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Representative POMs are described for Process Enablement at each level of maturity.

2Basic

• Practice

  Provide basic training on data analytics processes and encourage staff to execute those processes.

  Outcome

  Staff begin to use the correct processes for data analytics.

  Metric

  Percentage of data analytics assignments using the agreed processes.

3Intermediate

• Practice

  Mandate the use of data analytics processes and assign only data analytics trained staff to data analytics tasks.

  Outcome

  Data analytics becomes reliable and consistent.

  Metric

  Percentage of data analytics assignments that follow the standard processes.

4Advanced

• Practice

  Select appropriate staff for advanced training and empower them to used advanced processes.

  Outcome

  Trained staff are empowered to use advanced processes (e.g. automated, agile, adaptive, and proficient processes).

  Metrics

  • Percentage of staff trained in advanced processing.
  • Number of advanced data analytics processes in use.
  • Percentage of data that is not diverse or from diverse sources.

5Optimized

• Practice

  Use research and experimentation to continually develop training and the use of leading edge processes for innovation.

  Outcome

  Staff are encouraged to experiment and take controlled risks to drive innovation.

  Metric

  Number of data analytics process improvements.