Moving parts are inevitable. Unknown dependencies aren't.
If you don't know how things connect, you can't predict how they interact.
Model the relationships underneath your data science processes as the weighted edges in a graph. Uncover otherwise opaque dependencies. Track how project success and failure spread through the network.
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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