Data Management
Data management has been a critical and common practice employed across industries for many years. At its core, data management encompasses all disciplines related to managing data as a strategic and valuable resource, including collecting, processing, governing, sharing, and analyzing data — and doing it all in a cost-efficient, effective and reliable manner.
The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization. A robust data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.
Managing digital data in an organization involves a broad range of tasks, policies, procedures, and practices. The work of data management has a wide scope, covering factors such as how to:
- Create, access, and update data across a diverse data tier
- Store data across multiple clouds and on-premises
- Provide high availability and disaster recovery
- Use data in a growing variety of apps, analytics, and algorithms
- Ensure data privacy and security
- Archive and destroy data in accordance with retention schedules and compliance requirements
A formal data management strategy addresses the activity of users and administrators, the capabilities of data management technologies, the demands of regulatory requirements, and the needs of the organization to obtain value from its data.
Data management is a total lifecycle information system that follows data from the moment it’s created until it ceases to be useful. Data management tracks the data from place to place, monitors the transition of data from one form to another, and ensures that nothing important is left out of a business analytics model.
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