Data Quality Management
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Contents |
Abstract
Data Governance Overview
DQM within Data Governance
Benefits of DQM
Trust Improve Analytics Accuracy Minimize Unnecessary Costs Compliance and Risk
Measuring and Defining Data Quality
Completeness Accuracy Validity Consistency Integrity Timeliness
Three Pillars of DQM
People
Process
Continuous Improvement
Framework: Data Quality Life Cycle
Components of DQM
Data Discovery
Profiling
Quality Rules
Quality Monitoring
Quality Reporting
Remediation
Establishing a Successful DQM Program
Glossary
DQM: Data Quality Management ISO: International Organisation for Standardization
References
