Mastering ISO 8000 for Data Quality Excellence
You're under pressure. Data quality issues are costing your organisation time, trust, and revenue. Inconsistent records, regulatory close calls, and failed audits aren't just problems - they’re career risks. You need clarity. You need authority. You need a solution that doesn’t just promise results but guarantees them. Every day without standardised data governance means more wasted resources, more compliance exposure, and less strategic influence. You’re not just managing spreadsheets - you’re responsible for the foundation of business intelligence, operational integrity, and digital transformation. But without a structured, globally recognised framework, your efforts remain fragmented and invisible at the leadership level. Mastering ISO 8000 for Data Quality Excellence is your direct path from reactive data firefighting to proactive, board-level data leadership. This course delivers the exact methodology to build a data quality framework that aligns with ISO 8000, achieve internal buy-in, and implement a repeatable system that stands up to any audit or regulator. One learner, Maria T., Data Governance Lead at a global logistics firm, used the course to redesign her company’s supplier data ecosystem. Within 12 weeks, she reduced duplicate records by 89%, accelerated onboarding by 70%, and presented a certified data quality roadmap to her executive team. She didn’t just fix data - she earned a promotion. This isn’t theoretical. It’s engineered for results. You’ll go from confusion to confidence, developing a full ISO 8000-aligned data quality program with documentation, stakeholder alignment tools, measurable KPIs, and a certification-validated implementation plan - ready for real-world deployment. This course works whether you’re new to data governance or looking to formalise existing practices. It’s built for busy professionals who need precision, not fluff. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-paced, on-demand access with lifetime updates - you begin immediately upon enrolment and progress at a speed that fits your schedule. Most learners complete the core modules in 20–25 hours and begin applying key frameworks within the first week. Flexible, Reliable Learning Designed for Real Professionals
- Immediate online access - start the moment you enrol, with full compatibility across desktop, tablet, and mobile devices.
- On-demand structure - no fixed sessions, deadlines, or time commitments. Perfect for global teams and shifting priorities.
- Lifetime access - return to materials anytime, anywhere. All future updates to ISO 8000 content and templates are included at no extra cost.
- 24/7 global availability - access your course from any time zone, on any device, with full offline reading capability.
Real Support. Real Results. Zero Risk.
You’re not left to figure it out alone. This course includes direct instructor guidance through a secure, private support channel. Our ISO implementation experts answer your questions with precision, ensuring you apply every concept correctly to your specific organisational context. - Receive a Certificate of Completion issued by The Art of Service, a globally recognised leader in professional certification and standards-based training.
- This certificate validates your mastery of ISO 8000 and is accepted by employers, auditors, and regulators as proof of formal training in data quality governance.
- The Art of Service has certified over 150,000 professionals worldwide, with alumni in Fortune 500 companies, government agencies, and regulated industries.
Transparent Pricing. No Hidden Fees. 100% Peace of Mind.
Pricing is straightforward with no hidden costs, recurring charges, or surprise fees. You pay once, access everything, and keep it forever. - Secure payment accepted via Visa, Mastercard, and PayPal - processed with bank-level encryption.
- After enrolment, you’ll receive a confirmation email, and your access credentials will be delivered separately once your course materials are prepared - ensuring accuracy and a smooth start.
30-day satisfied or refunded guarantee - if this course doesn’t meet your expectations, contact us anytime within 30 days for a full refund. No forms. No hassle. Your investment is completely risk-free. “Will This Work for Me?” - We’ve Got You Covered.
You might be thinking: I’m not a data scientist. My company resists change. My industry is highly regulated. The legacy systems are a mess. What if I don’t have executive support? Yes, this works - even if: - You work in healthcare, finance, manufacturing, or public sector with complex compliance demands.
- You’re a mid-level analyst or manager without formal authority but tasked with improving data outcomes.
- Your organisation uses legacy ERP systems or hybrid cloud environments.
- You’ve tried internal data initiatives before and seen them stall.
- You need to prove ROI quickly to justify investment.
Jamal R., Senior Compliance Officer at a multinational bank, used this course to build an ISO 8000-aligned data lineage framework despite zero initial budget. Within four months, he secured funding by demonstrating reduced regulatory risk, improved audit scores, and a 30% drop in manual reconciliation work - all documented using course tools. This course eliminates the guesswork. It gives you the exact language, procedures, and templates to turn data quality from a technical task into a strategic asset. Your success is baked into every module.
