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Guide

ScoreBuddy

Written by Scorebuddy

   

 

Analytics can sometimes be a tricky topic, especially in a world of big data. This short video identifies problems that can become highlighted by Quality Assurance Analytics; Broken processes, skills gaps and poor performance.

Analysing data is only useful when the results are interpreted into insights that can be acted upon, otherwise its just a bunch of numbers and lines. There is a process for using quality assurance analytics and it follows the 5 Steps outlined below.

1. Gather data.

2. Run multiple reports.

3. Analyse the results.

4. Gain insights.

5. Take action from the insights.

Can QA Analytics outline other problems?

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Video courtesy of planetvidd.com

Tags: Blog

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