Decision-driven analytics that create clarity and value
At Kans Analytics, we partner with our clients to design and build simulation and optimization models that bring clarity to complex decisions—enabling confident choices and measurable impact.
An Expert Team You Can Rely On
Decision-Driven Analytics
We start with the decisions that matter most—because analytics only adds value when it leads to better choices.
Expertise You Can Trust
Years of experience across Fortune 500 companies, international organizations, and financial institutions.
Turning Uncertainty into Clarity
We use advanced analytics—like Monte Carlo simulation and optimization—to quantify risk, and guide confident and optimal action.
Clear Insights, Real Impact
Our models are rigorous but practical—built to support informed and smarter decisions.
About
At Kans Analytics, we believe analytics only matter if they improve decisions. Founded and led by Dr. Huybert Groenendaal, an expert in risk and decision analysis with decades of experience, we help organizations turn uncertainty and complexity into clarity and impact. We have worked with Fortune 500 companies and international organizations, such as the World Bank, ConocoPhillips, GlaxoSmithKline, and Verizon.
Explore Our Services
With over 20 years of experience in simulation and optimization modeling, we help your organization turn risk and complexity into clarity and value.
Past Results
Kans Analytics, and its collaborators, have supported dozens of clients in decision-driven analytics
Testimonials
In a world full of data, Huybert stands out for turning analytics into insight. His mastery of stochastic modeling helps translate uncertainty into measurable risk and better strategic choices. He has an uncommon ability to connect deep technical rigor with the realities of business decision-making.
–Dean Sergent
Founder & CEO NxNW
Huybert is money. Whenever we engaged with Huybert to solve a problem, he not only addressed the issue we thought was important to solve, but he also re-framed the problem in a more intelligent way. If you have a business challenge that lends itself to quantitative solutions, I recommend Huybert and his team. They can apply modern tools and techniques to optimize your decision process.
–Jim Franklin
CEO Decisioneering
If you’re in need of sophisticated risk modeling for financial, scientific, economic or social science purposes, you should tap Huybert’s expertise.
–Brandon Williams
Managing Director IgniteIP (currently US Undersecretary of Energy for Nuclear Security)
Frequently Asked Questions
What does “decision-driven analytics” mean?
At Kans Analytics, analytics always starts with decisions that matter. We design our models to help leaders make better, more confident choices—rather than simply analyzing data and building models for its own sake.
What makes Kans Analytics different from others?
We combine world-class modeling with a focus on driving organizational value. Our models are rigorous but practical, balancing accuracy and practical business-acumen, so leaders can understand, and act on the results.
Why the name “Kans Analytics”?
“Kans” means “chance” or “opportunity” in Dutch—a fitting reflection of our focus on understanding uncertainty and helping organizations turn it into opportunity and value.
What kinds of problems does Kans Analytics help solve?
We specialize in analytics for complex decisions—whether that involves managing risk, optimizing operations, evaluating investments, or designing insurance solutions.
What is stochastic modeling, or Monte Carlo simulation, and how does it help?
Monte Carlo simulation allows us to model uncertainty explicitly. This helps you understand not just what might happen—but how confident you can be in each possible outcome, as well as how to manage risks before they happen.
How does optimization modeling benefit organizations?
Optimization modeling helps you identify the best course of action when facing trade-offs—such as minimizing costs, maximizing profit, or balancing risk and return. We use this to guide optimal and data-driven operational and investment decisions.
What industries do you work in?
Our team’s experience spans many fields, including finance, insurance, pharmaceuticals, energy, agriculture, healthcare, and public policy. The common thread is helping our clients to make better choices.
How does a typical project with Kans Analytics begin?
Every project starts with a deep understanding of the decision at hand—its context, potential decision-options, and relevant technical, economical and competitive risks. We then design the appropriate model, and clearly communicate results for action.
Can you work with our internal teams?
Absolutely. We typically collaborate with in-house analysts, operations and finance teams, and decision-makers to co-develop models, train teams, and ensure lasting capability within the organization. Our goal is to make your team self-sufficient.
Are your consulting projects confidential?
Yes. The majority of our work is proprietary. However, we occasionally publish or present select projects to illustrate our work and impact.