Extensive and Detailed Course Curriculum
Module 1: Foundations of ISO 8000 and Data Quality Governance - Understanding the global need for standardised data quality
- History and evolution of ISO 8000 and its role in the ISO standards ecosystem
- Key principles of data quality as defined by ISO 8000
- Differentiating ISO 8000 from ISO 8000-61, 8000-116, and related sub-standards
- Core terminology: data, information, quality, conformance, traceability
- Defining “data quality excellence” in operational terms
- The business impact of poor data quality across industries
- Linking data quality to business KPIs: revenue, cost, risk
- Mapping ISO 8000 to other frameworks: ISO 9000, COBIT, DAMA-DMBOK
- Role of metadata in establishing data quality foundations
- Understanding master data, reference data, and transaction data in ISO context
- Identifying data ownership and stewardship at the enterprise level
- Assessing organisational readiness for ISO 8000 implementation
- Creating a baseline data quality maturity assessment
- Using the ISO 8000 Readiness Scorecard to identify gaps
Module 2: ISO 8000 Core Requirements and Compliance Structure - Detailed breakdown of ISO 8000 clauses and sub-clauses
- Requirement 1: Data quality policy and governance framework
- Requirement 2: Data quality objectives and measurable targets
- Requirement 3: Roles and responsibilities for data quality
- Requirement 4: Data quality planning and resource allocation
- Requirement 5: Data specification and conformance criteria
- Requirement 6: Data validation and verification procedures
- Requirement 7: Data documentation and metadata management
- Requirement 8: Data quality monitoring and measurement
- Requirement 9: Corrective and preventive actions
- Requirement 10: Internal audit and management review
- Requirement 11: Continuous improvement of data quality
- Requirement 12: Record control and retention policies
- Mapping each requirement to real-world business processes
- Aligning ISO 8000 requirements with internal compliance mandates
Module 3: Data Quality Dimensions and Metrics in ISO 8000 - Completeness: definition, measurement, and validation techniques
- Accuracy: sourcing, verification, and reconciliation protocols
- Consistency: cross-system and cross-department alignment
- Timeliness: data freshness and update frequency benchmarks
- Uniqueness: identifying and eliminating duplicate records
- Validity: ensuring data conforms to defined formats and ranges
- Traceability: establishing data lineage and source accountability
- Definability: clarity of meaning and context for data elements
- Developing ISO 8000-compliant data quality scorecards
- Setting thresholds for acceptable data quality levels
- Creating data quality dashboards for executive reporting
- Automating data quality metrics without requiring complex tools
- Using error profiling to prioritise data cleaning efforts
- Linking dimension metrics to business outcomes and risk exposure
- Calibrating metrics for different departments: finance, HR, supply chain
Module 4: Data Specification and Conformance to ISO 8000-61 - Overview of ISO 8000-61: data quality in exchange
- Defining data specifications for internal and external use
- Creating data dictionaries aligned with ISO 8000 standards
- Structuring data elements with unique identifiers
- Defining data types, formats, and value domains
- Establishing mandatory vs. optional data fields
- Incorporating validation rules into data specifications
- Documenting data sources and collection methods
- Specifying metadata requirements for every data element
- Version control for data specifications
- Sharing specifications across departments and systems
- External data exchange protocols with partners and vendors
- Using conformance statements to prove compliance
- Creating supplier data quality agreements using ISO 8000
- Validating third-party data against your specifications
Module 5: Designing a Data Quality Management System (DQMS) - What is a DQMS and how it integrates with ISO 8000
- Structuring the DQMS: policy, processes, documentation, roles
- Developing the data quality policy statement
- Setting measurable data quality objectives
- Defining roles: Data Owner, Data Steward, Data Custodian
- Creating a Data Governance Council aligned with ISO standards
- Designing data quality workflows and escalation paths
- Integrating DQMS with existing IT and governance frameworks
- Documenting procedures for data creation, modification, and retirement
- Establishing data quality procedures for onboarding and migration
- Linking DQMS to change management processes
- Developing SOPs for data quality reviews and audits
- Creating a data quality risk register
- Using control self-assessment techniques for DQ compliance
- Building a culture of data accountability across the organisation
Module 6: Data Validation and Verification Protocols - Difference between validation and verification in ISO 8000 context
- Designing automated validation rules using simple logic
- Manual verification techniques for complex or sensitive data
- Sampling methods for large data sets
- Designing data quality testing scripts
- Running conformance tests against data specifications
- Documenting validation results and exceptions
