Course Introduction
The Power BI for Audit Analytics and Financial Reporting Training Course equips financial auditors, accountants, assurance professionals, and finance teams with practical skills for using Power BI to transform complex financial and operational data into meaningful audit insights and management information. The course connects business intelligence techniques with audit objectives, financial reporting requirements, control evaluation, analytical procedures, and evidence-based decision-making.
The program provides a structured understanding of how Power BI can support the financial audit lifecycle, from data acquisition and preparation through risk assessment, transaction analysis, substantive testing, exception investigation, financial statement analysis, and audit reporting. Participants will learn how to develop analytical solutions that help identify unusual transactions, financial trends, control exceptions, reconciliation differences, and areas requiring additional audit attention.
A major component of the course focuses on connecting and transforming data from general ledgers, trial balances, accounts payable, accounts receivable, payroll, procurement, revenue, expenses, banking systems, fixed asset registers, inventory systems, and other sources. Participants will learn how to assess data quality, structure analytical datasets, create relationships between tables, and develop reliable models that support repeatable financial reporting and audit analytics.
Participants will develop practical capabilities in Power BI data modeling, Power Query, DAX calculations, measures, calculated columns, filters, drill-down analysis, visualizations, dashboards, and interactive reports. These capabilities will be applied to audit-focused scenarios such as transaction population analysis, journal entry testing, variance analysis, aging analysis, account reconciliations, exception reporting, fraud-risk indicators, and financial performance monitoring.
The course also addresses the governance and assurance risks associated with business intelligence environments. Participants will examine data integrity, access controls, sensitive financial information, report permissions, data lineage, refresh processes, source-system dependencies, automated calculations, dashboard reliability, and the risks of inappropriate interpretation of analytical outputs. The program emphasizes professional skepticism and the need to corroborate significant analytical exceptions with appropriate audit evidence.
Through practical exercises and integrated case studies, participants will build Power BI dashboards and analytical reports covering financial statements, general ledger activity, expenditure, revenue, procurement, payroll, receivables, payables, cash, and fraud indicators. The course enables participants to move from static financial reports toward interactive, repeatable, data-driven audit and assurance processes that improve visibility, exception detection, analysis, and communication.
Duration
5 days
Who Should Attend
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Financial auditors seeking practical Power BI skills for audit analytics and financial reporting.
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Internal auditors performing financial, operational, compliance, and risk-based audits.
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External auditors using data analytics to support substantive and analytical audit procedures.
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Audit managers and supervisors responsible for reviewing analytics-based audit outputs.
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Accountants responsible for financial reporting, management reporting, and financial analysis.
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Finance managers seeking interactive dashboards for financial performance and control monitoring.
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Audit data analysts supporting financial audit and assurance engagements.
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Forensic auditors analyzing large financial transaction populations and fraud indicators.
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Risk and compliance professionals developing risk and exception dashboards.
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Internal control specialists monitoring financial process performance and control exceptions.
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Accounts payable and accounts receivable professionals analyzing transaction populations and aging.
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Treasury and cash management professionals developing liquidity and transaction monitoring reports.
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Management reporting professionals seeking to improve financial information visualization.
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Information systems auditors reviewing financial data, reporting environments, and technology-enabled controls.
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Professionals transitioning from spreadsheet-based financial analysis to interactive business intelligence.
Course Objectives
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Develop practical skills in using Power BI to analyze financial data and support financial audit, assurance, reporting, and control evaluation activities.
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Understand how Power BI can be integrated into audit planning, risk assessment, substantive testing, analytical procedures, exception analysis, and audit reporting.
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Import, transform, clean, validate, and organize financial datasets from multiple sources while maintaining data integrity and analytical traceability.
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Build effective data models that connect general ledger, subledger, operational, master-data, and financial reporting information for comprehensive analysis.
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Use Power Query to automate data preparation and create repeatable processes for recurring audit analytics and financial reporting activities.
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Apply DAX measures and calculations to perform financial analysis, ratios, variances, aging analysis, trend analysis, and audit-focused analytical procedures.
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Design interactive dashboards that highlight financial trends, transaction exceptions, control indicators, reconciliation differences, and key audit risks.
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Apply Power BI analytics to identify unusual transactions, potential fraud indicators, duplicate activity, abnormal movements, and other exceptions requiring investigation.
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Evaluate data governance, access, security, refresh, calculation, source-system, and reporting risks that may affect the reliability of Power BI outputs.
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Produce professional Power BI audit and financial reporting solutions that clearly communicate analytical findings while maintaining appropriate evidence, documentation, and professional judgment.
Comprehensive Course Outline
Module 1: Power BI for Audit and Financial Reporting Fundamentals
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Understanding the role of Power BI in modern financial audit, assurance, management reporting, risk analysis, and continuous monitoring.
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Translating audit objectives, financial reporting requirements, assertions, risks, and control objectives into meaningful Power BI analytical questions.
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Reviewing the Power BI environment, including Power BI Desktop, data preparation, modeling, visualizations, reports, dashboards, and publishing concepts.
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Designing an audit analytics workflow covering data acquisition, transformation, modeling, analysis, exception identification, validation, reporting, and documentation.
