Organization Structure and Governance
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.