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We run this course as live virtual sessions and in-person across Nairobi, Mombasa, Kampala, Dar es Salaam, Kigali, Johannesburg, Dubai, Singapore and more. The next intake dates will be published here shortly.
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Format: Live instructor-led online training via Zoom / Microsoft Teams
Continuous Auditing with Data Analytics Training Course is a comprehensive and practical professional programme designed to equip internal auditors, external auditors, risk professionals, compliance officers, accountants, financial analysts, and audit managers with advanced knowledge and practical skills in continuous auditing, audit data analytics, automated audit testing, continuous monitoring, exception reporting, and technology-enabled assurance. The course focuses on transforming traditional periodic auditing into a more proactive, data-driven, risk-based, and technology-enabled audit approach. Participants will learn how continuous auditing and advanced data analytics can improve audit coverage, identify unusual transactions, detect control weaknesses, strengthen fraud detection, accelerate assurance activities, and provide timely insights to management and audit committees.
The programme provides extensive coverage of continuous auditing frameworks, audit analytics methodologies, risk-based auditing, data extraction, data preparation, data cleansing, data validation, automated audit procedures, exception testing, anomaly detection, statistical analysis, trend analysis, ratio analysis, Benford's Law, duplicate transaction testing, journal entry analytics, and continuous control monitoring. Participants will explore how audit teams can use accounting data, ERP systems, financial databases, procurement records, payroll systems, revenue systems, banking transactions, and other organizational data sources to perform automated and repeatable audit procedures. Particular emphasis is placed on developing audit analytics that can operate continuously or at frequent intervals to identify emerging risks before they result in significant financial or operational losses.
Participants will develop practical skills in designing continuous auditing programmes, selecting appropriate audit data, establishing audit rules and thresholds, developing automated exception reports, interpreting analytical results, investigating anomalies, and documenting audit evidence. The training also examines data governance, audit trail requirements, cybersecurity, access controls, privacy, audit analytics quality, false positives, model governance, and integration between internal audit, risk management, compliance, finance, and information technology functions. Relevant general case studies will demonstrate how continuous audit analytics can identify duplicate payments, unauthorized transactions, unusual journal entries, procurement irregularities, payroll anomalies, revenue manipulation, segregation-of-duties conflicts, and other control failures.
By the end of the training, participants will be able to design and implement continuous auditing and data analytics programmes that provide timely, reliable, and actionable assurance. Participants will gain the ability to define audit analytics objectives, extract and prepare data, perform automated testing, identify anomalies, assess risks, investigate exceptions, and communicate results through dashboards and professional audit reports. The programme is suitable for organizations seeking to modernize internal audit, strengthen continuous control monitoring, improve fraud detection, increase audit efficiency, and enhance enterprise risk management. The course can be customized for banks, government institutions, NGOs, corporations, development organizations, insurance companies, manufacturing organizations, and other entities using ERP, accounting, procurement, payroll, or financial management systems.
1. Understand the principles, objectives, frameworks, and methodologies of continuous auditing and continuous monitoring.
2. Apply data analytics techniques to improve internal audit planning, execution, testing, and reporting.
3. Develop risk-based continuous auditing programmes aligned with organizational risks, objectives, and control environments.
4. Extract, prepare, validate, cleanse, and analyse accounting, financial, operational, and transactional data for audit purposes.
5. Apply automated audit testing, exception reporting, anomaly detection, trend analysis, and statistical analysis.
6. Use audit analytics to identify fraud indicators, control weaknesses, unusual transactions, and financial irregularities.
7. Design continuous control monitoring rules, thresholds, alerts, dashboards, and audit analytics procedures.
8. Evaluate audit evidence, analytical results, false positives, data quality, and reliability of automated audit procedures.
9. Prepare professional continuous audit reports and communicate data-driven findings and recommendations effectively.
10. Develop sustainable continuous auditing and data analytics implementation strategies that improve audit coverage, efficiency, and assurance quality.
1. Strengthens internal audit capabilities through continuous, data-driven, and technology-enabled assurance.
2. Improves early identification of financial, operational, compliance, and fraud risks.
3. Increases audit coverage by enabling automated testing of large volumes of transactions.
4. Reduces reliance on manual and periodic audit procedures through repeatable data analytics.
5. Enhances detection of unusual transactions, control failures, fraud indicators, and policy violations.
6. Improves continuous monitoring of key controls, risk indicators, and financial processes.
7. Strengthens collaboration between internal audit, finance, risk, compliance, IT, and management teams.
8. Improves audit efficiency, productivity, evidence quality, and timeliness of audit reporting.
9. Supports stronger corporate governance, risk management, internal controls, and regulatory compliance.
10. Builds sustainable organizational capacity for continuous auditing, audit analytics, automated testing, and technology-enabled assurance.