Module 2: Financial Data Sources, Import, and Data Preparation
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Connecting Power BI to general ledgers, trial balances, spreadsheets, accounting systems, ERP platforms, payroll systems, banking records, and operational databases.
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Using Power Query to clean, transform, merge, append, filter, standardize, and prepare financial data for audit and reporting purposes.
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Identifying data-quality problems involving duplicates, missing values, inconsistent coding, incorrect dates, invalid records, incomplete populations, and inconsistent formats.
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Establishing procedures for validating source data completeness, accuracy, integrity, relevance, and consistency before using it in audit analysis.
Module 3: Data Modeling for Financial Audit Analytics
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Building structured data models using financial transaction tables, master-data tables, account dimensions, calendar tables, organizational dimensions, and other analytical structures.
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Creating appropriate relationships between general ledger, accounts payable, accounts receivable, payroll, procurement, revenue, expense, and other financial datasets.
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Understanding data-model design concepts that affect report accuracy, performance, filtering behavior, aggregation, and audit analysis.
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Applying data modeling techniques to support repeatable financial reporting, transaction testing, reconciliation analysis, exception reporting, and audit dashboards.
Module 4: DAX and Financial Audit Calculations
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Developing DAX measures for financial balances, transaction counts, account movements, ratios, variances, percentages, and other audit and reporting calculations.
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Applying DAX to calculate period comparisons, year-to-date activity, budget-to-actual differences, aging categories, financial ratios, and exception indicators.
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Using calculated columns, measures, filter context, conditional calculations, and time-intelligence concepts in financial reporting and audit analytics.
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Validating DAX calculations against source records, independent calculations, trial balances, and other reliable information before relying on analytical results.
Module 5: General Ledger, Journal Entry, and Transaction Analytics
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Building Power BI analyses for general ledger populations to identify unusual account activity, transaction concentrations, abnormal movements, and unexpected posting patterns.
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Developing journal entry analytics covering manual entries, period-end postings, unusual users, unusual amounts, unusual dates, and high-risk account combinations.
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Applying population-based testing to identify duplicate transactions, missing sequences, round-dollar transactions, threshold activity, and unusual transaction timing.
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Connecting analytical exceptions to audit assertions, supporting documentation, management explanations, control procedures, and substantive audit follow-up.
Module 6: Financial Reporting and Performance Dashboards
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Designing interactive financial statement dashboards covering revenue, expenses, assets, liabilities, cash flows, account balances, and key financial performance indicators.
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Building budget-versus-actual reports and analyzing financial variances by department, project, cost center, account, program, location, or reporting period.
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Creating management dashboards that provide drill-down capability from summarized financial indicators into underlying transactions and account activity.
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Applying visualization principles to communicate significant financial movements, trends, risks, exceptions, and analytical conclusions clearly and accurately.
Module 7: Audit Exceptions, Fraud Analytics, and Risk Indicators
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Developing Power BI analyses to identify duplicate payments, unusual vendors, abnormal expenses, suspicious journal entries, unusual revenue patterns, and other financial exceptions.
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Applying anomaly-focused analysis to transaction amounts, dates, users, suppliers, customers, accounts, locations, and other relevant dimensions.
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Developing fraud-risk dashboards that highlight unusual transaction concentrations, control overrides, threshold splitting, unexpected relationships, and other indicators requiring investigation.
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Evaluating analytical exceptions using professional skepticism and corroborating significant results with source documents, confirmations, interviews, reconciliations, and other audit evidence.
Module 8: Reconciliations, Controls, and Continuous Monitoring
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Building Power BI reconciliation reports comparing general ledger balances with bank records, subledgers, supplier accounts, customer accounts, payroll records, and other supporting information.
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Developing control-monitoring dashboards for approval exceptions, segregation-of-duties conflicts, overdue reconciliations, unusual adjustments, and unresolved transaction exceptions.
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Designing recurring analytics that can support continuous auditing and continuous monitoring of financial transactions, balances, control indicators, and risk conditions.
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Establishing refresh, exception escalation, investigation, and follow-up processes to ensure that analytics generate actionable information rather than isolated reports.
Module 9: Power BI Governance, Security, and Audit Evidence
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Understanding Power BI security concepts including access permissions, role-based access, sensitive financial data protection, sharing controls, and reporting confidentiality.
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Assessing risks associated with data refresh failures, source-system changes, incorrect relationships, calculation errors, unauthorized modifications, and incomplete analytical populations.
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Establishing data lineage, source documentation, calculation validation, report controls, and audit trails that support confidence in Power BI-generated information.
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Documenting Power BI analytical procedures, data sources, transformations, calculations, exceptions, validation steps, evidence, limitations, and conclusions within audit working papers.
Module 10: Integrated Power BI Audit and Financial Reporting Case Studies
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Building an end-to-end financial audit dashboard covering general ledger transactions, account movements, journal entries, exceptions, and key financial indicators.
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Developing practical Power BI reports for accounts payable, accounts receivable, payroll, procurement, revenue, expenses, cash, inventory, and financial reconciliations.
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Creating an integrated fraud-risk and control-monitoring dashboard that prioritizes unusual transactions, exceptions, control indicators, and areas requiring investigation.
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Completing a practical case study that combines Power Query, data modeling, DAX, financial reporting, audit analytics, visualization, exception analysis, and evidence-based reporting.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
