Free course · Lesson 5 of 5
Case Examples: NGO Programs, Sales & Inventory
In this lesson you will
- Diagnose a performance change
- Recommend action from evidence
Business analytics looks slightly different depending on the setting. Seeing a few real-style examples helps connect the concepts to actual work.
- NGO program example: Tracking beneficiaries reached per month against a target, and investigating gaps by region or activity type.
- Sales example: Tracking revenue and units sold by product line to identify what to promote or discontinue.
- Inventory example: Tracking stock levels against sales rate to avoid running out of fast-moving items or overstocking slow ones.
- In every case, the same core process applies: define the question → find/check the data → analyze → present a clear recommendation.
Practical Skill: Choose one case (NGO, sales, or inventory) relevant to your own context and walk through the full process end to end using a small sample dataset.
=== CASE: INVENTORY ANALYSIS FOR A SMALL SHOP === Question: "Which products should we restock this week?" Sample Data: Product Stock Left Avg Weekly Sales Weeks of Stock Left Exercise Books 40 25 1.6 Pens 200 30 6.7 USB Drives 5 8 0.6 Analysis: USB Drives will run out in under a week at current sales rate Exercise Books need restocking soon (under 2 weeks left) Pens have healthy stock (over 6 weeks left) Recommendation: Restock USB Drives urgently, restock Exercise Books this week, hold off on ordering more Pens.
Practice exercise
Using the sales, programme or inventory case, identify the main cause of the problem and write one recommendation with a leading indicator to watch.
Key takeaways
- Driver trees locate the cause
- Outputs are not outcomes
- Match ordering to actual demand
Free self-study lesson — no certificate. For the full instructor-led program, see registration options.