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Use Your BOM Like a Crystal Ball

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설명

Dragon Innovation wrote the book on manufacturing at entrepreneur speed. In this class, we'll discuss how hardware teams can see into their manufacturing future with a well structured Bill Of Materials, avoiding costly mistakes as they move from prototype to production.

주요 학습

  • Understand the importance of a well structured Bill of Materials as you transition from design to manufacturing
  • Understand the type of manufacturing insights you can get when you have the right data
  • Increase practical knowledge of the pitfalls going from prototype to production
  • Discover how Dragon has satisfied an unserved market need and incorporated Forge Platform APIs

발표자

  • Thos Niles
    Thos Niles has worked on early stage businesses going back to the dawn of the commercial web. His roles have centered around product management, customer experience, general management, and doing whatever needs to get done at Fairmarket (acquired by eBay), FirstGiving, Credit Karma, Gazelle, TurningArt, and Dragon Innovation. Niles is a frequent mentor and speaker at Techstars, MassChallenge, Brandeis University, and Massachusetts Institute of Technology.
  • Scott Miller
    Scott has been fascinated with hardware since he was old enough to hold a screwdriver. He worked on a robotic tuna fish at MIT, life size robotic dinosaurs for Disney Imagineering, and robotic baby dolls at Hasbro. At iRobot he led the Roomba team to scale from prototype to production of the first 3 million units. Since founding Dragon Innovation in 2009, Scott and his team have helped some of the top names in hardware launch and scale their manufacturing, while developing a proven process for going at "Entrepreneur Speed." The vision is as big as it is simple: to make something as complex as manufacturing feel easy. In mid-2016, Dragon will unveil software tools built off of this expertise and experience that will further simplify the manufacturing journey. Through Forge, the software development is accelerated while Autodesk’s platform is leveraged to gain powerful functionality.
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Transcript

THOS NILES: They're shutting the doors, which I think means we're supposed to start. But I'm going to start slow and give people a chance to roll in. We were hanging out with some people last night who are much better presenters and speakers than I am, and they were giving lots of good tips. And I was told that you're supposed to start with some type of quiz. Oh, here's one of them now. So I was just saying that I was hanging out last night with much more accomplished speakers than I, and the tip I got was that you're supposed to serve with a quiz.

So I was wondering, when's the last time any of you went outside of this building? Yesterday? Like, anybody been in this building for more than 24 hours? How about more than 36 hours, without going outside? This is without-- no fresh air, 36 hours, yes, from now. OK. So we get you two.

SCOTT MILLER: Yeah, since I got here.

THOS NILES: So what's the most? Who thinks they've been here the longest? Probably you, I'm guessing you.

AUDIENCE: Step out of the competition.

THOS NILES: How about you? Vic you've been here since, what'd you say? Sunday night.

AUDIENCE: Yeah, since Sunday night. But I did get some fresh air.

THOS NILES: You did go outside. I went outside, it's been more than 24 hours. Probably 40 hours ago, on general principle I went across the street to get a bottle of water just to say I left the building. But cool, I'm glad we've all been in here breathing each other's spent air for days and days. And I really appreciate you guys coming out at 8:30 in the morning on day whatever this is of a long conference to talk about something as exciting as bills of materials.

When we were putting this together, I was talking to some folks at Autodesk. And I said, I really want to talk about BOMs. And the response was, no, no, no, no nobody's going to go, don't do it, don't do it. But here we are. And I think what turned it around in that conversation was, I said, I don't want to talk about BOMs, I want to talk about what you can do with a BOM, and what becomes possible. So if I knew how to use this thing, down is forward, cool.

So before we dive in, I see a couple of familiar faces in here. Making sure folks know about this awesome start up track that this is a part of. We are officially halfway through, and you got a couple more left after me that you should definitely check out if you have time in your schedule. So Dr. Casey Kerrigan is going to talk this afternoon about these amazing shoes that she's been making, truly inspirational story, and completely awesome.

And then Eric Klein is going to be batting cleanup-- oh no, it's the same time it's head to head. So you have to make a choice. You must choose wisely. You must choose, and you must choose wisely. And it would be awesome if they were right next to each other so people could go back and forth, but I bet they're not. But definitely check those out if you have time.

This is pulled straight from the catalog that you all signed up for. So what are we trying to do today? We're going to learn a little bit about bills of materials, think about how they apply to going into manufacturing, and get a better understanding of the insights you can pull out of a well structured BOM. And then I'll flip out of this PowerPoint and give you a demo with some tools that we've been building that we think help address this.

So who the heck are we? Just real quick before we jump in too deeply, I'm Thos Niles, COO at Dragon Innovation. And I've brought along Scott, who has much better star power than I do, to talk about some of the more technical parts of this stuff. And Scott, why don't you say a couple words?

SCOTT MILLER: Cool. So I'm Scott Miller, the CEO of Dragon Innovation, and also a partner at a a small BC fund. And I got my start at iRobot, where I was leading the team that built the first about 4 million Roombas back in the early 2000s. So I got to live this through the perspective of a hardware startup back in the dark ages, and sort of experience firsthand what it's like going through the journey when you don't really have a good sharp set of tools, and how challenging that can be.

So we've tried to, at Dragon, take those warnings and insights, and then be able to help a bunch of companies navigate the waters, but also start writing product and web apps around that to make it more scalable.

THOS NILES: Cool. So just by way of agenda, we're going to talk about Dragon a little bit more, and some manufacturing overviews. We'll talk about why bills of materials are important, and then we'll tell you some horror stories about-- well, actually this is a little more uplifting. One of our friends did a talk earlier this week where he talked about lots of bad things that could happen. He called it, was it good questions and bad answers. And ours is going to be more a little more good answers and situations you don't want to be in.

So what are we trying to do at Dragon? The vision is as big as it is simple. We want to make something as insanely complex as manufacturing electronics feel easy. And like any good vision or mission statement, it's sort of carefully semantically crafted where we're not going to make it easy, we're going to make it feel easy. Because it definitely will not be easy.