- Establishing thresholds for data acceptance and rejection
- Using peer review and checklist-based verification
- Automating data validation with rule-based checks
- Integrating validation into data entry and ingestion workflows
- Creating repeatable validation cycles for ongoing compliance
- Developing exception handling procedures
- Tracking and resolving validation failures
- Reporting validation outcomes to governance teams
Module 7: Data Quality Monitoring and Continuous Improvement - Designing ongoing data quality monitoring plans
- Setting up regular data audits and health checks
- Using sampling and trend analysis to detect degradation
- Creating automated alerting for data quality anomalies
- Measuring the impact of data fixes over time
- Applying PDCA (Plan-Do-Check-Act) to data quality
- Conducting root cause analysis of data errors
- Implementing corrective actions with accountability
- Preventing recurrence through process redesign
- Using feedback loops to improve data entry
- Integrating data quality into DevOps and CI/CD pipelines
- Updating data specifications based on monitoring insights
- Reporting trends to executive leadership
- Adjusting data quality objectives based on business changes
- Embedding continuous improvement into organisational culture
Module 8: Internal Audits and Management Review for ISO 8000 - Preparing for an ISO 8000 internal audit
- Developing the audit checklist aligned with ISO requirements
- Selecting and training internal auditors
- Conducting opening and closing audit meetings
- Gathering objective evidence of compliance
- Identifying non-conformities and opportunities for improvement
- Writing audit reports and corrective action requests
- Tracking audit findings to closure
- Presenting audit results to senior management
- Conducting the management review meeting
- Reviewing KPIs, audit results, and resource adequacy
- Documenting management decisions and action plans
- Ensuring audit independence and objectivity
- Integrating audit findings into strategic planning
- Preparing for external certification audits
Module 9: Practical Implementation Roadmaps and Project Planning - Phased rollout strategies for ISO 8000 adoption
- Defining the project scope and boundaries
- Securing executive sponsorship and funding
- Building a project team with clear roles
- Developing a detailed project timeline with milestones
- Using Gantt charts and work breakdown structures
- Managing stakeholder expectations and communication
- Running pilot implementations in low-risk departments
- Measuring pilot success and scaling up
- Integrating the roadmap with IT and business transformation plans
- Managing change resistance and cultural barriers
- Creating communication plans for data quality awareness
- Developing training materials for data entry roles
- Documenting lessons learned and best practices
- Creating a handover plan for ongoing operations
Module 10: Certification, Audit Readiness, and Global Recognition - Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
Module 1: Foundations of ISO 8000 and Data Quality Governance - Understanding the global need for standardised data quality
- History and evolution of ISO 8000 and its role in the ISO standards ecosystem
- Key principles of data quality as defined by ISO 8000
- Differentiating ISO 8000 from ISO 8000-61, 8000-116, and related sub-standards
- Core terminology: data, information, quality, conformance, traceability
- Defining “data quality excellence” in operational terms
- The business impact of poor data quality across industries
- Linking data quality to business KPIs: revenue, cost, risk
- Mapping ISO 8000 to other frameworks: ISO 9000, COBIT, DAMA-DMBOK
- Role of metadata in establishing data quality foundations
- Understanding master data, reference data, and transaction data in ISO context
- Identifying data ownership and stewardship at the enterprise level
- Assessing organisational readiness for ISO 8000 implementation
- Creating a baseline data quality maturity assessment
- Using the ISO 8000 Readiness Scorecard to identify gaps
Module 2: ISO 8000 Core Requirements and Compliance Structure - Detailed breakdown of ISO 8000 clauses and sub-clauses
- Requirement 1: Data quality policy and governance framework
- Requirement 2: Data quality objectives and measurable targets
- Requirement 3: Roles and responsibilities for data quality
- Requirement 4: Data quality planning and resource allocation
- Requirement 5: Data specification and conformance criteria
- Requirement 6: Data validation and verification procedures
- Requirement 7: Data documentation and metadata management
- Requirement 8: Data quality monitoring and measurement
- Requirement 9: Corrective and preventive actions
- Requirement 10: Internal audit and management review
- Requirement 11: Continuous improvement of data quality
- Requirement 12: Record control and retention policies
- Mapping each requirement to real-world business processes
- Aligning ISO 8000 requirements with internal compliance mandates
Module 3: Data Quality Dimensions and Metrics in ISO 8000 - Completeness: definition, measurement, and validation techniques
- Accuracy: sourcing, verification, and reconciliation protocols
