The similarities between the data life cycle and the data analysis are as follows are both are concerned with examination of data, both are data science processes and both have a goal to draw inferences based on the given data set.
The process by which specific data moves from creation or collection to storage and/or deletion at the end of its useful life is known as data lifecycle. Since the rise of big data and the continued growth of the Internet of Things, data lifecycle management (DLM) has become important.
Globally, more and more gadgets generate huge amounts of data. It is important to maintain proper control over the data throughout its life cycle to maximize the value of the data and reduce the risk of errors. Finally, expired data should be archived or deleted to prevent it from using more resources than necessary.
To know more about Data life cycle here-
https://brainly.com/question/26952504
#SPJ4
