REGISTRATION FOR THIS MEETING IS NOW FULL
February Lunch Meeting
Topic: Leveraging Data Analytics and Continuous Auditing to Transform Internal Audit
Date: Tuesday – February 11, 2014
Presenter: Jim Littley, Principal, KPMG
Eric Hammond, Manager, KPMG
Location: GAIC Dixie Terminal
49 E. 4th St., Cincinnati, OH 45202
Cost: Free for members (February is member appreciation month).
$45 for non-members.
No Refunds within 48 hours of event.
CPE: 2 CPE Hours
Please RSVP by 12:00 noon on Friday, February 7, 2014 with the Programs Committee using the "Register Me" link below.
Step 1 (RSVP): Use the "Register Me" link below to make your reservation.
Please Include Name, Member Number, Company and Contact Information in the email.
If RSVPing for multiple staff members, please include all of the attendee names.
Step 2 (Pay online): Once RSVP is submitted (Step 1 above), please pay using the applicable PayPal button below. You can use a credit card or a PayPal account.
February is Member
If you are a member of The IIA Cincinnati Chapter and are currently unemployed and would like to attend this luncheon, please contact Brian Arkenau at email@example.com for registration.
Data analytics and continuous auditing are not new concepts, but their appeal appears to be rising. According to interviews with KPMG clients, the desire to effectively leverage data analytics and achieve continuous auditing within an internal audit function remains strong. And amid today’s complex business environment, it is easy to see why.
Organizations are increasingly exposed to a variety of new risks such as growing compliance regulations, fraud schemes, operational inefficiencies, and errors that can lead to financial loss or reputational damage. As a result, organizational efforts to adopt innovative ways to assess and manage risk and enhance performance are critical. And that’s where data analytics and continuous auditing are helping. If implemented properly, data analytics and continuous auditing have long been viewed as processes that can help Internal Audit departments simplify and improve the audit process through increasing operational efficiencies, reducing costs, and detecting potential fraud, errors, and abuse earlier—all while providing a higher quality audit. It is also increasingly becoming a way for organizations to create value. Further, the use of data analytics tools and techniques is helping to fundamentally transform and improve audit approaches.
So, what are the most common scenarios seen today for implementing continuous auditing? How can your organization take a similar approach? What steps are needed to secure successful implementation? How are Internal Audit departments best leveraging data analytics? This presentation explores common scenarios and applications that describe how leading organizations and Internal Audit departments are using continuous auditing techniques and leveraging data analytics to achieve audit objectives. It also identifies some of the common pitfalls that can be avoided through awareness and proper planning. In addition, it provides insight on how to move forward with your data analytics and continuous auditing plans.
Jim Littley is a Principal in KPMG LLP’s Risk Consulting practice. He is KPMG’s Global and Americas leader for Continuous Auditing & Continuous Monitoring Services. Jim has over 26 years of experience providing advisory services to clients in the areas of risk assessments, forensic investigations, regulatory compliance, contract compliance, data analytics, and continuous auditing and continuous monitoring across a variety of industries.
Eric Hammond is a Manager in KPMG’s Risk Consulting practice in Cincinnati with more than 9 years of internal audit risk and consulting experience serving clients in a broad range of industries. He has a background in conducting financial, operational, and compliance internal audits, executing IT audits, performing QARs, integrating data analytics strategies, and evaluating and implementing financial processes and controls. In addition, he is a member of the KPMG Internal Audit Data Analytics Initiative.