DC-Data Quality Management Capability Overview

DC-Data Quality Management Capability Overview ()


Data Quality Management
DQM Roles and Processes
Data Quality Team
DC-Data Quality Team
Data Quality Improvement
Data Quality Planning
Data Quality Control
Data Quality Assurance
DC-Data Quality Management Processes
DC-Data Quality Management Processes
DQM Applications and Technology
Data Quality Monitoring Services
Data Profiling Services
Data Quality Reporting Services
Data Validation and Remediation Services
DQM Vision and Principles
Criticality
Prevention
Root cause remediation
Standards-driven
Objective measurement
Business processes driven
Systematically enforced
Connected to service levels
Lifecycle management
Develop a governed approach to make data fit for purpose based on data consumers’ requirements.
Define standards, requirements, and specifications for data quality controls as part of the data lifecycle.
Define and implement processes to measure, monitor, and report on data quality levels.
Identify and advocate for opportunities to improve the quality of data, through process and system improvements.
Shared Stewardship
Data Quality Framework
DQM Information and Data
Data Quality Service Level Agreement
Data Quality Management Procedures
Data Quality Standards/Indicators
Data Quality Rules


		Data Quality Management	DQM Roles and Processes
		Data Quality Management	DQM Applications and Technology
		Data Quality Management	DQM Vision and Principles
		Data Quality Management	DQM Information and Data
		DQM Roles and Processes	Data Quality Team
		DQM Roles and Processes	Data Quality Improvement
		DQM Roles and Processes	Data Quality Planning
		DQM Roles and Processes	Data Quality Control
		DQM Roles and Processes	Data Quality Assurance
		Data Quality Team	DQM Roles and Processes
		DQM Applications and Technology	Data Quality Monitoring Services
		Data Quality Monitoring Services	Data Profiling Services
		Data Quality Monitoring Services	Data Quality Reporting Services
		Data Quality Monitoring Services	Data Validation and Remediation Services
		DQM Vision and Principles	Criticality
		DQM Vision and Principles	Prevention
		DQM Vision and Principles	Root cause remediation
		DQM Vision and Principles	Standards-driven
		DQM Vision and Principles	Objective measurement
		DQM Vision and Principles	Business processes driven
		DQM Vision and Principles	Systematically enforced
		DQM Vision and Principles	Connected to service levels
		DQM Vision and Principles	Lifecycle management
		DQM Vision and Principles	Develop a governed approach to make data fit for purpose based on data consumers’ requirements.
		DQM Vision and Principles	Define standards, requirements, and specifications for data quality controls as part of the data lifecycle.
		DQM Vision and Principles	Define and implement processes to measure, monitor, and report on data quality levels.
		DQM Vision and Principles	Identify and advocate for opportunities to improve the quality of data, through process and system improvements.
		DQM Vision and Principles	Shared Stewardship
		DQM Vision and Principles	Data Quality Framework
		DQM Information and Data	Data Quality Service Level Agreement
		DQM Information and Data	Data Quality Management Procedures
		DQM Information and Data	Data Quality Standards/Indicators
		DQM Information and Data	Data Quality Rules