Statistics for Business Analytics Using MS Excel — Lesson 4: Analytics Case Study and Decision Validation

Learning Objectives

• Integrate descriptive, probability, inferential, and predictive methods in one case
• Check assumptions, outliers, bias, data limitations, and model reliability
• Present findings, uncertainty, recommendations, and measurable next actions

Detailed Topics

• Integrate descriptive: Integrate descriptive, probability, inferential, and predictive methods in one case
• Check assumptions: Check assumptions, outliers, bias, data limitations, and model reliability
• Present findings: Present findings, uncertainty, recommendations, and measurable next actions

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected outcome.
2. Demonstrate the relevant configuration, analysis, code, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, or test evidence.
4. Compare the observed result with the stated acceptance criteria.

Hands-On Activity

Complete an Excel-based business analytics case and present an evidence-backed decision.

• Document assumptions and the planned sequence before making changes.
• Complete the activity and preserve evidence of normal and exception behavior.
• Record issues, corrective actions, and reusable operational or development notes.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, permissions, data, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, and user or business impact.

Validation Checklist

• The requirement and expected outcome are clear.
• The selected configuration, design, query, code, or process is documented.
• Normal, boundary, failure, security, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply Analytics Case Study and Decision Validation in a realistic scenario and validate the result with documented evidence.