- Consistency: cross-system and cross-department alignment
- Timeliness: data freshness and update frequency benchmarks
- Uniqueness: identifying and eliminating duplicate records
- Validity: ensuring data conforms to defined formats and ranges
- Traceability: establishing data lineage and source accountability
- Definability: clarity of meaning and context for data elements
- Developing ISO 8000-compliant data quality scorecards
- Setting thresholds for acceptable data quality levels
- Creating data quality dashboards for executive reporting
- Automating data quality metrics without requiring complex tools
- Using error profiling to prioritise data cleaning efforts
- Linking dimension metrics to business outcomes and risk exposure
- Calibrating metrics for different departments: finance, HR, supply chain
Module 4: Data Specification and Conformance to ISO 8000-61 - Overview of ISO 8000-61: data quality in exchange
- Defining data specifications for internal and external use
- Creating data dictionaries aligned with ISO 8000 standards
- Structuring data elements with unique identifiers
- Defining data types, formats, and value domains
- Establishing mandatory vs. optional data fields
- Incorporating validation rules into data specifications
- Documenting data sources and collection methods
- Specifying metadata requirements for every data element
- Version control for data specifications
- Sharing specifications across departments and systems
- External data exchange protocols with partners and vendors
- Using conformance statements to prove compliance
- Creating supplier data quality agreements using ISO 8000
- Validating third-party data against your specifications
Module 5: Designing a Data Quality Management System (DQMS) - What is a DQMS and how it integrates with ISO 8000
- Structuring the DQMS: policy, processes, documentation, roles
- Developing the data quality policy statement
- Setting measurable data quality objectives
- Defining roles: Data Owner, Data Steward, Data Custodian
- Creating a Data Governance Council aligned with ISO standards
- Designing data quality workflows and escalation paths
- Integrating DQMS with existing IT and governance frameworks
- Documenting procedures for data creation, modification, and retirement
- Establishing data quality procedures for onboarding and migration
- Linking DQMS to change management processes
- Developing SOPs for data quality reviews and audits
- Creating a data quality risk register
- Using control self-assessment techniques for DQ compliance
- Building a culture of data accountability across the organisation
Module 6: Data Validation and Verification Protocols - Difference between validation and verification in ISO 8000 context
- Designing automated validation rules using simple logic
- Manual verification techniques for complex or sensitive data
- Sampling methods for large data sets
- Designing data quality testing scripts
- Running conformance tests against data specifications
- Documenting validation results and exceptions
- Establishing thresholds for data acceptance and rejection
- Using peer review and checklist-based verification
- Automating data validation with rule-based checks
- Integrating validation into data entry and ingestion workflows
- Creating repeatable validation cycles for ongoing compliance
- Developing exception handling procedures
- Tracking and resolving validation failures
- Reporting validation outcomes to governance teams
Module 7: Data Quality Monitoring and Continuous Improvement - Designing ongoing data quality monitoring plans
- Setting up regular data audits and health checks
- Using sampling and trend analysis to detect degradation
- Creating automated alerting for data quality anomalies
- Measuring the impact of data fixes over time
- Applying PDCA (Plan-Do-Check-Act) to data quality
- Conducting root cause analysis of data errors
- Implementing corrective actions with accountability
- Preventing recurrence through process redesign
- Using feedback loops to improve data entry
- Integrating data quality into DevOps and CI/CD pipelines
- Updating data specifications based on monitoring insights
- Reporting trends to executive leadership
- Adjusting data quality objectives based on business changes
- Embedding continuous improvement into organisational culture
Module 8: Internal Audits and Management Review for ISO 8000 - Preparing for an ISO 8000 internal audit
- Developing the audit checklist aligned with ISO requirements
- Selecting and training internal auditors
- Conducting opening and closing audit meetings
- Gathering objective evidence of compliance
- Identifying non-conformities and opportunities for improvement
- Writing audit reports and corrective action requests
- Tracking audit findings to closure
- Presenting audit results to senior management
- Conducting the management review meeting
- Reviewing KPIs, audit results, and resource adequacy
- Documenting management decisions and action plans
- Ensuring audit independence and objectivity
- Integrating audit findings into strategic planning
- Preparing for external certification audits
Module 9: Practical Implementation Roadmaps and Project Planning - Phased rollout strategies for ISO 8000 adoption
- Defining the project scope and boundaries
