Internal Audit Courses.

This course focuses on how In-Charge Auditors lead audits. Participants will review audit program development and changes, risk assessments, setting and managing priorities, expectations, delegation, staff performance, and overall productivity, reviewing workpapers, stakeholder management, and incorporating fraud detection techniques into audit programs. The focus is on managing the dynamics of an audit and applying project management principles to increase the effectiveness of the engagement.

This course focuses on how In-Charge Auditors lead audits. Participants will review audit program development and changes, risk assessments, setting and managing priorities, expectations, delegation, staff performance, and overall productivity, reviewing workpapers, stakeholder management, and incorporating fraud detection techniques into audit programs. The focus is on managing the dynamics of an audit and applying project management principles to increase the effectiveness of the engagement.

This course will provide Internal Auditors with foundational and practical knowledge of data analytics and mining. This course is designed to differentiate these two concepts while providing auditors with tools to increase audit effectiveness. This course covers data mining techniques, maximizing data, data methodologies, and trend analysis. Participants will also identify ways to improve their continuous audit process and enhance outcome reporting through dashboard visualizations.

This course will provide Internal Auditors with foundational and practical knowledge of data analytics and mining. This course is designed to differentiate these two concepts while providing auditors with tools to increase audit effectiveness. This course covers data mining techniques, maximizing data, data methodologies, and trend analysis. Participants will also identify ways to improve their continuous audit process and enhance outcome reporting through dashboard visualizations.

Data mining and data analytics have become essential for internal auditing success. As the number and sophistication of tools increases, and organizations collect increasing amounts of data, auditors have a wide range of options to improve their risk assessment, planning, fieldwork, and reporting activities.

Topics covered include pivot tables, Poisson distribution, binomial distribution, linear regression, moving averages, pivotal points of change analysis, measures of dispersion, mean dispersion analysis, and several demonstrations.

Data mining and data analytics have become essential for internal auditing success. As the number and sophistication of tools increases, and organizations collect increasing amounts of data, auditors have a wide range of options to improve their risk assessment, planning, fieldwork, and reporting activities.

Topics covered include correlation analysis, concentration testing, data patterns and fraud factors, Beneish M score calculator, and keyword searches for manual journal entries. It also covers duplicate transactions, horizontal and vertical analysis, compliance testing, and several demonstrations including compliance, operational and financial audit tests using Excel functions.

Data mining and data analytics have become essential for internal auditing success. As the number and sophistication of tools increases, and organizations collect increasing amounts of data, auditors have a wide range of options to improve their risk assessment, planning, fieldwork, and reporting activities.

Topics covered include embedded audit routines, Excel templates, triggers and thresholds, audience analysis, dashboard planning, data cleaning, applying functions to testing for dashboards, consolidating data techniques, visual-centric audit reporting, and future improvements and innovations.

This course will provide Internal Auditors with foundational and practical knowledge of data analytics and mining. This course is designed to differentiate these two concepts while providing auditors with tools to increase audit effectiveness. This course covers data mining techniques, maximizing data, data methodologies, and trend analysis. Participants will also identify ways to improve their continuous audit process and enhance outcome reporting through dashboard visualizations.

Topics covered include data mining, data analysis, exploratory analysis, continuous auditing, enhancing the audit plan with analytics, risk assessment procedures, data testing procedures, and multi-purpose tools.

This course provides an overview of forensic auditor duties and responsibilities applicable to various engagements in civil and criminal cases. It includes practical tools for the participant to identify applicable standards of performance, determine whether they can accept the case, and perform the engagement according to the requirements of the profession.

The course explains the strategy of planning and performing a forensic audit examination, inclusive of staffing and budgeting, and engagement letter requirements. It reviews the evidence types, approaches to gathering and evaluating evidence, and best techniques for interviewing relevant parties. This course covers report writing and case presentations for internal and external use and will provide advice on testifying as an expert witness in a civil or criminal case.

This course provides an overview of forensic auditor duties and responsibilities applicable to various engagements in civil and criminal cases. It includes practical tools for the participant to identify applicable standards of performance, determine whether they can accept the case, and perform the engagement according to the requirements of the profession.

