 오토데스크 ID 등이 포함될 수 있습니다. 고객은 기능 테스트를 바탕으로 여러 버전의 오토데스크 사이트를 경험하거나 방문자 특성을 바탕으로 개인화된 컨텐츠를 보게 될 수 있습니다. Google Optimize 개인정보취급방침
ClickTale
오토데스크는 고객이 사이트에서 겪을 수 있는 어려움을 더 잘 파악하기 위해 ClickTale을 이용합니다. 페이지의 모든 요소를 포함해 고객이 오토데스크 사이트와 상호 작용하는 방식을 이해하기 위해 세션 녹화를 사용합니다. 개인적으로 식별 가능한 정보는 가려지며 수집되지 않습니다. ClickTale 개인정보취급방침
OneSignal
오토데스크는 OneSignal가 지원하는 사이트에 디지털 광고를 배포하기 위해 OneSignal를 이용합니다. 광고는 OneSignal 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 OneSignal에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 OneSignal에 제공하는 데이터를 사용합니다. OneSignal 개인정보취급방침
Optimizely
오토데스크는 사이트의 새 기능을 테스트하고 이러한 기능의 고객 경험을 사용자화하기 위해 Optimizely을 이용합니다. 이를 위해, 고객이 사이트를 방문해 있는 동안 행동 데이터를 수집합니다. 이 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID, 오토데스크 ID 등이 포함될 수 있습니다. 고객은 기능 테스트를 바탕으로 여러 버전의 오토데스크 사이트를 경험하거나 방문자 특성을 바탕으로 개인화된 컨텐츠를 보게 될 수 있습니다. Optimizely 개인정보취급방침
Amplitude
오토데스크는 사이트의 새 기능을 테스트하고 이러한 기능의 고객 경험을 사용자화하기 위해 Amplitude을 이용합니다. 이를 위해, 고객이 사이트를 방문해 있는 동안 행동 데이터를 수집합니다. 이 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID, 오토데스크 ID 등이 포함될 수 있습니다. 고객은 기능 테스트를 바탕으로 여러 버전의 오토데스크 사이트를 경험하거나 방문자 특성을 바탕으로 개인화된 컨텐츠를 보게 될 수 있습니다. Amplitude 개인정보취급방침
Snowplow
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Snowplow를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Snowplow 개인정보취급방침
UserVoice
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 UserVoice를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. UserVoice 개인정보취급방침
Clearbit
Clearbit를 사용하면 실시간 데이터 보강 기능을 통해 고객에게 개인화되고 관련 있는 환경을 제공할 수 있습니다. Autodesk가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. Clearbit 개인정보취급방침
YouTube
YouTube는 사용자가 웹 사이트에 포함된 비디오를 보고 공유할 수 있도록 해주는 비디오 공유 플랫폼입니다. YouTube는 비디오 성능에 대한 시청 지표를 제공합니다. YouTube 개인정보보호 정책

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광고 수신 설정 – 사용자에게 타겟팅된 광고를 제공할 수 있게 해 줌

