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Format: Live instructor-led online training via Zoom / Microsoft Teams
Audit Analytics with Power BI Training Course is a comprehensive and practical professional programme designed to equip internal auditors, external auditors, finance professionals, risk managers, compliance officers, forensic accountants, and audit managers with advanced skills in audit data analytics, Microsoft Power BI, financial data visualization, automated audit testing, continuous auditing, and data-driven assurance. The course combines modern audit methodologies with Power BI business intelligence capabilities to enable participants to transform large and complex financial and operational datasets into meaningful audit insights. Participants will learn how to extract, prepare, model, analyse, visualize, and communicate audit data using interactive Power BI dashboards, reports, analytical measures, and automated exception monitoring.
The programme provides extensive coverage of audit data analytics, Power BI data acquisition, Power Query, data cleansing, data transformation, data modelling, relationships, calculated columns, DAX measures, visualization, dashboard development, financial analytics, risk analytics, fraud detection, and audit reporting. Participants will work with datasets from general ledgers, accounts payable, accounts receivable, procurement, payroll, revenue, inventory, fixed assets, banking, and other organizational systems. Particular emphasis is placed on audit-oriented analytical procedures such as duplicate payment detection, unusual transaction analysis, Benford's Law, journal entry testing, vendor analysis, segregation-of-duties review, aging analysis, variance analysis, trend analysis, exception reporting, and risk-based audit selection.
Participants will develop practical skills in building audit dashboards that provide timely insights into financial performance, internal controls, compliance, fraud indicators, and operational risks. The course covers Power BI data modelling, Power Query transformations, DAX calculations, KPI development, risk scoring, drill-through analysis, interactive visualizations, filters, slicers, automated refresh, dashboard publishing, and management reporting. Participants will also learn how to design repeatable analytical procedures and integrate Power BI into internal audit planning, fieldwork, continuous monitoring, continuous auditing, and audit follow-up. General case studies will demonstrate how Power BI can identify duplicate invoices, suspicious suppliers, unusual journal entries, payroll anomalies, unauthorized transactions, revenue irregularities, and control exceptions.
By the end of the training, participants will be able to develop professional audit analytics dashboards, perform advanced financial and operational data analysis, automate audit testing, identify anomalies and control weaknesses, and communicate data-driven audit findings to management and audit committees. The programme is suitable for organizations seeking to modernize audit functions, improve audit coverage, strengthen fraud detection, enhance internal controls, and establish data-driven continuous assurance. The course can be customized to participants' existing ERP systems, accounting software, audit methodology, financial datasets, Power BI environment, and organizational reporting requirements.
1. Understand the principles, applications, and benefits of audit analytics and data-driven auditing.
2. Develop practical skills in using Microsoft Power BI for financial, operational, risk, and audit data analysis.
3. Import, clean, transform, validate, and prepare audit datasets using Power Query.
4. Build effective Power BI data models and establish relationships between financial and operational datasets.
5. Apply DAX measures and calculations to perform advanced audit analytics and financial analysis.
6. Develop automated audit tests for duplicate transactions, unusual payments, journal entries, vendors, payroll, and other financial risks.
7. Create interactive audit dashboards, KPIs, risk indicators, exception reports, and management visualizations.
8. Apply Power BI analytics to fraud detection, internal control assessment, continuous monitoring, and continuous auditing.
9. Communicate data-driven audit findings effectively through interactive reports, dashboards, and executive audit presentations.
10. Develop sustainable Power BI audit analytics solutions that improve audit efficiency, coverage, evidence quality, and assurance effectiveness.
1. Modernizes internal audit through advanced data analytics and business intelligence.
2. Enables audit teams to analyse large volumes of financial and operational data efficiently.
3. Improves detection of fraud indicators, anomalies, duplicate transactions, and control weaknesses.
4. Enhances audit reporting through interactive dashboards and real-time or frequent analytical insights.
5. Strengthens risk-based audit planning using data-driven risk indicators and transaction analysis.
6. Reduces manual audit testing and improves efficiency through automated and repeatable analytical procedures.
7. Improves continuous auditing and continuous control monitoring capabilities.
8. Enhances communication between auditors, management, audit committees, finance, risk, and compliance teams.
9. Improves audit evidence quality through systematic data analysis, documentation, and visualization.
10. Builds sustainable organizational capability in Power BI, audit analytics, financial data visualization, and digital assurance.
