Do you Use Analytics for Decision Support?

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Is your organization using data intelligence throughout the entire product lifecycle to drive innovation and better decision-making? Discover the power of analytics and collaboration on the Dassault Systèmes 3DDashboard, leveraging NETVIBES-EXALEAD.

Watch our new series of short videos, “Analytics for Decision Support,” in which Morgan Zimmermann, CEO of NETVIBES-EXALEAD, explains:

 

Part 1: What is the Difference Between 3DDashboard and Analytics?

Go beyond analytics. Learn how the Dassault Systèmes 3DDashboard analyzes data in its complete context, driving collaboration and better decision-making across the organization.

 

Part 2: Why R&D and Manufacturing Don’t Take Full Advantage of Analytics

Traditional analytics technology, as it has been built for transactional systems, doesn’t work in the world of products. At Dassault Systèmes, we have invested quite a lot for rebuilding analytics that are capable of understanding the complexity of the product and help drive performance for:

  • The product: performance, weight, cost, CO2 emissions, etc.
  • Engineering processes: task management, use of resources, timing etc.
  • Plant performance: productivity, use of resources, CO2 emissions, etc.

 

Part 3: What is a Decision Support Application?

In order to fully understand what is happening in a project, enterprises need not only the numbers and KPIs, but also the ability to understand why it is happening. Manufacturers need the ability to virtually model “What-if” scenarios: what if this happens, or what if we change this aspect of the product? Further, in order to drive efficiency and make the best use of the data, it is essential that these insights are shared in the same place where business leaders interact and collaborate to make a decision. Having everything in one platform empowers the company to capture historical knowledge, to learn from previous decisions, and to make better decisions in the future.

This is what we call a Decision Support Application. It requires the integration of sophisticated analytics technology, modeling and simulation capabilities, and collaboration tools.

 

Part 4: How 3DDashboard Eliminates 3 challenges: Spreadsheets, Emails and Presentations

Static spreadsheets, emails and presentations do not allow users to benefit from real-time project information. Learn how the collaborative 3DDashboard overcomes these challenges to empower enterprises to make better-informed decisions.

 

Part 5: How the 3DEXPERIENCE Platform Drives Continuous Improvement with Decision Support

The 3DEXPERIENCE platform consists of three separate engines that enableconstant improvement, driven by data insights, throughout the enterprise:

  • Big data and AI engine—Information Intelligence with NETVIBES-EXALEAD;
  • Modeling and simulation engine—CATIA and SIMULIA; and
  • Collaboration and execution engine—ENOVIA and DELMIA-APRISO

These complementary engines allow companies to learn from what’s happening, to model scenarios and ask “What-if” questions, to collaborate on decision-making, and then to execute and monitor those decisions, thereby driving continuous improvement.

 

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