Webinar: Audit Analytics and the Agile Auditor: Starting an Analytics Project

Jul 24 2018
Online Event

Everyone is talking about the disruption that will impact auditors work as businesses deploy technology and analytics at an accelerated pace. The agile auditor is preparing NOW for these changes and acquiring the skills necessary to practice effective analytics.

But, the huge challenge is taking that first step from where auditors are now, to where we want to go.

In this session, Dr Deniz Appelbaum will explain how to start an analytics project by sharing a broad overview of the benefits of analytics and a framework for project creation. Special insights will be provided on data preparation, as this is a major bottleneck for many data projects, along with real case studies to demonstrate the importance of data quality and audit objective alliance.

Learning Objectives

  • Learn how to build a framework for an audit analytics project and customize it based on audit objective, data and software tools available
  • Discuss the issues of data quality and gain tips to prepare the data for analysis
  • See these concepts with real case data and applications of projects that worked
  • Have your concerns about getting started with an analytics project and how to successfully complete it addressed

Register for the webinar

Audit Analytics and the Agile Auditor: Starting an Analytics Project
Date and Time: July 24, 2018, from 1:30 – 2:30 ET
Presenter: Dr Deniz Appelbaum, PhD, Assistant Professor 
 
 
 
Meet the Presenter

Dr Deniz Appelbaum is an Assistant Professor in the Department of Accounting and Finance at the Feliciano School of Business of Montclair State University. She enriches her academic pursuits with a practical view, after twenty years of experience in operations, credit, and business development in the corporate world. Dr Appelbaum has published manuscripts in Accounting Horizons, Journal of Emerging Technologies in Accounting, Auditing: Journal of Practice and Theory, and in other academic and practitioner journals, based on her research regarding analytics, big data, and automation in financial auditing and fraud detection.