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Instructor
Bonnie Kennedy
Instructor
Bonnie has nearly 20 years of experience in the accounting profession in public and private industry. She began in public practice with a regional accounting firm in New England before taking a position as the Controller and CFO of a manufacturing firm. Bonnie is now a full-time faculty member at an accredited university. With the regional CPA firm, Bonnie was involved in recruiting, interviewing, and mentoring new staff. She also designed and conducted CPE programs for the firm. After initial exposure to taxation and attestation work, Bonnie specialized in audits of manufacturing companies and not-for-profit entities. She has taught accounting and auditing courses at both the graduate and undergraduate levels, published articles in scholarly journals, and presented at national conferences. Bonnie is a member of the AICPA and the Rhode Island Society of CPAs.
This course introduces how data analytics can be used to improve engagement quality and efficiency. Participants explore the use of data analytics to assess risk, support financial statement assertions, assess internal controls and uncover fraud. Apply the ADA IDEAS© approach to using data analytics on engagements to ensure compliance with audit and review standards and to provide value-added services to clients. All of AHI's multi-day courses rely on live participant engagement. For this 2-hr. course, we encourage you to have a working webcam and microphone to take advantage of a live discussion leader and participant interaction.
Improve staff members' knowledge of when and how to use data analytics to improve engagement quality and efficiency. Understand how accountants use descriptive, diagnostic, predictive and prescriptive analytics. Use the ADA IDEAS© approach to using data analytics on firm engagements. Become familiar with commonly used data visualization methods. Use accounting data analytics to add value to engagements.
Accounting Data Analytics
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Accountants/Auditors with limited experience in data analytics who are interested in how to use audit data analytics on audit and accounting engagements.