Data is most useful when it improves judgment. My interest is not in measurement for its own sake, but in designing information systems that help leaders understand what is happening, identify what matters, and make better decisions under real-world constraints.
Theme
Data & Decision-Making
Contents
From reporting to decision support
Many organizations collect substantial amounts of data while still struggling to answer basic management questions. Reports may describe activity without clarifying performance, risk, or tradeoffs. I am interested in moving organizations from passive reporting toward decision support: systems that connect measures to choices, responsibilities, and action.
Metrics in context
Measurement can improve accountability, but metrics can also obscure important context when they are treated as substitutes for judgment. Good performance systems combine quantitative indicators with operational knowledge. The goal is to understand patterns, exceptions, uncertainty, and consequences rather than reduce organizational life to a dashboard.
Applied analytics
My applied analytics work includes exploratory data analysis, data visualization, business intelligence, forecasting, classification, and the design of performance frameworks. These methods are most valuable when they are tied to specific operational questions and when the assumptions behind the analysis remain visible to decision-makers.
Decision infrastructure
I use the term decision infrastructure to describe the combination of data, routines, dashboards, governance, and institutional knowledge that supports recurring choices. Strong decision infrastructure does not guarantee the right answer. It makes it more likely that leaders have timely information, understand the limits of that information, and can act with greater clarity.