Which CMMI level involves using data to manage processes?

The level that involves using data to manage processes within the CMMI framework is the Quantitatively Managed level. At this stage, organizations focus on quantitatively understanding and controlling their processes through statistical and quantitative methods. The key characteristic of this level is the application of data to assess process performance and make informed decisions to improve process capability, ensuring that processes are not only followed but are also improved based on empirical evidence.

Under this level, organizations collect and analyze data over time to establish performance baselines, which then guide better predictive decision-making. This rigorous approach enables a clearer understanding of process behavior and the effective management of variability, leading to more controlled and predictable outcomes.

In contrast, other levels such as Managed emphasize basic process management techniques, Defined focuses on standardizing processes across the organization, and Optimizing concentrates on continual process improvement through innovative ideas and technology enhancements. While each level has its focus, Quantitatively Managed uniquely highlights the use of data as a critical component for effective process management.