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Quest Training

Quality Data Governance & Traceability Training Course

Establishes governance for inspection, test and nonconformity data so quality records stay accurate, traceable and ready to demonstrate compliance.

Q4DX · Quality 4.0 & Digital QualityAll Levels#2880ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Quality Management & Operational ExcellenceCategories:Quality 4.0 & Digital Quality

Course Overview

Quality data governance and traceability are essential for maintaining reliable quality records, supporting evidence-based decisions, and demonstrating compliance with organizational and regulatory requirements. As organizations generate increasing volumes of inspection results, test reports, non-conformity records, and process performance data, effective governance is necessary to ensure that quality information remains accurate, consistent, accessible, secure, and traceable throughout its lifecycle. This course examines the principles and practices of quality data governance, including data ownership, classification, validation, standardization, access control, retention, and change management. Participants will explore methods for establishing traceability across materials, equipment, production activities, inspections, test results, corrective actions, and final product release. The programme also addresses data integrity, audit trails, documentation control, master data management, and the use of digital systems to maintain reliable quality information. Through practical exercises and realistic quality scenarios, participants will develop the skills to establish governance controls, design traceability frameworks, investigate gaps in quality records, and improve the reliability of quality reporting. The course emphasizes practical implementation, accountability, audit readiness, and the integration of quality data governance into quality management systems and continuous improvement initiatives.

Learning Objectives

  • Explain the principles of quality data governance and end-to-end traceability.
  • Establish data ownership, accountability, and decision-making responsibilities.
  • Define quality data standards, classifications, metadata, and documentation requirements.
  • Apply data validation and integrity controls to quality records.
  • Design traceability frameworks linking materials, processes, inspections, tests, and corrective actions.
  • Implement audit trails, version control, and controlled access to quality information.
  • Establish procedures for data retention, retrieval, correction, and change management.
  • Identify and resolve data inconsistencies, missing records, and traceability gaps.
  • Evaluate quality data governance performance through relevant indicators and audits.
  • Develop an implementation roadmap aligned with organizational quality objectives and applicable requirements.

Who Should Attend

Quality Assurance and Quality Control Managers and Engineers Quality Systems and Compliance Professionals Inspection, Testing, and Laboratory Personnel Document Control and Records Management Specialists Manufacturing, Production, and Process Engineers Supply Chain and Materials Quality Professionals Data Governance, Data Management, and Digital Transformation Specialists Internal Auditors and Quality Auditors Managers responsible for quality information, product conformity, and operational accountability

Learning Outcomes

  • Define governance roles and responsibilities for quality data throughout its lifecycle.
  • Establish standardized data definitions, classifications, and quality documentation requirements.
  • Assess data accuracy, completeness, consistency, validity, and accessibility.
  • Apply data integrity controls and maintain reliable electronic quality records.
  • Map traceability links across suppliers, materials, production activities, inspections, and finished products.
  • Maintain traceable relationships between non-conformities, corrective actions, approvals, and verification records.
  • Investigate missing information, inconsistent records, and broken traceability links.
  • Apply access controls, audit trails, version management, and retention procedures.
  • Develop indicators to monitor quality data governance and traceability effectiveness.
  • Prepare a practical governance and traceability improvement plan for a selected process or operational environment.

Course Outline

Day 1

Fundamentals of Quality Data Governance

  • Quality data governance concepts, objectives, and organizational value.
  • The quality data lifecycle: creation, collection, validation, storage, use, retention, and disposal.
  • Data ownership, stewardship, accountability, and approval responsibilities.
  • Quality data classification, standardized definitions, and metadata management.
  • Data quality dimensions: accuracy, completeness, consistency, validity, timeliness, and uniqueness.
  • Governance policies, procedures, and quality documentation requirements.
  • Common governance weaknesses and their impact on quality decisions and compliance.
  • Practical Exercise: Assess a sample quality data environment, identify governance gaps, and assign ownership and accountability for critical quality records.
Day 2

Data Integrity, Standardization, and Records Control

  • Principles of quality data integrity and reliable recordkeeping.
  • Standardizing inspection forms, test reports, defect codes, and quality records.
  • Data validation rules, mandatory fields, controlled vocabularies, and reference data.
  • Managing corrections, revisions, approvals, and changes to quality information.
  • Electronic records, access permissions, audit trails, and version control.
  • Data retention, retrieval, backup, and secure disposal requirements.
  • Managing duplicate, incomplete, inconsistent, and obsolete quality records.
  • Practical Exercise: Review a sample set of quality records, identify data integrity issues, and develop validation and standardization controls.
Day 3

