In this white paper, we will explore how analytics and insights can bring a level of control and visibility by presenting test data in a meaningful and actionable way.

We are in the age of continuous testing. Using automation at scale, teams are testing more often throughout the software development lifecycle. But as testing volume grows, how do you know its impact on your ability to deliver quality software faster? Do you know where automation adds value, and where it might be creating risk? How do you best optimize your testing efforts to ensure the maximum return on investment?

Pointing to key metrics that show where testing is succeeding, and where there are areas for improvement, readers will understand how these insights can improve efficiency and create digital confidence.