Coursework / Business Simulation / A
Business Performance & Operations Analysis
Business Analytics / Operations / Marketing / Strategy
An Operations–Marketing analysis of BuildReal, connecting business performance with the decisions behind a mid-simulation deterioration and late recovery.
Performance deteriorated sharply before recovering in the final stage, prompting further analysis of what drove the rebound.
Chart data
| Period | Value Added |
|---|---|
| Jun 18 | 1,187.5 |
| Jun 22 | 445.4 |
| Jun 24 | -649.6 |
| Jun 26 | -1,493.2 |
| Jun 30 | -588.8 |
| Jul 02 | 1,200.8 |
01 · Context
BuildReal was a team-based automotive business simulation in which decisions across Operations, Marketing, Finance, Innovation and other functions collectively shaped company performance.
The company was later analysed from an Operations–Marketing perspective, focusing on how market demand, production capacity, inventory and commercial decisions interacted over time.
02 · Problem
The company showed a pronounced mid-simulation deterioration followed by a late recovery.
The key question was not simply whether performance improved, but why the company experienced such volatility and whether the final recovery represented sustainable operating improvement.
03 · Approach
Connect firm-level KPIs with individual operating decisions: market demand → production allocation → inventory → pricing and marketing response → profitability and cash flow.
Focus on cross-functional dependencies rather than evaluating Operations and Marketing independently.
- Market Signals
- Capacity & Production Decisions
- Inventory Build-up
- Pricing / Promotion Response
- Margin Pressure
- Production Correction
- Inventory & Cash Recovery
An interpretation of the decision sequence, not statistically proven causality.
04 · Key Insight
BuildReal responded to market signals, but execution was often reactive.
Capacity adjustments frequently lagged changing demand, while pricing and marketing were repeatedly used to respond to inventory pressure.
The final reduction in inventory and improvement in free cash flow demonstrated successful correction, but weak profitability and asset returns indicated that the recovery was not equally strong across all dimensions.
Final simulation metrics
- Revenue ($M)
- 6,774.6
- Free Cash Flow ($M)
- 4,361
- EBIT Margin (%)
- 13.2
- RONA (%)
- 7.2
- Days of Inventory
- 32
- Factory Utilisation (%)
- 0
05 · Reflection
Strong business analysis is not simply identifying whether a KPI increased or decreased, but understanding the system of decisions that produced the result.