How to start and complete data quality management

  • Dividing Responsibilities
  • Managing Cross-Functional Teams
  • Recognizing Data Quality Issues
  • What is Data Quality?
  • Maintaining Organization and Discipline
  • Monitoring Investments and Efforts
  • Analysis of Poor Data Characteristics and Performance
  • Data Profiling
  • Understanding Data Metrics and quality criteria
  • Setting Up Data Standards and Management Rules
  • Practical Execution
  • Data Monitoring and Continuous Updates

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