The course explains the strategy of planning and performing a forensic audit examination, inclusive of staffing and budgeting, and engagement letter requirements. It reviews the evidence types, approaches to gathering and evaluating evidence, and best techniques for interviewing relevant parties. This course covers report writing and case presentations for internal and external use and will provide advice on testifying as an expert witness in a civil or criminal case.

This course provides audit practitioners a comprehensive understanding of the types of fraud affecting organizations and shows proven techniques for preventing and detecting fraud.

This course provides audit practitioners a comprehensive understanding of the types of fraud affecting organizations and shows proven techniques for preventing and detecting fraud.

Fraud data analytics (FDA) is the process that allows the auditor/investigator to evaluate the entire set of data to identify fraud red flags, which are related to a specific fraud scenario; they will then alert the auditor/investigator to focus on certain transactions and areas to review controls, conduct interviews, and examine source documents to determine whether a fraud scheme is occurring or there is simply an error or mistake. Thus, fraud data analytics aims not to identify fraud but rather to identify red flags that would assist the auditor/investigator generate a sample of transactions to examine further in detail. Fraud data analytics does not replace the “old fashion” audit and investigative procedures of gathering relevant and sufficient evidence to conclude whether a fraud scheme has been perpetrated.

Fraud data analytics (FDA) is the process that allows the auditor/investigator to evaluate the entire set of data to identify fraud red flags, which are related to a specific fraud scenario; they will then alert the auditor/investigator to focus on certain transactions and areas to review controls, conduct interviews, and examine source documents to determine whether a fraud scheme is occurring or there is simply an error or mistake. Thus, fraud data analytics aims not to identify fraud but rather to identify red flags that would assist the auditor/investigator generate a sample of transactions to examine further in detail. Fraud data analytics does not replace the “old fashion” audit and investigative procedures of gathering relevant and sufficient evidence to conclude whether a fraud scheme has been perpetrated.

Fraud data analytics is an effective tool to identify anomalies in large data sets and it enables auditors to identify red flags for further investigation. By applying an investigative approach that pairs transactions with additional evidence, auditors can help their organizations detect anomalies before errors or fraud become larger.

Topics covered include schemes, associated red flags, fraud data analytics test design, interpreting test results, and follow-up for accounts payable and disbursement, shell companies, and procurement.

Fraud data analytics is an effective tool to identify anomalies in large data sets and it enables auditors to identify red flags for further investigation. By applying an investigative approach that pairs transactions with additional evidence, auditors can help their organizations detect anomalies before errors or fraud become larger.

Topics covered include schemes and associated red flags committed by a company, fraud data analytics test design, interpreting test results and follow-up for anti-bribery and corruption (ABC), financial statements and journal entries.

The Innovation for Internal Auditors: Improving Agility and Embracing Innovation course empowers auditors with forward-thinking methodologies and emerging technologies to enhance audit effectiveness. Participants will explore agile auditing principles, process improvement techniques, and cutting-edge technologies such as robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML) to drive innovation in internal auditing.

Topics covered include soft skills development for auditors, privacy concerns, team structure, navigating difficult conversations, analyzing and presenting findings, and quantifying the value of fraud data analytics.

Fraud data analytics is the process that allows the auditor/investigator to evaluate the entire set of data to identify fraud red flags, which are related to a specific fraud scenario; they will then alert the auditor/investigator to focus on certain transactions and areas to review controls, conduct interviews, and examine source documents to determine whether a fraud scheme is occurring or there is simply an error or mistake. Thus, fraud data analytics aims not to identify fraud but rather to identify red flags that would assist the auditor/investigator generate a sample of transactions to examine further in detail. Fraud data analytics does not replace the “old fashion” audit and investigative procedures of gathering relevant and sufficient evidence to conclude whether a fraud scheme has been perpetrated.

Topics covered include an overview of fraud, fraud schemes and red flags, the fraud data analytics team, tools and resources, and general testing methodologies. This course also includes the fraud risk assessment, the fraud risk assessment ratings and response, fraud data analytics development, data sources, challenges in using data analytics, and mitigating skill gaps with tools.

Fraud data analytics is an effective tool to identify anomalies in large data sets and it enables auditors to identify red flags for further investigation. By applying an investigative approach that pairs transactions with additional evidence, auditors can help their organizations detect anomalies before errors or fraud become larger.

