Power BI for Risk, ESG & Operations Training Course

• Risk data ecosystems
• Risk appetite and performance indicators
• Key risk and control indicators
• Risk taxonomy and data structures
• Executive risk reporting requirements
• Connecting risk to business performance
• Risk intelligence workshop

Practical session: Risk intelligence workshop. Build a risk taxonomy and map risk appetite, key risk indicators, controls and performance measures into a Power BI analytical design.

• Integrating risk, operational and ESG sources
• Data quality and validation
• Dimensional modelling
• Relationships and analytical granularity
• Data lineage and controls
• Reusable semantic models
• Integrated modelling laboratory

Practical session: Integrated data model build. Combine risk, operational and ESG datasets, resolve inconsistent identifiers, establish analytical relationships and create a governed semantic model.

• Risk measures and thresholds
• Dynamic scoring and ranking
• Exposure and concentration analysis
• Trend and variance measures
• Exception calculations
• Time intelligence for risk monitoring
• DAX risk analytics challenge

Practical session: Risk DAX laboratory. Build measures for exposure, concentration, trend, threshold breaches, control effectiveness and risk movement, then validate calculations against control totals.

• Risk heatmaps and exposure views
• KRI dashboards
• Threshold and exception design
• Early-warning indicators
• Drill-through investigation
• Executive risk narratives
• Risk dashboard workshop

Practical session: Early-warning dashboard build. Create KRI views, heatmaps, threshold indicators, drill-through investigations and exception reporting for a simulated executive risk committee.

• ESG data architecture
• Environmental and social indicators
• Sustainability KPI frameworks
• Carbon and resource data
• ESG performance trends
• Data quality and disclosure considerations
• ESG dashboard laboratory

Practical session: ESG analytics laboratory. Build an ESG performance model covering selected environmental, social and governance indicators, create trend analysis and develop an executive sustainability dashboard.

• Operational KPI architecture
• Productivity and efficiency analysis
• Service-level monitoring
• Process and workflow analytics
• Asset and resource performance
• Exception and bottleneck analysis
• Operational intelligence workshop

Practical session: Operational intelligence build. Analyse service levels, productivity, throughput, bottlenecks and resource utilisation, then design an operational dashboard that highlights the interventions requiring management attention.

• Compliance data structures
• Control monitoring
• Audit findings analytics
• Issue ageing and remediation tracking
• Regulatory reporting dashboards
• Assurance and evidence management
• Compliance analytics case

Practical session: Compliance and assurance analytics. Build a dashboard for audit findings, control issues, remediation status, ageing and compliance exceptions, with drill-through from executive summaries to underlying issues.

• Scenario design
• Risk sensitivity analysis
• Stress testing dashboards
• Operational resilience indicators
• Climate and business continuity scenarios
• Management response analysis
• Scenario modelling laboratory

Practical session: Scenario and resilience lab. Build downside, stress and resilience scenarios, test key assumptions and visualise the potential effect on selected risk, ESG and operational indicators.

• Integrated executive dashboards
• Board-level risk reporting
• ESG and operational scorecards
• Narrative reporting
• Decision-focused visualisation
• Linking indicators to management action
• Executive reporting simulation

Practical session: Executive risk and sustainability reporting studio. Integrate risk, ESG and operational indicators into an executive dashboard and produce a concise board-level narrative explaining material changes and management responses.

• Define an integrated risk, ESG or operational use case
• Build the analytical model
• Develop advanced measures and indicators
• Create an executive dashboard
• Test scenarios and exceptions
• Present findings and recommended actions
• Capstone assessment

Practical session: Integrated intelligence capstone. Complete and present a risk, ESG, compliance or operational intelligence solution, defend the analytical design and translate findings into an executive action plan.