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Methodology of BR4DQ

Angie Alvarez Apaza English

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Methodology of BR4DQ

  1. Phase 1

    • Purpose
      • Comprehensive data description for quality evaluation.
    • Inputs
      • business processes documentation,
      • systems documentation
      • stated data requirements
      • data transformation details
      • potential data users.
    • Outputs
      • Baseline metadata.
    • Activities
      • Identify business processes
      • describe information systems
      • prioritize stakeholders
    • Tools
      • business process modeling
  2. Phase 2

    • Purpose
      • Identify and describe business rules governing data validity
    • Inputs
      • Data description from Phase 1
    • Outputs
      • Validated business rules, list of controls
    • Tools
      • Business rule discovery tools
    • Activities
      • Identify business rule sources
      • extract rules
  3. Phase 3

    • Purpose
      • List data quality requirements and identify characteristics
    • Inputs
      • datasets under evaluation
    • Outputs:
      • Validated set of data quality characteristics
    • Tools
      • Meetings
      • checklists
      • questionnaires
    • Activities
      • Explain data quality concepts
      • Identify requirements
      • Select characteristics
  4. Phase 4

    • Purpose
      • Group business rules for data quality evaluation
    • Inputs
      • Validated business rule sets
      • data quality characteristics from Phase 3
    • Outputs
      • Grouped business rules,
      • Validation scripts
    • Tools
      • Criteria for grouping
      • questionnaires.
    • Activities
      • BR based on contribution to data quality characteristics
      • implement rules
      • validate adapted vision
  5. Phase 5

    • Purpose
      • Maintain updated business rule groups and data quality requirements
    • Inputs
      • Data description from Phase 1
      • validated business rule set
      • data quality characteristics
      • business rule groups from Phase 4
    • Outputs:
      • Revisited baseline
      • business rule groups
      • data quality model
      • mapping
      • change report
    • Tools
      • Configuration management.
    • Activities:
      • business rule groups
      • Revisit baseline
      • groupin,
      • implementation
      • develop measures for monitoring

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Description
Mind Map on Methodology of BR4DQ, created by Angie Alvarez Apaza on 15/11/2023.
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