How is Big Data Testing enhancing value for Digital Enterprises?

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How is Big Data Testing enhancing value
for Digital Enterprises?
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How is Big Data Testing enhancing value for
Digital Enterprises?
Forrester Research has stated that, 44-percent of
enterprises use data analytics and mining to
boost consumer response rates and generate
insights that guide executives in developing
relationship-driven strategies. Even a report
released by Boston Consulting Group (BCG) states
that 58-percent of chief marketing officers
(CMOs) believe that search engine optimization
(SEO), as well as email and mobile
communications, are the areas where big data
systems are having the largest impact on their
organizations. Big Data and Analytics brings
tremendous business significance for enterprises,
which makes Big Data Testing absolutely critical.
It helps enterprises to drive their various
marketing and Sales campaigns, and take informed
decisions for deriving the desired
outcome. Understanding Big Data However, before
we get into the testing services using big data
methodology it is very important to understand
various aspects about Big Data. Big Data is
high-Volume, High-Velocity, and/or High-Variety
information assets that are being generated in
various forms. It enables enhanced insights for
decision making and process automation. Here is
the V method to further understand Big Data. It
helps to understand the Volume, Velocity,
Variety, Veracity and Value of data.
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How is Big Data Testing enhancing value for
Digital Enterprises?

• Velocity Every minute, hours of test data is
  being designed, authored, executed, logged, and
  processed. The rate at which data gets generated
  is unfathomable.
• Volume Everyday almost 2 quintillion bytes test
  data that equals to 40000000GB data gets
  generated.
• Variety Data gets generated even through
  different types of test data such as performance
  testing, functional testing, security testing, or
  any kind of testing.
• Veracity The test data generated via various
  sources can be structured and unstructured. This
  data needs categorizing, analysis and
  visualization to make it relevant and usable.
• Value Value can be derived from Big Data, which
  can happen only when the data is structured and
  streamlined.
• Relevance of Big Data Testing for enterprises
• With Big Data Testing, major amount of testing
  effort is spent on data validation rather than
  testing the system. To overcome this and minimize
  the efforts there are different ways to process
  big data.
• Testing Strategy Draw better test strategy that
  automates the process to collect valid data in
  required format (structured format) to analyze
  and understand. The test automation strategy must
  be in line with the ultimate business objectives.

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How is Big Data Testing enhancing value for
Digital Enterprises?

• Functional Testing Functional testing is needed
  across every facet of Big Data Volume,
  Velocity, Variety, and Veracity to validate the
  outcomes. It is very important to perform and
  verify at each stage to eliminate defects and
  meet customer expectations/requirements.
• Performance Testing Test the performance to
  gauge the Speed, Scalability, Stability under
  variety of data Structured, Unstructured and
  semi-structured. It involves processing large
  data in short time. Testing mixed data conditions
  and monitor the time consumed under varying data.
  The goal is to find the defects and delete the
  blockers that might affect the performance.
• Read Full Blog at
• https//www.cigniti.com/blog/big-data-testing-ench
  ancing-value-for-digital-enterprises/

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