Digital Transformation Management

Digital Transformation Management
Training Programme

Digital Transformation Management

Lead digital change by connecting business needs, operating processes, data and workforce capability. Participants assess a current operating model, prioritise opportunities and build a roadmap with measurable benefits and…

Category
Digital, Data and Cybersecurity
Delivery region
Saudi Arabia, GCC and MENA
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Programme Summary

Lead digital change by connecting business needs, operating processes, data and workforce capability. Participants assess a current operating model, prioritise opportunities and build a roadmap with measurable benefits and accountable governance. Practical cases examine adoption, supplier dependencies, cybersecurity and delivery uncertainty, helping managers guide coordinated investments and evaluate whether new digital capabilities improve services and organisational performance.

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Training Objectives

1 Connect digital initiatives with business and service outcomes; 2 Develop practical assessment and prioritisation capabilities; 3 Strengthen governance data and workforce change planning; 4 Improve management of delivery and adoption uncertainty; 5 Support measurable benefits and sustainable operational integration.

03

Learning Outcomes

1 Assess digital opportunities using process and user evidence; 2 Prioritise initiatives with explicit benefits and dependencies; 3 Design a phased transformation roadmap and governance model; 4 Plan workforce adoption and operational risk controls; 5 Define benefits measures and investment review decisions.

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Target Audience

Digital Transformation Managers; Business Unit Managers; Operations Directors; Programme Managers; IT Business Partners; Strategy Managers.

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Target Industries

Manufacturing; Financial Services; Retail and Distribution; Healthcare Administration; Professional Services; Public Services.

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Course Contents

  • Module 1 Digital Transformation Purpose and Scope: Business outcomes and changing stakeholder needs; Digitisation automation and operating model change; Transformation boundaries and executive responsibilities.
  • Module 2 Current State and User Experience: Map services processes and customer journeys; Identify friction delays and information gaps; Evaluate existing capability and operational constraints.
  • Module 3 Opportunity Identification and Prioritisation: Frame business problems before selecting technology; Compare value feasibility risk and dependencies; Build a transparent initiative portfolio.
  • Module 4 Target Operating Model: Roles processes data and technology interfaces; New ways of working and service ownership; Governance decision rights and support arrangements.
  • Module 5 Data and Technology Foundations: Information quality access and integration needs; Architecture dependencies and scalable service choices; Technical debt and realistic readiness assessment.
  • Module 6 Business Cases and Investment Decisions: Benefits costs uncertainty and resource requirements; Compare options pilots and staged commitments; Accountable benefit owners and review criteria.
  • Module 7 Delivery Approaches and Experimentation: Pilot scope learning questions and success criteria; Iterative delivery and controlled change decisions; Manage dependencies and external delivery partners.
  • Module 8 Workforce Capability and Adoption: Stakeholder impacts and participation arrangements; Skills development coaching and practical support; Adoption measures and resistance to change.
  • Module 9 Security Privacy and Responsible Technology: Risk assessment throughout design and implementation; Data protection access and operational resilience; Responsible AI and human decision accountability.
  • Module 10 Supplier and Ecosystem Management: Build buy and partnership considerations; Service expectations data access and exit needs; Supplier performance and concentration risk.
  • Module 11 Benefits Realisation and Performance Review: Measure service performance and user outcomes; Validate claimed savings and unintended consequences; Adjust priorities using credible operational evidence.
  • Module 12 Transformation Roadmap Capstone: Develop a phased roadmap for an organisation; Define governance adoption and risk controls; Present measurable outcomes and review decisions.
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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): Prepare a phased digital transformation roadmap for a supplied organisation, linking three initiatives to benefits, ownership, dependencies, workforce adoption, risk controls and review measures.
  • Assessment criteria: Evidence based opportunity selection and coherent priorities; Feasible governance delivery and adoption arrangements; Measurable benefits and transparent risk assumptions.
  • 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.
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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 digital transformation planning skills; it does not confer a professional designation or guarantee financial or operational benefits.
  • Attendance confirmation may record completed hours for unsuccessful learners; it does not certify successful completion.
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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
Management, project or process improvement experience is recommended. Technical programming expertise is not required; familiarity with business performance measures is helpful.Management, project or process improvement experience is recommended. Technical programming expertise is not required; familiarity with business performance measures is helpful.Management, project or process improvement experience is recommended. Technical programming expertise is not required; familiarity with business performance measures is helpful.
Pre course assignment and assessmentPre course assignment and assessmentPre course assignment and assessment
Review a fictional operating model and complete a 30 minute diagnostic on processes, digital opportunities and adoption challenges.Review a fictional operating model and complete a 30 minute diagnostic on processes, digital opportunities and adoption challenges.Review a fictional operating model and complete a 30 minute diagnostic on processes, digital opportunities and adoption challenges.
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.
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