Data analysis phase: The six steps of the data analysis process
The life cycle of data is to plan, capture, manage, analyze, archive, and destroy.
a business decides what kind of data it needs, how it will be managed throughout its life cycle, who will be responsible for it, and the optimal outcomes. Data visualization
an electricity provider wanted to gain insights into how to save people energy. In the planning phase, they might decide to capture information on how much electricity its customers use each year, what types of buildings are being powered, and what types of devices are being powered inside of them.
This is where data is collected from a variety of different sources and brought into the organization. With so much data being created every day, the ways to collect it are truly endless. One common method is getting data from outside resources.
Here we're talking about how we care for our data, how and where it's stored, the tools used to keep it safe and secure, and the actions taken to make sure that it's maintained properly. This phase is very important to data cleansing, which we'll cover later on.
the data is used to solve problems, make great decisions, and support business goals.
storing data in a place where it's still available, but may not be used again.