Reference
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.
Platform economics
Seat price is one line. Storage, pipelines, warehouse or lakehouse compute, capacity, and adoption decide the rest. The public case study on analytics platform cost is the long form of that standard.