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Representative POMs are described for Analytics Strategy at each level of maturity.

2Basic

• Practice

  Identify information shortfalls in decision-making and develop basic options for a data analytics strategy.

  Outcome

  Basic data analytics strategy options are developed for consideration.

  Metric

  Number of data analytics-related strategic objectives.

3Intermediate

• Practice

  Establish a formal process to set strategically aligned targets for data analytics and track if they have been achieved.

  Outcome

  Strategically aligned targets are set and are generally attained by the analytics function.

  Metrics

  • Number of strategic data analytics targets set.
  • Number of strategic data analytics targets achieved.

4Advanced

• Practice

  Regularly improve alignment of the data analytics strategy with those of business and IT.

  Outcome

  The data analytics strategy is an enabler for organizational strategic objectives.

  Metrics

  • Number of data analytics strategies that are included in the business and IT strategies.
  • Percentage of stakeholders who are aware of the data analytics strategy.

5Optimized

• Practice

  Regularly review the data analytics strategy using the latest research and to ensure its alignment across the business ecosystem.

  Outcome

  The data analytics strategy is continually focused on the needs of the business.

  Metric

  Number of changes to the data analytics plan that are due to research and business alignment.