Adobe Analytics
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Adobe Analytics를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID 및 오토데스크 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. Adobe Analytics 개인정보취급방침
Google Analytics (Web Analytics)
오토데스크 사이트에서 고객의 행동에 관한 데이터를 수집하기 위해 Google Analytics (Web Analytics)를 이용합니다. 여기에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 오토데스크는 사이트 성과를 측정하고 고객의 온라인 경험의 편리함을 평가하여 기능을 개선하기 위해 이러한 데이터를 이용합니다. 또한, 이메일, 고객 지원 및 판매와 관련된 고객 경험을 최적화하기 위해 고급 분석 방법도 사용하고 있습니다. AdWords
Marketo
오토데스크는 고객에게 더욱 시의적절하며 관련 있는 이메일 컨텐츠를 제공하기 위해 Marketo를 이용합니다. 이를 위해, 고객의 온라인 행동 및 오토데스크에서 전송하는 이메일과의 상호 작용에 관한 데이터를 수집합니다. 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID, 이메일 확인율, 클릭한 링크 등이 포함될 수 있습니다. 오토데스크는 이 데이터를 다른 소스에서 수집된 데이터와 결합하여 고객의 판매 또는 고객 서비스 경험을 개선하며, 고급 분석 처리에 기초하여 보다 관련 있는 컨텐츠를 제공합니다. Marketo 개인정보취급방침
Doubleclick
오토데스크는 Doubleclick가 지원하는 사이트에 디지털 광고를 배포하기 위해 Doubleclick를 이용합니다. 광고는 Doubleclick 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Doubleclick에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Doubleclick에 제공하는 데이터를 사용합니다. Doubleclick 개인정보취급방침
HubSpot
오토데스크는 고객에게 더욱 시의적절하며 관련 있는 이메일 컨텐츠를 제공하기 위해 HubSpot을 이용합니다. 이를 위해, 고객의 온라인 행동 및 오토데스크에서 전송하는 이메일과의 상호 작용에 관한 데이터를 수집합니다. 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID, 이메일 확인율, 클릭한 링크 등이 포함될 수 있습니다. HubSpot 개인정보취급방침
Twitter
오토데스크는 Twitter가 지원하는 사이트에 디지털 광고를 배포하기 위해 Twitter를 이용합니다. 광고는 Twitter 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Twitter에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Twitter에 제공하는 데이터를 사용합니다. Twitter 개인정보취급방침
Facebook
오토데스크는 Facebook가 지원하는 사이트에 디지털 광고를 배포하기 위해 Facebook를 이용합니다. 광고는 Facebook 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Facebook에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Facebook에 제공하는 데이터를 사용합니다. Facebook 개인정보취급방침
LinkedIn
오토데스크는 LinkedIn가 지원하는 사이트에 디지털 광고를 배포하기 위해 LinkedIn를 이용합니다. 광고는 LinkedIn 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 LinkedIn에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 LinkedIn에 제공하는 데이터를 사용합니다. LinkedIn 개인정보취급방침
Yahoo! Japan
오토데스크는 Yahoo! Japan가 지원하는 사이트에 디지털 광고를 배포하기 위해 Yahoo! Japan를 이용합니다. 광고는 Yahoo! Japan 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Yahoo! Japan에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Yahoo! Japan에 제공하는 데이터를 사용합니다. Yahoo! Japan 개인정보취급방침
Naver
오토데스크는 Naver가 지원하는 사이트에 디지털 광고를 배포하기 위해 Naver를 이용합니다. 광고는 Naver 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Naver에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Naver에 제공하는 데이터를 사용합니다. Naver 개인정보취급방침
Quantcast
오토데스크는 Quantcast가 지원하는 사이트에 디지털 광고를 배포하기 위해 Quantcast를 이용합니다. 광고는 Quantcast 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Quantcast에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Quantcast에 제공하는 데이터를 사용합니다. Quantcast 개인정보취급방침
Call Tracking
오토데스크는 캠페인을 위해 사용자화된 전화번호를 제공하기 위하여 Call Tracking을 이용합니다. 그렇게 하면 고객이 오토데스크 담당자에게 더욱 빠르게 액세스할 수 있으며, 오토데스크의 성과를 더욱 정확하게 평가하는 데 도움이 됩니다. 제공된 전화번호를 기준으로 사이트에서 고객 행동에 관한 데이터를 수집할 수도 있습니다. Call Tracking 개인정보취급방침
Wunderkind
오토데스크는 Wunderkind가 지원하는 사이트에 디지털 광고를 배포하기 위해 Wunderkind를 이용합니다. 광고는 Wunderkind 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Wunderkind에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Wunderkind에 제공하는 데이터를 사용합니다. Wunderkind 개인정보취급방침
ADC Media
오토데스크는 ADC Media가 지원하는 사이트에 디지털 광고를 배포하기 위해 ADC Media를 이용합니다. 광고는 ADC Media 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 ADC Media에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 ADC Media에 제공하는 데이터를 사용합니다. ADC Media 개인정보취급방침
AgrantSEM
오토데스크는 AgrantSEM가 지원하는 사이트에 디지털 광고를 배포하기 위해 AgrantSEM를 이용합니다. 광고는 AgrantSEM 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 AgrantSEM에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 AgrantSEM에 제공하는 데이터를 사용합니다. AgrantSEM 개인정보취급방침
Bidtellect
오토데스크는 Bidtellect가 지원하는 사이트에 디지털 광고를 배포하기 위해 Bidtellect를 이용합니다. 광고는 Bidtellect 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Bidtellect에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Bidtellect에 제공하는 데이터를 사용합니다. Bidtellect 개인정보취급방침
Bing
오토데스크는 Bing가 지원하는 사이트에 디지털 광고를 배포하기 위해 Bing를 이용합니다. 광고는 Bing 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Bing에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Bing에 제공하는 데이터를 사용합니다. Bing 개인정보취급방침
G2Crowd
오토데스크는 G2Crowd가 지원하는 사이트에 디지털 광고를 배포하기 위해 G2Crowd를 이용합니다. 광고는 G2Crowd 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 G2Crowd에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 G2Crowd에 제공하는 데이터를 사용합니다. G2Crowd 개인정보취급방침
NMPI Display
오토데스크는 NMPI Display가 지원하는 사이트에 디지털 광고를 배포하기 위해 NMPI Display를 이용합니다. 광고는 NMPI Display 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 NMPI Display에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 NMPI Display에 제공하는 데이터를 사용합니다. NMPI Display 개인정보취급방침
VK
오토데스크는 VK가 지원하는 사이트에 디지털 광고를 배포하기 위해 VK를 이용합니다. 광고는 VK 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 VK에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 VK에 제공하는 데이터를 사용합니다. VK 개인정보취급방침
Adobe Target
오토데스크는 사이트의 새 기능을 테스트하고 이러한 기능의 고객 경험을 사용자화하기 위해 Adobe Target을 이용합니다. 이를 위해, 고객이 사이트를 방문해 있는 동안 행동 데이터를 수집합니다. 이 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역, IP 주소 또는 장치 ID, 오토데스크 ID 등이 포함될 수 있습니다. 고객은 기능 테스트를 바탕으로 여러 버전의 오토데스크 사이트를 경험하거나 방문자 특성을 바탕으로 개인화된 컨텐츠를 보게 될 수 있습니다. Adobe Target 개인정보취급방침
Google Analytics (Advertising)
오토데스크는 Google Analytics (Advertising)가 지원하는 사이트에 디지털 광고를 배포하기 위해 Google Analytics (Advertising)를 이용합니다. 광고는 Google Analytics (Advertising) 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Google Analytics (Advertising)에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Google Analytics (Advertising)에 제공하는 데이터를 사용합니다. Google Analytics (Advertising) 개인정보취급방침
Trendkite
오토데스크는 Trendkite가 지원하는 사이트에 디지털 광고를 배포하기 위해 Trendkite를 이용합니다. 광고는 Trendkite 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Trendkite에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Trendkite에 제공하는 데이터를 사용합니다. Trendkite 개인정보취급방침
Hotjar
오토데스크는 Hotjar가 지원하는 사이트에 디지털 광고를 배포하기 위해 Hotjar를 이용합니다. 광고는 Hotjar 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Hotjar에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Hotjar에 제공하는 데이터를 사용합니다. Hotjar 개인정보취급방침
6 Sense
오토데스크는 6 Sense가 지원하는 사이트에 디지털 광고를 배포하기 위해 6 Sense를 이용합니다. 광고는 6 Sense 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 6 Sense에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 6 Sense에 제공하는 데이터를 사용합니다. 6 Sense 개인정보취급방침
Terminus
오토데스크는 Terminus가 지원하는 사이트에 디지털 광고를 배포하기 위해 Terminus를 이용합니다. 광고는 Terminus 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 Terminus에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 Terminus에 제공하는 데이터를 사용합니다. Terminus 개인정보취급방침
StackAdapt
오토데스크는 StackAdapt가 지원하는 사이트에 디지털 광고를 배포하기 위해 StackAdapt를 이용합니다. 광고는 StackAdapt 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 StackAdapt에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 StackAdapt에 제공하는 데이터를 사용합니다. StackAdapt 개인정보취급방침
The Trade Desk
오토데스크는 The Trade Desk가 지원하는 사이트에 디지털 광고를 배포하기 위해 The Trade Desk를 이용합니다. 광고는 The Trade Desk 데이터와 고객이 사이트를 방문하는 동안 오토데스크가 수집하는 행동 데이터 모두에 기초하여 제공됩니다. 오토데스크가 수집하는 데이터에는 고객이 방문한 페이지, 시작한 체험판, 재생한 동영상, 구매 내역 및 IP 주소 또는 장치 ID가 포함될 수 있습니다. 이 정보는 The Trade Desk에서 고객으로부터 수집한 데이터와 결합될 수 있습니다. 오토데스크는 디지털 광고 경험에 대한 사용자화를 개선하고 고객에게 더욱 관련 있는 광고를 제시하기 위해 The Trade Desk에 제공하는 데이터를 사용합니다. The Trade Desk 개인정보취급방침
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

