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Chapter 14: Problem 20

What causes an item of data to become stale?

Short Answer

Expert verified
Answer: Data staleness can be caused by various factors, including synchronization issues between systems, slow updates in data sources, insufficient maintenance of data systems, and inaccuracies in source data. To maintain data accuracy and avoid data staleness, it is essential to address these factors by ensuring timely and consistent synchronization of data between systems, regular updates of data sources, diligent maintenance of data systems, and thorough validation of source data for accuracy.

Step by step solution

01

Identify the factors causing data staleness

Data staleness can occur for various reasons, including synchronization issues between systems, slow updates in data sources, insufficient maintenance of data systems, or inaccuracies in source data.
02

Discuss synchronization issues between systems

One of the significant causes of data staleness is synchronization issues between different systems that store and process data. For example, if there is a delay in updating data from one system to another or if there is a discrepancy in the data format, it can lead to outdated data.
03

Explain slow updates in data sources

Another cause of data staleness is slow updates in data sources, such as databases or external data feeds. If the data is not updated frequently, it can become outdated and may not reflect the most recent information available.
04

Describe insufficient maintenance of data systems

Insufficient maintenance of data systems can also lead to data staleness. This can occur when systems are not regularly checked for accuracy, updated with new information, or are not adequately supported by organizational resources.
05

Detail inaccuracies in source data

Finally, inaccuracies in source data can cause data to become stale. This can happen when the input data is incorrect, incomplete, or obsolete. In such cases, even if the data systems are working correctly, the outputs may be incorrect or outdated. In conclusion, data staleness can be caused by various factors, including synchronization issues between systems, slow updates in data sources, insufficient maintenance of data systems, and inaccuracies in source data. To maintain data accuracy and avoid data staleness, it is essential to be mindful of these factors and address them appropriately.

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