Governance & Compliance

GRC Analytics: Leveraging Data for Effective Risk Decisions

GRC Analytics focuses on the integration of Governance, Risk Management, and Compliance through data analysis. This course equips professionals with the skills to leverage data for informed risk decisions, enhancing organisational resilience and compliance effectiveness.

5 days Classroom or live online English

Smart Horizon Certified - Global Leadership Consultants

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Download the full standard outline: why attend, methodology, objectives, audience, competencies, the daily outline and current plans.

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Why attend

From knowledge to real-world impact.

Organisations face increasing complexity in managing risks, compliance, and governance. Effective risk decisions rely on accurate data analysis to identify vulnerabilities and opportunities. This course addresses the challenge of integrating data analytics into GRC frameworks, enabling professionals to make informed decisions that drive organisational success. Participants will learn to navigate the intricacies of data collection, preparation, and analysis, which are critical for identifying risk patterns and compliance gaps. By developing these analytical capabilities, attendees will enhance their ability to contribute to strategic decision-making processes, ensuring that their organisations remain resilient and compliant in a rapidly changing environment.

The practical exercises and simulations included in this course will immerse participants in real-world scenarios, allowing them to apply analytical techniques to assess risks and compliance issues effectively. This hands-on approach ensures that attendees not only understand theoretical concepts but also gain the practical skills necessary to implement data-driven strategies in their organisations. By the end of the course, participants will be equipped to develop actionable insights from data, communicate findings effectively, and contribute to the overall governance framework, making them invaluable assets to their teams and organisations.

Workplace challenges

Professional Problems This Course Is Designed to Solve

The programme explores practical approaches to the following challenges. Results depend on how the learning is applied in your organisation.

Difficulty translating subject knowledge into practical workplace decisions.
Inconsistent approaches to the activities covered in the course outline.
Lack of a structured plan for applying and reviewing new skills.

Course methodology

How you will learn.

The course employs a blend of case studies, hands-on workshops, and analytical simulations to build practical skills in GRC analytics. Participants will work with real datasets to identify risk patterns and compliance gaps. Each session culminates in a collaborative exercise where participants present their findings, reinforcing their learning and providing tangible outputs that can be applied in their roles. By engaging in these activities, attendees will develop a comprehensive understanding of how to leverage data analytics effectively within GRC frameworks, ensuring they can make informed decisions that enhance organisational resilience and compliance effectiveness. This methodology fosters an interactive learning environment that promotes critical thinking and problem-solving skills.

Course objectives

What you'll take away.

By the end of this course, participants will be able to:

Analyse risk data to identify trends and anomalies relevant to GRC frameworks.
Calculate risk exposure using quantitative methods and data analytics tools.
Diagnose compliance issues through data analysis and reporting techniques to inform decisions.
Compare different data sources for comprehensive risk assessment and strategic planning.
Design a data-driven risk management strategy tailored to organisational needs and objectives.
Prioritise risks based on analytical findings and organisational impact assessments.
Assess the effectiveness of existing GRC processes using data analytics and reporting.
Construct a risk dashboard that visualises key metrics for decision-making and stakeholder communication.

Target audience

Who should attend.

This course is suitable for:

Risk Managers responsible for identifying and mitigating risks.
Compliance Officers focused on ensuring regulatory adherence and reporting.
Data Analysts working within GRC frameworks to support decision-making.
Governance Professionals involved in policy development and oversight.

Target competencies

Capabilities you will build.

Participants will develop competencies in:

Utilising data analytics tools for effective risk assessment and reporting.
Interpreting complex datasets to inform governance decisions and strategies.
Developing risk management strategies based on analytical insights and findings.
Creating visualisations that communicate risk metrics effectively to stakeholders.
Integrating compliance requirements into data analysis processes and reporting.
Collaborating across departments to enhance GRC practices and outcomes.

Course outline

Your learning journey.

A focused, practical outline with time to explore, apply and reflect.

Day 1Foundations of GRC Analytics

Applied activity: Participants will analyse a fictional organisation's GRC framework, identifying key data sources and potential risks. They will discuss the implications of these risks on governance and compliance, focusing on how data can inform decision-making processes and improve outcomes.

Output: A report summarising identified risks and recommended data sources for GRC analytics.

09:00–09:54Introduction to GRC frameworks and their importance in risk management and compliance.
09:54–10:48Overview of data analytics in enhancing governance and compliance effectiveness.
10:48–11:00Key concepts in risk assessment and compliance analysis for informed decision-making.
11:00–11:30Coffee break
11:30–12:12Key concepts in risk assessment and compliance analysis for informed decision-making. (continued)
12:12–13:06Understanding data sources and types relevant to GRC analytics and their applications.
13:06–14:00Ethical considerations in the use of data for governance and compliance purposes.

