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COMPUTER ASSISTED AUDIT TECHNIQUES TRAINING COURSE

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How to Register Click View Schedule for your preferred location, select your training dates, then register as an individual, group, or online participant. You will receive an invitation letter and invoice promptly after submission.
Training Locations Kenya (Nairobi, Mombasa, Malindi, Kisumu, Nakuru, Nanyuki) · Tanzania (Dodoma, Zanzibar, Dar es Salaam) · Dubai UAE · South Africa (Pretoria, Cape Town) · Istanbul · Accra · Banjul more ▾
Groups & Payment Groups of 5+ receive one complimentary place — see group rates. Payment due at least 1 month before (Europe & Asia) or 2 weeks before (Africa programs).

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We run this course regularly across Nairobi, Mombasa, Kampala, Dar es Salaam, Kigali, Johannesburg, Dubai, Singapore, China and many more locations. The next intake dates will be published here shortly.

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COMPUTER-ASSISTED AUDIT TECHNIQUES TRAINING COURSE

Course Introduction

Computer-Assisted Audit Techniques (CAATs) Training Course is a comprehensive and practical professional programme designed to equip internal auditors, external auditors, IT auditors, accountants, compliance professionals, risk managers, forensic accountants, and financial control specialists with advanced skills in technology-enabled auditing and computer-assisted audit techniques. The programme focuses on the practical use of computer-based tools, audit data analytics, automated audit testing, electronic audit evidence, data extraction, data analysis, exception reporting, and continuous audit procedures. Participants will learn how CAATs can transform traditional auditing by enabling auditors to analyse large volumes of financial and operational data, improve audit coverage, identify unusual transactions, detect control weaknesses, and generate reliable evidence for audit conclusions.
The course provides extensive coverage of CAATs methodologies, audit data acquisition, data preparation, data cleansing, data validation, database analysis, spreadsheet auditing, financial data analytics, statistical audit techniques, sampling, substantive testing, compliance testing, control testing, and automated audit procedures. Participants will learn how to use computer-assisted techniques to analyse general ledger data, accounts payable, accounts receivable, payroll, procurement, inventory, revenue, cash transactions, fixed assets, and other financial datasets. Particular emphasis is placed on duplicate payment testing, Benford's Law, journal entry testing, unusual transaction analysis, sequence testing, gap detection, stratification, aging analysis, ratio analysis, trend analysis, and exception-based auditing.
Participants will develop practical competencies in extracting audit data from accounting systems, ERP platforms, databases, spreadsheets, and other information systems and converting that information into meaningful audit evidence. The programme addresses audit analytics, automated control testing, data visualization, audit dashboards, risk-based audit selection, exception investigation, electronic working papers, audit trails, data security, access controls, and evidence documentation. General case studies will demonstrate how CAATs can be used to identify fraud indicators, unauthorized transactions, duplicate invoices, fictitious suppliers, payroll anomalies, unusual journal entries, segregation-of-duties conflicts, and other financial and operational risks.
By the end of the training, participants will be able to design and apply computer-assisted audit procedures, extract and analyse audit data, perform automated tests, identify exceptions, investigate anomalies, document audit evidence, and communicate data-driven audit findings. The programme is suitable for organizations seeking to modernize internal audit, strengthen financial controls, improve audit efficiency, enhance fraud detection, and increase assurance over technology-enabled business processes. The training can be customized to participants' preferred audit software, accounting applications, ERP platforms, databases, spreadsheet environments, audit methodologies, and organizational data structures.

Course Objectives

1.     Understand the principles, objectives, applications, and benefits of Computer-Assisted Audit Techniques.

2.     Apply CAATs to financial, operational, compliance, information systems, and risk-based auditing.

3.     Extract, import, validate, cleanse, and prepare accounting and operational data for audit analysis.

4.     Perform automated audit testing across large volumes of financial and transactional data.

5.     Apply data analytics techniques to identify unusual transactions, errors, control weaknesses, and fraud indicators.

6.     Use CAATs for substantive testing, compliance testing, control testing, sampling, and exception reporting.

7.     Apply Benford's Law, duplicate testing, sequence analysis, stratification, aging analysis, and journal entry analytics.

8.     Develop audit dashboards, data visualizations, exception reports, automated audit procedures, and electronic audit working papers.

9.     Evaluate electronic audit evidence, data integrity, access controls, audit trails, and information security considerations.

10.  Develop sustainable CAATs implementation strategies that improve audit coverage, efficiency, evidence quality, and assurance effectiveness.

Organization Benefits

1.     Improves audit efficiency through automated and technology-enabled audit procedures.

2.     Enables auditors to analyse larger volumes of financial and operational data.

3.     Strengthens detection of errors, unusual transactions, fraud indicators, and control weaknesses.

4.     Improves audit coverage and reduces dependence on manual sampling alone.

5.     Enhances the quality, reliability, and timeliness of audit evidence.

6.     Strengthens internal controls through automated control testing and exception monitoring.

7.     Improves audit planning and risk assessment through data-driven insights.

8.     Supports continuous auditing, continuous monitoring, and technology-enabled assurance.

9.     Reduces audit processing time and improves productivity of audit teams.

10.  Builds sustainable organizational capacity in audit data analytics, CAATs, automated testing, and digital auditing.

Target Participants

The course is designed for Internal Auditors, External Auditors, IT Auditors, Information Systems Auditors, Audit Managers, Senior Auditors, Accountants, Financial Controllers, Forensic Accountants, Fraud Examiners, Risk Managers, Compliance Officers, Internal Control Specialists, Financial Analysts, Data Analysts, Business Analysts, ERP Specialists, Information Technology Professionals supporting audit functions, Governance Professionals, and other professionals responsible for audit, assurance, financial controls, compliance, risk management, and data analytics.

