When: Oct 15, 2019 1:00 PM
Location: AuditNet LLC
Ticket Price: $0.00
In my years leading data analytics projects and teams, I have come across several different structures for the integration of DA. Some were at large multinational corporations and others were at small- and medium-sized organizations, including government bodies. Today, we'll look at four different models for the management of data analytics in Internal Audit departments. The key characteristics of each model will be described, as well as the strengths and weaknesses.
Participant Outcomes: By the end of this session, participants will be able to identify the model which best fits their organization.
Participants: IA and DA leadership.
Michael is a recent addition to the Arbutus Software team. He 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.