Data Governance and Data Quality Management

Programme Summary

Create practical governance arrangements that make business data reliable, understandable and accountable. Participants define ownership, critical data, quality rules and issue resolution responsibilities across a data lifecycle. Using a fictional reporting process, they connect metadata, lineage and control evidence with business decisions, producing a focused improvement plan that supports trusted reporting, responsible analytics and effective collaboration between business and technology teams.

Training Objectives

1 Connect data governance with business decision needs; 2 Clarify ownership stewardship and decision rights; 3 Strengthen critical data and metadata management; 4 Develop measurable quality controls and issue resolution; 5 Support sustainable improvement of trusted business information.

Learning Outcomes

1 Define accountable roles for a data domain; 2 Identify critical elements and trace their lineage; 3 Specify measurable data quality rules and thresholds; 4 Prepare a data issue remediation workflow; 5 Present a prioritised governance improvement plan.

Target Audience

Data Governance Managers; Data Stewards; Business Data Owners; Data Quality Analysts; Reporting Managers; Information Managers.

Target Industries

Banking and Insurance; Healthcare Services; Telecommunications; Retail and Distribution; Public Services; Industrial Manufacturing.

Course Contents

• Module 1 Data Governance Purpose and Scope: Business outcomes and critical information decisions; Data domains and governance boundaries; Governance operations and technology distinctions.
• Module 2 Ownership and Stewardship: Accountable data owners and custodians; Steward responsibilities and decision rights; Forums escalation and issue resolution authority.
• Module 3 Critical Data and Business Definitions: Select critical data using business risk; Agree terms metrics and valid meanings; Resolve conflicting definitions across business functions.
• Module 4 Metadata Catalogues and Lineage: Business technical and operational metadata; Source transformation and reporting relationships; Maintain discoverability and reliable lineage evidence.
• Module 5 Data Lifecycle Controls: Creation use sharing retention and disposal; Controls at process and system interfaces; Policy requirements and operational ownership.
• Module 6 Quality Dimensions and Rules: Accuracy completeness validity consistency and timeliness; Define testable rules and acceptable thresholds; Relate quality expectations to intended use.
• Module 7 Profiling and Baseline Assessment: Examine duplicates missing values and anomalies; Distinguish defects from legitimate business variation; Document coverage limitations and baseline quality.
• Module 8 Master and Reference Data: Consistent identifiers and authoritative sources; Controlled reference lists and change ownership; Reconciliation across systems and business processes.
• Module 9 Issue Management and Root Causes: Log defects impact and responsible owners; Trace causes through data producing processes; Verify corrections and prevent recurrence.
• Module 10 Governance Privacy and Security Interfaces: Access classification and purpose restrictions; Data sharing and retention decision interfaces; Escalate obligations to accountable specialist functions.
• Module 11 Measures Adoption and Operating Rhythm: Quality indicators and remediation performance; Stewardship communication and workforce capability; Review benefits and changing information needs.
• Module 12 Data Governance Case Workshop: Map a fictional reporting data flow; Define ownership quality rules and remediation; Present a focused governance improvement proposal.

Assessment

• 60 single best answer questions, including applied scenarios; one mark per question.
• 90 minute invigilated digital examination with identity verification. Approved accessibility adjustments preserve the assessed competence.
• Supplied reference sheets permitted; external AI, messaging and unapproved internet assistance prohibited.
• Individual applied assessment (45 minutes): Define a governance plan for a reporting process, including data ownership, five quality rules, lineage gaps, a remediation workflow and measurable improvement priorities.
• Assessment criteria: Clear accountability and traceable business definitions; Testable quality rules and proportionate control coverage; Feasible remediation ownership and improvement measures.
• Pass each component separately: 45/60 written marks (75%) and at least 70% on the applied task.
• Individual results and feedback are provided. One reassessment may follow coaching under the published enrolment terms.

Certification

• Successful learners receive a TQCSI Arabia digital Certificate of Successful Completion.
• The certificate records the learner name, exact programme title, teaching hours, completion date and unique verification reference.
• Verified identity, full attendance and separate written and applied passes are required; all mandatory critical criteria must be met.
• Proposed issue target: within 30 calendar days of approved results and settlement of applicable fees.
• Records assessed course learning; professional designation, production access and organisational decision authority require separate approval.
• Attendance confirmation may record completed hours for unsuccessful learners; it does not certify successful completion.

Programme Profile

Number of daysNumber of daysNumber of days

333

Total teaching hoursTotal teaching hoursTotal teaching hours

18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.

Delegates allowedDelegates allowedDelegates allowed

Maximum 20 delegates.Maximum 20 delegates.Maximum 20 delegates.

Training prerequisitesTraining prerequisitesTraining prerequisites

Familiarity with business reporting, data processing or information management is recommended. Basic spreadsheet skills are expected; programming is not required.Familiarity with business reporting, data processing or information management is recommended. Basic spreadsheet skills are expected; programming is not required.Familiarity with business reporting, data processing or information management is recommended. Basic spreadsheet skills are expected; programming is not required.

Pre course assignment and assessmentPre course assignment and assessmentPre course assignment and assessment

Review a fictional data flow and complete a 30 minute diagnostic on ownership, definitions and common quality problems.Review a fictional data flow and complete a 30 minute diagnostic on ownership, definitions and common quality problems.Review a fictional data flow and complete a 30 minute diagnostic on ownership, definitions and common quality problems.

End of course assessmentEnd of course assessmentEnd of course assessment

60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).

Passing criteriaPassing criteriaPassing criteria

75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.