Digital Transformation Strategy and Governance Training Course

Participants can assess current digital capabilities and identify priority gaps supported by evidence.

• Capability maturity model assesses strategy, culture, data, technology and governance
• Evidence collection combines interviews, artefact review, metrics and user research
• Customer journey mapping exposes friction, handoffs, delays and service failures
• Process mining concepts identify variation, rework, bottlenecks and compliance exceptions
• Legacy application inventories reveal technical debt, integration gaps and support risks
• Heat maps rank capability gaps by strategic importance and urgency

Participants can analyse external drivers and stakeholder needs to shape transformation priorities.

• PESTLE analysis identifies policy, economic, social and technology change drivers
• Porter's Five Forces tests digital disruption and competitive pressure
• Stakeholder mapping classifies influence, interest, impact and engagement requirements
• Voice-of-customer evidence converts user needs into measurable service outcomes
• Regulatory obligations mapped to transformation objectives, controls and delivery constraints
• Value proposition canvas connects customer jobs, pains and digital services

Participants can develop a transformation vision and strategic themes that guide investment choices.

• Vision statements describe future services, capabilities and measurable organisational outcomes
• Design principles guide decisions on user experience, interoperability and reuse
• Strategic themes group initiatives around outcomes rather than technology purchases
• North-star metrics connect transformation ambition with observable long-term performance
• OKRs translate strategic themes into quarterly objectives and key results
• Strategic narrative aligns executive sponsors, delivery teams and affected stakeholders

Participants can identify digital business model options and redesign services around user outcomes.

• Business model canvas tests value propositions, channels, partners and revenue logic
• Platform models assess network effects, governance rules and participant incentives
• Service blueprinting maps frontstage interactions, backstage processes and supporting systems
• Jobs-to-be-Done identifies functional, emotional and social customer requirements
• Omnichannel service design aligns physical, digital and assisted service routes
• Minimum viable service concepts test assumptions before major implementation commitments

Participants can design a target operating model for coordinated digital service delivery.

• Target operating model covers processes, organisation, technology, data and governance
• Operating model canvas defines customer segments, value streams and capabilities
• Value-stream mapping identifies handoffs, controls, queues and ownership boundaries
• Product operating model assigns enduring teams to measurable customer outcomes
• RACI matrices clarify accountabilities across business, technology and assurance functions
• Shared services decisions compare centralised, federated and hybrid delivery models

Participants can use enterprise architecture views to guide transformation sequencing and technology decisions.

• TOGAF architecture development method structures baseline, target and transition architectures
• Business architecture links capabilities, value streams, services and strategic outcomes
• Application portfolio analysis classifies invest, tolerate, migrate and retire decisions
• Data architecture defines domains, master data, metadata and information flows
• Technology reference architectures set standards for cloud, integration and platforms
• Architecture roadmaps expose dependencies between capabilities, systems and migration releases

Participants can define data governance arrangements and prioritise data products supporting transformation goals.

• Data strategy connects priority decisions, data domains and measurable business value
• Data governance assigns owners, stewards, custodians and accountable executives
• DAMA data management principles cover quality, metadata, security and lifecycle
• Data quality dimensions measure accuracy, completeness, timeliness, consistency and validity
• Data product canvases specify consumers, outcomes, inputs, service levels and ownership
• Privacy-by-design embeds lawful processing, minimisation and retention requirements early

Participants can evaluate technology sourcing options against strategic, risk and operating requirements.

• Cloud adoption frameworks compare public, private, hybrid and sovereign cloud options
• Build-buy-partner analysis tests strategic control, cost, speed and capability needs
• Platform strategy evaluates shared components, APIs, marketplaces and developer ecosystems
• Total cost of ownership includes migration, integration, licences, operations and exit
• Vendor due diligence examines financial stability, delivery capacity and subcontractors
• Exit plans address data portability, transition support and contractual termination rights

Participants can integrate cyber security, resilience and risk treatment into transformation governance.

• NIST Cybersecurity Framework 2.0 structures govern, identify, protect, detect, respond
• Threat modelling identifies assets, threat actors, attack paths and mitigations
• Risk registers record likelihood, impact, ownership, treatment and residual exposure
• Security-by-design requirements enter discovery, procurement, architecture and delivery gates
• Business continuity analysis prioritises critical services, recovery objectives and dependencies
• Third-party cyber assessments examine access controls, monitoring and incident notification

Participants can construct and prioritise a balanced transformation portfolio using explicit decision criteria.

• Initiative inventories capture objectives, scope, owners, costs, benefits and dependencies
• Weighted scoring models compare strategic fit, value, risk, urgency and feasibility
• WSJF prioritisation considers cost of delay, duration and risk reduction
• Dependency mapping reveals sequencing constraints across platforms, data and organisational change
• Portfolio balancing considers quick wins, foundational capabilities and strategic bets
• Scenario planning tests portfolio choices under funding, capacity and regulatory constraints

Participants can develop investment cases and benefits plans suitable for executive decision-making.

