The Data Analytics Lifecycle

Summary

The typical flow of a project — define the question, collect/access data, clean it, analyze it, visualize findings, and communicate a recommendation — most real work loops back through these steps repeatedly.

• 1Map a recent analysis you've seen (a report, a dashboard) onto these stages.
• 2Identify which stage usually takes the most time in practice (it's cleaning).
• 3Learn to budget your own time expecting this, not a straight line to the answer.