9-Step Workflow Hands-On

Don't rush to analyze. First, scan this table and report:
How many columns, what each column means, date range, total rows,
any null values, duplicate records, or anomalous numbers,
whether date formats are consistent.
Report findings only — don't start analyzing yet.

Based on the analysis results above:
1. Distill the 3 most important findings, written as "finding → supporting numbers → possible cause."
   Each finding must point to specific numbers — no vague statements like "overall positive trend."
2. Consolidate into an A4 one-page management dashboard + 300-word summary for management:
   Highlight March decline, best-selling products and regions, 3 improvement recommendations.
3. Propose 3 immediately actionable improvement measures, ranked by priority.
For each recommendation, specify: which data supports it, who is responsible, deadline, and how to measure effectiveness.

This is the company's Q1 2026 sales detail (the file contains sales
detail and monthly targets — two tables). Fields include date,
salesperson, product, quantity, sales amount, province, customer type.
I want to see Q1 overall performance and multi-dimensional breakdown:
1. Total sales, total order count (by unique order ID), average order value
2. Monthly sales and achievement rate, compared to the monthly target table
3. Enterprise vs. individual customer average order value comparison
Definition: amounts are tax-inclusive, order count by unique order ID,
not by row count.
Output: HTML report with monthly trend line chart, product Top10 bar chart,
province proportion donut chart, enterprise vs. individual comparison chart;
corporate blue primary color, full titles, data source noted under each chart.