As Scott said, we've been doing this for a while. We've got kind of a range of ways we help from product like Product Planner that will we'll show you a little bit later on to much deeper engagements, feet on the ground in the Far East, helping folks move from prototype to production. So moving from I've got one and it works mostly, and it works pretty well, now I want tens of thousands, hundreds of thousands, millions of this product to work consistently and perfectly all the time. How do you bridge that gap?

We've been we've been really lucky to work with some great companies over the years, and have honed this we call approvement process that helps us move at entrepreneur speed. So whether you're a first time hardware entrepreneur or a established company that wants to move quickly, we know the right way to get things done. But we also know when that's not the right thing to do. So we can safely skip certain steps.

And as Scott mentioned, we've been doing this increasingly leveraging technology. I got to keep myself in check because I get fired up about it, but I get really worked up about the difference between online and offline. I think that that's kind of an antiquated notion. And it made sense in 1999 when there were these computers, and you did things in there, and then there were things that happened in real life. And there was a real church and state divide between the two.

But I feel like I spent the first 12 years of my career trying to make lifelike experiences in a browser, and now I get to make browser-like experiences in real life. And that's the coolest thing in the world. It's completely seamlessly integrated.

So we're really excited about the opportunity to take the stuff we've done in the physical world-- because when you're manufacturing you're making things-- and seamlessly joining it up with browser based experiences to make things work the way we all want them to.

A little bit more about us. As Scott mentioned, we are, we think, a pretty unique combination of highly experienced engineers. Folks who have made tons and tons of products. And then we've combine that with more of a startup DNA. My background is more in internet marketplaces, going back through the high-flying internet '90s. And joining these two things together, we think, is the most exciting thing I've ever done, frankly.

I mentioned we've had the opportunity to work with some folks. And the thing I want to-- I sort of give it away. I'll point out, there's some names on there that hopefully surprise you a little bit. It's not just the Kickstarter driven consumer gadgets, there's some bigger companies on there, too.

And we see this trend happening where increasingly it's not about early stage companies, it's about early stage products. Every product has a day zero, and a day one. And regardless of the size of the organization, what we've discovered is there are some entrenched, kind of sloppy, or bad, or homegrown processes that are totally ripe for improvement. You should feel free to jump in any time, by the way.

SCOTT MILLER: Doing great.

THOS NILES: So let's start by going a little bit about why manufacturing's so hard. This is yours, you should do this one.

SCOTT MILLER: Sure. So with any complex task, we try to break it down into basic principles. And we've found that using this as kind of a North Star in how to think about manufacturing has been really helpful. So you've got quality, cost, and schedule. And we're in the consumer electronic field, and often people joke like you get to pick two out of three of them. But actually if you want to succeed you got to get all three right.

So you can imagine that typically for our selling cycle or our customers, the holiday season is a really big revenue driver. In fact, it's exponential. And if you're late, you're going to throw away that revenue and have to survive another year where you're probably going to be burning, and you're open to competitors coming in and beating you.

So schedule's insanely important. But on top of that you've got quality constraints So that you probably don't have enough time to test everything and have to be able to put in some quality systems so you get early confidence whether you're good to ship or not. So that's at odds with schedule, and then of course there's costs that as a business you probably want to sell a product for more than it costs to make it. But if you could buy better motors or better processors, you could go faster and have better quality. So that's sort of balanced with the other two.

So the art is, how do you get all three of them lined up so they can grow a successful business? And we find by breaking down any product into these three basic principles and then managing each one of those things is a good way to make sure that you succeed.

THOS NILES: And something we've seen over the years is not of ill intent, but there's often this sort of, we'll figure some of this stuff out later. People just assume that it will work out, or I'm going to make this thing cost efficiently and quickly, and I'll worry about quality after they start coming out the line. I'll evaluate my quality. So all of this stuff needs to be considered and managed from the beginning if you want to have the outcome that you expect.

So one of the things that we see a lot is this fallacy about how long things are going to take in manufacturing. And Scott came up with this great metaphor of the letters of the alphabet as a timeline. So we see a lot of teams that are optimistic, and they work really hard. They come up with an idea and they labor through the design process. They get to a prototype, and they labor through it, and then maybe they launch it on a crowdfunding platform. And then we're going to make a bunch of them fulfill the minutes, sort of the end.

But getting something manufactured in China is not like sending something out to Kinko's to get copied. You don't just say, hey, China, make 10,000 of these, I'll be back at five to pick them up. So we found that the more realistic timeline is probably something more like this. By the time you get done with climbing the mountain of coming up with a great idea, and building a compelling prototype, and marketing it effectively, and getting some potential early adopters, you still have the bulk of the alphabet in front of you to make a quality product.

So here's another way of looking at it. This is a funny slide. The challenge was make the craziest looking slide you can to underscore how complex this is. So I'll just tip my hand and give it away. This is a nutty looking slide. And the idea here, though, is that everybody wants to manufacture like Apple. But guess what? Nobody but Apple is Apple.

And if you are Apple, you have the next iPhone, and you're going to make 10 million of them. And you can do this with mature processes, mature relationships, mature systems. So you can easily just say, OK, we've got our captive factories, our existing relationships, and we're going to optimize for a high quality, cost effective product.

But if you're anybody else, you start all the way over on the left. My left. You start all the way over on the other side. And even if you want to make 10,000 of something, you don't start at 10,000. You start at one, and then you make 10, and then you make 100, and then you make 1,000. And you work your way over. And every single one of those phases has different tools, different processes, different challenges, and most importantly, different economics. So you have to relearn and renavigate as you move your way across.

But the one thing that all of these things have foundationally in common is bill of materials. It's a tool in your bag that if you start early you can carry through this entire process. And again, this is not a startup problem, this is an early stage product problem. So it transcends organization size.

This is another expression of that alphabet diagram, where as you think about the development process from the entrepreneur's point of view, they think a lot about coming up with an idea, design engineering, and then after that you go and find a factory. And then once you've found a factory, you go through a process with them to make sure that your design is manufacturable, and then you start production.