정말 더 적은 온라인 경험을 원하십니까?

오토데스크는 고객 여러분에게 좋은 경험을 드리고 싶습니다. 이전 화면의 범주에 대해 "예"를 선택하셨다면 오토데스크는 고객을 위해 고객 경험을 사용자화하고 향상된 응용프로그램을 제작하기 위해 귀하의 데이터를 수집하고 사용합니다. 언제든지 개인정보 처리방침을 방문해 설정을 변경할 수 있습니다.

고객의 경험. 고객의 선택.

오토데스크는 고객의 개인 정보 보호를 중요시합니다. 오토데스크에서 수집하는 정보는 오토데스크 제품 사용 방법, 고객이 관심을 가질 만한 정보, 오토데스크에서 더욱 뜻깊은 경험을 제공하기 위한 개선 사항을 이해하는 데 도움이 됩니다.

오토데스크에서 고객님께 적합한 경험을 제공해 드리기 위해 고객님의 데이터를 수집하고 사용하도록 허용하시겠습니까?

선택할 수 있는 옵션을 자세히 알아보려면 이 사이트의 개인 정보 설정을 관리해 사용자화된 경험으로 어떤 이점을 얻을 수 있는지 살펴보거나 오토데스크 개인정보 처리방침 정책을 확인해 보십시오.