Process Design and Documentation
Design, develop/acquire, and document data analytics processes that are consistent with the safe management of data and that are in compliance with governance control for data analytics.
Improvement Planning
Practices-Outcomes-Metrics (POM)
Representative POMs are described for Process Design and Documentation at each level of maturity.
- 2Basic
- Practice
- Design, document, and communicate basic processes for data analytics.
- Outcome
- Basic processes are available and in use for data analytics.
- Metric
- Number of data analytics processes designed and communicated.
- 3Intermediate
- Practice
- Design, develop or acquire, and document data analytics processes that are industry standard.
- Outcome
- Industry standard processes are available for use by the organization.
- Metric
- Number of data analytics processes that are industry standard.
- 4Advanced
- Practice
- Design, develop or acquire, and document advanced data analytics processes.
- Outcome
- Advanced, proficient (i.e. with some automation), and flexible processes are available to the organization.
- Metric
- Percentage saving of data analytics resources by automation.
- 5Optimized
- Practice
- Use ecosystem feedback together with the latest academic, vendor, and industry research to continually improve the provision and documentation of processes for data analytics.
- Outcome
- The organization has state-of-the-art data analytics processes that address its data analytics needs and does so cost effectively.
- Metric
- Count of improvements to data analytics processes in the last year.