Explore Non-Scientific Data in Simlytiks®

As a data-to-decision platform, d3VIEW supports a wide-variety of data. Let us see how Simlytiks, d3VIEW’s data visualization application, helps in visualizing non-scientific data. Leading the way in this enhancement is Simlytiks’ Bubble Chart visualization, which effortlessly harmonizes with simple data, as well as scientific data, to create smooth comprehension. Bubble Chart supports more than…

August 18, 2021 | by

Generate Part Contours with New d3VIEW Workers

Measuring the behavior of materials via specific procedures such as tension or shear tests aids in designing sound and safe products. d3VIEW supports this process by offering tools such as Material Calibration workers in our Workflows application. Recently, two new workers have been created for this, Key Value Generate Part Contours and Curves Generate Part…

August 13, 2021 | by

Pedestrian Protection Data Visualization and Analytics in d3VIEW

Last week’s blog explained how d3VIEW supports crash safety through customized aPLI (Advanced Pedestrian Legform Impactor) templates. This week, we’ll look into how d3VIEW’s templates help with Pedestrian Head Protection. Pedestrian protection criteria specify that pedestrians should not suffer head injury during impact of 160+ points on a vehicle hood. Regulations state that impact should…

August 6, 2021 | by

Using aPLI Templates for Crash Safety in d3VIEW

Data-processing in d3VIEW is made simpler and easier with its ‘Templates’ application. Templates help standardize and organize data imported from a wide range and variety of simulations and test data-sources. We tailor these templates to suit the business needs of users from different science areas. One of the templates generated in d3VIEW for crash safety…

July 28, 2021 | by

Identify Application Pages with Highlighted Headers

With over 12 applications on the d3VIEW platform, differentiating them could get a bit challenging when you are in the thick of things. That’s why each application has a unique icon and color to distinguish one from the others. And now, these individualized icons and colors are present on their respective application page header. As…

July 23, 2021 | by

Progressive Data Visualization in Simlytiks Using Placeholders

As d3VIEW is focusing on taking its users’ experience to the next level, Simlytiks, which is our visualization application has been spruced up. We have been working on extending functionality to improve usability and understanding of Simlytiks. One important improvement in the works pertains to the visualization placeholders – what the user sees before picking…

July 16, 2021 | by

Crashworthiness Tools in d3VIEW

d3VIEW isn’t just a general data mining and visualization platform. It caters to specific industries and concentrations, enhancing and accelerating product design. Crashworthiness, the pinnacle of vehicle safety and an important element in vehicle design, is no stranger to the platform. Featured below are some tools d3VIEW has specifically designed for crashworthiness. Crash Workers The…

June 17, 2021 | by

New Workflow Features

d3VIEW platform is continually enhanced for improved efficiency, better usability and more intelligent processes. The Workflows application has recently been updated with a lot of these enhancements. In addition to the abundance of amazing features that exist already, the app now has some remarkable improvements to add to the mix. Highlighted below are a few…

June 10, 2021 | by

Application Features: Scientific Databases

d3VIEW’s application for scientific databases boasts intelligent features that make managing and organizing data painless. Not only does the app organize data into an advanced table, but it’s filters, viewing and visualization capabilities enhance the experience of data governance. Let’s review these amazing features. Scientific Data Support Databases support an array of data types that…

June 3, 2021 | by

d3VIEW’s Powerful Data Extractions

Data extraction is a powerful process for transforming data for data mining. In simplest terms, extracting data means structuring it, and we need structured data to support faster decision-making. Yet, data extraction can go deeper than this, as it can further transform already structured data to reveal even more insights. When we start transforming on…

May 27, 2021 | by