Traceability Frameworks Across Quality Processes

  • Traceability principles and requirements across the product and process lifecycle.
  • Linking suppliers, raw materials, batches, serial numbers, equipment, and production orders.
  • Connecting inspection plans, test results, certificates, and acceptance decisions.
  • Traceability of non-conformities, corrective actions, concessions, and approvals.
  • Lot, batch, serial number, and asset identification methods.
  • Forward and backward traceability for investigations, recalls, and quality incidents.
  • Digital traceability tools, centralized records, barcodes, and QR codes.
  • Practical Exercise: Build a traceability matrix connecting a selected product or process to its materials, production records, inspections, test evidence, and release decision.
Day 4

Quality Data Monitoring, Audits, and Risk Management

  • Monitoring quality data completeness, accuracy, consistency, and traceability coverage.
  • Identifying missing records, broken links, conflicting information, and unauthorized changes.
  • Applying risk-based approaches to data governance and traceability controls.
  • Conducting quality data reviews and traceability audits.
  • Maintaining audit evidence and documenting findings and corrective actions.
  • Investigating quality incidents using linked records and historical data.
  • Defining governance and traceability performance indicators.
  • Practical Exercise: Conduct a simulated traceability audit, identify gaps in the evidence chain, assess associated risks, and propose corrective measures.
Day 5

Digital Integration and Governance Implementation

  • Integrating quality data governance with Quality Management Systems (QMS), Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and laboratory systems.
  • Defining master data structures, data interfaces, and integration responsibilities.
  • Establishing governance procedures for digital quality platforms and shared records.
  • Managing system changes, data migration, and traceability continuity.
  • Developing dashboards and reports for governance and traceability performance.
  • Defining implementation priorities, responsibilities, training, and change management.
  • Building a continuous improvement roadmap and monitoring governance effectiveness.
  • Practical Exercise: Develop an implementation roadmap for a quality data governance and traceability framework, including ownership, standards, controls, system integration, performance indicators, and audit requirements.

Upcoming Dates

Selected date

Istanbul · 25 – 29 Jan 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
AccraScheduled
2 – 6 Nov 2026€5,100—
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AbujaScheduled
2 – 6 Nov 2026€5,100—
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AmmanScheduled
8 – 12 Nov 2026€3,100—
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AmsterdamScheduled
9 – 13 Nov 2026€5,400—
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BakuScheduled
16 – 20 Nov 2026€4,800—
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BangkokScheduled
23 – 27 Nov 2026€6,100€5,490until 2 Nov
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AccraScheduled
30 Nov – 4 Dec 2026€5,100€4,590until 9 Nov
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BarcelonaScheduled
30 Nov – 4 Dec 2026€5,400€4,860until 9 Nov
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BeirutScheduled
6 – 10 Dec 2026€4,000€3,600until 16 Nov
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AmmanScheduled
13 – 17 Dec 2026€3,100€2,790until 23 Nov
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CairoScheduled
13 – 17 Dec 2026€3,300€2,970until 23 Nov
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CasablancaScheduled
21 – 25 Dec 2026€4,300€3,870until 30 Nov
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Cape TownScheduled
21 – 25 Dec 2026€5,100€4,590until 30 Nov
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DammamScheduled
27 – 31 Dec 2026€4,200€3,780until 7 Dec
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DohaScheduled
3 – 7 Jan 2027€4,400€3,960until 14 Dec
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AmsterdamScheduled
4 – 8 Jan 2027€5,400€4,860until 14 Dec
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DubaiScheduled
10 – 14 Jan 2027€4,400€3,960until 21 Dec
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ErbilScheduled
17 – 21 Jan 2027€3,100€2,790until 28 Dec
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IstanbulScheduled
25 – 29 Jan 2027€4,700€4,230until 4 Jan
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JeddahScheduled
31 Jan – 4 Feb 2027€4,200€3,780until 11 Jan
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KigaliScheduled
1 – 5 Feb 2027€5,100€4,590until 11 Jan
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BangkokScheduled
1 – 5 Feb 2027€6,100€5,490until 11 Jan
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Kuala LumpurScheduled
8 – 12 Feb 2027€4,400€3,960until 18 Jan
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LisbonScheduled
15 – 19 Feb 2027€5,400€4,860until 25 Jan
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LondonScheduled
22 – 26 Feb 2027€5,600€5,040until 1 Feb
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BarcelonaScheduled
22 – 26 Feb 2027€5,400€4,860until 1 Feb
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MadridScheduled
1 – 5 Mar 2027€5,400€4,860until 8 Feb
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MakkahScheduled
8 – 12 Mar 2027€4,200€3,780until 15 Feb
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BeirutScheduled
14 – 18 Mar 2027€4,000€3,600until 22 Feb
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ManamaScheduled
15 – 19 Mar 2027€4,700€4,230until 22 Feb
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Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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