Process Of Test Data Management For Acquiring Satisfactory Results
Test Data Management is the process of testing software through planning, designing, storing and managing the data of particular software. An application should be tested rigorously, you might want to use the generic data for testing but it can lead to a lot of problems once the application is put in for production.
It is better if you do the testing with the data which is very similar to the actual data then there will be close to no problems during the production. To get the proper data quality process should be conducted. Here is the whole test data management process you need to conduct to gain satisfactory results.
Planning
Planning is the basic step of the test data management process. The first step is to get a leader for your team so allot this authority to a very capable and responsible person. After you have a test data manager for the team, set the requirements and templates for data management. Start listing the methods of tests and data landscape reference in a document.
Prepare a Service Level Agreement so that deliverables, support, and communication are clear between all the parties. Form your test data management team and include skilful people to gain maximum results. Set up an appropriate test data management plan and sign off the papers.
Analysis
Recording of version numbers for existing data in all environments is done after setting up and synching exercises involving data profiling for each individual data and proper alignment of all the data requirements.
Update project lists before analysing data requirements and the latest distribution blog. You should asses for gaps and focus on the impact of data modification. Define security, backup, storage and access policy of the date, also start preparing reports for them.
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Design
Start by making strategies for how you are going to prepare your data. Locate regions where the data is needed to be refreshed or reloaded. Find appropriate methods and pronounce data sources and providers. Identify the tools needed, make data distribution plans and communication plans. Also, make the test activity plan and documents for the data plan.
Build
This step of the process is quite important as the implementation of plans begins here. Start by executing the plans you made earlier and also execute de-identification where needed. Back up all your data and update your logs.
Maintenance
Supporting change requests, unplanned data requirements, and problems to enhance the quality of the end result. Prioritise requests where applicable and analyse requirements. Consider the thought if the modified current data can be met including the data assigned to other projects. See if there is any need for data modification and back up your new data. Assign version makers and log with the relevant description. Revise the state of ongoing projects. Perform the data profile exercises and asses the gaps. Refresh the data where it is required as well as schedule and communicate maintenance. Redirect requests if you see it necessary after documentation, prepare the reports.
IT environment management gives you command over the testing environment to conduct the error-free testing.