Data Analytics Webinar
Internal audit teams in SME’s have more data-driven than earlier. Data quality is often overlooked by the vast amounts of data available for testing controls. End-users assume that the data they are using is free of corruption, errors, or omissions as it is sourced from a database. However, this is not always the case as data integrity errors are frequently detected, sometimes after the delivery of the final audit report.
In this webinar, you'll learn:
- About the multiple possible causes of data issues
- How to identify them using automated data analysis techniques that are familiar to auditors
- How timely and appropriate detection will allow auditors to ensure that their decision-making is based on data that has been comprehensively vetted
With the emerging technologies in the Data Analytics software industry, this session is of particular value to internal auditors at small and medium-sized enterprises as they are reliant on data to support their annual audit plan.
AGTech Convergence is an End to End IT solution provider specializing in customized services and solutions. It has the team of professionals in the areas of Risk Management, Assurance Services, Internal Audit, Fraud Management, IT Infrastructure and Information Security services working in tandem for its esteemed clients. We also conduct professional training in the areas of Data Analysis, Forensic Audit, Business Assurance Methodology, IT Security Audit, Digital Forensic & Intelligence integrated solution. For more information about Argon Global Convergence, please visit https://www.agconvergence.com/
To learn more about the MOTC - Ministry of Transportation & Communications, Qatar, please visit: https://godigital.motc.gov.qa/index.php/en/
Michael has 25 years of experience in data analytics and internal audit with organizations in the USA, Canada, and the Middle East.
From 2015 to 2019, he was a senior member of the data analytics practice at Focal Point Data Risk, a US-based professional services firm.
Prior to Focal Point, Michael led eBay, Inc.’s data analytics program in the Internal Audit department. He was tasked with integrating data analytics into the audit workflow on strategic and tactical levels. This included developing quality and documentation standards, training users, and providing analytics support on numerous audits in the IT, PayPal, and eBay marketplaces business areas. He also provided support to non-IA teams such as the Business Ethics Office and Enterprise Risk Management teams.
During his years at eBay, Michael supported audits throughout the organization in the IT, compliance, operations, vendor management, revenue assurance, T&E, and human resources areas. Michael's software experience includes Arbutus Analyzer, ACL Desktop/Direct Link, Alteryx, Microsoft Access, SQL, and Tableau.
He led ACL Services Ltd.’s global training team for 8 years. He is a graduate of the UCLA Anderson School of Management.