Expertise
Analytics and BANA
Business analytics as a discipline of definitions, models, and decisions, not a stack of chart types.
Business analytics
My graduate training is an M.S. in Business Analytics from the University of Cincinnati, on top of a B.B.A. in Information Systems. The useful overlap is that a measure lives in both a business decision and a system.
Financial modeling
I teach financial modeling. The standard I use is reconstructability: another person should be able to see what the model assumes, what it excludes, and which input actually moves the result.
Visualization
A visual is an argument. It should make the comparison, the trend, or the exception obvious, and it should not imply precision or causality the data does not have. I teach this with Power BI.
Data modeling
Grain, keys, and relationships decide what questions are even legal. Most dashboard arguments are modeling arguments that arrived late.
KPI design
A KPI needs a decision, a definition, an owner, and a known way to be wrong. The explainer on usable measures is the public version of that standard.
SQL
SQL is part of the analytics toolkit I was trained in and still use to make a measure inspectable. This site does not publish a client query library or imply a specific warehouse product.
Power BI
Power BI is the tool I teach for modeling and visualization. In practice work I treat it as one reporting environment among others. If a practice already has something people trust, that is evidence, not an obstacle.
Decision support
The test of an analysis is whether a specific person can do something differently because of it. A complete model that never reaches that person is unfinished.