What is the impact of poor variance analysis on decision-making?

• A. It leads to improved resource allocation.
• B. It causes no change in decisions.
• C. It results in incorrect understanding of performance, misallocation of resources, poor decisions, and loss of competitiveness.
• D. It only affects external reporting.

Answer: (C)

Variance analysis helps management understand not just how actual results compare with what was planned, but why those differences occurred. It separates cost and revenue drivers so you can see which variances are controllable and which aren’t, guiding actions to improve efficiency, pricing, capacity use, and overall profitability.

When the analysis is poor, the picture of performance becomes distorted. You might misread whether a variance is due to higher volumes, price changes, waste, or mix, and you may treat all variances as equally actionable. That leads to misguided decisions—shifting resources to areas that aren’t truly underperforming, cutting costs in places where costs are actually driven by volume or demand, or delaying improvements that would have a real impact. The result is a misallocation of resources, poor strategic and operating choices, and, over time, weaker competitive position.

External reporting can be affected, but the main risk is decision quality: bad variance analysis makes it harder to understand performance accurately and to act effectively, which erodes competitiveness.