Beyond Design of Experiments: What’s Next in the Business?

Summary of the White Paper

This whitepaper presents an innovative approach to systematically collect DoE data from multiple sources in a unified database. By applying meta-analysis techniques, it becomes possible to uncover insights and knowledge that go beyond what isolated experiments can provide, helping engineers unlock the full potential of their experimental data

Key Insight

• Consolidating multiple DoE datasets in a unified database enables powerful meta-analyses to gain learnings beyond individual experiments.
• A flexible "Entity-Attribute-Value" database model allows to store and analyze heterogenous DoE data from different sources.
• Meta-analysis of DoEs opens up new possibilities including experiment planning based on aggregated learnings