- Securing executive sponsorship and funding
- Building a project team with clear roles
- Developing a detailed project timeline with milestones
- Using Gantt charts and work breakdown structures
- Managing stakeholder expectations and communication
- Running pilot implementations in low-risk departments
- Measuring pilot success and scaling up
- Integrating the roadmap with IT and business transformation plans
- Managing change resistance and cultural barriers
- Creating communication plans for data quality awareness
- Developing training materials for data entry roles
- Documenting lessons learned and best practices
- Creating a handover plan for ongoing operations
Module 10: Certification, Audit Readiness, and Global Recognition - Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
- Detailed breakdown of ISO 8000 clauses and sub-clauses
- Requirement 1: Data quality policy and governance framework
- Requirement 2: Data quality objectives and measurable targets
- Requirement 3: Roles and responsibilities for data quality
- Requirement 4: Data quality planning and resource allocation
- Requirement 5: Data specification and conformance criteria
- Requirement 6: Data validation and verification procedures
- Requirement 7: Data documentation and metadata management
- Requirement 8: Data quality monitoring and measurement
- Requirement 9: Corrective and preventive actions
- Requirement 10: Internal audit and management review
- Requirement 11: Continuous improvement of data quality
- Requirement 12: Record control and retention policies
- Mapping each requirement to real-world business processes
- Aligning ISO 8000 requirements with internal compliance mandates
Module 3: Data Quality Dimensions and Metrics in ISO 8000 - Completeness: definition, measurement, and validation techniques
- Accuracy: sourcing, verification, and reconciliation protocols
- Consistency: cross-system and cross-department alignment
- Timeliness: data freshness and update frequency benchmarks
- Uniqueness: identifying and eliminating duplicate records
- Validity: ensuring data conforms to defined formats and ranges
- Traceability: establishing data lineage and source accountability
- Definability: clarity of meaning and context for data elements
- Developing ISO 8000-compliant data quality scorecards
- Setting thresholds for acceptable data quality levels
- Creating data quality dashboards for executive reporting
- Automating data quality metrics without requiring complex tools
- Using error profiling to prioritise data cleaning efforts
- Linking dimension metrics to business outcomes and risk exposure
- Calibrating metrics for different departments: finance, HR, supply chain
Module 4: Data Specification and Conformance to ISO 8000-61 - Overview of ISO 8000-61: data quality in exchange
- Defining data specifications for internal and external use
- Creating data dictionaries aligned with ISO 8000 standards
- Structuring data elements with unique identifiers
- Defining data types, formats, and value domains
- Establishing mandatory vs. optional data fields
- Incorporating validation rules into data specifications
- Documenting data sources and collection methods
- Specifying metadata requirements for every data element
- Version control for data specifications
- Sharing specifications across departments and systems
- External data exchange protocols with partners and vendors
- Using conformance statements to prove compliance
- Creating supplier data quality agreements using ISO 8000
- Validating third-party data against your specifications
Module 5: Designing a Data Quality Management System (DQMS) - What is a DQMS and how it integrates with ISO 8000
- Structuring the DQMS: policy, processes, documentation, roles
- Developing the data quality policy statement
- Setting measurable data quality objectives
- Defining roles: Data Owner, Data Steward, Data Custodian
- Creating a Data Governance Council aligned with ISO standards
- Designing data quality workflows and escalation paths
- Integrating DQMS with existing IT and governance frameworks
- Documenting procedures for data creation, modification, and retirement
- Establishing data quality procedures for onboarding and migration
- Linking DQMS to change management processes
- Developing SOPs for data quality reviews and audits
- Creating a data quality risk register
- Using control self-assessment techniques for DQ compliance
- Building a culture of data accountability across the organisation
Module 6: Data Validation and Verification Protocols - Difference between validation and verification in ISO 8000 context
- Designing automated validation rules using simple logic
- Manual verification techniques for complex or sensitive data
- Sampling methods for large data sets
- Designing data quality testing scripts
- Running conformance tests against data specifications
- Documenting validation results and exceptions
- Establishing thresholds for data acceptance and rejection
- Using peer review and checklist-based verification
- Automating data validation with rule-based checks
- Integrating validation into data entry and ingestion workflows
- Creating repeatable validation cycles for ongoing compliance
- Developing exception handling procedures
