Data Science, AI, and Advanced Analytics Saudi Arabia

Data Analytics for Auditors Training Course

The exponential growth of enterprise data has rendered traditional sample-based auditing obsolete, exposing organizations to undetected fraud and compliance failures hidden within massive transaction volumes. Data Analytics for Auditors is a structured methodology that integrates statistical analysis, data visualization, and automated testing into the audit lifecycle. It enables professionals to transition from retrospective sampling to full-population testing and continuous risk monitoring.

In this course, you bridge the gap between traditional audit methodologies aligned with IIA® standards and modern data-driven execution using techniques like Benford's Law, fuzzy matching, and predictive anomaly detection. Designed for internal auditors, IT auditors, fraud investigators, and compliance officers, this training equips you to extract, clean, and analyze complex datasets to uncover hidden risks. You will build automated exception reports, design interactive audit dashboards, and implement continuous auditing frameworks that provide real-time assurance. By mastering these analytical tools, you transform your audit function from a reactive compliance requirement into a proactive, evidence-based strategic advisor capable of navigating today's high-velocity digital risk landscape.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Addis Ababa Ethiopia
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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DAT-02 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

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Fully Customized

Content tailored to your industry, tools, and specific business challenges

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About the Course

Modern audit functions face a critical mandate: provide deeper assurance across larger datasets without expanding headcount. Relying on manual spreadsheets and limited sample sizes leaves critical vulnerabilities unexamined, particularly in high-risk areas like procurement, payroll, and financial reporting. To deliver credible assurance, you must demonstrate specific capabilities: extracting data from disparate ERP systems, validating data integrity, executing full-population testing, identifying statistical outliers, and visualizing risk concentrations. Guided by the ISACA® IT Audit Framework (ITAF) and IIA standards, this training provides the structured approach required to embed analytics directly into your annual audit plan and daily fieldwork.

This program transforms scattered data skills into a repeatable, defensible audit testing system. You will learn how to scope analytics-driven audits, acquire and normalize raw data, execute advanced testing scripts, and present findings to the audit committee. Specifically, you will gain hands-on practice building SQL queries for data extraction, applying Benford's Law for fraud detection, configuring fuzzy matching for duplicate payment identification, and designing Power BI® or Tableau® audit dashboards. While you will be introduced to advanced machine learning concepts for predictive risk modeling, the core focus remains on practical implementation: you will actively practice writing extraction scripts, building continuous monitoring frameworks, and generating automated exception reports that you can deploy immediately.

Implementing data analytics in audit environments often stalls due to fragmented data silos, legacy ERP constraints, and stakeholder pushback regarding data access. This course is explicitly designed for professionals operating under these real-world conditions. You will learn how to navigate data governance hurdles, validate data completeness before testing, and build a compelling business case for continuous auditing tools, ensuring your analytical initiatives deliver measurable ROI and withstand regulatory scrutiny.


Target Audience

This comprehensive training is structured for audit and risk professionals who need to integrate data analytics into their assurance methodologies. It bridges the gap between traditional audit principles and modern data science applications.

This course is designed for:

  • Internal Audit Managers overseeing the transition to continuous auditing frameworks
  • IT Auditors evaluating data governance and automated control effectiveness
  • Fraud Investigators utilizing forensic data analysis to detect financial anomalies
  • Financial Auditors executing full-population substantive testing on ledger transactions
  • Compliance Officers monitoring real-time regulatory adherence across enterprise systems
  • Risk Analysts designing quantitative risk assessment models for audit planning
  • Audit Data Scientists building automated exception reporting pipelines
  • Quality Assurance Reviewers validating the integrity of audit analytics scripts
  • Information Security Auditors analyzing access logs for segregation of duties violations
  • Chief Audit Executives reporting data-driven risk insights to the board

Course Objectives

This program provides a rigorous, step-by-step progression from data acquisition to advanced visualization, ensuring you can execute end-to-end analytical audits.

By the end of this course, you'll be able to:

  • Assess current audit data maturity using the IIA Data Analytics Framework to identify integration gaps
  • Extract transactional data from enterprise ERP systems using SQL queries for full-population testing
  • Cleanse raw audit datasets to ensure completeness and accuracy before executing substantive procedures
  • Apply Benford's Law and statistical profiling to identify anomalies in financial reporting and procurement
  • Execute fuzzy matching algorithms to detect duplicate vendor payments and ghost employee fraud
  • Design interactive audit dashboards in Power BI or Tableau to visualize risk concentrations for stakeholders
  • Implement continuous auditing scripts to automate routine control testing and exception reporting
  • Synthesize complex analytical findings into actionable audit reports that drive management remediation

Requirements & Prerequisites

Participants should have a working knowledge of standard audit methodologies, risk assessment principles, and basic Excel® proficiency. No prior coding or advanced statistical experience is required, as the course introduces data extraction and analysis techniques from the ground up.