And that makes linear sense. But as we said, if you want to create and ensure the outcomes of a quality product that's on time on that schedule, you actually need to run a parallel process. And these manufacturing activities start before your product's done being built. I forget who it was, somebody who was in our office, but talking to us. And I love this guy, said, people talk about DFM, and it makes me laugh. Because why else are you designing the thing? Nobody talks about designed for fun, or design for kicks, it's design for manufacturing. And as such, you need to start thinking about it early in the process.

Planning phase is when you need to understand, is this thing buildable? Am I going to have enough money to build this thing? What kind of factories am I going to want to start shopping this thing to? What's the MSA, the manufacturing services agreement? How does that need to be structured? And making sure that quality is built in from day one.

You get into pre-production, and there's even more DFM. You think about your tooling, think about parts sourcing. All this test equipment, so many activities that you need to start thinking about as you begin to go into production. And then finally, once it's going, you're not done, you're just starting a new and complex process where you need to think about shipments, you need to keep an eye on costs, you've got all these moving parts. Quality is job one, you're evaluating what the failure modes are, and warranty returns are coming in. You're thinking about, is my factory doing what they said they're going to do? It's incredibly complex.

And this is part of what makes-- now we're finally going to talk about BOMs. So this is what makes BOMs so critical. It's really the Rosetta Stone through this process where it's going to help you collaborate with your team, it's going to help you collaborate with third parties. You're going to communicate what the recipe for your product is.

But most importantly, it's this source of insight. If you've got a well structured BOM, you're going to be able to understand early, you're going to be able to see into the future and understand your cogs, you're going to be able to understand your schedule. You're going to have the opportunity to call out the parts that are going to be quality issues potentially and focus on them. And most importantly for most startups and early stage products, you're going to be able to think about your cash flow. Because at the end of the day, if you don't have enough money to build this thing, you might as well pack up and go home now.

So it's funny, I was talking to our friend Vic earlier, and he was saying how people often don't even know what a BOM is.

AUDIENCE: You gotta be really careful with the TSA.

THOS NILES: Something I got to say earlier this year, I had the opportunity to go to the White House, and I got to say BOM in the White House, which is not something that many people get to do.

AUDIENCE: And you're still here.

THOS NILES: And I'm still here, exactly. But it's funny, a thing I do when I'm illustrating this to people, sometimes I will say, if I say the word resume, everybody in this room is thinking about same document, right? It's got a name and address at the top, it's got a little summary statement, chronological work history, something about how you like sunsets and kung fu at the bottom, and that's that. That's what a resume is. But if I say BOM, if we were to go through an exercise and try to match up everybody's idea of what a BOM was, I guarantee you of the 15, 20 people in this room, we'd probably get 30 answers.

But if you boil it down to what it is, like Wikipedia style, it's a detailed, precise list of ingredients required to build a product, which you could say is a parts list, not a BOM. It's often organized hierarchically in the subassemblies. So OK, now it's more than just a parts list. It starts to suggest architecture. And it includes all the pieces. Not just the pieces to build one product, but the pieces to build the entire product. I don't know the order of my own slides, but oh well.

So what do you include? There's a ton of stuff you can include. I don't know if you have a comment on this guy.

SCOTT MILLER: Oh, sure. I mean, as we can get at, it's a fairly complex document if you want to be accurate. And if you want to think of it in terms of a traditional spreadsheet, you can imagine you get a lot of columns that you have to keep track of. Because as you're building really high volume, maybe you're building 40,000 units a week, you can imagine that getting any one of these things wrong is going to be catastrophic. So you want to keep track of every nuance of every component and make sure that it's always up to date, but that's a lot of data to keep track of. And here's just a few things that might be on it. But you could put a lot more, too.

THOS NILES: So probably about a year ago we put a thing together to help with folks who said that, you know, I don't know where to start. We built this thing we call the Dragon standard BOM. And the idea back then was, if we could just we could take care of this resume problem a little bit, if we can start to put some standardization around where people start, it will be a big help.

We were talking to a lot of customers and asking them how they manage their bill of materials, and overwhelmingly it was spreadsheets. And then within spreadsheets, it was a lot of Google Sheets. So we said, oh, we could build an add-on. And I had never built an add-on in the Google store. I never even used an add-on, but they're actually really cool. So anybody who's using the Docs family, or the Google Apps family, I would suggest you check out add-ons, because there are hidden gems in there. It's got top level navigation real estate in Sheets, but you never really think about it, or I had never really thought about it.

So the idea is that you can build these apps that extend the functionality. So what we did was we built this thing that's kind of like a template on steroids. You can spin the thing up, it gives you sort of a predefined format with headers that, based on our experience working with tons of CMs, tons of startups, tons of bigger companies, this is sort of a universal leveling place to start. And we built a couple nifty things in there. So some like data validation, you can check for duplicate part numbers. A way to take the taps that we broke out the different material types or part types into and squish them into a flat BOM, and a couple of just little charts. So you can take a look where are most of your costs coming from, what types of parts do you have the most of. Just quick and easy stuff.

And the reception's been pretty good. It's something that surprised me, we had this little FAQ thing in the bottom of the glossary, and people love the glossary. They're like, oh, I never understood what all these things really meant. I'm going on a tangent, and [? Sashleen ?] knows I'll do that.

But one of the things that's really blown me away in this journey of working on these tools is there's like this almost imposter syndrome that's pervasive about people's BOMs, that you ask, this was going to be my quiz at the beginning before I decided to ask who had left the building. But if I was to say, rate the quality of your BOM. And we did this as a real survey. We said that rate the quality of your BOM, and we went from it's a work of art, to it's good, to it's adequate, to it's not pretty.

And based on the folks we surveyed, I think one person said it was a work of art, because you've got one in every crowd. And the next highest response was adequate. And next after that it was think about 20% said good, and everybody else said it's not pretty. And then we did some follow-up with people who had said it was good and they folded like a cheap suit. They were like, oh no, it's crap, I just was embarrassed to say anything.

