📌 Data Lifecycle Management Summary

Data Lifecycle Management (DLM) is the process of overseeing data from its creation and storage through to its use, archiving, and eventual deletion. DLM helps organisations make sure data is handled properly at every stage, keeping it organised, secure, and compliant with regulations. By managing data throughout its lifecycle, companies can reduce storage costs, improve efficiency, and lower the risk of data breaches.

🙋🏻‍♂️ Explain Data Lifecycle Management Simply

Imagine your school notebooks. At the start of the year, you buy new ones, use them for notes, store them safely, and throw them away when the year ends. Data Lifecycle Management works the same way for digital information, ensuring data is created, stored, used, and deleted responsibly.

📅 How Can it be used?

A project might use Data Lifecycle Management to automatically archive old sales records and safely delete them after a set period.

🗺️ Real World Examples

A hospital uses Data Lifecycle Management to manage patient records, making sure they are stored securely while needed, archived when inactive, and permanently deleted after the legal retention period expires to protect patient privacy.

A financial services company implements Data Lifecycle Management to regularly move outdated transaction data to cheaper storage and ensure that data is deleted after regulatory deadlines, helping to control costs and stay compliant.

✅ FAQ

Data Lifecycle Management is all about looking after data from the moment it is created until it is no longer needed and safely deleted. It matters because it keeps information organised, helps prevent data from piling up unnecessarily, and makes sure sensitive details are handled securely. This means organisations can work more efficiently, save money on storage, and stay on the right side of data protection laws.

By keeping a close eye on data at every stage, Data Lifecycle Management helps organisations spot and fix weak points where information could be lost or stolen. It ensures that data is only kept as long as it is needed, reducing the risk of old or forgotten files being targeted by cybercriminals. Regular checks and updates also mean that security measures stay up to date.

Yes, it does. By regularly reviewing and removing data that is no longer needed, organisations avoid paying for unnecessary storage space. This not only saves money but also makes it easier to find and use the data that really matters. Over time, this can add up to significant cost savings and smoother day-to-day operations.

📚 Categories

• Data Engineering
• Data Governance
• Information Governance

🔗 External Reference Links

Data Lifecycle Management link

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