In the data life cycle, which phase involves using data to solve problems and support business goals?

The Analyze phase of the data life cycle is crucial as it focuses on examining and interpreting data in order to derive insights that can directly address problems and support business objectives. This phase involves applying various analytical techniques and tools to process the collected data, identify trends, patterns, and correlations, and generate actionable recommendations.

In this phase, data is transformed into meaningful information that can inform decision-making and strategy. For businesses looking to enhance their performance, improve efficiency, or understand customer behavior, the Analyze phase is essential. It is where the tangible value of data is realized, as insights gained from analysis can guide organizational actions and prioritize initiatives that align with business goals.

In contrast, the Capture phase deals with the collection and initial recording of data, which is foundational but does not yet provide the insights needed for problem-solving. The Manage phase involves overseeing data integrity, security, and accessibility, ensuring that data is well-organized and available for analysis later. The Plan phase is focused on defining objectives and establishing how data will be sourced and utilized, setting the stage for subsequent phases but not directly involving problem-solving with existing data.