Software quality has a direct impact on the reliability and performance of an analytics application. Poor-quality applications lead to downtime, loss of revenue, and low adoption by end users. Therefore, a reliable, responsive, and bug-free application is critical.

The Quality Assurance Institute (QAI) has demonstrated that the cost of correcting a defect in a live application is 60–100 times higher than the cost of fixing the same defect during the early stages of implementation. Hence, it is essential to bring testing into the application development cycle as early as possible.