Category: Key Terms
- 6 min read
All about KPIs: numbers that drive a decision
Twenty-eight charts is not a strategy. KPIs are a short list of owned measures tied to decisions. Learn KPI vs metric, leading vs lagging, a practical ladder, and…
What is Git? A straightforward introduction for analytics work
Git tracks versions so teams stop emailing final_final.sql. Repos, commits, branches, remotes, and a minimal daily loop for analysts and analytics engineers.
How to choose where to store your data: a database, a warehouse, or a lake
App DB, warehouse, lake, mart, spreadsheet: each stores data for a different job. A plain map of the stack, tradeoffs, and a decision table so you stop buying…
Data jobs demystified: what each role actually does
Titles blur. Analyst, analytics engineer, BI, data scientist, data engineer, and ML engineer optimize for different questions and outputs. A plain map for hiring, career choices, and less…
What is the difference between analytics, business intelligence, and data science?
BI, analytics, data science, data engineering, and AI share tools but not goals. Plain definitions, how work hands off, and how to frame projects without buzzword soup.
