48. A company wants to predict next year’s national holiday sales for the entire industry based on one retailer’s reported holiday sales across the country for the past five years. Which type of insufficient data does this scenario present?
Answer: A
Data from one source
Relying on a single retailer's reported holiday sales over the past five years presents a limitation in data diversity, making it difficult to accurately predict national holiday sales for the entire industry. This scenario exemplifies the issue of drawing conclusions from insufficient data sources.
A) Data from one source
This option is correct as it highlights the primary issue in the scenario. Using sales data from only one retailer fails to capture the broader market trends and variations across different retailers, which can lead to skewed predictions and a lack of representativeness in the analysis.
B) Data keeps updating
This option is incorrect because the scenario does not indicate that the data is continuously changing. Instead, it specifies that the data comes from a single retailer over a fixed period, which does not reflect an ongoing update process.
C) Outdated data
This option is incorrect since the data provided pertains to the past five years, which is not necessarily outdated. The issue lies not in the timeliness of the data but in its insufficient breadth from only one source.
D) Geographically limited data
This option is incorrect because the retailer's data might encompass sales across the country, but the problem arises from the singularity of the source rather than geographic limitations. The data may not be representative of all geographical areas if it originates from only one retailer.
Conclusion
The correct answer, "Data from one source," underscores the critical flaw of relying solely on one retailer's data for industry-wide predictions. All other options fail to address the core issue of data representativeness, thus reinforcing the importance of diverse data sources for accurate forecasting.