up:: [[Computing MOC]] tags:: #on/data-analytics # Data Life Cycle The data life cycle is a framework for how data is managed. There are six stages: plan, capture, manage, analyze, archive, and destroy. ## Plan This stage happens before starting an analysis project. During the planning phase, businesses decide what kind of data is needed, how it will be managed, who will be responsible for it, and what the optimal outcomes are. ## Capture In the capture phase, an analyst collects data from different sources and brings it into their organization. ## Manage The manage phase is where data is cared for and maintained. Decisions are made about how and where the data is stored, along with how to keep it secure. This phase is important to the [[Data Cleaning]] process. ## Analyze This is when analysts use data to solve problems, make decisions, and support business goals. Most of the [[Data Analysis]] process happens here. ## Archive Once data has been used for analysis, it is stored long-term in a place where it is still available, but may not be used. ## Destroy This phase involves removing data from storage and deleting any shared copies of it. Destroying data is important for protecting business and customer information. --- > [!createdat] Created at: [[2024-11-21]]