So even when people have a decent BOM, they're insecure and they think that their BOM is crap. And in some respect, odds are they're right. Because there's something, if you take a harsh definition of crap, for a system or a tool that's supposed to bring clarity, there's confusion. So inherently it's suboptimal.

So anyway, this thing's out there. It's free, it's in the Google Store. And if you know or anyone you encounter is starting from absolutely nothing, this is a great place to start. It's going to be better than any format they make up, and it's going to be more commonly understood.

AUDIENCE: And that comes in right after your prototyping stage, or at the very beginning?

THOS NILES: Sir?

SCOTT MILLER: Well I think the sooner you start with good BOM hygiene the easier it is later, because what happens is you'll start working on a prototype, and eventually, maybe sooner than later, you'll start to get traction, and things will take off. And you'll have a lot of competing things vying for your time. And if you just start with a good foundation, it's a lot easier to build a house on top of that rather than get data all over the place and then realize you have to go back and backfill it, and oh, did I do this, did I do that?

So whenever you start like ordering materials, or have CAD files and things like that, and start thinking about, oh, maybe I will build more than one of these, then it makes sense. For example, we just, as simple as it is, built a treehouse. And I wanted to keep track, how much did it cost me to build? So just in the Dragon standard BOM I had on my two by fours, and my bolts, and everything. And it was kind of fun so that if I ever want to share it with somebody else, or go back and build it again, I can be like, oh, there it is. Whereas if I had to create that retroactively, I'd never do it. And it's so easy. It's pretty painless if you do it while you go on.

THOS NILES: Yeah. I mean, I'll pile on that and say that many teams just starting out, they'll look at some of these formats and say, I don't know how to answer any of these questions, I don't know how to fill this data, and that's fine, that's great. Because it's not about having the answers, it's about knowing the questions. And if you have a single source of truth where you might look at it and say, wow, only 5% of these fields are filled in, well great, you got 95% of your work ahead of you. It gives you a way to quantify what you need to know.

So we always say, it's good to have an opinion about this stuff. You got to have an opinion. And as I mentioned before, your bill of materials isn't just about the parts to make your one product. So we came up with this metaphor to help explain this to people, and we used hamburgers because we love burgers. And if your product is like a burger, you can think about what is going into that burger. How is it made up? So we'll think of the burger as a product item.

This is one thing. It's like your clicker, or your laptop. It's a burger. And that burger's made up of assemblies. It's got a top assembly, which is a fabricated part. It's your top bun, you put that thing together. You got purchase parts, you bought some tomatoes and some lettuce. And then you get the meats. For us we say it's PCBA, and it's made up of some things smushed together. It's PCB, and you've got maybe some chopped up onions and spices in there to make your burger tasty, which would be like your electrical parts, and then the bottom assembly, it's another bun.

But I'm going to mix my two metaphors, this is like your product with a lowercase p. It's the thing you designed, it's a thing, but it's not what people are going to buy. You don't walk into a burger restaurant and somebody hands you a greasy burger over the counter that you just walk away with and eat, you got to turn the thing into a SKU. Because a SKU is what's going to come off the loading dock at your factory.

So in this metaphor you've got your product item that we just talked about, But then you've got packaging. You've got your box and your wrapper. You've got some accessories to make people want to buy this burger even more. So you've got some fries, and even the fries have their own packaging. And then you've got your SKU, it's your non-branded cheerful meal.

So this is where I'm going to let you talk a bunch more. But what we're going to go into is some key concepts that lay a little bit more of a foundation for the exciting insights that you can get out of your BOM. But this is where it gets dangerous.

SCOTT MILLER: Sure. Yeah, you can click away. So one of the things as you start building in higher volume-- so going from one to many-- you'll bump into is the idea of a minimum order quantity. And what happens is, if anybody's seen an SMT line, it'll sound familiar. But often you'll buy, say, your capacitors in reels of 5,000 units. But it gets tricky if you're only building 4,000 units, because how do you account for that extra 1,000?

And the analogy I would make is, suppose you want to drink five Goslings, or beers. It's probably cheaper to buy a six pack just because of the volume stepped pricing, but you are going to have that one beer or soda left over, and that's something that you got to pay for and account for. But it doesn't necessarily sit in any product that you've built. So that's one of the complexities or nonlinearities that we start to see in bills of material.

And the second one is lead time. So again, when you're building onesies, twosies, you'll probably order from DigiKey or Mouser or Newark, and you get whatever parts you want the next day, and that's awesome. But when you build in volume, you're probably looking at lead times of 12 weeks for a processor or anything big.

And just remembering our manufacturing triangle of cost, quality, and schedule, if you're trying to hit a shipment date of the holidays, you need to be on the water, say, at the end of August. But if you haven't accounted for a 12 week lead time item, you're going to be really late, and that can be catastrophic. So that's one of the really, really critical things to keep track of.

And then the third thing is just procurement. So manufacturing tends to drift over time if you don't have it under control. And one of the ways it can drift is that the factory can trade out the component you speced with a lower cost component, and often they'll keep the savings, which is sort of a different discussion. But on the BOM, to prevent this from happening, you have to be really clear as to what parts that's OK do it for. So that'd be like a generic resistor or capacitor, as long as the product works, and it's within spec, that's fine. Factory, pick whatever you want.

But some components you really might care a lot about using this particular component. And you have to call that out on your BOM. That would be an assigned part. The problem there is it's a single source. And if that component is end of life, or Apple vacuums them all up, then you're in trouble. So you might say, well, to diversify, I'd do something like an approved vendor list, or an AVL. And that would be where you qualify, say, three to five different components, and the factory can use any one of those three to five. But if they can't find it, they have to get your permission before using another one that you'd go and qualify. So in your BOM you'd want to specify, like, these are my AVLs. These three suppliers are acceptable.

