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Information Technology in Change Management

$249.00
How you learn:
Self-paced • Lifetime updates
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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Course access is prepared after purchase and delivered via email
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This curriculum spans the integration of IT and change management across a multi-phase transformation program, comparable to an internal capability build for large-scale ERP or digital workplace initiatives.

Module 1: Strategic Alignment of IT and Organizational Change

  • Selecting enterprise change initiatives that require integrated IT capability upgrades to meet revised business objectives.
  • Mapping existing IT service portfolios to current change readiness levels across business units.
  • Defining escalation paths for misaligned IT and business timelines during transformation programs.
  • Conducting joint prioritization sessions between IT leadership and change sponsors to sequence interdependent initiatives.
  • Establishing a shared accountability model for IT delivery and change adoption outcomes in program governance.
  • Integrating IT roadmap milestones into organizational change impact assessments for downstream planning.

Module 2: Change Impact Assessment with IT Dependencies

  • Identifying critical data flows that will be disrupted during ERP module cutover and planning data bridging solutions.
  • Assessing user access changes required in IAM systems when roles are restructured during reorganization.
  • Documenting integration points affected by process automation and coordinating regression testing schedules.
  • Evaluating legacy system retirement risks when decommissioning overlaps with employee retraining cycles.
  • Quantifying downtime tolerance for business-critical applications during infrastructure migration windows.
  • Validating change saturation thresholds in departments undergoing concurrent system and process changes.

Module 3: Technology-Enabled Change Communication

  • Configuring targeted messaging in enterprise intranet platforms based on user role and system access.
  • Deploying in-application guidance tools (e.g., walkthroughs, tooltips) for new software rollouts.
  • Integrating change announcement feeds into collaboration platforms like Teams or Slack for real-time visibility.
  • Setting up automated email triggers for training enrollment based on system provisioning events.
  • Using digital adoption platform analytics to identify communication gaps in low-engagement user segments.
  • Managing version-controlled communication assets in a centralized content repository with approval workflows.

Module 4: Data Governance in Transition Periods

  • Establishing data stewardship roles for master data during system consolidation projects.
  • Designing data validation rules to ensure migrated records meet new process requirements.
  • Implementing temporary data reconciliation processes between legacy and target systems during parallel runs.
  • Enforcing data privacy controls when test environments contain live organizational change data.
  • Defining data ownership handoffs between project teams and operational support post-go-live.
  • Monitoring data quality KPIs during the first 90 days after a major process automation deployment.

Module 5: Integrating Change Management into IT Project Lifecycles

  • Embedding change readiness checkpoints into SDLC phase gates for custom development projects.
  • Requiring change impact documentation as part of IT project initiation and charter approval.
  • Coordinating user acceptance testing with change adoption metrics to validate training effectiveness.
  • Adjusting deployment schedules based on organizational bandwidth assessments from HR systems.
  • Linking IT incident tickets to change resistance patterns identified in feedback channels.
  • Assigning dedicated change resources to agile product teams for continuous adoption support.

Module 6: Measuring Adoption and Performance

  • Configuring application usage dashboards to track feature adoption by department and role.
  • Correlating login frequency with completion of mandatory change-related training modules.
  • Setting up service desk ticket analysis to identify recurring user issues post-deployment.
  • Integrating survey responses with system activity logs to assess perception versus behavior gaps.
  • Defining baseline performance metrics before go-live to measure post-implementation efficiency gains.
  • Using process mining tools to compare actual workflow execution against redesigned processes.

Module 7: Managing Resistance Through Technical Enablement

  • Deploying role-based dashboards that highlight personal benefits of new systems to skeptical users.
  • Creating sandbox environments for high-resistance teams to experiment without production risk.
  • Automating manual workarounds into official workflows to reduce shadow IT reliance.
  • Using access logs to identify informal change champions and amplifying their influence.
  • Integrating feedback loops from collaboration tools into product backlog refinement for iterative improvements.
  • Implementing gradual feature rollouts with opt-in early access to reduce perceived disruption.

Module 8: Sustaining Change Through IT Operations

  • Transitioning change-related support tasks from project teams to service desk with documented runbooks.
  • Updating standard operating procedures in knowledge bases to reflect new system-enabled processes.
  • Configuring monitoring alerts for deviations from expected post-change usage patterns.
  • Aligning ITIL change management processes with organizational change control requirements.
  • Scheduling recurring system health reviews that include adoption sustainability metrics.
  • Archiving project-specific configurations and user data according to retention policies after stabilization.