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Product Data Management Survey (Invitation)

How do leading companies manage product data and keep their design processes efficient? Please share your thoughts in our short Design Data Management Survey.

Jim Brown - November 16, 2016

Service and Parts Information Survey
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How do leading companies manage product data and keep their design processes efficient? Please share your thoughts in our short Design Data Management Survey.

surveymonkey_logo_586x390Tech-Clarity invites you to join a research study on best practices in data management. 

  • This Survey is now Closed, please take a look at the resulting report. Gift card recipients will be notified shortly.

amazoncardComplete the survey and receive a free copy of the final report.

In addition, 100 respondents will win a $5 Amazon gift card. *See rules and eligibility requirements below.

The survey should take about 10 minutes. Individual responses will be kept confidential.

Rules

*To be eligible for the Amazon gift card offer, you must complete the survey. You must also be a professional with job responsibilities related to or supporting the development, release, or manufacture of products. Vendors and consultants who sell software, solutions, or services to support product development are not eligible. In addition, Students without relevant professional work experience are also not eligible. To verify eligibility, you must include a valid work email. So that we may confirm this, your work email must include the domain of your place of employment. Email addresses will be kept confidential and will not be used for any direct sales or marketing purposes. Duplicate responses will be disqualified. We will notify winners when the survey closes.

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    This survey is now closed. To access the resulting research, please go to: https://tech-clarity.com/accelerate-innovation-survey-results/11978  …

Filed Under: Uncategorized Tagged With: PDM, Product Data Management, EDM, Engineering Data Management, Data Management, Design Data Management, Survey Monkey, Engineering Efficiency, PLM, Survey

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