And then there's also a situation where you may want to consign part of your product. So typically what happens is, you'll give let's say a PO to the factory to bill 5,000 units, and they'll go and procure the parts. But the problem is now and then you'll hit what's called a ghost shift. So imagine we're building sneakers. I put in an order for my 5,000 sneakers, and I get those during the day. But if the factory is not reputable, they're going to run the line at night and build another 5,000. And those are not counterfeit. They are real, legitimate sneakers, but they're not going through my sales channel, they're going through the gray market.

So the technique to prevent that is-- it doesn't work for sneakers, but for electrical components-- is that you can consign one of the components that's critical to build the product. So we'll often consign the processor and give that to the factory. So I know that if I buy 5,000 processors, the factory can only build 5,000 units minus the scrap. But that's something you'd want to specify in the BOM, because the BOM is often used to trigger the component by. And the factory'd have to know, oh, Scott sourced in that, or shoot, we'd better be sourcing that. So it's really important to be clear on this stuff.

THOS NILES: We can ham and egg it, either way. So you know, I've mentioned before, but the idea about your cost. And it's not just the sum of your parts. Something that we find teams misunderstand, or maybe figure out too late is that in a spreadsheet-driven BOM, typically you're going to have your extended cost, and a lot of people just let's say that's in column F, they just sum it up and they're like, right, I got my cogs, I know how much it's going to cost. But there's a lot more that goes into your product.

I won't go down the laundry list, but there are hidden taxes and hidden costs that you need to be considering when you think about your cogs. And this is the non-linear math that makes spreadsheets dangerous when you try to think about your manufacturing future. These are all things you need to consider so you can understand what it's going to take to build your product. I don't know if you have any further--

SCOTT MILLER: Yeah, and again, just always going back to the manufacturing triangle. This gets to the cost side of it so that you understand the cogs which is going to drive your per-unit profit, but then there's all this other stuff on top of it outside of the cogs that you have to keep track of that's super important. And while this may not entirely be the scale, if you're just looking at your bill of materials and thinking that's how much money the product costs you, but that's not entirely right, it actually cost this amount. But then there's all this extra tax you have to pay.

And what we're going to get to in a little bit is just helping you with some insights, making sure you have enough money to get from your prototype through ongoing production. And it's really important to keep track of that other kind of hidden cost, as [? Cos ?] was saying.

AUDIENCE: If you go back to that slide, there were two different profits. There's the profit [INAUDIBLE] the factory you're working with profit, and the factory [INAUDIBLE] profit.

SCOTT MILLER: Yeah, great question. So this is the profit for the factory, the CM, what you have to pay them, and then this would be as a company, the profit that you put in your pocket. And typically it depends how you're selling, whether you're direct or through retail. We usually talk about there's ex-factory price, which is what you pay the factory to buy your product. There's selling price, which is what your customer pays you. And then if it's through retail, there's sell through price, which is what their customer pays them. And everybody gets their profit accordingly from the factory, to you, to the retail. But of course, if you sell direct, then you get rid of the middleman and get more profit, but you have to do more work.

AUDIENCE: So for your own [INAUDIBLE] think about that way. [INAUDIBLE]

SCOTT MILLER: Right. Yes, I mean, here you could also-- often in the markup we include overhead. So maybe in the case for your factory, there's no profit, but it's the overhead of running it would be there.

THOS NILES: So there's other taxes, too, so NRE. You need to think about the cost to engineer the thing, you got to think about your tooling costs. Pilot runs, samples. All of these things have costs associated. The equipment that it's going to take to test, your certifications. And a lot of these certifications especially is time, not just a cost. So there's the hard cost of paying you well, but then there's the time it takes, and the opportunity cost, especially for small teams, can be a huge. Production line test fixtures, it stacks up, and stacks up, and stacks up.

SCOTT MILLER: And one of the interesting things that you can think about early is depending on your volume, like tooling can obviously be a huge amount of money. Which if you're building a small number of units, maybe a disproportionate amount of the cost. And so as you're designing your product, you might think, well, do I need to do injection molding, or could I do it in CNC, or could I do rubber molds? Things like that to try to figure out how you want to handle that blue column.

But of course, that has a market impact on your design. Because what you can CNC doesn't mean that's something that you can mold, or what you can 3D print doesn't mean you can CNC it. So you've got to make those kind of architectural decisions early. And also they all have lead times associated with them. Typically for our tools it's six to eight weeks. But thinking of cost, quality, and schedule, if you don't have time for that, you might either make a simpler part with a plainer parting line because that will take less time to tool, or maybe you try it in sheet metal, which you can bang out a lot more quickly.

THOS NILES: But again, just reinforcing that these are all the things that if you can plan for, if you can think about early, then you make good decisions that you won't be surprised by or regret later. The smartest person I know once told me that expectations are just disappointments expressed in advance. So if you think about what's that equation, expectations minus reality equals happiness.

So if you can think about ahead of time what you don't want to have happen, and then plan to mitigate that. And these are all levers and knobs you have to turn.

So like I said, we had built the Dragon standard BOM about a year ago, and based on the appetite of folks to use that kind of BOM-centric tool, we said there's a lot of things that it can't do. Because it's a spreadsheet, and a spreadsheet is a spreadsheet. And we see a lot of teams that build their BOM in the sheet, and they build these really clever sheets, it's very impressive. And they stretch them to their limit and make them do just unnatural things. But ultimately, it's going to break. Because unless you have six monitors lined up, you're going to run out of columns, and it gets pretty unwieldy.

Another feedback we got about the Dragon standard BOM is that it was pretty flat. We used a tab structure to approximate some hierarchy, but you can't really make a usable hierarchical BOM in it. And it got us really excited about the opportunity to build something that's a little bit more robust. I mean, I'm guessing around the room people have used across the spectrum spreadsheets to manage BOMs. And there's probably some experience using more traditional enterprise tools.

But at least, we think there's a big gap in the middle, where you start in the sheet. I mean, we were talking to somebody from I'll call it like a Fortune 5,000 company, maybe, that said, you know, God, all day long we're in Oracle's shop, but I would never put something I was building in Oracle until I'd built like 5,000 of them. Because once I put it in Oracle, then everybody's in my shorts, and I got to play by these rules. And I need the flexibility is I'm going to into manufacturing, so I just manage it in sheets. And it's like, well, I either do it suboptimally this way or suboptimally that way.

