4 key test data management techniques to empower software testing

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• Whether it is a gaming application or a
  functional CRM or ERP software application,
  organizations need to ensure that the software
  product is tested thoroughly before deployment
  and release.
• Quality assurance is the most heard word in IT
  organizations and has the utmost importance to
  let your customers enjoy your products without
  any functional or operational issues.
• However, when it comes to testing these software
  products, test data management is highly crucial
  for organizations during the testing lifecycle.
• During the testing lifecycle, assessing the
  application under test is required and for this,
  test data sets are needed too.
• When testers test any particular application, a
  massive quantum of data is generated. What the
  test data management technique does is that it
  helps quality analysts to process this data in
  lesser time and generate reports that can be used
  for overall application or software development
  and release.
• Also, there are some other benefits of test data
  management. It helps developers in the
  integration of sensitive data discovery, business
  classification, and policy-driven data masking.

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• Here, test data management also identify common
  test data elements, mask, and archive test data,
  prioritize and allocate test data and generate
  reports and dashboards and create old data
  versions.
• What are the key TDM techniques that empower
  application testing? Lets discuss this in
  detail.
• Exploring the Test Data
• Developers and other stakeholders need to search
  for the right data sets that can be used for
  testing the software product.
• Now, data might be present in cluttered, diverse
  forms and formats and might be spread across
  multiple systems. Locating and choosing the right
  data in the needed format within the time is very
  vita.
• Hence, you will need a solid test data management
  tool that can help you to achieve this objective.
  Now, it is a very tedious and annoying task to do
  it manually.
• It also affects the efficiency of the process.
  The right test data management solution can
  address this issue perfectly. To establish an
  efficient and effective test data management
  approach is very critical in the software test
  life cycle.

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• Validating your test data
• Validating data is another thing that you need to
  work on. In the era where agile methodologies are
  used for software and application development,
  testers, sometimes, get data from actual users
  that come from the application.
• Now, you need to protect this sensitive data
  against any security breaches during the
  development process.
• Some of the sensitive test data might be names,
  addresses, financial information of customers,
  and contact details must be secured by
  organizations against any data breaches.
• Test data management ensures that the data is
  validated first and then used for testing
  purposes.
• Only validated data can show you a real picture
  of the production environment when you deploy the
  software product in the live environment.

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• Building test data for Reusability
• Can you reuse the available data for testing
  other applications? If not, the cost of your
  software development will touch the sky.
• If you want cost-effectiveness, you need to
  ensure that you have the test data that can be
  used in different testing practices.
• You need to ensure that the data is built and
  segmented for reusability. Stored and accessible
  from a central repository, it must be used
  multiple times to optimize the testing practices.
• When you make data reusable, you will get some
  key benefits. First, the bottlenecks and other
  issues will be removed from the data and can be
  accessible to various teams as and when they want
  it.

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• Automation can accelerate the process
• Some of the key elements of test data management
  are scripting, data masking, generation, data
  cloning, and data provisioning.
• When you automate all of these elements, it will
  make the whole process more efficient and
  error-proof.
• During the development and software testing
  process, data automation ensures that the
  developers and quality analysts get the best
  quality data in the needed format.
• Not just that, you can also automate test data
  production. It will reduce the time and efforts
  you spend on software testing and help to
  identify and address any errors or issues with
  the data.
• The QA team would be in a better position to
  streamline its test data management practices.
• Also Read Why Test Data Management is highly
  critical for software delivery?

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• Conclusion
• Data is new knowledge and the best test data
  management practices can help you build your
  brand in the most meaningful manner.
• It helps to build the test environment with the
  required data sets and also ensures that the
  software product you release performs excellently
  without any functional issues.
• All the aspects of the application from
  functionality, performance, security, and other
  aspects are tested perfectly with the help of
  test data management practices.

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