How many phases are there in the data lifecycle?

The data lifecycle consists of a series of phases that data goes through from its creation to its eventual deletion or archival. Recognizing the different phases is crucial for managing data effectively, particularly in terms of security and compliance.

In this context, there are six distinct phases in the data lifecycle:

1. Creation: This phase involves generating new data from various sources, which might include user input, sensor data, or other automated processes.

2. Storage: Once data is created, it is stored in various formats and locations, which may involve different cloud services or on-premises solutions.

3. Usage: Data is utilized for various purposes, such as analysis, reporting, or operational processes. At this stage, data is actively accessed and manipulated.

4. Sharing: Data may need to be shared with other users, systems, or organizations. This phase emphasizes the importance of data governance and secure sharing practices.

5. Archival: Data that is no longer actively used but must be retained for compliance or future use may be archived. This involves storing data in a more cost-effective and less accessible format.

6. Destruction: When data is no longer needed, it must be securely deleted to ensure