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Organization Structure and Governance

D2

Define analytics roles, responsibilities, accountabilities, controls, and the composition and authority of the board(s) that govern data analytics.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Organization Structure and Governance at each level of maturity.

2Basic
  • Practice
    Put in place a basic structure and governance model for key decisions on data analytics.
    Outcome
    There is consistent decision-making and monitoring for key data analytics decisions.
    Metric
    Percentage of data analytics decisions that are documented.
3Intermediate
  • Practice
    Put in place a consistent and flexible data analytics decision-making and governance process that defines which people are involved and how decisions are implemented, and that allows for decisions to be modified as more data becomes available.
    Outcome
    There is transparency and flexibility on how decisions on data analytics are made, implemented, and monitored.
    Metrics
    • Percentage of data analytics decisions made using the governance model.
    • Percentage of data analytics decisions that are monitored.
    • Percentage of data analytics decisions that are implemented as planned.
    • Percentage of data analytics decisions that are modified based on new data.
4Advanced
  • Practice
    Ensure that the decision and governance processes for data analytics: — involve all the relevant stakeholder groups.- take into account the availability and regular updating of the relevant information.- include a set of criteria that is based on the criticality and risk to the business.- encourage decisions to be made at the lowest possible level in the organization.
    Outcomes
    • The governance model for data analytics has the flexibility to adapt in the face of critical business risk.
    • Decisions are made at the appropriate level.
    Metrics
    • Number of improvements to the organization structure and governance model that have reduced business risk.
    • Number of improvements to the organization structure and governance model that are based on business criticality.
    • Percentage of decisions that are made at the lowest possible level.
5Optimized
  • Practice
    Regularly review and optimize the decisions about data analytics and governance processes based on results, feedback, and research.
    Outcome
    The organization structure and governance arrangements for data analytics are continually improved.
    Metric
    Number and frequency of reviews of the data analytics decision and governance processes.