Topics covered include schemes, associated red flags, fraud data analytics test design, interpreting test results, and follow-up for travel and entertainment, payroll, credit cards and purchasing cards.

In this course, participants will learn traditional and operational auditing concepts, gaining proven tools and techniques for performing effective audits. This course provides insights for conducting internal audits effectively from the initial risk assessment through planning, fieldwork, and reporting. It covers key techniques like flowcharting, preparing risk-control matrices, documenting issues, and writing narratives.

In this instructor-led course, participants will learn traditional and operational auditing concepts, gaining proven tools and techniques for performing effective audits. This course provides insights for conducting internal audits effectively from the initial risk assessment through planning, fieldwork, and reporting. It covers key techniques like flowcharting, preparing risk-control matrices, documenting issues, and writing narratives.

This course covers the information management disciplines as defined in the International Industry standard, DAMA body of knowledge (DMBoK) v2. It covers the entire information management spectrum, including how information architecture is applied. In this course, students prepare for the CDMP certification. The exam is taken on the last day of the course.

Managers must understand, deploy, and sustain innovation as a key characteristic of their units. This course shows how to embed innovation and agility in a department’s methodology and administration, key considerations when implementing change initiatives, and techniques to successfully apply the Three Lines Model to provide integrated assurance. It also covers ways to make Internal Audit a more visible contributor to an organization’s value protection and creation infrastructure.

Managers must understand, deploy, and sustain innovation as a key characteristic of their units. This course shows how to embed innovation and agility in a department’s methodology and administration, key considerations when implementing change initiatives, and techniques to successfully apply the Three Lines Model to provide integrated assurance. It also covers ways to make Internal Audit a more visible contributor to an organization’s value protection and creation infrastructure.

The amount, speed, and impact of change have accelerated significantly, and all indicators point to more change in the future. Organizations are expected to innovate and become creative in pursuing business objectives, managing risks, and implementing appropriate controls that increase the likelihood of short-term and longer-term success. Internal Auditors must understand the dynamics driving these changes, how innovation is being used in modern organizations, and how it affects the efforts to provide reasonable assurance to the Board of Directors, management, and other stakeholders. Internal audit must understand change and innovation and embrace, adopt, thrive with it, and promote it.

This course shows participants where and how innovation can work in their organization’s favor, protecting and enhancing value while risks are appropriately managed. Internal audit must understand change and innovation and embrace, adopt, and promote it. Part one of this two-part series of courses will explore where and how innovation can work in the planning and execution of audit assignments to enhance and protect value while risks are managed.

The amount, speed, and impact of change have accelerated significantly, and all indicators point to more change in the future. Organizations are expected to innovate and become creative in pursuing business objectives, managing risks, and implementing appropriate controls that increase the likelihood of short-term and longer-term success. Internal Auditors must understand the dynamics driving these changes, how innovation is being used in modern organizations, and how it affects the efforts to provide reasonable assurance to the Board of Directors, management, and other stakeholders. Internal audit must understand change and innovation and embrace, adopt, thrive with it, and promote it.

This course shows participants where and how innovation can work in their organization’s favor, protecting and enhancing value while risks are appropriately managed. Internal audit must understand change and innovation and embrace, adopt, and promote it. Part one of this two-part series of courses will explore where and how innovation can work in the planning and execution of audit assignments to enhance and protect value while risks are managed.

The amount, speed, and impact of change have accelerated significantly, and all indicators point to more change in the future. Organizations are expected to innovate and become creative in pursuing business objectives, managing risks, and implementing appropriate controls that increase the likelihood of short-term and longer-term success. Internal auditors must understand the dynamics driving these changes, how innovation is being used in modern organizations, and how it affects the efforts to provide reasonable assurance to the Board of Directors, management, and other stakeholders. Internal audit must understand change and innovation and embrace, adopt, thrive with it, and promote it.

This course shows participants where and how innovation can work in their organization’s favor, protecting and enhancing value while risks are appropriately managed. Internal audit must understand change and innovation and embrace, adopt, and promote it.