Professional and Organizational Impact

Mastering audit data analytics elevates your professional capability, allowing you to deliver undeniable evidence and strategic value to your organization.

As a professional, you will benefit by:

  • Build defensible audit conclusions based on full-population testing rather than limited sampling
  • Gain technical proficiency in SQL, data visualization, and statistical fraud detection techniques
  • Strengthen your credibility with stakeholders by presenting evidence-backed, visual risk insights
  • Automate repetitive audit testing procedures to focus your time on high-value risk analysis
  • Develop continuous monitoring frameworks that provide real-time assurance over critical controls
  • Position yourself as a specialized audit analytics leader capable of driving digital transformation
  • Expand your investigative capabilities to uncover complex fraud schemes hidden in massive datasets

Organizations that embed data analytics into their audit functions achieve broader risk coverage, faster issue detection, and more efficient resource allocation.

Your organization will benefit from:

  • Reduce audit cycle times by automating data extraction and routine control testing procedures
  • Mitigate financial loss by detecting duplicate payments and fraudulent transactions early
  • Expand audit coverage to 100% of transactional populations, eliminating sampling risk
  • Enhance regulatory compliance through continuous monitoring of critical business processes
  • Standardize audit analytics methodologies across the department to ensure consistent quality
  • Improve board-level reporting with dynamic risk dashboards that highlight emerging threats
  • Maximize the return on existing ERP and data infrastructure investments through targeted analysis

Training Methodology

This is a practical, outcome-driven course designed to turn analytical aspiration into measurable action and credible reporting. We prioritize hands-on application over theoretical discussion.

Methodology includes:

  • Hands-on data extraction exercise writing SQL queries to pull general ledger transactions from a simulated ERP
  • Scenario simulation requiring the identification of procurement fraud using fuzzy matching and vendor master file analysis
  • Diagnostic assessment of your organization's analytics maturity against the ISACA ITAF guidelines
  • Stakeholder mapping exercise to negotiate data access protocols with IT and business process owners
  • Case study analysis of continuous auditing implementations in the financial services and manufacturing sectors
  • Group workshop producing a functional Power BI audit dashboard visualizing payroll anomalies under time constraints
  • Reflection exercise challenging traditional sampling methodologies using statistical variance evidence

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
27th Jun-19th Jul 2026

Nairobi

Kenya
USD 1,600
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 1,900
27th Jul-31st Jul 2026

Dubai

United Arab Emirates (UAE)
USD 4,100
29th Jun-3rd Jul 2026

Zanzibar

Tanzania
USD 2,400
22nd Jun-26th Jun 2026

Abuja

Nigeria
USD 2,800
29th Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 2,500
20th Jul-24th Jul 2026

Mombasa

Kenya
USD 1,700
22nd Jun-26th Jun 2026

Cape Town

South Africa
USD 3,900
22nd Jun-26th Jun 2026

Johannesburg

South Africa
USD 3,500
29th Jun-3rd Jul 2026

Kampala

Uganda
USD 1,900
20th Jul-24th Jul 2026

Pretoria

South Africa
USD 3,300
20th Jul-24th Jul 2026

Lagos

Nigeria
USD 2,500
22nd Jun-26th Jun 2026

Certification

Recognized credentials that advance your career

Participants who complete the Data Analytics for Auditors Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master cutting-edge data analytics tools essential for modern auditing.
  • Transform data into actionable insights to drive audit efficiency and effectiveness.
  • Leverage big data techniques to identify financial discrepancies faster than ever.

Expert Delivery

  • Learn from industry-leading auditors with decades of real-world experience.
  • Courses designed by audit professionals to meet the demands of current industry standards.
  • Benefit from personalized feedback on real-world data analytics scenarios.

Career Advancement

  • Elevate your resume with advanced analytics skills that top firms demand.
  • Unlock new career opportunities in auditing and beyond with certified data proficiency.
  • Gain a competitive edge in the job market with a certification in data analytics for auditing.

Industry Tools and Platforms Featured in this Training

The platforms and vendors Saudi Arabia teams are running today — taught against real configurations, not generic vendor demos.

6
  • Microsoft Excel Microsoft Corporation
    Widely used by audit and finance teams in Saudi Arabia for data cleaning, sampling, and exception testing, as well as building working papers and preliminary analytic checks before moving data into specialized tools.
  • Microsoft Power BI Microsoft Corporation
    Used by internal audit and risk teams to build interactive dashboards for continuous monitoring of key risk indicators, visualize anomalies across large transaction populations, and present audit findings to management.
  • Oracle E-Business Suite Oracle Corporation
    Deployed as a core ERP platform in various Saudi organizations, providing structured financial and operational data that auditors can extract for analytics, control testing, and fraud detection.
  • SAP S/4HANA SAP SE
    Implemented by large enterprises and public sector entities in Saudi Arabia, giving auditors a centralized source of transactional data for full‑population testing, segregation-of-duties analysis, and automated control monitoring.
  • ACL Analytics Galvanize (now part of Diligent)
    Used by some internal audit and compliance functions to run rule-based tests, identify duplicate or suspicious transactions, and automate data-driven audit procedures over large datasets.
  • CaseWare IDEA CaseWare International Inc.
    Adopted by audit teams for importing, profiling, and analyzing large data files from core banking and ERP systems to detect anomalies, outliers, and potential fraud patterns.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

SA Built for Saudi Arabia

How this course applies where you work

Local laws, real case studies, and data-points that make the curriculum land — not generic global theory.

