Data Lifecycle Management (DLM) is a policy-based approach to managing the flow of an information system's data throughout its lifecycle, from creation and initial storage to the time it becomes obsolete and is deleted. It aims to ensure data integrity, security, and accessibility while optimizing storage costs and complying with regulatory requirements.

Data Lifecycle Management

policy-based approach

Managing the flow of data

information system's data

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle, ensuring that it remains unaltered and trustworthy for decision-making and analysis. It is crucial for maintaining the credibility of databases and information systems, and involves various practices and technologies to prevent unauthorized access or corruption.

data integrity

Data security involves protecting digital information from unauthorized access, corruption, or theft throughout its lifecycle. It encompasses a range of practices and technologies designed to safeguard data integrity, confidentiality, and availability, ensuring that sensitive information remains protected against evolving cyber threats.

Data Security

Data accessibility refers to the ease with which data can be retrieved and used by authorized users, ensuring that data is available, understandable, and usable when needed. It is a critical aspect of data management that impacts decision-making, innovation, and operational efficiency across various sectors.

Data Accessibility

optimizing storage costs

Regulatory requirements are legal obligations that organizations must adhere to in order to operate within a specific industry or jurisdiction, ensuring compliance with laws and standards to protect public interest and maintain market integrity. They encompass a wide range of rules, from financial disclosures and environmental standards to data protection and workplace safety, and failing to meet these requirements can result in legal penalties and reputational damage.

regulatory requirements

initial storage

becomes obsolete

Data deletion is the process of removing data from a storage medium, ensuring that it is no longer accessible or recoverable. Effective data deletion is crucial for maintaining privacy, complying with regulations, and managing storage resources efficiently.

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