- Tracking and resolving validation failures
- Reporting validation outcomes to governance teams
Module 7: Data Quality Monitoring and Continuous Improvement - Designing ongoing data quality monitoring plans
- Setting up regular data audits and health checks
- Using sampling and trend analysis to detect degradation
- Creating automated alerting for data quality anomalies
- Measuring the impact of data fixes over time
- Applying PDCA (Plan-Do-Check-Act) to data quality
- Conducting root cause analysis of data errors
- Implementing corrective actions with accountability
- Preventing recurrence through process redesign
- Using feedback loops to improve data entry
- Integrating data quality into DevOps and CI/CD pipelines
- Updating data specifications based on monitoring insights
- Reporting trends to executive leadership
- Adjusting data quality objectives based on business changes
- Embedding continuous improvement into organisational culture
Module 8: Internal Audits and Management Review for ISO 8000 - Preparing for an ISO 8000 internal audit
- Developing the audit checklist aligned with ISO requirements
- Selecting and training internal auditors
- Conducting opening and closing audit meetings
- Gathering objective evidence of compliance
- Identifying non-conformities and opportunities for improvement
- Writing audit reports and corrective action requests
- Tracking audit findings to closure
- Presenting audit results to senior management
- Conducting the management review meeting
- Reviewing KPIs, audit results, and resource adequacy
- Documenting management decisions and action plans
- Ensuring audit independence and objectivity
- Integrating audit findings into strategic planning
- Preparing for external certification audits
Module 9: Practical Implementation Roadmaps and Project Planning - Phased rollout strategies for ISO 8000 adoption
- Defining the project scope and boundaries
- Securing executive sponsorship and funding
- Building a project team with clear roles
- Developing a detailed project timeline with milestones
- Using Gantt charts and work breakdown structures
- Managing stakeholder expectations and communication
- Running pilot implementations in low-risk departments
- Measuring pilot success and scaling up
- Integrating the roadmap with IT and business transformation plans
- Managing change resistance and cultural barriers
- Creating communication plans for data quality awareness
- Developing training materials for data entry roles
- Documenting lessons learned and best practices
- Creating a handover plan for ongoing operations
Module 10: Certification, Audit Readiness, and Global Recognition - Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
- Overview of ISO 8000-61: data quality in exchange
- Defining data specifications for internal and external use
- Creating data dictionaries aligned with ISO 8000 standards
- Structuring data elements with unique identifiers
- Defining data types, formats, and value domains
- Establishing mandatory vs. optional data fields
- Incorporating validation rules into data specifications
- Documenting data sources and collection methods
- Specifying metadata requirements for every data element
- Version control for data specifications
- Sharing specifications across departments and systems
- External data exchange protocols with partners and vendors
- Using conformance statements to prove compliance
- Creating supplier data quality agreements using ISO 8000
- Validating third-party data against your specifications
Module 5: Designing a Data Quality Management System (DQMS) - What is a DQMS and how it integrates with ISO 8000
- Structuring the DQMS: policy, processes, documentation, roles
- Developing the data quality policy statement
- Setting measurable data quality objectives
- Defining roles: Data Owner, Data Steward, Data Custodian
- Creating a Data Governance Council aligned with ISO standards
- Designing data quality workflows and escalation paths
- Integrating DQMS with existing IT and governance frameworks
- Documenting procedures for data creation, modification, and retirement
- Establishing data quality procedures for onboarding and migration
- Linking DQMS to change management processes
- Developing SOPs for data quality reviews and audits
- Creating a data quality risk register
- Using control self-assessment techniques for DQ compliance
- Building a culture of data accountability across the organisation
Module 6: Data Validation and Verification Protocols - Difference between validation and verification in ISO 8000 context
- Designing automated validation rules using simple logic
- Manual verification techniques for complex or sensitive data
- Sampling methods for large data sets
- Designing data quality testing scripts
- Running conformance tests against data specifications
- Documenting validation results and exceptions
- Establishing thresholds for data acceptance and rejection
- Using peer review and checklist-based verification
- Automating data validation with rule-based checks
- Integrating validation into data entry and ingestion workflows
- Creating repeatable validation cycles for ongoing compliance
- Developing exception handling procedures
- Tracking and resolving validation failures
- Reporting validation outcomes to governance teams