This course provides an overview and covers the foundational aspects of innovation and internal auditing, managing expectations as a requirement for modern auditing, and key questions internal auditors should ask, and answer. This course also covers the impact of data analytics, types of projects internal auditors should consider performing, trends in internal auditing, the progression towards continuous auditing, attributes of world-class audit departments, and key actions to remain relevant.

CPE: 7

This course covers techniques for preparing high-quality audit workpapers that explain the purpose, results, and conclusions of the testing performed. The course also covers how to effectively document and communicate audit issues, methods for sample selection, and ways to perform tests on the entire population using data analytics to identify anomalies. Who Should Attend: Internal and IT Auditors looking for a comprehensive understanding of the process of Internal Audit. This foundational course can be used to onboard rotational Internal Auditors and other experienced professionals starting their careers.

CPE: 4

This course provides guidance and standards from the IIA for audit professionals and effective ways of conducting audits, from the audit plan to engagement planning as well as execution and audit reporting. These concepts are complemented with innovative tools and methodologies, including data analytics, agile auditing, and GRC software for more efficient and effective audits that add value. In addition to best practices for technical skills for auditors, it also covers soft skills that are critical for an audit leader’s success, including best practices in project management, communication skills, conflict management, and leading with empathy.

The course addresses the challenging pursuit of Internal Audit, becoming strategic partners, and having a seat at the table. Additionally, there is coverage on how audit leaders can play a role and add value in several common strategic initiatives related to risk management (ERM), corporate culture, IT, operations, and others. Finally, the course wraps up with how best to communicate with and report to the Board and the Audit Committee, whether the participant attends Board meetings or is involved with providing input into Board reporting. These concepts will be reinforced with exercises and case studies throughout the course to allow participants to apply what they have learned using real-world examples and situations.

This course provides guidance and standards from the IIA for audit professionals and effective ways of conducting audits, from the audit plan to engagement planning as well as execution and audit reporting. These concepts are complemented with innovative tools and methodologies, including data analytics, agile auditing, and GRC software for more efficient and effective audits that add value. In addition to best practices for technical skills for auditors, it also covers soft skills that are critical for an audit leader’s success, including best practices in project management, communication skills, conflict management, and leading with empathy.

The course addresses the challenging pursuit of Internal Audit, becoming strategic partners, and having a seat at the table. Additionally, there is coverage on how audit leaders can play a role and add value in several common strategic initiatives related to risk management (ERM), corporate culture, IT, operations, and others. Finally, the course wraps up with how best to communicate with and report to the Board and the Audit Committee, whether the participant attends Board meetings or is involved with providing input into Board reporting. These concepts will be reinforced with exercises and case studies throughout the course to allow participants to apply what they have learned using real-world examples and situations.

Successful internal audit departments have people, processes and tools that work effectively together throughout the audit planning, fieldwork, and reporting phases. The result is the delivery of value-adding services that exceed stakeholder expectations.

Topics covered in this course include data analytics, GRC tools, and agile auditing,

Who Should Attend

Internal Audit Managers, Directors, and Supervisors.

This course will take learners on a journey examining real-world case studies. We will demonstrate how the use of mind-mapping techniques used in multi-billion-dollar organizations has saved lives. These techniques are still used today to detect fraud, misuse, inefficiencies, and recover funds. Learn how to apply modern-day case studies to audit plans, tests, and other audit components.

Delve with us into the specifics of data integrity, data quality, and data integration. Learners will study how to efficiently extract business insights from data and visually communicate those insights to their stakeholders. We will familiarize learners with identifying structured vs. unstructured data, intersecting data, and developing a systematic process of analysis. Learners will be able to provide assurance, consulting, or solution-based value to their organizations.

Fast-forward to the future into the world of data, big data, and management enhancement through analytics. We will introduce learners to artificial intelligence, machine learning, and the rise of quantum computing, and how these will impact the future of auditing.

Data analytics have become an integral part of modern internal auditing, and auditors knowledgeable about data integrity, and techniques to analyze it, are in high demand. Proficiency examining data helps auditors identify waste, abuse, and fraud, and provides great opportunities to add value to audit clients. But extracting insights from the data is not enough, practitioners must also acquire effective communication skills to successfully convey their results and the business implications, which are essential to promote positive change.

Topics covered in this course include identification and normalization of Accounts Payable (AP) data, AP data queries, visualizing AP data, the future, and the distant future.

