The purpose of the Data Management process is to ensure that all data necessary in providing and supporting business and operational services is available for use and is actively managed from creation and introduction until final disposal or destruction.

Read the Data Management Key Concepts. 

Important links

• Data Management Tool Mentors
• Tivoli® Open Process Automation Library Extensions for Data Management
• IBM® Tivoli Storage Process Manager

Outcomes

• As a result of successful implementation of this process:
• Data life cycle management policies and governance capabilities are effectively provided
• Data life cycle management services are sustained in order to meet or exceed service level commitments
• Legal, regulatory, and business requirements are met for data privacy, quality, and retention
• The accessibility, performance, cost, and value characteristics of data are established, managed and optimized throughout the full life cycle
• The integrity of data at all stages of its life cycle is ensured, including protection of business (and IT) data from accidental loss and destruction
  

Scope

Management of the full life cycle of both externally acquired and enterprise generated data, as well as information about that data.

Includes

• Managing data as a portfolio and the overall plan for the portfolio’s elements
• Cataloging and controlling all data types, such as:
  • Business data
  • Journals and logs
  • Program libraries
  • Systems management data
• Accepting and cataloguing new data
• Data backup and restoration of data to prior states
• Planning and control of data placement, retention, and disposal

Excludes

• Information management activities:
  • Data typing and classification (Architecture Management)
  • Content management (Business responsibility, as part of each business process)
• Change management
• Access control and security protection (Identity and Access Management, Security Management)
• Configuration Management

Key performance indicators

• Customer satisfaction with data lifecycle management
• Data SLA and OLA attainment
• Data control and compliance policy attainment
• Percent of data incidents discovered
  • By Data Management and reported through Event Management
  • By users using the Service Desk
  • By other means
• Percent of incidents that do not result in a service fault
• Time to restore data
• Percent of data backup schedule activities
  • Completed as planned and scheduled
  • Rescheduled or delayed
  • Needing revision
• The elapsed time and direct costs
  • In this process domain
  • In each process step and between steps

Relation to other processes

• Capacity Management – Capacity management is the proactive planning of all service capacities and refers to Data Management for consideration of data management capacities.
• Change Management – New requests for change are assessed by a variety of process teams, including Data Management.
• Release Management – New releases of data management resources affect resource management.
• Service Level Management – Data Management services are typically offered by Service Level Management. Data Management generates data management solution requirements based on trends and analysis.
• Request Fulfillment or Change Management send backup and restore requests to Data Management.

For more information

For more information, see operational processes in the ITIL® documentation.

In addition, see the IBM Service Management web page.