Managing Data’s Lifecycle

Data lifecycle management (DLM) is crucial for handling data from creation to disposal, ensuring quality, integrity, and compliance. It involves planning, creation, storage, use, archival, and disposal stages. Effective DLM reduces risks, enhances data security, and maximizes data value. Organizations must tailor DLM strategies to their needs, considering data sensitivity, retention policies, and security measures. DLM also helps prevent data misuse and supports compliance with regulations.

What is the primary goal of data lifecycle management?

• To reduce data storage costs

• To increase data volume

• To ensure data is always secure and compliant

• To eliminate data redundancy

During the planning stage of data lifecycle management, what should organizations consider?

• The cost of data storage

• The color of data storage devices

• The entire data lifecycle

• The number of employees handling data

What is a key consideration during the data creation stage?

• Minimizing data entry errors

• Choosing the cheapest data storage option

• Ensuring data is captured with necessary security measures

• Maximizing data redundancy

Why is the data usage phase critical in the data lifecycle?

• It is the least risky stage

• It is when data value and risk are realized

• It is when data is archived

• It is the easiest stage to manage

What should organizations consider when archiving data?

• The color of the archive folders

• The number of employees accessing the archive

• The cost of archiving

• The potential need for future reference

What is a benefit of a well-managed data lifecycle?

• Increased data redundancy

• Reduced risk of data breaches

• Higher data storage costs

• More complex data management processes

How does data lifecycle management help in reducing risks?

• By reducing the number of data users

• By increasing data volume

• By eliminating data usage

• By ensuring data is always secure and compliant