• Five-case model structures strategic, economic, commercial, financial and management arguments
• Cost-benefit analysis quantifies cashable savings, avoided costs and service improvements
• Benefits dependency networks link enablers, change actions, outcomes and measures
• Baseline measures establish credible starting points before transformation investment approval
• Sensitivity analysis tests benefit assumptions against adoption, cost and timing changes
• Benefits owners accept accountability for measurement, action and sustained performance

Participants can establish governance forums, decision rights and controls for transformation oversight.

• COBIT 2019 governance objectives distinguish evaluation, direction and monitoring responsibilities
• Governance charters define membership, authority, cadence, inputs and decision thresholds
• Decision-rights matrices allocate approvals for scope, funding, architecture and risk
• Stage-gate reviews test readiness before investment, build, release and scale
• Escalation paths address unresolved dependencies, risks, conflicts and delivery exceptions
• Management information packs combine milestones, benefits, risks, decisions and forecasts

Participants can govern adaptive delivery without losing strategic control and assurance.

• Agile portfolio management links strategic themes, funding horizons and product backlogs
• Product roadmaps communicate outcomes, releases, assumptions and learning milestones
• Scrum roles distinguish product accountability, delivery facilitation and development responsibility
• Kanban flow metrics measure throughput, work in progress, cycle time and ageing
• DevOps practices connect automation, deployment frequency, observability and service reliability
• Lean governance uses lightweight controls, evidence-based reviews and rapid feedback loops

Participants can plan organisational adoption activities that support sustained transformation outcomes.

• ADKAR assesses awareness, desire, knowledge, ability and reinforcement requirements
• Change impact assessments identify role changes, capability gaps and resistance points
• Stakeholder engagement plans match messages, channels, timing and sponsor actions
• Skills matrices identify digital capability needs across leadership, delivery and operations
• Communities of practice support knowledge sharing, standards adoption and peer learning
• Adoption metrics track active use, proficiency, satisfaction and workarounds

Participants can prepare transformed services for stable operation, support and continual improvement.

• ITIL 4 service value system connects demand, value, practices and continual improvement
• Service transition plans define support models, knowledge transfer and readiness criteria
• Service level agreements specify availability, response, resolution and reporting commitments
• Operational acceptance testing checks monitoring, access, backup and recovery arrangements
• Incident management workflows coordinate detection, triage, communication and resolution
• Continual improvement registers prioritise service issues, opportunities and ownership

Participants can govern suppliers and commercial arrangements supporting digital transformation delivery.

• Procurement strategies distinguish outcomes-based, time-and-materials and fixed-price contracting
• Statements of work define deliverables, acceptance criteria, dependencies and responsibilities
• Supplier scorecards track delivery quality, service levels, risks and improvement actions
• Commercial governance manages change requests, disputes, incentives and contract compliance
• Multi-supplier models clarify integration responsibility, accountability and cross-vendor dependencies
• Knowledge transfer clauses protect organisational capability after supplier engagement ends

Participants can design performance measures and assurance reporting for executive transformation oversight.

• Balanced scorecards connect financial, customer, process and capability performance measures
• Transformation dashboards distinguish leading indicators, lagging outcomes and risk signals
• OKR check-ins review progress, confidence, blockers and revised commitments
• Independent assurance reviews test governance, controls, evidence and delivery health
• Benefits realisation reports compare actual performance against approved baselines and targets
• Board reporting highlights decisions required, exceptions, trade-offs and accountable owners

Participants can create an implementable transformation roadmap with sequencing, resources and control points.

• Roadmap horizons organise immediate actions, capability releases and longer-term outcomes
• Critical path analysis identifies tasks determining the earliest achievable delivery date
• Resource plans estimate roles, capacity, specialist skills and supplier requirements
• Transition architectures sequence legacy retirement, integration, data migration and service releases
• Implementation waves balance value delivery, organisational readiness and technical dependencies
• Milestone plans assign decision gates, accountable owners, evidence and timing

Participants can communicate transformation choices, trade-offs and progress to senior stakeholders.

• Executive briefings structure context, recommendation, evidence, trade-offs and required decisions
• Storytelling with data links performance trends to actions, owners and consequences
• Sponsorship models define visible leadership behaviours, decisions and communication responsibilities
• Conflict resolution techniques address competing priorities, resource claims and accountability disputes
• Negotiation preparation identifies interests, alternatives, concessions and decision limits
• Transformation narratives maintain coherence across strategy, portfolio, governance and delivery

Participants can build, review and present a complete digital transformation strategy and governance pack.

• Maturity findings synthesised into a concise current-state transformation diagnosis
• Strategic themes converted into prioritised initiatives, value hypotheses and target measures
• Target operating model aligns accountable roles, capabilities, processes and technology choices
• Portfolio roadmap sequences initiatives, dependencies, investment gates and delivery milestones
• Governance design specifies forums, decision rights, reporting and assurance controls
• Benefits plan assigns baselines, measures, owners, review cycles and corrective actions
• Executive presentation communicates recommendations, risks, trade-offs and implementation priorities