So what we've been working on are some tools to help make it a little easier, or a little more approachable. Where you can keep track of more of the sort of depth of data and have a great BOM.

So let me hop out of this for a second and show you guys our product planner a little bit. Fill time while I do this.

SCOTT MILLER: Cool So as Thos will get at, one of the other really important things about BOMs is the ability to do a hierarchical BOm. So if you remember that-- wasn't the Happy Meal, the cheerful meal. Like you may want to do different SKU configuration where, I always use the Roomba as an example, because it's an easy one, and I'm out of my NDA, and it's obvious how they work. But you might want to do like a robot, and a charger, and a couple virtual walls as one SKU for Costco. You may want to do another SKU of a virtual and five virtual walls for a different company. And they're kind of all the same parts, but you're just assembling them in a different way.

If you had a flat BOM it would be really confusing to figure out how many resistors for the virtual walls you need and adding them up. But if you can do a hierarchical BOM, you can really easily keep track of that and move parts in and out. And that's one of the ways where spreadsheets just really literally fall flat. So we're just kind of think of some better ways to do it.

THOS NILES: Yeah, definitely. Jump in here too. I don't have a strict script, and apologies, I'm going to sit down so I can do this more easily. So like I said, this is a tool we've been working on, it's called Product Planner. It's in a closed beta right now. If anybody is working on a product and they want to try this out, definitely sign up. If you're working on a product and you're going to sign up, come up afterwards, tell me you're going to do it, I'll make sure you get fast tracked in.

So we wanted to make it as easy as possible for folks to get started, and hopefully we have. All you've got to do is drag and drop your BOM in here. You drag and drop your BOM in here and we're going to get the data in for you. You don't have to worry about a thing, give us a day to turn it around. But first things first, nobody wants to build a product where the first thing you ask your customers to do is shit shoveling data entry. There it is, I swore. I promised [? Sashleen ?] and I wouldn't swear, but now I've done it.

But like I said, we've built-- wake up. There we go. So we've built this around this idea, remember, the hamburger. You've got SKUs, you've got product items. You're thinking about what people are going to buy, and a way to organize multiple product items into different kinds of SKUs. So an example here, you've got this single item, demoSKU. Come on, trade show internet. There we go. And you can see we've got this thing set up in an indented view, where you've got assemblies and subassemblies, parts.

And you're able to click through these. You've got different depth of data and all kinds of things you can interact with, see where they're used. Lot of the things you'd expect. You have the ability to attach, say, data sheets, or really any kind of arbitrary file against these things. Sort of going through here. And I should say, this demo data is realistic but not real, so don't try to figure out what this product is. It's never going to come together.

The other things you can do is get a nice flat view. So a thing you can't easily do with your spreadsheet is just flip back and forth between hierarchal and flat views. So try to make that easy for you, break these things down into different sections. And you can see this guy's got a lot of electronic parts.

Of course, you can go and export that, work on that. A thing that we find makes it easier to use than a lot of sheets is an easy way to manage your order quantity. So how many are you going to build? And this is important because it's got support for volume step pricing. So the idea of tracking across different MOQs, different prices, with different lead times, maybe from different suppliers.

Now if I knew my demo data little better. Some of these things are even going to have-- try randomly, here we go. So this is new, actually, as of yesterday. We just wrapped up an integration with Okta Parts. So if you are using Product Planner and you've got no idea what your electronic part costs are, you can go and pull these estimates and sort of one bash you could say, estimate all my parts. And what we'll do is we'll go pull through in these orders of magnitude, average prices via our friends at Okta Parts so you can really start to get an idea.

You can think about Product Planner as this tool of increasing clarity, where you start with, like I was saying even about the spreadsheet BOM, hey, there's 95% I don't know. And we're going to give you a structure and hopefully some tools and helpers that will get you closer and closer to clarity.

But let me see, what else is exciting? Other things, though, it's not just about your part costs, like I said. So you've got all your unit costs here, and that's great. But what about your fixed costs? So a way to track all this NRE, and maybe some samples for the press, test fixtures. If you remember that slide where things were stacking up, all those things that you might not think about when you're looking to sum up column F, they all have costs associated, and they all go into the true cost to manufacture.

And we also put in a fairly simple but straightforward way to think about some of the other taxes you're going to have to pay. So what's the labor, what's your standard markup? And then as Scott was talking about with consigned parts, often there'll be a different markup associated with them. So just some simple knobs to track these different costs.

Once you've got those costs, you can start thinking about reports. Look at this, this page looks different than it did yesterday. That's exciting for me. So the ability to look at-- oh, this is cool. The ability to look at things like, let's look at a weighted cost breakdown. OK, you guys are all watching me figure out how to use my own product. Let's not look at that. Let's look at something like the SKU cost breakdown.

So let's say this is going to be for which SKU? Let's say it's for this guy. Pick which SKU you want to understand your cogs for, and you say, I want to make 10,000 of these. And it's telling me nicely that I have one part without a valid cost. So let's try a lower number and see if that works. Gone in the wrong direction. Let's try a bigger number and see if that works. Thanks for sticking with me here, folks.

All right, I'm not going to hunt down this part. This is demo data. But the ability to break out your cost breakdown at the SKU level we've found is pretty helpful. I think this guy should be an easy one. So just global parts breakdown, here we go. So we keep all of your parts in an item library. And in this case, you've got a lot of electronic parts that you're keeping track of. And then the ability to export some of the stuff as CSVs.

But the thing that we're most excited about is this actions and insights. And I'm going to pass the mike back to you in a second, we'll flip back into the deck to go through some of what this does. But the idea of being able to give teams a look into the future. And this first insight that we put together is around your cash flow. So helping teams understand what it's actually going to cost to build this thing, how much money they're going to need, and what some of the assumptions are that drive it, as well as some of the things to think about if you want to change that picture.