Day 2Data Collection and Preparation

Applied activity: Using a provided dataset, participants will clean and prepare data for analysis, ensuring it meets quality standards for GRC applications. They will document their data preparation process and discuss challenges faced during this phase, focusing on best practices.

Output: A cleaned dataset ready for risk analysis, along with a process documentation report detailing the steps taken.

09:00–09:54Methods for collecting relevant risk data from various internal and external sources.
09:54–10:48Data cleaning and transformation techniques for effective analysis and reporting.
10:48–11:00Tools for effective data collection in GRC contexts and their applications.
11:00–11:30Coffee break
11:30–12:12Tools for effective data collection in GRC contexts and their applications. (continued)
12:12–13:06Establishing data governance frameworks for quality assurance and compliance.
13:06–14:00Integrating disparate data sources for comprehensive risk analysis and insights.

Day 3Analytical Techniques for Risk Assessment

Applied activity: Participants will apply statistical methods to the cleaned dataset, identifying key risk indicators and compliance gaps through analysis. They will present their findings and discuss the implications for risk management strategies and compliance improvements.

Output: A presentation of analytical findings with visualised risk indicators and actionable recommendations.

09:00–09:54Quantitative methods for analysing risk data effectively and accurately.
09:54–10:48Qualitative approaches to assessing compliance risks and their implications.
10:48–11:00Utilising statistical tools for interpreting data in GRC contexts and scenarios.
11:00–11:30Coffee break
11:30–12:12Utilising statistical tools for interpreting data in GRC contexts and scenarios. (continued)
12:12–13:06Scenario analysis and its application in risk management and decision-making.
13:06–14:00Developing risk models based on analytical findings and data insights for strategic planning.

Day 4Implementing Data-Driven Risk Strategies

Applied activity: In groups, participants will develop a risk management strategy for a fictional case study, prioritising risks and outlining mitigation plans based on their analyses. They will present their strategies to the class for feedback and discussion on effectiveness.

Output: A comprehensive risk management strategy document, including prioritisation and mitigation plans for identified risks.

09:00–09:54Designing risk management strategies based on data insights and analytical findings.
09:54–10:48Prioritising risks using a risk matrix and organisational impact assessment techniques.
10:48–11:00Developing actionable plans for risk mitigation and compliance improvement initiatives.
11:00–11:30Coffee break
11:30–12:12Developing actionable plans for risk mitigation and compliance improvement initiatives. (continued)
12:12–13:06Communicating risk strategies effectively to stakeholders and teams for buy-in.
13:06–14:00Monitoring and reviewing risk strategies using data analytics over time for continuous improvement.

Day 5Creating a GRC Analytics Dashboard

Applied activity: Participants will design and create a GRC analytics dashboard using the insights and data from previous days, ensuring it communicates key risk metrics clearly and effectively to stakeholders. They will demonstrate its functionality and usability in a presentation.

Output: An interactive GRC analytics dashboard prototype that visualises key risk metrics and insights for stakeholder engagement.

09:00–09:54Key metrics for measuring GRC performance and effectiveness in decision-making.
09:54–10:48Tools for creating interactive dashboards for risk communication and reporting.
10:48–11:00Best practices in data visualisation for presenting risk metrics and insights.
11:00–11:30Coffee break
11:30–12:12Best practices in data visualisation for presenting risk metrics and insights. (continued)
12:12–13:06Integrating real-time data into dashboards for ongoing monitoring and assessment.
13:06–14:00Presenting findings and insights to stakeholders effectively to drive action.

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Dates & venues

Find a session that works for you.

Confirmed dates accept registration requests. Tentative dates are enquiry only.

Good to know

A few things to know.

How is the course delivered?

Our classroom programmes combine facilitated discussion, case studies, exercises and reflection. The precise format will be confirmed before enrolment.

Can you deliver this programme for our team?

Yes, you can enquire about a tailored programme. Share your goals, group size and preferred dates with our learning team.

Will I receive a certificate?

Participants who complete the programme receive a Smart Horizon certificate of attendance. Smart Horizon programmes are not externally accredited and do not award a professional qualification, licence or designation. Where a course title or outline refers to a professional certification (for example, AACE International's Certified Cost Professional), the programme supports learning and preparation only; the credential itself is awarded solely by the relevant professional body under its own application and examination requirements.

What should I confirm before booking travel?

Please confirm the session, exact venue, accessibility arrangements, fees and any visa requirements with the team before arranging travel. Tentative dates are not confirmed sessions.

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