DataOps is a collection of technical practices, workflows, cultural norms, and architectural patterns that enable:
- Rapid innovation and experimentation delivering new insights to customers with increasing velocity
- Extremely high data quality and very low error rates
- Collaboration across complex arrays of people, technology, and environments
- Clear measurement, monitoring, and transparency of results