In this course, participants examine real-world case studies demonstrating how various techniques are used to detect fraud, misuse, inefficiencies, and recover funds. The course covers data integrity, data quality, and data integration, and will familiarize learners with identifying structured vs. unstructured data, intersecting data, and developing a systematic process of analysis. Learners will learn how to efficiently extract business insights from data, visually communicate those insights to their stakeholders, and apply these techniques to audit plans, tests, and other audit components. The course introduces learners to artificial intelligence, machine learning, the rise of quantum computing, and how these will impact the future of auditing.

Topics covered include a historical perspective to data analytics, modern tools, understanding the structure of flat data files, and understanding the audit perspective. This course also includes finding fraud, predictive analytics, and accelerated learning techniques.

Data analytics have become an integral part of modern internal auditing, and auditors knowledgeable about data integrity, and techniques to analyze it, are in high demand. Proficiency examining data helps auditors identify waste, abuse, and fraud, and provides great opportunities to add value to audit clients. But extracting insights from the data is not enough, practitioners must also acquire effective communication skills to successfully convey their results and the business implications, which are essential to promote positive change.

Topics covered in this course include identifying data in human resources (HR), data queries, and visualizing HR results.

Data analytics have become an integral part of modern internal auditing, and auditors knowledgeable about data integrity, and techniques to analyze it, are in high demand. Proficiency examining data helps auditors identify waste, abuse, and fraud, and provides great opportunities to add value to audit clients. But extracting insights from the data is not enough, practitioners must also acquire effective communication skills to successfully convey their results and the business implications, which are essential to promote positive change.

Topics covered in this course include mind-mapping for data discovery and understanding structured vs. unstructured data. The course then focuses on data typically available from cash receipts, payroll, accounts payable and accounts receivable, data available from other organizations, mind-mapping for audit use, and the analytics process overview.

Data analytics have become an integral part of modern internal auditing, and auditors knowledgeable about data integrity, and techniques to analyze it, are in high demand. Proficiency examining data helps auditors identify waste, abuse, and fraud, and provides great opportunities to add value to audit clients. But extracting insights from the data is not enough, practitioners must also acquire effective communication skills to successfully convey their results and the business implications, which are essential to promote positive change.

Topics covered in this course include data dumps and access, security profiles for audit data, checksums for data security, and relational data files. The course also covers specific jargon, tools of the trade, the process of analytics supported audit, and the normalization of data. Other topics covered include pivot tables, data questions in payroll, in accounts payable, how to ask quality questions, creating a dashboard, and using business intelligence dashboard.

Data analytics have become an integral part of modern internal auditing, and auditors knowledgeable about data integrity, and techniques to analyze it, are in high demand. Proficiency examining data helps auditors identify waste, abuse, and fraud, and provides great opportunities to add value to audit clients. But extracting insights from the data is not enough, practitioners must also acquire effective communication skills to successfully convey their results and the business implications, which are essential to promote positive change.

Topics covered in this course include website effectiveness audit, data prep, website queries, and visualizing website data.

This course covers the basic concepts of risk assessments and enterprise risk assessments (ERAs) and how data analytics can optimize the risk assessment process; it also covers how to use risk assessments in risk-based auditing at the annual audit planning, the engagement planning, and the audit program development levels. It also includes Enterprise Risk Management (ERM) fundamentals, best practices, and examples of tools, templates, and reports commonly used in the risk management process. There is also coverage of ERM metrics using data analytics.

To better partner with key business stakeholders and add value to one’s organization, it is necessary to understand key business risks. Therefore, the course devotes significant coverage to common business functions and their respective key processes, as well as the related risks, including Accounting, Financial Reporting, Human Resources, Legal, Sales, Contracts, Customer Service, Transportation/Delivery Service, IT, Manufacturing, Compliance, Quality Assurance, and Research & Development.

Throughout the course, there are exercises, informative articles, case studies, examples of tools and templates, and graphical depictions to help the participant apply concepts and theories to practical use in their organization. The course wraps up with reporting risk information to key stakeholders, including what’s important to the Board as it relates to communicating risk information.

