Day 09 of 10 · Mastery · Executive business intelligence

From Sales Data to Management Decisions

Revenue, profit, margin, sales by segment, country, product and reporting period.

Sunday, November 1, 2026Platform-neutralHealth · Development · Business Intelligence

Your analytical mission

Which market, product or segment merits investment, remediation or monitoring?

This is a storytelling challenge, not a test of how many visuals you can create. Investigate the central question, choose evidence that answers it, and explain why the findings matter.

Step-by-step instructions

  1. Define a small executive KPI framework and calculation logic.
  2. Explore revenue, profit, margin, and time across product or segment and geography.
  3. Identify an evidence-backed business trade-off and validate it with a second view.
  4. Design at least two meaningful filters or parameter selections.
  5. Recommend three clearly prioritized management actions, each tied to observed evidence.

Scope and data preparation

Use the same open sample as earlier days, but apply substantially deeper analysis.

Expected deliverables

  1. Executive-level interactive dashboard or equivalent navigable report.
  2. Metric glossary and three management recommendations.
  3. Brief explanation of data limitations and next analytical steps.

Label charts clearly and cite the dataset and extraction date. Tell us which tool you used.

Quality guardrail

Do not invent corporate targets or budgets. Explain why an observed pattern may not imply a causal mechanism.

Required story structure

Question → Evidence → Interpretation → Action. Include a concise evidence-led title and a limitation where relevant.

Dataset and provenance

Microsoft Power BI: Financial Sample

Official source and download instructions. The source may contain more rows or fields than this day's suggested scope.

Open official data source ↗

Download guidance: Follow the provider’s export instructions. A clean SI Analytics extract has not been published in this package. For initial learning, use the recommended scope above and check metadata before analysis.

Source: Microsoft Power BI: Financial Sample. Original data may have licensing, citation, coverage and refresh requirements. Confirm the dataset version before publishing.

Submission checklist

Submit the completed dashboard/chart or report link, a fallback screenshot or PDF, your 100–300-word findings (depending on the day), your source citation, and a brief methodological limitation. Share publicly only if you have appropriate permissions.

Suggested LinkedIn tag: #SIAnalyticsDataVizChallenge. Mention the day and one evidence-based finding.

Submission link: To be announced by SI Analytics.

Public data are credited to their original providers. SI Analytics challenge instructions are independent educational materials.

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