A success story in applying data science in practice

In software engineering, the primary objective is delivering high-quality systems within budget and time constraints. Managers struggle to make many decisions under a lot of uncertainty. They would like to be confident in the product, team, and the processes. Therefore, the need for evidence-based decision making, a.k.a. data science and analysis, has been growing in the software development industry as data becomes available. Data science involves analytics for using data to understand the past and present, to analyze past performance, and for using optimization and/or prediction techniques.