But this is even more fun to explain in this deck. So let's go back in here. And Scott, I'm going to let you talk through this.

SCOTT MILLER: Sure. So one of the things that we've found working with hundreds if not thousands of companies is that they often run out of money, and they're surprised by that. Which is not awesome, because one, if it's a surprise, it's very difficult to have room to maneuver. And two, if you're building hardware, no VC really wants to finance inventory, they want to finance the growth of the team. So it's hard to get money from them. You probably don't have enough of a track record to get factoring from a bank, or to get a loan.

So being able to look into the future is incredibly important just because the decisions you make cast a really long shadow, and they're expensive and very timely timelined later if you get them wrong. So as much as we love BOMs and think they're cool, most people just don't find them sexy, and there's something that they figure out that they have to have after it's too late.

So what we're trying to do is try to identify the biggest pain points for hardware companies and use the bill of materials to provide those key business insights up front to make the BOM interesting and actionable. And hopefully that will drive even more engagement with it so people have good BOM hygiene. And we picked this task of saying cash flow is one of the most important things to focus on.

So what we've done is we've got your components, we talked about lead times, minimum order quantities, and then of course how much the part costs, and what volume you're building in. And from there we can build up this cash flow picture.

So on the x-axis is a weak number, and it's just arbitrarily set from the week you pick the factory. So once you've assigned a factory to build your product. These yellow bars are the checks you're going to have to write on those weeks, depending on what the manufacturing service agreement negotiated. So do you have, like 80% component prepay? Meaning when you order a component, maybe it's 12 weeks out, you have to pay 80% of that price at that time. And then when you ship the product, you'd have to pay the remaining 20%, plus labor, plus overhead, and so on.

And you can imagine that on your BOM you may have all sorts of different lead times. So some 12 weeks, some 10 weeks, some eight week. So it gets very tricky, very quickly, especially if you're doing ongoing production, because the factory made buy on a monthly basis. So you're starting to layer on multiple lead times and multiple builds. So we can distill all of that and create this weekly payment picture. So you may have your tooling, your long lead material authorization, and the final payment, as we talked about.

Now of course, on the other side you want to make money. So that's your revenue. And that depends on whether you air ship it or sea ship it, and then what the payment terms are from your customer, and also the difference between eventually what you're selling it for and what it cost you to make.

So green line is revenue when it goes up. And then if we look at the difference between the two, we get the gray line. So what this tells me is that if I don't have that amount of money-- and keep clicking, I think it shows up-- then I don't have enough money to build this product. And this includes all of that UL certification, and tooling, and scrap. And remember our beer example, it includes the sixth beer so we can keep track of that overage.

It also tells me I'm profitable, at least on a per-unit basis. So often we run these and we see the gray line ending up below the x-axis. And unless that's your business model, that's probably not awesome. And there's usually two solutions if you're underwater. One is to sell more product, and that would be typically if you've got really expensive tools that you have to pay off, and the more product you sell, the more incremental profit you get to pay off the tools. The other option would be that you're selling it for less than it costs you to make it. And then of course, the more you sell, the more money you lose. So it's important to understand which one of those scenarios you're in, figuring out how to respond to it. But this gives you a really quick and easy picture.

And where we find it gets really interesting then is if you can run scenarios to make it into something that works for you. So right now for this baseline case, we're saying we have to pay 100% of the components when we order them from the factory. So let's say I have a 12 weekly time component. I have to pay that whole thing 12 weeks out before shipping. Midterms with the CM are that whenever the product ships, I have to pay for it right at that time. So when I take delivery of it. My customer is going to pay me net 30. So 30 days after they receive it, then I get paid. I'm going to sea ship it. And then working through that math, I need a little more than half a million dollars of working capital, which is the nadir down there. So maybe that's not where I want to be, or how much money I have. So we can twiddle it.

So what happens if instead of having to pay 100% of the components when I order, I might get better terms from the factory, and I just have to pay them when I take delivery of the product. And if you toggle back and forth, you'll see that it doesn't change the amount of working capital I need, but it does require me to deploy my capital for a lot less time, which in general is just a better idea.

But it still doesn't solve this problem, so we go a step further. And let's say that instead of net zero I can get net 30 from my factory. So in this case you'll see we go from a little more than half a million to about $400,000. So we've saved about $100,000, and we can toggle back and forth there. But maybe that's not good enough, so I want to get even better terms. So for my customer, instead of getting paid 30 days after delivery, if I can get paid on delivery, that's going to move the whole green block to the left, which is going to help me. And we can toggle back and forth and see how that moves.

But maybe that's not good enough so that I want to even improve my situation further. So instead of sea shipping and putting it on the water, which is typically five weeks, maybe it's a small product and I can air ship it. And you can imagine, you could do the math, figuring out the cost differential between sea shipping and air shipping, and then the interest rate of the capital that I have to deploy or how much I have. But again, if I sea ship it, it moves the green bars even further to the left. And now my working capital has gone down about a half million dollars, from I think $544k down to $33k.

Now of course, it doesn't mean you can do this. You've got to negotiate with the factory and with your customer. But where we think it gets really powerful is it gives you visibility into these decisions early. Because once you've negotiated the deal with the factory, they've got you, they're never going to change it until you're shipping really high volume, and you may not live long enough to do that.

Or you may look, as you're considering the RFQ processing, you're looking at multiple factories. You might say, oh, you know I prefer to go to [INAUDIBLE] rather than this one, because they're going to give me net 90 days, which would make a tremendous difference on your cash flow. Or you may say, let me run everything through Aero or Avnet, because they're going to give me good financing.

So it's really important to make these early foundational decisions right. And what we're trying to build with these tools is just the ability to run the scenarios so you can get a picture that works for you and plan accordingly.

AUDIENCE: Also the revenue is kind of projected revenue?

SCOTT MILLER: Yeah, exactly. So what this doesn't account for is whether you can actually sell the product or whether the demand is there. And if it's not, or you guessed wrong, if you obviously build more product then you can sell, then you're going to have a lot of cash tied up in inventory. On the other side of it, if the demand is so strong, which is what we saw at iRobot, that you can't fill the pipe, then you're using a huge amount of opportunity, too.

