For software testing initiatives to be successful, test data management is essential. However, there are a lot of obstacles that testing teams must overcome in order to store and use test data effectively.
The primary obstacles to test data management will be discussed in this article, along with how Test Data Management (TDM) solutions help with automation testing.
Problems with Managing Test Data:
Insufficient or missing test data: It is often quite difficult for testing teams to obtain proper and comprehensive test data.
The accuracy and effectiveness of the testing procedure might be significantly impacted by the lack of complete test data. Accurately evaluating software flaws and performance problems in real world settings becomes difficult when testing is devoid of a wide range of data that covers various scenarios and use cases.
This restriction jeopardizes the overall quality and operation of the software being tested and compromises the dependability of testing results.
Restricted access to data sources:
Testing teams frequently run into issues getting access to the necessary data sources, which can cause delays and make the process more complex.
Development teams’ slow response:
One common issue that testing teams face is conflicting priorities within development teams, which can cause significant delays in gathering crucial data for testing.
Implementing new features, fixing bugs, responding to client demands, and achieving project deadlines are just a few of the many duties and obligations that development teams are usually tasked with.
As a result, providing sufficient time and resources to meet the testing teams’ data needs might not always be their first priority.
The timely production of required data may be hampered by this distraction of focus and resources, which would impair the testing process’s effectiveness and progress.
Absence of suitable data management resources and abilities: QA teams may not have the resources and knowhow to efficiently handle and work with massive amounts of data when testing calls for them.
Time-consuming data-gathering procedures:
In order to obtain the necessary data, testers frequently have to communicate with numerous stakeholders for a considerable amount of time, which takes them away from the real testing tasks.
Sensitive data is inappropriate for use in testing scenarios since it is frequently sensitive data that is
upplied for testing. Data analysis time constraints:
It might be difficult to analyze huge amounts of data in a short amount of time, which may affect how well tests work. Solution Successful automation testing requires efficient test data handling.
Opkey’s testing automation software improves efficiency, decreases human labor, and streamlines the process by tackling the typical issues with test data management.
To overcome these obstacles and simplify the test data management procedure for automated testing, Opkey provides a complete Test Data Management (TDM) solution.
Opkey ensures that test data is appropriate for testing by automatically extracting relevant test data from the client’s environment using cutting-edge test mining technologies.
Important master data elements including a Chart of Accounts, Customers, Suppliers, Order to Cash, and more are also effectively extracted by Opkey.
Opkey greatly reduces the workload associated with data collecting for QA teams by as much as 40% in this way.
When there are several testing cycles involved in an EBS to Cloud migration or regression testing for Oracle’s quarterly upgrades, Opkey’s TDM solution is quite helpful.
Opkey simplifies the procedure by automating the retrieval of test data, allowing businesses to save significant time and money.
Opkey helps companies make sure their test data is always available and ready for effective Oracle testing.
