Certified Supply Chain Professional (CSCP) Practice Exam

Which type of data capture is considered more reliable?

1. Manual data entry

2. Passive/automatic data capture

3. Statistical sampling

4. Paper-based records

The correct answer is: Passive/automatic data capture

Passive or automatic data capture is considered more reliable because it minimizes human error, which is often a significant factor in data inaccuracies associated with manual data entry. Automatic systems, such as sensors or RFID technology, continuously and consistently gather information without the variability introduced by human actions. This method typically provides real-time data, reduces the latency in information reporting, and ensures a higher level of data integrity. Moreover, passive data capture can operate under controlled conditions where data can be gathered from a source without the need for active participation or intervention. This helps eliminate biases or inconsistencies that may arise when data is manually entered or transcribed. Automatic systems can also be integrated into broader systems that continuously monitor and analyze data, providing a more holistic and precise view of supply chain dynamics. While other methods like statistical sampling can provide insight into data validity, they involve an element of estimation and might not capture comprehensive or real-time detail. Manual data entry is highly prone to errors and could lead to significant inaccuracies if operators make mistakes. Paper-based records might be subject to deterioration or misfiling, further compromising data reliability. Therefore, the overall systematic and accurate functionality of passive or automatic data capture solidifies its position as the most reliable data capturing method.