THOS NILES: Funny aside, we were having a design conversation the other day, and we were talking about ways to visualize this stuff, and handy tools. And we were like, let's put in a account for bad luck button that just sort of squashes different variables. So we might do that.

SCOTT MILLER: And it'd be totally possible to do that, because things never go according to plan. Or because this is on a schedule, you can imagine, and some of the functionality we have for later is like, oh, let's throw in Chinese New Year, because everybody is always surprised by that. It's like, oh, OK, everything got bumped out a month, or whatever your favorite holiday is. And that can have a market impact on the amount of capital that you need.

THOS NILES: Exactly. Because this is an arbitrary set of weeks. But if you could say, well, what about this specific set of weeks? Or building on Scott's earlier point, maybe you want to work it backwards. I need to have this thing at Amazon's warehouse for FEA by, I think their deadline for Christmas is in October. So now I need to work backwards from that date. So what are the things I need to do to make that happen?

SCOTT MILLER: So it makes it all just into math where you can run scenarios. But the kind of cool thing is it's all driven off you're bill of materials, which as he said, in itself is not sexy, but the stuff that you can do with it is pretty awesome. So that you get an insight into the future.

THOS NILES: Yeah, so what did we learn? Hopefully this is mapped to our learning objectives from the beginning, but manufacturing's super, super hard. But if you've got a good bill of materials that you start early, have good hygiene and good habits, then you're going to be able to see into the future and walk through walls. And the thing that we can't stress enough is that there's more to your cogs than just summing up your part costs. Summing up column F is interesting, but it's not the answer.

SCOTT MILLER: We are coming in almost exactly on time, which is an awesome time for questions.

THOS NILES: So yeah, we have a few questions. But before we get into them, just reinforcing, if you need to flip a coin to figure out what you're going to do it at one o'clock, I can loan you a quarter, but definitely go to one of those two things at one o'clock. And just a few resources. We've got all kinds of stuff on our site. I mentioned Product Planner, definitely sign up for the beta if you're building something. If you're a little bit earlier, you just want to start having some really good foundational habits, Dragon standard BOM. We've got a whole series of videos on DFM. Now that I said that earlier, I want to make some videos about DFF, or design for fun. And we publish all kinds of shenanigans like this. If you like this talk and you like this kind of point of view, we've got nonstop excitement on the blog.

SCOTT MILLER: Cool. Well thank you guys for coming out early in the morning, and any questions you have, we're happy to answer them now, or you can always come up to us later or email us. So thank you. Sir?

AUDIENCE: Yeah, so I know that [INAUDIBLE] try to make a BOM [INAUDIBLE], is there anything else you said you guys are looking at [INAUDIBLE]?

THOS NILES: Look at this, our friend Vic here has answered that question pretty well. And we were chatting before the thing. I mean, I think there are definitely things we can do and will do connecting some of the more popular CAD packages to get sort of a running start. But there are other folks, like Vic's got a company called OpenBoM, and they've concentrated very much on that initial transformation.

So how do I take-- and stop me if I'm butchering this-- how do I take--

AUDIENCE: I'll say something about one of you guys.

THOS NILES: Awesome, this will be fun. So how do I take the product of design, sort of the lowercase p, or the burger without the bun and the other stuff, and how do I get that into a common format? And they're doing a great job with that. What I love about that is now we've got a common format, and that makes it easier to use our tools.

AUDIENCE: Yeah, I couldn't agree more with what Thos was saying. So you look at the hamburger, OpenBoM is really about being able to take the ingredients and take that from any CAD narration. But what these guys do, which is really, really cool is they'll tell you about that burger in the context of that SKU, the accessories, et cetera, and then help you make really intelligent and well-informed decision based on your manufacturing and your own product [INAUDIBLE].

So they're very complimentary, but what you guys do is really awesome.

THOS NILES: Thank you, sir.

AUDIENCE: And you should tell everybody how to make sure you get your product, because you always want to make sure you try to get your product. I use the Dragon Innovation. And what's really cool is that-- and this is really true for hardware [INAUDIBLE], guys that may not have a whole lot of experience, or may not have even bough updated BOMs, is that you start off with templates. And the templates are actually populated with dummy data, just to give you an idea, and I think that's just really useful people. So I couldn't stress enough how much I would encourage people to use this, because it's really good stuff.

THOS NILES: Oh, thank you, Vic. And I think that the broader story is that there's all these design tools, and they all have the capability to squirt various formats of some type of BOM, go back to the resume thing. They all squirt out something different. And I think it's really exciting that we're stepping into a space where you've got teams like OpenBoM and what we're doing trying to galvanize around something that's more standard. Something that everybody can just pick up and run with.

And I'm one for analogies, so an analogy we use sometimes is that your BOM should be like your chart in a hospital. The way any doctor could walk in, pick up the clipboard off the end of the bed, very quickly be like, OK, I know what to do. I know how to treat this patient, even if they've never seen you before. And right now, it would be anything but. If you had to rely on your BOM to get well in the hospital, I think we'd all be scared.

AUDIENCE: Because you're familiar with [INAUDIBLE], right? So driving these is worth working towards, and [INAUDIBLE] you can just upload your CAD file and [INAUDIBLE]

THOS NILES: Yeah, definitely. If we had more hands on deck, we'd be using them all, or most of them.

AUDIENCE: Had to think about it.

THOS NILES: Yes. Cool, cool.

SCOTT MILLER: Thank you, guys.

THOS NILES: Thanks everybody.

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반드시 필요 - 사이트가 제대로 작동하고 사용자에게 서비스를 원활하게 제공하기 위해 필수적임

Qualtrics
오토데스크는 고객에게 더욱 시의적절하며 관련 있는 이메일 컨텐츠를 제공하기 위해 Qualtrics를 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. Qualtrics 개인정보취급방침
Akamai mPulse
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.