About
Who We Are
At Kans Analytics, we believe analytics only matter if they improve decisions. The firm was founded by Huybert Groenendaal, whose PhD – focused on risk analysis – and MBA from Wharton reflect our blend of analytical precision and business acumen. With more than two decades of consulting, teaching, and research experience, we help organizations turn uncertainty into clarity—building risk and optimization models that drive confident, high-impact decisions.
Key Principles for Successful Analytics Projects that Deliver Real Value
At Kans Analytics, our philosophy is simple: high-quality analytics bring value to our clients by improving decisions. That belief shapes every project we take on, and it drives how we design and deliver our work. We follow six guiding principles:
1. Decisions Come First
Analytics is only valuable if it improves choices. We begin with understanding the decisions that matter, then design models to provide clarity and insights for decision-makers.
2. Data Serves Decisions
Data is a means, not an end. We focus on the right data—combined with expert input and appropriate models—to answer the appropriate decision questions.
3. High Quality is Essential
Models must be accurate, transparent, and well-validated. Reliable results build the trust leaders need to act with confidence.
4. Capture Uncertainty with Simulation
Decisions are about the future, and the future is uncertain. Using tools like Monte Carlo simulation, we capture the full range of risks and outcomes—turning uncertainty into actionable insights and organizational value.
5. Clarity Over Complexity
We keep models rigorous but practical, avoiding unnecessary complexity so decision-makers can understand and use the results.
6. Communicate for Action
Analysis has no impact unless its insights are clear. We translate results into compelling guidance that leaders can act on.