Analyststolike
Analyststolike is a term used in data analysis and analytics governance to describe an approach that blends traditional analyst rigor with automated tooling and AI-assisted workflows. It refers to a mindset and set of practices aimed at producing actionable, interpretable insights while maintaining clear justification and governance over the data and methods used.
Origins and usage: The coinage emerged in industry discussions in the late 2010s and has appeared in
Core characteristics: Key elements include explainability and traceability of results; hypothesis-driven exploration combined with automated experimentation;
Applications: Analyststolike approaches are used in business intelligence, risk management, regulatory reporting, financial services, and healthcare
Criticisms and limitations: The term remains informal and variably defined, which can hinder standardization. Critics caution
See also: Explainable AI, analyst-in-the-loop, data governance, human-in-the-loop.