Highly Successful Strategies For Test Data Management

It is the ability and the availability of the quality of test data which is responsible for the successful outcome of any business testing. However, test data is assumed as the most crucial part and maintains business flow verified and validated. Defective and low-grade testing comes out from inadequate and inaccurate data which results in you a data to which you can’t trust and also waste quality time with efforts and money. Due to data sensitivity, heterogeneous data sources, limited availability and complex infrastructure, managing test data becomes extremely challenging. Although, to get a successful Test Data Management, there few strategies to follow.

The Basic Approach

This approach does not have any creational strategy as it’s a basic approach which means that this approach does nothing to remove data after every test case runs. It is not sure that this approach will work under every environment or in the application which is under test, it only assists as an elementary for other patterns. However, in most of the cases, the basic approach works but those cases are very less.

In this, all you need to do is to use an existing user and password after then you have to write the verification points through the data which is already in the system. When you are done with the verification points, it’s time to run the test. If the results are positive then consider your data in the system as well as in the test are same and if the test goes negative then there is a change in data.

Reset Your Data Sources

If the test is not successful, then you got an ordinary solution this problem and that is by refreshing the data sources. In the mid-way of test execution, test automation refreshes the data sources which make your sure that the data in the system and in the running test is the same. Also, it provides you the data sources which are being refreshed with a picture that displays the data you want.

But this strategy can be a time-consuming process of resetting a data source usually take time and sometimes even days. Not only this, the support team should be highly skilled because this approach needs some actual technical moves.

Self Data Generation

Under resetting data approach, the data use to remove but in this strategy, you can create data but cannot remove. If the data is unique, consider a test case that creates data to verify functionality. In this case, the issue arises as data moves away in this.

situation and the reason is its unique data which every test have to verify and to modify its functionality. While, through this self-data generating approach, test automation can generate the data which is being reset. This can help you in maintaining your test data management.

These were the strategies to which you can implement to get the positive results while testing data. However, every day a new issue comes out which gives Test Data Management a challenge but there is always a solution to solve them just as these approaches.

Enov8 provides a holistic solution for IT & Test Environments Management, Software Release Management and Test Data Management.