This course covers the basic concepts of risk assessments and enterprise risk assessments (ERAs) and how data analytics can optimize the risk assessment process; it also covers how to use risk assessments in risk-based auditing at the annual audit planning, the engagement planning, and the audit program development levels. It also includes Enterprise Risk Management (ERM) fundamentals, best practices, and examples of tools, templates, and reports commonly used in the risk management process. There is also coverage of ERM metrics using data analytics.

To better partner with key business stakeholders and add value to one’s organization, it is necessary to understand key business risks. Therefore, the course devotes significant coverage to common business functions and their respective key processes, as well as the related risks, including Accounting, Financial Reporting, Human Resources, Legal, Sales, Contracts, Customer Service, Transportation/Delivery Service, IT, Manufacturing, Compliance, Quality Assurance, and Research & Development.

Throughout the course, there are exercises, informative articles, case studies, examples of tools and templates, and graphical depictions to help the participant apply concepts and theories to practical use in their organization. The course wraps up with reporting risk information to key stakeholders, including what’s important to the Board as it relates to communicating risk information.

Modern internal auditing is risk-based, objectives-centric, data-driven, and dynamic. This course provides key tips, tools, techniques, and examples to understand risk, and ways to apply data analytics during risk assessments and the review of various business functions.

This course focuses on risk assessments, and the use of data analytics while reviewing procurement, compliance, legal, human resources, and the IT functions.

Modern internal auditing is risk-based, objectives-centric, data-driven, and dynamic. This course provides key tips, tools, techniques, and examples to understand risk, and ways to apply data analytics during risk assessments and the review of various business functions.

This course focuses on risk assessments, and the use of data analytics while reviewing sales, financial reporting, contracts, customer service, and transportation.

Modern internal auditing is risk-based, objectives-centric, data-driven, and dynamic. This course provides key tips, tools, techniques, and examples to understand risk, and ways to apply data analytics during risk assessments and the review of various business functions.

This course focuses on risk assessments, and the use of data analytics while reviewing Heath, Safety, and Environmental Services (HSES), Research and Development (R&D), manufacturing, the organizational culture, and reporting.

This course covers the basic concepts of risk assessments and enterprise risk assessments (ERAs) and how data analytics can optimize the risk assessment process; it also covers how to use risk assessments in risk-based auditing at the annual audit planning, the engagement planning, and the audit program development levels. It also includes Enterprise Risk Management (ERM) fundamentals, best practices, and examples of tools, templates, and reports commonly used in the risk management process. There is also coverage of ERM metrics using data analytics.

To better partner with key business stakeholders and add value to one’s organization, it is necessary to understand key business risks. Therefore, the course devotes significant coverage to common business functions and their respective key processes, as well as the related risks, including Accounting, Financial Reporting, Human Resources, Legal, Sales, Contracts, Customer Service, Transportation/Delivery Service, IT, Manufacturing, Compliance, Quality Assurance, and Research & Development.

Throughout the course, there are exercises, informative articles, case studies, examples of tools and templates, and graphical depictions to help the participant apply concepts and theories to practical use in their organization. The course wraps up with reporting risk information to key stakeholders, including what’s important to the Board as it relates to communicating risk information.

This course covers the basics of risk assessments, risk assessment steps, templates, and examples. It also covers ERM metrics and effectiveness.

Modern internal auditing is risk-based, objectives-centric, data-driven, and dynamic. This course provides key tips, tools, techniques, and examples to understand risk, and ways to apply data analytics during risk assessments and the review of various business functions.

Topics covered in this course include an overview of risk-based auditing, developing an audit plan and audit programs. It also covers key data analytics terminology, continuous monitoring, the role of data analytics in risk management, and steps for using data analytics in risk assessments.

Modern internal auditing is risk-based, objectives-centric, data-driven, and dynamic. This course provides key tips, tools, techniques, and examples to understand risk, and ways to apply data analytics during risk assessments and the review of various business functions.

This course includes an overview of top risks every organization should be on the lookout for. It also covers risk assessments, and the use of data analytics while reviewing inventory, treasury, accounting, and travel and entertainment.

