January 2026

The Analytics Advantage

In this month’s issue, we highlight teams and industries making progress by challenging the status quo. See how functional data analysis helps scientists understand the full shape of their data, how a global regulatory overhaul is redefining what “good science” looks like in the pharmaceutical industry, and how combinatorial testing strengthens resilience and security by testing smarter. 

Here’s to a year of smarter questions and innovative approaches. 

One solution, five industries: The power

of functional data analysis

As their data grew richer and more complex, five teams found traditional analysis wasn’t telling the full story. Pharma teams, NASA engineers, Dow process experts, Henkel engineers, and sustainability researchers all ran into the same problem: their instruments produced rich curves, but classic analysis reduced those curves to a few points. With functional data analysis, these teams were able to see patterns that traditional methods missed.

➡️Read the full blog post to explore five real-world examples that showcase the power of FDA.

Inside the regulatory revolution that reshaped pharmaceutical development 

Ben Franklin once said there are only two certainties in life: death and taxes. In the pharmaceutical industry, guidelines and regulations are just as certain. As the pace of new discoveries in pharma increased – and global development became more complex – a regulatory revolution was needed to transform fragmented standards into a globally aligned, science-driven framework. This blog examines the key moments that led to ICH guidelines and the four-phase timeline that reshaped what “good science” means in regulated pharma 

Master in a minute

Inferential statistics

Inferential statistics can help you turn small samples into big insights. Learn about the process behind statistical inference – defining a population, sampling, computing sample statistics, and more. 

Complex, resilient, and secure systems

How do you test massively complex systems without blowing your budget or missing critical security gaps? Dimitris Simos demonstrates how combinatorial testing can shrink the input space by orders of magnitude while still surfacing hard-to-find software faults and cyber vulnerabilities by using real examples from the automotive industry and supply-chain security.

Watch if you want to learn:

• How combinatorial testing methods can strengthen security.
• How to uncover faults and vulnerabilities with smaller, smarter test sets.
• How to achieve high assurance without huge test suites.

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