Final lesson · 20 of 20
Bring your learning together in a practical business case. Move from a business question and raw data to KPIs, insights, a management dashboard, and an evidence-based recommendation.
Define the problem before analyzing the data
A real-world analytics project begins with a business question. Clarify the organization's objective, the performance gap, the stakeholders, and the decision that the analysis must support.
Business context
A fictional online retailer reports weaker profitability despite receiving orders. The management team wants to know what needs investigation and which actions deserve priority.
Final project lab
Fictional online retailer · Illustrative figures
Business question
Why is profitability weaker than expected?
Evidence needed
Orders, revenue, costs, discounts, and refunds
Decision objective
Identify the next action and how to evaluate it
Interactive activity 1
The CEO says, 'Our performance is disappointing.' What should you clarify first?
Knowledge check 1
Which sequence is the strongest starting point for an analytics project?
Pass both checks to continue
Activity: Not passed · MCQ: Not passed
It applies analytical methods to a business question using relevant data, KPIs, comparisons, interpretation, and recommendations.
No. This page uses illustrative business figures and teaches the project workflow. It does not include a raw transaction dataset or a downloadable project file.
Excel, SQL, Python, and Power BI can support different stages, depending on the data, analysis requirements, and reporting needs.
The business question, data-quality checks, KPI findings, reasoning, recommendation, assumptions, limitations, and a measurement plan.
Limitations help decision-makers understand how much confidence to place in findings and what additional investigation may be needed.