Which Of The Following Most Accurately Describes Data Lifecycle Management (Dlm)?

Data Lifecycle Management (DLM) is a process that helps organizations manage their data from the moment it is created until it is deleted or archived. It is a comprehensive approach to data management that includes the creation, storage, analysis, and disposal of data. By using DLM, organizations can ensure that their data is secure, compliant, and up-to-date.

What is Data Lifecycle Management?

Data Lifecycle Management (DLM) is a process that helps organizations manage their data from the moment it is created until it is deleted or archived. It is a comprehensive approach to data management that includes the creation, storage, analysis, and disposal of data. DLM is designed to ensure that the data is secure, compliant, and up-to-date.

DLM typically involves the following steps:

  1. Data Creation: This stage involves creating data, such as through surveys, interviews, or other methods.
  2. Data Storage: This stage involves storing the data in a secure and compliant manner. This may involve using cloud storage or other data archival methods.
  3. Data Analysis: This stage involves analyzing the data in order to gain insights. This may involve using data visualization tools or other analytical methods.
  4. Data Disposal: This stage involves disposing of the data in a secure and compliant manner. This may involve deleting the data or archiving it in a secure location.

Benefits of Data Lifecycle Management

  1. Improved Data Security: DLM ensures that data is stored in a secure and compliant manner, which reduces the risk of data breaches and other security threats.
  2. Increased Efficiency: DLM streamlines the data management process, which reduces the amount of time and resources required to manage data.
  3. Better Insights: DLM allows organizations to gain better insights from their data, which can lead to improved decision-making.
  4. Reduced Costs: DLM reduces the costs associated with data management, such as storage and analysis costs.

Data Lifecycle Management (DLM) is an important process that helps organizations manage their data from the moment it is created until it is deleted or archived. By using DLM, organizations can ensure that their data is secure, compliant, and up-to-date, while also reducing costs and gaining better insights.