Data Science Capability Maturity Model
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A Data Science Capability Maturity Model is a analytics capability maturity model for a data science practice.
- AKA: ML Capability Model.
- Context:
- It can (typically) involve Data Science Maturity Levels, such as:
- Initial (chaotic, ad hoc, individual heroics) - the starting point for use of a new or undocumented repeat process.
- Repeatable - the process is at least documented sufficiently such that repeating the same steps may be attempted.
- Defined - the process is defined/confirmed as a standard business process
- Capable - the process is quantitatively managed in accordance with agreed-upon metrics.
- Efficient - process management includes deliberate process optimization/improvement.
- …
- It can (typically) involve Data Science Maturity Levels, such as:
- Counter-Example(s):
- See: Information Technology Maturity Model, ML Model Deployment Platform.
