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Data management is the systematic process of collecting, storing, securing, processing, analyzing, and archiving data to ensure its accuracy, accessibility, reliability, and usability for informed decision-making and to maximize its value. It encompasses the policies, procedures, and technologies needed to manage an organization's data throughout its entire lifecycle, from creation to deletion, while adhering to security and regulatory requirements.

Key Components of Data Management:

Collection: Gathering raw data from various sources.

Organization: Structuring and unifying data into standardized formats.

Storage: Maintaining data in appropriate systems like data warehouses or data lakes.

Security: Protecting data from unauthorized access, cyber threats, and loss.

Processing & Transformation: Cleaning, validating, and transforming data (e.g., using ETL) to make it ready for analysis.

Analysis: Using data to generate insights, predictions, and business intelligence.

Archiving & Deletion: Managing the data lifecycle, including retention and secure deletion according to policies.