Outcome: revenue, margin, orders, stock
Change: period and target variance
Drivers: product, channel, store signals
Risk: stock-outs, refunds, anomalies
Action: owner, deadline, state
Design for today’s decision
The report should tell owners what happened, why it matters, and who acts. More metrics do not equal more clarity.
Keep a few outcomes, three to five material changes, and explicit actions. Link detail to a dashboard or natural-language exploration.
Fix definitions and cutoff
Define revenue, margin, order, refund, inventory, and cash with time and state. Show cutoff, refresh health, and missing sources so delayed data is not mistaken for decline.
Choose comparisons that match the operating cadence rather than stacking every period.
Write causes as testable leads
Segment by product, channel, store, customer, or campaign and cite evidence. AI narrative should label hypotheses and avoid turning association into causation.
Add review and detail links for material changes.
Actions need owner and deadline
“Watch inventory” is not actionable; a named person confirming inbound by a time is. Record status and outcome so the same issue does not repeat daily.
Reserve the report for high-impact or urgent items and route the rest to a tiered queue.
Compare implementation paths
Spreadsheets are easy to start but manual; traditional BI handles stable views; integrated AI BI can connect preparation, reports, and questions but still needs governed quality and review.
Accept on delivery time, number consistency, edits, actions, and reduced repetition rather than visual polish. BI0 report and notification behavior requires project confirmation.
Public references
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