LEVEL 0 · 12 MINUTES
The analytics lifecycle
Analytics is the disciplined process of turning a business decision into a question, then turning evidence into an action. A dashboard alone is not analytics; it becomes valuable when it changes what someone does next.
Simple analogy: Think of an analyst as a doctor. A business symptom—such as falling sales—is not the diagnosis. You ask questions, gather evidence, identify the cause, and recommend a treatment.
Six steps that make analysis useful
1. Frame the decision. 2. Collect relevant data. 3. Clean it so it can be trusted. 4. Analyze patterns and causes. 5. Communicate a clear recommendation. 6. Measure whether the action worked.
Business symptom: “Orders fell last month.”
Question: “Which customer segment and acquisition channel explain the decline?”
Decision: “Where should the marketing team change next month’s spend?”
Success measure: “Restore conversion rate to 3.2% without raising CAC.”
Try it yourself — 5 minutes
A food-delivery app says, “Customers are leaving.” Write one measurable question, name two data sources, and state the decision your analysis should enable.