The Regulations and Standards You’re Accountable To

Regulators, laws, and frameworks governing this discipline in Saudi Arabia — and exactly how the curriculum maps to each one.

5

Regulators

  • SAMA SAMA supervises banks, finance companies, insurance firms, and payment service providers in Saudi Arabia, requiring strong internal control, risk management, and internal audit functions; auditors in these institutions can use data analytics to evidence compliance with SAMA regulations and detect anomalies in financial and customer transactions.
  • CMA The CMA regulates and develops the Saudi capital market, overseeing listed companies and securities intermediaries; internal auditors use analytics to support accurate financial reporting, market abuse surveillance, and internal control effectiveness in line with CMA rules and corporate governance regulations.
  • ZATCA ZATCA administers zakat, tax, and customs in Saudi Arabia; organizations subject to its rules can apply data analytics in audits of VAT, e-invoicing, and customs-related transactions to verify compliance and identify discrepancies before inspections.
  • NCA The NCA issues cybersecurity frameworks and controls that entities in key sectors must follow; IT and internal auditors can use data analytics on system logs, access records, and incident data to monitor compliance with these cybersecurity requirements.
  • Tadawul As the securities exchange operator, Tadawul hosts listed companies that must comply with disclosure and governance requirements; internal auditors in these companies can leverage analytics to ensure timely, accurate disclosures and to monitor trading-related and financial reporting risks that may affect market transparency.

Frameworks the course aligns with

  • 01 Companies Law · 2015
  • 02 Capital Market Law · 2003
  • 03 Anti-Bribery Law · 1992
  • 04 Anti-Money Laundering Law · 2017

Business Results You Can Expect

How participants put this to work the week after training — and the measurable return their organisation can plan for.

How participants apply this

In Saudi Arabia, participants apply Data Analytics for Auditors techniques to large ERP and core banking datasets to move from sample-based reviews to full-population testing. Internal auditors use tools like Excel and Power BI to build risk dashboards that track high-risk vendors, unusual journal entries, and segregation-of-duties violations. Compliance and fraud teams apply methods such as Benford’s Law, fuzzy matching, and date/time analysis to identify suspicious payments, duplicate invoices, and policy breaches. In government and regulated sectors, auditors use these skills to document data reliability and produce evidence-backed findings that align with internal audit standards and local regulatory expectations.

Expected ROI

Within 6–12 months, organizations typically see faster audit cycles as automated tests and exception reports replace manual sampling and spreadsheet work. Internal audit functions gain deeper coverage over critical processes, reducing the likelihood that material frauds or control failures remain undetected in large transaction populations. Management benefits from clearer, dashboard-based reporting that highlights emerging risks in real time, enabling earlier interventions and better resource allocation. Over time, the audit function’s credibility increases as it delivers more insightful, data-driven recommendations that support strategic decision-making rather than just retrospective compliance checks.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

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Head of IT Audit Central Bank of Somalia, Somalia

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No. The course is designed around practical techniques that can be implemented using widely available tools such as Excel and Power BI, with optional exposure to scripting where appropriate. As long as you are comfortable working with spreadsheets and basic formulas, you can apply the core analytics methods to audit data from Saudi organizations.

Banks and listed companies in Saudi Arabia operate under prudential and securities regulations that expect robust internal control, risk management, and internal audit functions. Data analytics strengthens your ability to test controls over financial reporting, AML-related patterns, and operational risks, and supports more rigorous evidence for internal audit reports shared with boards and regulators.

Yes. The course focuses on concepts such as data extraction, cleaning, and pattern detection that apply regardless of the underlying ERP or core system. You will learn how to structure and test data exported from platforms such as SAP S/4HANA or Oracle E‑Business Suite to identify anomalies, trends, and control issues.

Yes. Techniques like Benford’s Law, duplicate and fuzzy matching, and time-series analysis are directly applicable to detecting unusual transactions, conflicts of interest, and other fraud indicators. These methods can support both proactive fraud monitoring and targeted investigations, complementing existing whistleblowing and compliance mechanisms.

It is. Public sector auditors face large volumes of procurement, payroll, and benefits data where analytics can significantly improve coverage and detection of irregularities. The same principles of data quality assessment, anomaly detection, and dashboard reporting can be applied to support oversight, performance audits, and compliance with national policies.

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