The course is designed for Chief Audit Executives (CAEs), Internal Auditors, External Auditors, Audit Managers, Senior Auditors, IT Auditors, Information Systems Auditors, Accountants, Financial Controllers, Forensic Accountants, Fraud Examiners, Risk Managers, Compliance Officers, Internal Control Specialists, Financial Analysts, Data Analysts, Business Analysts, ERP Specialists, Finance Managers, Governance Professionals, and other professionals responsible for auditing, assurance, risk management, financial controls, compliance, data analytics, and management reporting.
1. Introduction to audit analytics, data-driven auditing, business intelligence, Power BI, and technology-enabled assurance.
2. Applications of Power BI in internal audit, external audit, forensic audit, risk assessment, compliance, and continuous auditing.
3. Audit analytics lifecycle including audit objectives, data requirements, data acquisition, analysis, interpretation, and reporting.
4. Identifying audit data sources including ERP systems, accounting software, databases, spreadsheets, procurement, payroll, revenue, and banking systems.
5. Audit data governance, data quality, confidentiality, access controls, evidence integrity, and analytical documentation.
6. General Case Study: Assessing an organization's audit function and identifying opportunities to use Power BI for financial, procurement, payroll, and compliance audit analytics.
1. Connecting Power BI to Excel, CSV, databases, accounting systems, ERP platforms, and other audit data sources.
2. Importing, profiling, cleansing, transforming, and validating financial and operational audit datasets.
3. Handling missing values, duplicates, inconsistent formats, invalid records, data types, and reconciliation differences.
4. Combining multiple audit datasets using append, merge, joins, queries, and data transformation techniques.
5. Developing repeatable Power Query workflows for standardized audit data preparation and automated refresh.
6. General Case Study: Combining general ledger, accounts payable, supplier, and payment datasets in Power BI and preparing them for automated audit testing.
1. Designing Power BI data models for audit analysis, including fact tables, dimension tables, relationships, and audit data structures.
2. Creating calculated columns, calculated tables, measures, and audit-specific analytical calculations.
3. Applying DAX functions for financial analysis, transaction analysis, risk scoring, exception identification, and audit testing.
4. Developing measures for transaction counts, values, averages, variances, aging, ratios, trends, and risk indicators.
5. Optimizing Power BI audit data models for performance, accuracy, scalability, and repeatable analysis.
6. General Case Study: Building a Power BI audit data model connecting general ledger, suppliers, invoices, payments, employees, and departments to analyse financial control risks.
1. Duplicate payment detection, duplicate invoice analysis, unusual transaction values, round-number testing, and exception reporting.
2. Journal entry analytics, revenue testing, expense testing, payroll analysis, procurement analytics, and cash transaction review.
3. Benford's Law, trend analysis, variance analysis, ratio analysis, aging analysis, and outlier detection.
4. Fraud analytics for identifying ghost employees, fictitious suppliers, unauthorized payments, unusual user activity, and suspicious transactions.
5. Segregation-of-duties analytics, access control testing, approval analysis, policy compliance, and continuous control monitoring.
6. General Case Study: Using Power BI to identify duplicate invoices, suspicious suppliers, abnormal journal entries, ghost employees, and segregation-of-duties conflicts.
1. Designing interactive Power BI audit dashboards for financial controls, fraud risks, compliance, operational performance, and audit findings.
2. Selecting appropriate charts, tables, cards, KPIs, slicers, filters, drill-downs, drill-throughs, and interactive visualizations.
3. Developing audit risk dashboards, exception dashboards, transaction monitoring dashboards, and control performance dashboards.
4. Creating audit KPIs, key risk indicators, thresholds, alerts, trend indicators, and management reporting metrics.
5. Publishing, sharing, refreshing, securing, and managing Power BI audit reports and dashboards.
6. General Case Study: Developing an executive audit dashboard showing high-risk transactions, fraud indicators, control exceptions, audit findings, and corrective action status.
1. Integrating Power BI into continuous auditing, continuous monitoring, audit planning, fieldwork, and audit follow-up.
2. Automating recurring audit tests, dashboard refreshes, exception identification, risk scoring, and analytical reporting.
3. Developing a Power BI audit analytics governance framework covering data ownership, quality, security, documentation, and review.
4. Measuring audit analytics effectiveness through audit coverage, exception rates, risk reduction, productivity, and assurance outcomes.
5. Developing organizational capacity, user training, analytics standards, dashboard maintenance, and continuous improvement processes.
6. General Case Study: Developing an end-to-end Power BI audit analytics implementation plan covering financial, procurement, payroll, revenue, compliance, and continuous control monitoring.
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.