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[Sponsors] |
Measuring the Value and Cost of Data Analysis | |
This webinar will focus on how to create effective data analyses before, during and after your simulation runs for all applications. We will review the utility of our Derived Parts and how they are used in quantitative reporting and plotting. We will also cover the effective use of color and lighting to generate high impact, effective scientific visualizations. | |
Date: | April 30, 2015 |
Location: | http://www2.cd-adapco.com/l/14592/2015-03-26/57k553 |
Contact Email: | jay.dunstan@cd-adapco.com |
Organizer: | CD-adapco |
Softwares: | STAR CCM+ |
Type of Event: | Online Event, International |
Description: | |
This webinar is free, but registration is required to obtain log-in credentials. Visit out event page for further details. Is a picture worth a thousand words? Some are, some aren’t — but why? When it comes to presenting simulation results, it is not an easy question to answer or anticipate. While we are fully engaged in projects, we learn a lot about the devices and processes we are modeling. With excessive amounts of data being generated in the face of fast-approaching deadlines and our target audiences needing to form their own thousand-word narratives, it is easy to lose sight of our primary objective: delivering something in an efficient and effective way that enables others to see problems immediately and understand the choice of resolution. The challenges of managing our data include:
This webinar will focus on how to create effective data analyses before, during and after your simulation runs for all applications. We will review the utility of our Derived Parts and how they are used in quantitative reporting and plotting. We will also cover the effective use of color and lighting to generate high impact, effective scientific visualizations. Along the way, we will demonstrate drag ‘n’ drop methods to quickly create and modify content within your scenes. Register now to reserve your place and learn how to meet and overcome today’s challenges in data analysis. |
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Event record first posted on April 16, 2015, last modified on April 17, 2015 |
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