Data Quality is one of the aspects that is usually overlooked by many organizations while creating a software. Instead, it is now becoming an integral part of the software and needs a critical observation for the organization’s development. This is needed, especially in the times of Big Data evolution when every business is producing huge amount of data.
Data Quality
This term has numerous definitions that are associated with it; however, the data is considered of best quality, if it satisfies the conditions of planning and operations.
The Dimensions of Data Quality
The data quality is tested and measured based on the below mentioned dimensions; thus, giving a clear picture of the issues and allows the data quality to get improved:
How can Data Quality be Tested?
The issues of Data Quality may rise up at any stage and needs Software Testing Training, without getting its effect on the end product. There are numerous bugs that come in place during the internal system processing and these can only be checked by the testers at the database level. However, there is another way from where the bad quality data can enter the system, is through a UI (User Interface). Hence, this stage also needs to be tested and this can be done by giving the inputs of data in the system. This can help up to a great extent in preventing the poor quality data to enter the system.
These skills can be implemented, when the Software Testers have an apt understanding of applying the right tools and methods for testing the Data Quality of a software. These skills can be gained by joining the formal training course about ISTQB Foundation Training Certification Course Online.
More info visit - www.multisoftvirtualacademy.com/articles
Data Quality
This term has numerous definitions that are associated with it; however, the data is considered of best quality, if it satisfies the conditions of planning and operations.
The Dimensions of Data Quality
The data quality is tested and measured based on the below mentioned dimensions; thus, giving a clear picture of the issues and allows the data quality to get improved:
- Validity
- Completeness
- Consistency
- Timeliness
- Uniqueness
- Accuracy
How can Data Quality be Tested?
The issues of Data Quality may rise up at any stage and needs Software Testing Training, without getting its effect on the end product. There are numerous bugs that come in place during the internal system processing and these can only be checked by the testers at the database level. However, there is another way from where the bad quality data can enter the system, is through a UI (User Interface). Hence, this stage also needs to be tested and this can be done by giving the inputs of data in the system. This can help up to a great extent in preventing the poor quality data to enter the system.
These skills can be implemented, when the Software Testers have an apt understanding of applying the right tools and methods for testing the Data Quality of a software. These skills can be gained by joining the formal training course about ISTQB Foundation Training Certification Course Online.
More info visit - www.multisoftvirtualacademy.com/articles