As any simulation analyst can tell you, quality materials and property data is essential for modeling and simulation within product design. However, this information often exists in many different formats and locations throughout an organization. For authors of data, generating the right materials information for simulation (usually by analyzing populations of materials test data) can be time consuming, the process can be inefficient, and it’s certainly always complex. Moreover, the final data that’s produced out of this process is not always then traceable to its source.

On the flip side, consumers of that data can often spend precious time searching through different silos of data only to end up with inaccurate or inconsistent information. There may also exist significant gaps in that data, rendering it essentially unusable. Within this type of organizational landscape – and it is a common landscape – the best datasets don’t tend to be reused as the lack of context makes it incredibly difficult, if not impossible, to distinguish between them.

To read how to overcome these challenges, visit our full post on the LiveWorx blog.

Beth Harlen

Beth is our Technical Marketing Communications Specialist at Granta. She holds a First Class Honours degree in Communications and has more than 10 years’ experience within technical, scientific and engineering sectors. Former editor of an international B2B magazine targeting modeling and engineering, high-performance computing, and life sciences. At present, Beth supports Granta applying her journalistic and technical background to convey the value of effective materials selection, analysis, and information management.
Beth Harlen

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