October 2025

The Analytics Advantage

Innovation thrives when time, data, and expertise align, but too often, scientists and engineers get stuck in the weeds of prep work and inefficiencies.

👉 In this issue, we uncover how to reclaim valuable time in the data cleanup step, explore a one-minute skill to improve your models, and share lessons from semiconductor leaders who are turning industry challenges into repeatable success.

What do molecules, microchips, and clean energy have in common?

From optimizing semiconductor yields to accelerating drug discovery and building greener production lines, Discovery Summit 2025 brought together scientists and engineers who connect science and storytelling to reimagine what’s possible.

Every session revealed how data insights spark progress to transform the world we create and the future we imagine.

Missed it? The sessions are now available on demand.

You’re probably wasting 40 percent of your time on data prep 

Scientists and engineers spend nearly half their time wrangling messy data instead of making discoveries. Spreadsheets are slow and coding adds complexity, which means you are stuck in cleanup mode.

Don’t despair – there’s a faster way. Learn why data prep takes so long and how better tools can help you reclaim your time for real innovation.

Master in a minute

Pareto charts

A Pareto chart shows frequency counts for categories, sorted from most to least common. Why it matters:

🔎 Quickly spot the major issues in your process.

✅ Focus on the problems causing the most pain.

🚀 Prioritize fixes that deliver the greatest impact.

Learn how to use Pareto charts to identify what really needs your attention.

Tackling semiconductor challenges: A playbook for success from industry leaders

In the semiconductor industry, leading companies are rewriting the rules of efficiency and innovation. Their results speak for themselves:

✅ Defect rates cut by 40%.

✅ Standardized workflows that preserve expertise.

✅ Complexity transformed into competitive advantage.

👉 Discover how top companies are overcoming data, efficiency, and talent challenges, and how your team can, too.

From latent variables to causal inference: Structural equation models

Structural equation modeling (SEM) is a powerful framework for analyzing complex relationships and can elevate empirical research across disciplines. Our on-demand session with Ken Bollen demystifies SEM core concepts, including latent variables, mediation, fit, and coefficients.

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