The course is designed for Chief Audit Executives (CAEs), Internal Auditors, External Auditors, Audit Managers, Senior Auditors, IT Auditors, Information Systems Auditors, Risk Managers, Compliance Officers, Accountants, Financial Controllers, Fraud Examiners, Forensic Accountants, Data Analysts, Financial Analysts, Business Analysts, Governance Professionals, Internal Control Specialists, Enterprise Risk Management professionals, ERP specialists, Finance Managers, and professionals responsible for audit, assurance, risk management, compliance, financial controls, data analytics, and organizational governance.
1. Introduction to continuous auditing, continuous monitoring, continuous assurance, audit automation, and data-driven auditing.
2. Differences between traditional periodic auditing, continuous auditing, continuous monitoring, and automated assurance.
3. Continuous auditing frameworks, audit objectives, risk assessment, audit frequency, scope, and technology requirements.
4. Identifying audit processes and control areas suitable for continuous monitoring and automated testing.
5. Data analytics in internal audit, audit evidence, data-driven risk assessment, and audit decision-making.
6. General Case Study: Assessing a traditional internal audit function and developing a continuous auditing framework for finance, procurement, payroll, and revenue processes.
1. Identifying audit data sources including ERP systems, accounting software, databases, spreadsheets, procurement, payroll, revenue, and banking systems.
2. Data extraction methods, data integration, audit data acquisition, data profiling, and data quality assessment.
3. Data cleansing, transformation, validation, reconciliation, duplicate removal, missing values, and consistency testing.
4. Data governance, access controls, privacy, cybersecurity, audit trails, metadata, and evidence integrity.
5. Designing audit-ready datasets and establishing standardized data structures for repeatable audit analytics.
6. General Case Study: Extracting and preparing a large accounts payable dataset for continuous audit testing and identifying data quality problems before analytical review.
1. Transaction analytics, exception testing, automated audit procedures, and rule-based continuous audit testing.
2. Duplicate payment detection, unusual transaction analysis, round-number testing, sequence analysis, and outlier identification.
3. Benford's Law, ratio analysis, trend analysis, variance analysis, correlation analysis, and statistical audit techniques.
4. Journal entry testing, revenue analytics, expense analytics, payroll analytics, procurement analytics, and cash transaction testing.
5. Developing automated audit rules, thresholds, exception reports, alerts, and risk-based analytical procedures.
6. General Case Study: Applying automated audit analytics to identify duplicate invoices, unusual journal entries, abnormal payments, and suspicious procurement transactions.
1. Continuous control monitoring frameworks, control objectives, key control indicators, risk indicators, and automated alerts.
2. Detecting segregation-of-duties conflicts, unauthorized access, unusual approvals, policy violations, and control overrides.
3. Fraud analytics, anomaly detection, suspicious transaction monitoring, and financial crime indicators.
4. Continuous risk assessment, risk scoring, emerging risk identification, and integration with enterprise risk management.
5. Investigating audit exceptions, validating findings, reducing false positives, documenting evidence, and escalating significant risks.
6. General Case Study: Designing a continuous control monitoring system to identify unauthorized payments, segregation-of-duties conflicts, and unusual user activity in an ERP environment.
1. Designing audit analytics dashboards for continuous monitoring, risk reporting, control performance, and management oversight.
2. Data visualization techniques for audit findings, trends, anomalies, exceptions, risk indicators, and control performance.
3. Developing audit KPIs, KRIs, thresholds, alert mechanisms, exception categories, and management reporting structures.
4. Continuous audit reporting, escalation procedures, audit evidence documentation, and communication of data-driven findings.
5. Integrating continuous audit dashboards with internal audit management, risk management, compliance, finance, and executive reporting.
6. General Case Study: Developing a continuous audit dashboard that provides management and the audit committee with real-time or frequent insights into financial and operational control risks.
1. Developing a continuous auditing strategy, implementation roadmap, governance model, resources, responsibilities, and technology requirements.
2. Selecting audit analytics tools, integrating data sources, automating audit procedures, and establishing repeatable testing processes.
3. Building continuous auditing policies, procedures, documentation standards, quality assurance, and model governance.
4. Managing organizational change, auditor competencies, data analytics skills, collaboration with IT, and stakeholder engagement.
5. Measuring continuous auditing performance through audit coverage, exception rates, risk reduction, efficiency gains, and assurance outcomes.
6. General Case Study: Developing an end-to-end continuous auditing and data analytics implementation plan for an organization seeking to automate financial, procurement, payroll, and compliance audit testing.
1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
8. Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
14. Website: Visit our website at www.fdc-k.org for more information.