Data Quality Problem - Essay Example

Of the six potential data quality problems such as currency, completeness, relevance, duplication, outliers, and inconsistent values and coding, which do you consider as the most difficult to detect and fix and why?This has to be the completeness and relevance of data. In a project involving Big Data, it is almost impossible to correctly anticipate future data requirements. Data that may be useful right now may be of no purpose in the future. It is also hard to fully understand what data is relevant for the project and what data is of no purpose.

Fixing data incompleteness and irrelevance is a delicate task, as it usually results in altering the entire structure of databases and sometimes affecting the integrity of the entire databases. 3. Which do you consider as relatively easy to detect and fix and why?I consider currency, duplication, outliers, and inconsistent values and coding to be relatively easy to fix. Currency conversion is inbuilt in data management systems. Duplication of data is also simple to detect and can be eliminated through the use of primary keys.

Outliers, inconsistent values, and coding can be removed by the use of tools that detect discrepancies in data.