Solutions
Find the story in your data.
Define the question, make the calculation clear and explain what the numbers do—and do not—show.
Workflow guide. Merism is in development; the examples below are suggested briefs, not results from a live product session.
Ask a question the data can answer
State the time window, units and comparison you need. Check for missing rows, duplicate records and changes in definitions before drawing a conclusion.
- Example brief: Using this de-identified weekly sales table, compare revenue and order counts with the previous four weeks. Separate a change in volume from a change in average order value.
Choose an output that helps a decision
A useful analysis leads with the answer, then the calculation and a short explanation of the assumptions. Request a table before a chart if exact values matter.
- Suggested output: key finding, weekly comparison, calculation notes and three questions the data cannot answer.
- Revenue = order count × average order value only when those quantities use the same period and definition.
Check the arithmetic and interpretation
Recompute a sample from the original rows. Verify units, filters and denominators. A correlation does not establish cause, and an incomplete sample may not represent the wider population.
- Use de-identified or approved data. This workflow guide does not announce file uploads, a live analysis runtime or a specialized financial service.