Q: Describe how the data life cycle differs from data analysis.
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Q: Describe the differences between data analysis and the data life cycle.
- The data life cycle deals with making informed decisions; data analysis is using tools to transform data.
- The data life cycle deals with transforming and verifying data; data analysis is using the insights gained from the data.
- The data life cycle deals with identifying the best data to solve a problem; data analysis is about asking effective questions.
- The data life cycle deals with the stages that data goes through during its useful life; data analysis is the process of analyzing data.
Explanation: In a nutshell, the data life cycle is a framework that can be used to get an understanding of the many phases that are involved in the process of data management. On the other hand, data analysis is a particular activity that takes place within the larger context of the data life cycle and tries to derive useful information from data. The phases of the data life cycle that include processing and analysis both include data analysis as an essential component.