This course introduces participants to the basic concepts of risk, types of risks, and risk management (ERM) frameworks such as ISO 3000 and COSO ERM, and the IIA’s professional guidance on risk management. It also covers how to conduct risk assessments and ways of reviewing several common types of functional risk assessments, such as a fraud risk assessment, an IT risk assessment, a financial risk assessment, and best practices. The course includes examples of tools, templates, and reports commonly used in the risk management process. Also covered are risk appetite, measuring the impact/likelihood or risks, and black swans.

The course then transitions to risk-based auditing and applies it toward developing the annual audit plan and planning at the engagement and audit program levels. Other topics include talent management strategies for risk-based auditing, root cause analysis, risk mitigation strategies, data analysis, and continuous monitoring tools to ensure there is an effective method for addressing risk.

The course also covers key business risks, including operational, strategic, people, regulatory and financial, cybersecurity, and culture, in addition to emerging risks. Participants will review articles, case studies, examples of tools and templates, and graphical depictions to help the student apply concepts and theories to practical use in their organization.

This course introduces participants to the basic concepts of risk, types of risks, and risk management (ERM) frameworks such as ISO 3000 and COSO ERM, and the IIA’s professional guidance on risk management. It also covers how to conduct risk assessments and ways of reviewing several common types of functional risk assessments, such as a fraud risk assessment, an IT risk assessment, a financial risk assessment, and best practices. The course includes examples of tools, templates, and reports commonly used in the risk management process. Also covered are risk appetite, measuring the impact/likelihood or risks, and black swans.

The course then transitions to risk-based auditing and applies it toward developing the annual audit plan and planning at the engagement and audit program levels. Other topics include talent management strategies for risk-based auditing, root cause analysis, risk mitigation strategies, data analysis, and continuous monitoring tools to ensure there is an effective method for addressing risk.

The course also covers key business risks, including operational, strategic, people, regulatory and financial, cybersecurity, and culture, in addition to emerging risks. Participants will review articles, case studies, examples of tools and templates, and graphical depictions to help the student apply concepts and theories to practical use in their organization.

Auditors that understand risk are better prepared to provide reasonable assurance to the board that the organization’s processes support the achievement of objectives and ongoing practices are managing risk to acceptable levels. This is Part 4 of the Risk Audit School course series.

Topics covered include the annual audit plan, engagement level planning, audit programs, root cause analysis, risk mitigation plans, data analytics, and continuous monitoring.

In this course, participants will learn how to use risk assessment techniques and principles to build and conduct risk-based and value-added audit programs. It explores progressive approaches to assessing risk and determining the most appropriate strategies to build targeted audit programs for organizations and audit units. Attendees will learn how to build audit programs that will encompass an evaluation of a wider spectrum of risks: financial, information systems, regulatory and compliance, human resources, health & safety, operational effectiveness and efficiency, and reputational risks.

Through case studies and other interactive approaches, participants will have an opportunity to be hands-on in working through various scenarios. Finally, participants will learn effective approaches to include sustainable risk-mitigation and corrective action strategies in the report and ongoing monitoring efforts. Attendees will emerge from this course with a toolbox of proven implementable approaches that will enhance any internal audit function to generate high-value and high-impact outcomes.

In this course, participants will learn how to use risk assessment techniques and principles to build and conduct risk-based and value-added audit programs. It explores progressive approaches to assessing risk and determining the most appropriate strategies to build targeted audit programs for organizations and audit units. Attendees will learn how to build audit programs that will encompass an evaluation of a wider spectrum of risks: financial, information systems, regulatory and compliance, human resources, health & safety, operational effectiveness and efficiency, and reputational risks.

Through case studies and other interactive approaches, participants will have an opportunity to be hands-on in working through various scenarios. Finally, participants will learn effective approaches to include sustainable risk-mitigation and corrective action strategies in the report and ongoing monitoring efforts. Attendees will emerge from this course with a toolbox of proven implementable approaches that will enhance any internal audit function to generate high-value and high-impact outcomes.

Risk assessments are essential to build effective audit programs, and conduct risk-based auditing. This course is Part 3 of the Using Risk Assessment to Build Individual Audit Programs course series.

Topics covered include data mining and data analytics tools, summarizing and presenting data, the identification of risk areas, organization units included in the audit, and the objectives and scope of the audit. It also covers the management and staff involved in the audit, audit steps that focus on risk, and mapping observations.

CPE: 5