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Gartner defines software engineering intelligence (SEI) platforms as solutions that provide software engineering leaders data-driven visibility into the engineering team’s use of time and resources, operational effectiveness, and progress on deliverables. This data-driven visibility enables software engineering leaders and their teams to make smarter business decisions, which leads to the delivery of increased value to customers. SEI platforms must be able to ingest and analyze the signals created by common engineering tools and systems. They must provide rich, tailored, role-specific user experiences to enable leaders to more easily query data to identify important trends and gain contextual insights. Software engineering intelligence platforms are used by software engineering leaders and their teams to better understand how software solutions are being built and delivered. Teams can more easily see where they are spending time and how they are approaching code quality (e.g., code reviews), and better understand team flow through key metrics like deployment frequency and cycle time. These platforms serve as a single source of truth for engineering data, providing a unified, comprehensive and transparent view of the engineering processes. Key engineering metrics for delivering digital products include team productivity, business alignment, software quality and operations effectiveness. Organizations can use SEI platforms to better understand their software development life cycle and gain insights into how their teams build software. These organizations can use these insights to continually adjust, experiment with and improve their processes and practices, yielding improved business alignment, higher quality software and happier, more productive teams.

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