Enov8 - Top 4 Steps to Better Test Data Management

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Top 4 Steps to Better Test Data Management
From time to time its been heard from many
companies that the non-presence of proper test
data is the chief wrongdoers behind uninspired
testing plans and problems in production.
Applications require different types or volumes
of test data, which makes the process even more
challenging. Nearly one-third of the incidents
in QA/non-production environments are caused by
Insufficient test data and it is a major reason
why almost two-thirds of business applications
reach production without being properly evaluate
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Top 4 Steps to Better Test Data Management

• Extract The subset
• Test data should also come from multiple data
  subsets. A balance is important to create
  realistic Test data management, where test data
  can be run efficiently, and data subsets should
  be large enough to return realistic production
  environments.
• Its an ideal phase for outlining test data
  governance and metrics. To promote improved
  testing and training in different applications,
  gather input and recommendations from various
  groups across the organization.
• This can include tool experts, DBAs, data leads,
  system architects and more.

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Top 4 Steps to Better Test Data Management

• Review Test Data Requirements
• Present day, Permanent Test data management
  systems are been assigned for leading businesses
  at their place. To fortify strategy, during the
  next major transition if TDM is reset in your
  program, like as QA environment or executing a
  new data warehouse.
• For data profiling, the new approach should be
  provided by the particular plan. During this
  step, youll need to understand your data,
  business models, and provisioning. Identify test
  data requirements based on test cases, keeping in
  mind that proper test data sets could involve a
  single application or multiple applications.
• For instance, data may need to be run through a
  CRM system as well as inventory and financial
  management applications.

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Top 4 Steps to Better Test Data Management

• Mask Business Sensitive Data
• Data masking should always be implemented. The
  risk of data violation is high, particularly
  during testing phasing, and heavy fines may be
  filed if any failure happens, lost customer trust
  as well as data. In addition to
  healthcare-related privacy requirements such as
  HIPAA, PCI Data Security Standard requires all
  companies that store, accept, process, or convey
  credit card information support a secure
  environment.
• Test data masking also verify consent with the
  Personally Identifiable Information Privacy Act.
  In addition to customer data, remember that you
  need to identify again sensitive test data that
  may come from amalgamated or employee data
  stores.
• Knowing how to properly mask test data may
  require help from security experts to help you
  set up a Test environment management tool. They
  may also provide directions on how to refresh
  test data as your community goes across testing
  processes.

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Top 4 Steps to Better Test Data Management

• Refresh The Environment
• It will be a challenge if the environment gets
  refreshed, as the applications in use may not
  expect the side effects. It is important to
  create an environment that you can refresh
  correctly and consistently.
• Not like data masking, this process is not a
  single-time occurrence. Although, you can set a
  refresh to your environment once your base is in
  place.
• With the help of these processes, you can make
  your Test Data Management way much better.

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