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Importance of Data Analytics

  • punpals
  • Sep 8, 2016
  • 2 min read

This Topic is to focus on Data , Analyzing data and how we can use data analysis to make our future better .

Whether we are working for a E commerce company or Mobile or Data Company ,all these domains can perform better if they take there past data seriously .

Same is the case in Case of Test Strategies , most of us work on agile environment where plans and strategies are flexible.

When we talk about Test Data , this Data also goes through 4 different processing way which are part of data analysis .

  1. Data Requirement : Example : Lets take a simple example of a new Tester ) how much time in a day i am spending to look into new articles , learning Courses , looking into projects ,liking others articles and posting on other Forums .

  2. Data Collection : Once we have details about above requirement we can always take it in CSV file or convert to JSON format or regular Excel which ever is the requirement .

  3. Data cleaning : Data cleaning is also an important aspect of before processing the data as we don't want to measure wrong data ,or don't want to get misguided with wrong figures .

  4. Data processing : Then comes the Data Processing where we can transform the data in certain format which is readable as well as measurable , as once the data becomes measurable it can be used in its best .

Now you Have your Data in Measurable form , you can use data science techniques (Statistics ) or even Common sense to analyse it and figure out how we can improve the things which we are currently executing .


 
 
 
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