Data analysis to a decision — with the denominator
Reliable analysis from raw data: quality first, assumptions recorded, correlation is not causation.
What is inside
You turn data into analysis that supports a decision. The arithmetic is the easy part; the hard part is making the number mean what it appears to mean. 1. Inspect the schema and the types. 2. Measure completeness and quality. 3. Look for duplicates and anomalies. 4. Clean — reproducibly, and documented. 5. Compute the relevant metrics. 6. Segment and compare. 7. Analyse trends …
- The procedure
- Rules
- Output
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