A Highly Interactive Training Course On
GRC Analytics: Leveraging Data for Effective Risk Decisions
Transforming Governance, Risk, and Compliance
Through Data Insights, Predictive Analytics, and Intelligent Decision-Making
Course Introduction
In an era where organizations generate vast amounts of data daily, the ability to convert information into actionable insights has become a strategic necessity. Governance, Risk, and Compliance (GRC) functions are no longer limited to qualitative assessments and manual processes. Instead, modern enterprises rely on advanced data analytics, automation, and AI-driven insights to enhance risk visibility, strengthen governance frameworks, and ensure compliance with regulatory standards.
GRC Analytics provides a powerful approach for analyzing emerging risks, identifying control weaknesses, predicting vulnerabilities, and enabling leadership to make informed decisions with greater precision and speed. By integrating analytics into risk and compliance workflows, organizations can move from reactive to proactive risk management, reduce uncertainties, and optimize operational performance.
This GRC Analytics: Leveraging Data for Effective Risk Decisions training course equips participants with the tools, frameworks, and analytical techniques needed to leverage data effectively within GRC operations. Through practical exercises, case studies, and real-life examples, participants will explore data-driven risk assessments, compliance analytics, dashboard design, key risk indicators (KRIs), and predictive modelling to support strategic decision-making.
Training Objectives
By the end of this training course, participants will be able to:
- Understand the role of data analytics in strengthening GRC functions
- Build a data-driven risk assessment and reporting approach
- Identify, collect, and organize relevant GRC data
- Use KRIs, KPIs, and dashboards for better visibility and decision-making
- Apply analytical techniques to identify trends, anomalies, and emerging risks
- Use predictive analytics and machine learning in risk forecasting
- Automate compliance monitoring and reporting
- Integrate GRC analytics into enterprise digital transformation strategies
- Create analytically driven governance and oversight frameworks
Training Methodology
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly benefit:
- GRC professionals
- Risk managers and analysts
- Compliance and internal audit teams
- Data analysts working in risk/governance functions
- IT governance professionals
- Enterprise risk management teams
- Business intelligence and data analytics managers
- Anyone involved in data-driven decision-making for organizational risk
Course Outline
- Evolution of GRC into data-driven ecosystems
- Overview of GRC Analytics: definitions, scope, and value
- Understanding risk data, compliance data, and governance metrics
- Data maturity in GRC: From manual to automated processes
- Sources of GRC data: internal systems, external feeds, cyber threat intel
- Tools used in GRC analytics (BI tools, dashboards, AI platforms)
- Case study: How analytics transformed risk management in global organizations
- Data classification and structuring in GRC
- Identifying and collecting risk-related data
- Using KRIs (Key Risk Indicators) and KPIs in risk decision-making
- Control effectiveness metrics and compliance indicators
- Data quality standards and validation techniques
- Workshop: Designing a GRC data collection model
- Statistical analysis for risk decision-making
- Trend analysis, pattern detection & anomaly identification
- Scenario modelling & risk quantification
- Compliance analytics: monitoring, controls testing, and gap detection
- Using analytics in internal audits
- Hands-on exercise: Building a risk analytics dashboard prototype
- Introduction to predictive models for risk forecasting
- Machine learning applications in GRC
- Fraud detection
- Predicting compliance breaches
- Identifying high-risk vendors
- Automation in compliance reporting and monitoring
- Integrating analytics with SOAR, SIEM, and ERM systems
- Exercise: Developing predictive KRIs for a sample organization
- Aligning analytical insights with strategic governance
- Designing executive dashboards for board-level reporting
- Embedding analytics into ERM, BCM, cybersecurity, and audit frameworks
- Data-driven decision-making models for senior leadership
- Building a future-ready GRC analytics operating model
- Workshop: Creating a full GRC analytics roadmap for an organization
- Course wrap-up, lessons learned, and final Q&A
Providers and Associations
Certificates
- COPEX Certificate of Attendance will be provided to delegates who attend and complete the course
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Our training courses will run for 5 hours per day. The standard daily timing is from 8:30 am – 3:30 pm including the coffee/tea breaks and lunch.
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Once officially registered, we can assist by providing the corporate rates provided by the hotel where the training course will be conducted. Early confirmation will enable us to secure the room at reduced rates
Our cancellation policy varies depending on the circumstances presented. Generally, cancellations must be initiated in formal writing at least 14 days prior to the commencement date of the training course. Further, the option to shift an existing registration to another training course on a later date is possible. Otherwise, a full refund will be initiated.
Delegates who will attend and successfully complete the training course will earn a COPEX Certificate of Completion. This certification is designed to validate the successful knowledge transfer, and that the desired learning objectives and outcomes to further advance your professional competency are achieved.
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