Important way of data resource management

Data from important resource and one must learn to manage data properly to ensure the success and survival of an organization. Database management is an important application systems technology to the management of a firm’s data resources. However, other major data resource management efforts are needed to offset some of the problems that can result from the use of a database management approach. These data resource management are:

Data resource management

  1. Database administration
  2. Data planning, and
  3. Data administration
Important way of data resource management

Data resource management

Database Administration: Database administration includes responsibility for developing and maintaining the organization’s data dictionary, designing and monitoring the performance of databases, and enforcing standards for database use and security.

Database administrators and analysts work with systems developers and end users to provide their expertise to major system development projects.

Data PlanningThis is a corporate planning and analysis function that focuses on data resource management. It includes the responsibility for developing an overall data architecture for the firm’s data resources that ties in with the firm’s strategic mission and plans, and the objectives and processes of its business units.

Data planning is done by organizations that have made a formal commitment to long-range planning for the strategic use and management of their data resources.

Data AdministrationThis involves the establishment and enforcement of policies and procedures for managing data as a strategic and corporate resource. This means administering the collection, storage, and dissemination of all types of data in such a way that data become a standardized resource to all end users in the organization.

The focus of data administration is the control of data in support of an organization’s business functions and strategic business objectives. Data administration may also include responsibility for developing policies and setting standards for corporate database design, processing, and security arrangements, and for selecting database management and data dictionary software.

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