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Representative POMs are described for Stakeholder Awareness at each level of maturity.

2Basic

• Practice

  Provide awareness training to, and set expectations for, stakeholders on data analytics task specification, and on the interpretation and exploitation of data analytics results.

  Outcome

  Stakeholders drive analytical objectives, and can understand and use the results from data analytics.

  Metric

  Percentage of stakeholder groups interacting with and making use of analytical results.

3Intermediate

• Practices

  • Put in place stakeholder analytics training for all roles that contribute to or make use of data analytics results.
  • Encourage stakeholders to use their business experience to critically assess the statistical models and their outputs.

  Outcome

  The organization can competently specify analytics requirements and is effective in their interpretation and use of the results.

  Metric

  Percentage of stakeholder groups that have competent staff to manage their data analytics requirements.

4Advanced

• Practice

  Ensure that staff in each stakeholder group are aware of the capabilities, the services available, and the uses of advanced data analytics.

  Outcome

  Stakeholder groups demand advanced data analytics features and take every opportunity to exploit the results.

  Metrics

  • Percentage of key decisions that are enabled/supported by advanced data analytics.
  • Percentage satisfaction ratings for data analytics by senior management, shareholders, and partners.

5Optimized

• Practices

  • Use advanced training to embed and leverage the value of data analytics across the business ecosystem.
  • Have decision makers justify their choices based on the available data.

  Outcome

  Better informed decisions get wide business support across the ecosystem.

  Metric

  Percentage of decisions that are queried or lack data support.