Optimize Data Throughout Its Lifecycle

Ensure data integrity through storage, usage, archival, and destruction.

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THE BENEFITS

Maximize the utility of data at each stage of its life

Ensure compliance by securely managing, retaining, and purging data

Control storage costs and stay under allocated budgets

Increase end-user productivity through improved system performance

Without such a solution [using Own’s archiving capabilities], you have to write jobs yourself in batches, then delete them. Now we can set rules to archive them. It’s easy.
Dobias van Buuren
Chief Technology Architect, Oranje Furniture Care
OwnBackup offers a level of restore granularity that ServiceNow doesn’t. If we want to restore down to a specific group of records, OwnBackup has the sophistication to do just that.
Michael Francis
Director of Workplace Technology
OwnBackup offers a level of restore granularity that ServiceNow doesn’t. If we want to restore down to a specific group of records, OwnBackup has the sophistication to do just that.
Michael Francis
Director of Workplace Technology
OwnBackup offers a level of restore granularity that ServiceNow doesn’t. If we want to restore down to a specific group of records, OwnBackup has the sophistication to do just that.
Michael Francis
Director of Workplace Technology

frequently asked questions

What is data lifecycle management (DLM)?

Data lifecycle management (DLM) is the process of overseeing data throughout its entire lifecycle, from creation and initial storage to the time it becomes obsolete and is deleted. It involves policies and procedures to manage data efficiently, ensuring its availability, integrity, and security.

Why is data lifecycle management important?

DLM is crucial because it helps organizations manage their data more effectively, ensuring that data is available when needed, protected from unauthorized access, and properly disposed of when no longer needed. This enhances data integrity, compliance with regulations, cost control, and overall operational efficiency.

What are the key stages of the data lifecycle?
  • Creation: Data is generated or received.
  • Storage: Data is stored in a secure and organized manner.
  • Usage: Data is accessed and used for various business processes.
  • Archival: Data that is no longer actively used is moved to long-term storage.
  • Destruction: Data that is no longer needed is securely deleted.
How can data lifecycle management help with regulatory compliance?

DLM helps with regulatory compliance by ensuring that data is managed according to industry standards and legal requirements. This includes secure storage, proper access controls, timely archiving, and secure deletion of data. DLM policies can also include audit trails and documentation to demonstrate compliance during audits.

What role does data backup play in data lifecycle management?

Data backup is a critical component of DLM. Regular backups ensure that data can be restored in case of loss or corruption. Backups are typically integrated into the DLM process to ensure that data is protected throughout its lifecycle, from active use to long-term archival.

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