Module 7: Data Quality Monitoring and Continuous Improvement - Designing ongoing data quality monitoring plans
- Setting up regular data audits and health checks
- Using sampling and trend analysis to detect degradation
- Creating automated alerting for data quality anomalies
- Measuring the impact of data fixes over time
- Applying PDCA (Plan-Do-Check-Act) to data quality
- Conducting root cause analysis of data errors
- Implementing corrective actions with accountability
- Preventing recurrence through process redesign
- Using feedback loops to improve data entry
- Integrating data quality into DevOps and CI/CD pipelines
- Updating data specifications based on monitoring insights
- Reporting trends to executive leadership
- Adjusting data quality objectives based on business changes
- Embedding continuous improvement into organisational culture
Module 8: Internal Audits and Management Review for ISO 8000 - Preparing for an ISO 8000 internal audit
- Developing the audit checklist aligned with ISO requirements
- Selecting and training internal auditors
- Conducting opening and closing audit meetings
- Gathering objective evidence of compliance
- Identifying non-conformities and opportunities for improvement
- Writing audit reports and corrective action requests
- Tracking audit findings to closure
- Presenting audit results to senior management
- Conducting the management review meeting
- Reviewing KPIs, audit results, and resource adequacy
- Documenting management decisions and action plans
- Ensuring audit independence and objectivity
- Integrating audit findings into strategic planning
- Preparing for external certification audits
Module 9: Practical Implementation Roadmaps and Project Planning - Phased rollout strategies for ISO 8000 adoption
- Defining the project scope and boundaries
- Securing executive sponsorship and funding
- Building a project team with clear roles
- Developing a detailed project timeline with milestones
- Using Gantt charts and work breakdown structures
- Managing stakeholder expectations and communication
- Running pilot implementations in low-risk departments
- Measuring pilot success and scaling up
- Integrating the roadmap with IT and business transformation plans
- Managing change resistance and cultural barriers
- Creating communication plans for data quality awareness
- Developing training materials for data entry roles
- Documenting lessons learned and best practices
- Creating a handover plan for ongoing operations
Module 10: Certification, Audit Readiness, and Global Recognition - Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
- Difference between validation and verification in ISO 8000 context
- Designing automated validation rules using simple logic
- Manual verification techniques for complex or sensitive data
- Sampling methods for large data sets
- Designing data quality testing scripts
- Running conformance tests against data specifications
- Documenting validation results and exceptions
- Establishing thresholds for data acceptance and rejection
- Using peer review and checklist-based verification
- Automating data validation with rule-based checks
- Integrating validation into data entry and ingestion workflows
- Creating repeatable validation cycles for ongoing compliance
- Developing exception handling procedures
- Tracking and resolving validation failures
- Reporting validation outcomes to governance teams
Module 7: Data Quality Monitoring and Continuous Improvement - Designing ongoing data quality monitoring plans
- Setting up regular data audits and health checks
- Using sampling and trend analysis to detect degradation
- Creating automated alerting for data quality anomalies
- Measuring the impact of data fixes over time
- Applying PDCA (Plan-Do-Check-Act) to data quality
- Conducting root cause analysis of data errors
- Implementing corrective actions with accountability
- Preventing recurrence through process redesign
- Using feedback loops to improve data entry
- Integrating data quality into DevOps and CI/CD pipelines
- Updating data specifications based on monitoring insights
- Reporting trends to executive leadership
- Adjusting data quality objectives based on business changes
- Embedding continuous improvement into organisational culture
Module 8: Internal Audits and Management Review for ISO 8000 - Preparing for an ISO 8000 internal audit
- Developing the audit checklist aligned with ISO requirements
- Selecting and training internal auditors
- Conducting opening and closing audit meetings
- Gathering objective evidence of compliance
- Identifying non-conformities and opportunities for improvement
- Writing audit reports and corrective action requests
- Tracking audit findings to closure
- Presenting audit results to senior management
- Conducting the management review meeting
- Reviewing KPIs, audit results, and resource adequacy
- Documenting management decisions and action plans
- Ensuring audit independence and objectivity
- Integrating audit findings into strategic planning
- Preparing for external certification audits
Module 9: Practical Implementation Roadmaps and Project Planning - Phased rollout strategies for ISO 8000 adoption
- Defining the project scope and boundaries
