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Ten Signs of Data Science Maturity
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Ten Signs of Data Science Maturity
by Kirk Borne, Peter Guerra
Ten Signs of Data Science Maturity
1. Ten Signs of a Mature Data Science Capability
A mature data science organization…
…democratizes all data and data access.
…uses Agile for everything and leverages DataOps (i.e., DevOps for Data Product Development).
…leverages the crowd and works collaboratively with businesses (i.e., data champions, hackathons, etc.).
…follows rigorous scientific methodology (i.e., measured, experimental, disciplined, iterative, refining hypotheses as needed).
…attracts and retains diverse participants, and grants them freedom to explore.
…relentlessly asks the right questions, and constantly searches for the next one.
…celebrates a fast-fail collaborative culture.
…shows insights through illustrations and tells stories.
…builds proof of value, not proof of concepts.
…personifies data science as a way of doing things, not a thing to do.
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Ten Signs of Data Science Maturity
Ten Signs of Data
Science Maturity
Peter Guerra and Kirk Borne
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