This is at the heart of moving faster and breaking fewer things.
Better ways of working means less waste, high velocity, better ROI, and fewer harms and unintended consequences.
Execute Data science workflows effectively. Recall fewer systems from prod. Deal with less unacceptable and unexpected behavior.
Projects move quickly from concept to production with clear expectations and requirements, coordination, and high visibility.
Follow predictable standards and best-practices that everyone agrees on.
Known data failure modes are analyzed and small steps are constantly taken to prevent them.
An automated papertrail of how your people, processes, and tools worked together.
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