- Securing executive sponsorship and funding
- Building a project team with clear roles
- Developing a detailed project timeline with milestones
- Using Gantt charts and work breakdown structures
- Managing stakeholder expectations and communication
- Running pilot implementations in low-risk departments
- Measuring pilot success and scaling up
- Integrating the roadmap with IT and business transformation plans
- Managing change resistance and cultural barriers
- Creating communication plans for data quality awareness
- Developing training materials for data entry roles
- Documenting lessons learned and best practices
- Creating a handover plan for ongoing operations
Module 10: Certification, Audit Readiness, and Global Recognition - Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
- Preparing for an ISO 8000 internal audit
- Developing the audit checklist aligned with ISO requirements
- Selecting and training internal auditors
- Conducting opening and closing audit meetings
- Gathering objective evidence of compliance
- Identifying non-conformities and opportunities for improvement
- Writing audit reports and corrective action requests
- Tracking audit findings to closure
- Presenting audit results to senior management
- Conducting the management review meeting
- Reviewing KPIs, audit results, and resource adequacy
- Documenting management decisions and action plans
- Ensuring audit independence and objectivity
- Integrating audit findings into strategic planning
- Preparing for external certification audits
Module 9: Practical Implementation Roadmaps and Project Planning - Phased rollout strategies for ISO 8000 adoption
- Defining the project scope and boundaries
- Securing executive sponsorship and funding
- Building a project team with clear roles
- Developing a detailed project timeline with milestones
- Using Gantt charts and work breakdown structures
- Managing stakeholder expectations and communication
- Running pilot implementations in low-risk departments
- Measuring pilot success and scaling up
- Integrating the roadmap with IT and business transformation plans
- Managing change resistance and cultural barriers
- Creating communication plans for data quality awareness
- Developing training materials for data entry roles
- Documenting lessons learned and best practices
- Creating a handover plan for ongoing operations
Module 10: Certification, Audit Readiness, and Global Recognition - Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
- Preparing for third-party ISO 8000 certification
- Selecting a recognised certification body
- Understanding the certification audit process
- Compiling the ISO 8000 documentation portfolio
- Responding to auditor questions and findings
- Conducting pre-audit readiness assessments
- Maintaining certification through surveillance audits
- Re-certification cycles and scope extensions
- Leveraging certification in RFPs and tenders
- Using certification to enhance brand trust and partnership opportunities
- Demonstrating due diligence in regulatory investigations
- Marketing ISO 8000 certification internally and externally
- Building investor and customer confidence through data governance
- Using certification as a competitive differentiator
- Tracking ROI of certification across operational and strategic areas
Module 11: Real-World Projects and Case Applications - Project 1: Implementing ISO 8000 for customer master data
- Project 2: Aligning supplier data with ISO 8000-61 for procurement
- Project 3: Improving financial data quality for audit readiness
- Project 4: Standardising product data across global regions
- Project 5: Enhancing employee data consistency for HR systems
- Project 6: Ensuring clinical trial data integrity in healthcare
- Creating a data quality register for high-risk datasets
- Developing a data quality improvement plan with KPIs
- Writing a board-ready data quality business case
- Building a certification roadmap with timelines and resources
- Conducting a gap analysis against ISO 8000 requirements
- Creating a data cleansing and migration strategy
- Designing a data quality training program
- Developing executive dashboards for ongoing monitoring
- Presenting a final certification readiness review
Module 12: Certification, Career Advancement, and Next Steps - Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days
- Overview of the Certificate of Completion issued by The Art of Service
- How to list your certification on LinkedIn and CVs
- Using the certification to support promotions or job transitions
- Connecting with other ISO 8000 professionals globally
- Accessing The Art of Service alumni network and resources
- Finding consulting and freelance opportunities using ISO expertise
- Preparing for advanced roles: Data Governance Manager, Chief Data Officer
- Using your certification to lead enterprise-wide initiatives
- Building a personal brand as a data quality authority
- Access to lifetime curriculum updates and community forums
- Receiving invitations to exclusive industry roundtables
- How to maintain and showcase ongoing compliance
- Using gamified progress tracking to stay motivated
- Leveraging mobile access for continuous learning
- Final review: from concept to certified data quality excellence in 90 days