Industry

People & HR

Churn in SaaS and readmission in healthcare are the same survival model wearing different clothes. Same maths, different vocabulary, different traps.

How we actually do it

The statistics stay identical. An industry variant changes framing and vocabulary, never the maths — so results remain comparable across fields.
Units and traps come from the field. Currency, rates and the specific ways data in your industry misleads are built into the interpretation.
Generic analyses adapt at run time. Most analyses carry no fixed industry; they take their framing from the question you actually ask.

Every analysis classified under this industry.

Analyses the pipeline built from a real question in this field — each one became a module its owner can re-run.

Exploratory analysis of IBM HR employee engagement data exploring satisfaction dimensions, department differences, tenure patterns, and attr

Comprehensive analysis of global tech industry layoffs (2020-2024) with temporal trends, sector breakdowns, geographic patterns, and AI-focu

Identifies which employee attributes predict attrition using logistic regression (interpretable odds ratios with 95% CI) and XGBoost with SH