Course Outline

Module 1: Foundations of Computer-Assisted Audit Techniques

1.     Introduction to CAATs, computer-assisted auditing, digital auditing, audit automation, and technology-enabled assurance.

2.     Applications of CAATs in financial audit, internal audit, compliance audit, operational audit, IT audit, and forensic audit.

3.     CAATs audit planning, risk assessment, audit objectives, data requirements, scope definition, and audit methodology.

4.     Understanding audit data sources including ERP systems, accounting software, databases, spreadsheets, payroll, procurement, revenue, and banking systems.

5.     Electronic audit evidence, audit trails, data integrity, documentation, confidentiality, and professional audit standards.

6.     General Case Study: Developing a CAATs-based audit plan for an organization with large financial, procurement, payroll, and revenue datasets.

Module 2: Audit Data Extraction, Preparation and Validation

1.     Data extraction from accounting systems, ERP platforms, databases, spreadsheets, financial management systems, and operational applications.

2.     Importing audit data, data mapping, data profiling, data validation, and reconciliation with accounting records.

3.     Data cleansing, duplicate removal, missing values, inconsistent formats, invalid records, and data transformation.

4.     Designing audit-ready datasets, data dictionaries, field identification, audit trails, and documentation procedures.

5.     Data security, access controls, confidentiality, privacy, evidence integrity, and secure handling of audit data.

6.     General Case Study: Extracting and preparing accounts payable data for a CAATs audit while identifying missing, duplicate, inconsistent, and invalid records.

Module 3: CAATs for Financial Data Analysis and Audit Testing

1.     Automated substantive testing, compliance testing, control testing, analytical procedures, and exception-based auditing.

2.     Duplicate payment testing, duplicate invoices, unusual transaction values, round-number testing, and abnormal payment analysis.

3.     Benford's Law, statistical testing, trend analysis, ratio analysis, variance analysis, stratification, and aging analysis.

4.     Journal entry testing, revenue testing, expense testing, payroll testing, inventory testing, and fixed asset analysis.

5.     Sequence testing, gap detection, cutoff testing, transaction frequency analysis, and unusual timing analysis.

6.     General Case Study: Using CAATs to analyse a full year of financial transactions and identify duplicate payments, unusual journal entries, transaction gaps, and potential control violations.

Module 4: CAATs for Fraud Detection, Internal Controls and Risk Assessment

1.     Fraud detection using CAATs, financial anomaly detection, suspicious transaction identification, and fraud risk analytics.

2.     Identifying fictitious suppliers, ghost employees, duplicate vendors, unauthorized payments, and unusual employee transactions.

3.     Segregation-of-duties testing, user-access analysis, authorization testing, management override, and control exception identification.

4.     Continuous control monitoring, automated alerts, key risk indicators, control thresholds, and exception management.

5.     Linking audit analytics to enterprise risk management, fraud risk management, internal control frameworks, and audit planning.

6.     General Case Study: Applying CAATs to identify fictitious suppliers, unauthorized procurement transactions, and segregation-of-duties conflicts within an ERP system.

Module 5: Advanced CAATs, Audit Analytics and Visualization

1.     Advanced audit analytics, data mining, pattern recognition, correlation analysis, anomaly detection, and predictive audit techniques.

2.     Audit sampling using computer-assisted techniques, population analysis, stratification, risk-based selection, and statistical sampling.

3.     Data visualization for audit findings, exception analysis, risk indicators, control performance, and management reporting.

4.     Audit dashboards, automated exception reports, audit KPIs, key risk indicators, alerts, and continuous audit monitoring.

5.     Electronic audit working papers, analytical evidence, documentation, review procedures, quality assurance, and audit trail management.

6.     General Case Study: Developing an audit analytics dashboard showing high-risk transactions, control exceptions, fraud indicators, audit findings, and recommended management actions.

Module 6: CAATs Implementation, Audit Reporting and Continuous Auditing

1.     Developing a CAATs implementation strategy, audit analytics framework, governance model, resources, and technology requirements.

2.     Integrating CAATs into internal audit methodologies, audit planning, fieldwork, evidence collection, review, and reporting.

3.     Automating recurring audit tests, continuous auditing procedures, continuous control monitoring, and exception follow-up.

4.     Preparing data-driven audit reports, communicating analytical findings, documenting evidence, and developing corrective recommendations.

5.     Measuring CAATs effectiveness through audit coverage, productivity, exception rates, risk reduction, audit quality, and assurance outcomes.

6.     General Case Study: Developing an end-to-end CAATs implementation plan that automates financial, procurement, payroll, revenue, and compliance audit testing.

General Information

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.

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