How Big Data can be leveraged in all aspects of Testing?

How Big Data can be leveraged in all aspects of Testing?

Newest data technologies are entering the market; however, the old ones are also going strong. But it is also important to note here that the Big Data technologies adoption will never slow down, not in the near future. So, it is significant to note how we can overcome the challenges that come with this technology. Such technologies have gone beyond the realms of merely being a buzzword. It is now immensely adopted among corporate and companies, irrespective of size. As per the well-known research and advisory firm, “Big Data is high-velocity, high-volume, and/or high variety information assets that demand cost-effective, innovative forms of information processing that enable improved decision making, great insight, and process automation.” It truly forms the basis for machine learning & predictive analytics which is the best thing considering the very real occurrence of networks and enterprises being inundated with data from mobile apps, social, and IoT that produce a 24×7 constant flow of data.


Big Data has a variety of features. The three significant features of big data are:

  • Different types of data
  • Big volume of data
  • Speed and accuracy at which the data can be processed


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What is Big Data Testing?


In simple language, Big Data refers to enormous quantities of data. There is no specific size parameter to define the size of this technology. It is safe and sound to assume that the standard method to measure it when comes in petabytes or terabytes. Data comes in from every direction, and the velocity and volume would be monstrous. Software developers will be able to build better software faster, using Machine Learning and Artificial Intelligence technologies like deep learning & natural language processing.


Benefits of Using Big Data Testing in All Aspects of Testing

Through Big Data testing, you can make sure the data in hand is accurate, healthy, and qualitative. The data you had collected from the variety of channels and sources are validated, assisting in better decision making. There are a number of benefits to Big Data testing.


  • Data Accuracy

One of the popular research & advisory firm speaks that data volume is likely to expand by 800% in the next 4-5 years, and 80% of this data will be unstructured. Just imagine the volume of data that you have to analyze. You need to convert all this data into a structured arrangement before it can be mined. Armed with the right kind of data, companies can focus on their weak areas, and be prepared to hit the competition.


  • Better Profit and Reduced Loss

Loss in business will be minimal or even a thing of past, if data is appropriately analyzed. If the accumulated data is of lower quality, the company suffers terrible losses. Separate precious data from structured as well as semi-structured information so no faults are made when dealing with clients.

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  • Good Decision Making

When data gets in the hands of the appropriate people, it becomes an asset. So when you have the appropriate kind of data in hand, it would help you make smart decisions. It allows you to analyze all the threats and make use of only the data that will put into the decision making process.


  • Right Strategy and improved Market Goals

You can chart a better decision making plan or automate the decision-making procedure with the assistance of big data. Collect all the validated data, examine it, understand user behavior and make sure all of them are realized in the software testing procedure, so you can deal out something they need. big data testing assists you optimize business strategies by looking at this information.




Transforming data with intelligence is a great concern. As big data is very important to a company’s decision-making plan, it is not even possible to begin asserting the worth of arming yourself with reliable information. Big Data processing is a very promising field in today’s complicated business environment. Applying the accurate dose of test strategies, and following best practices would help ensure qualitative software testing. The idea is to recognize and recognize the defects in the primary stages of testing and fix them. This helps in cost reduction and better outcomes. Through this procedure, the troubles that testers faced during software testing are all solved now as the testing approach are all driven by data. Hence, Big Data is a powerful tool for the current business. In fact, some believe that companies that fail to derive value from machine learning & Big Data will face huge competitive shortcomings as the field continues to grow and adoption increases around the world.


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