Stages of the data competency maturity model
| Stage | Description |
|---|---|
| ad hoc | Minimal data use. Data are disjoint |
| Defined | Data sources are cataloged and described. Decision makers understand the weakness and strengths of the data they use. Summary analyses are common |
| Integrated | Data are integrated through tools such as data warehouses and data visualization tools. Correlational analyses are possible. Culture of evidence-based decision making develops |
| Optimized | Data management and statistical skills are present in the organization. Efforts are made to optimize the use of available data. Diagnostic and predictive applications of correlational data are common |
| Advanced | Experimentation provides causal data. Institutional review boards become necessary |
| Stage | Description |
|---|---|
| Minimal data use. Data are disjoint | |
| Defined | Data sources are cataloged and described. Decision makers understand the weakness and strengths of the data they use. Summary analyses are common |
| Integrated | Data are integrated through tools such as data warehouses and data visualization tools. Correlational analyses are possible. Culture of evidence-based decision making develops |
| Optimized | Data management and statistical skills are present in the organization. Efforts are made to optimize the use of available data. Diagnostic and predictive applications of correlational data are common |
| Advanced | Experimentation provides causal data. Institutional review boards become necessary |
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