This path is for you if people hand you a chart before anyone has named the decision. The parts separate the question, data versus an insight, the loop you repeat, how good the data has to be, and how to read a number without performing certainty. Start with the first part on this page.
- 1 How to start a data analysis: agree on the business decision first Stop opening dashboards until you know which decision will change. A practical guide to framing analytics problems for everyday work; questions before data.
- 2 What is the difference between data, information, and insight? Data, information, and insight are not the same thing. Learn the difference with plain definitions, a workplace ladder, and examples you can use in your next meeting.
- 3 How to make sure every data analysis leads to a business decision Analytics is not a one-way chart. Learn the six-step loop from question to measure-again, with a worked example, SQL sketch, and a ticket checklist you can reuse.
- 4 How to tell when business data is clean enough to make a decision Perfect data never arrives. Learn when an approximate answer is decision-ready, how to talk about confidence without fake precision, and a short quality checklist you can use before you hit send.
- 5 How to read a business number in context before you react to it Counts, rates, denominators, and "compared to what?" A practical guide to reading workplace numbers without falling for lonely metrics or seasonal surprises.