2 alternatives to identify erroneous data in a corporation

Most bugs are relatively easily identifiable.

For this, two different alternatives can be used that allow the effective detection of erroneous data:

a) Manual verification

This alternative enables, theoretically, locate the most common errors, and this is achieved by verifying each and every one of the values ​​based on the original source of the information, thus allowing to determine which values ​​are correct and correct. that they are not. Despite this, this alternative has some disadvantages, especially with regard to the cost associated with HH.

b) Automatic analysis

They use both software and the ability of the data quality analyst to detect errors. These can be applied to:

• Transactions that are taking place.

• Databases that are changing.

• Databases in production, periodically.

There are four categories of analysis that can be applied to the data:

Well-applied analytical techniques identify enough errors to give a clear picture of the state of data quality. Despite this, a program of continuous improvement of data quality achieves satisfactory results.