Over the past decade, software has made giant leaps in allowing us to track, analyze and visualize the incredible amounts of data flowing across our organizations. Storage is rarely a bottleneck, advances in non-relational databases have helped capture growing volumes of data, and machine learning approaches promise to assist with deriving meaning and insight. Yet for the vast majority of large organizations, one kind of data seems immune to providing any kind of business intelligence -- the data for tracking software delivery itself. Even organizations building the data analysis tools are struggling to find meaningful insights from the many tools…
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