Role-Specific Training
Identify skills and competences for the roles in data analytics and ensure that staff either have or can acquire these quickly.
Improvement Planning
Practices-Outcomes-Metrics (POM)
Representative POMs are described for Role-Specific Training at each level of maturity.
- 2Basic
- Practice
- Train data analytics staff on the objectives and on role-specific implementation skills and competencies.
- Outcome
- Assigned staff are effective in executing the data analytical activities they are assigned.
- Metric
- Percentage of data analytics staff deemed adequately trained for their assigned role.
- 3Intermediate
- Practice
- Provide data analytics training to develop data analytics staff to a competent professional level.
- Outcome
- Staff can deliver a professional data analytics service.
- Metric
- Percentage of staff that are professionally certified and/or educated to primary degree level.
- 4Advanced
- Practices
- Provide training and education to enable staff to use advanced analytics and supporting tools.
- Support staff so they can achieve senior professional accreditation and/or Masters level education.
- Outcome
- Staff can deliver an advanced data analytics service to the organization.
- Metric
- Percentage of staff who are trained and capable of delivering advanced data analytics solutions for the organization.
- 5Optimized
- Practice
- Provide staff with access to the latest research on data analytics, education to PhD level, and training to achieve advanced professional accreditation.
- Outcome
- The organization is recognized as a leader in analytics and can attract and retain the very best of available practitioners.
- Metric
- Percentage of positions filled that require advanced education and training.