Quantitative Analysis for Auditors: Introduction to Data Analysis

Learning Objectives

• To identify quantification, operational research, and models for data analysis
• To recognize the importance of mathematical basics for audit data analysis
• To explore analytical review procedures for analysis of audit data
• To discuss regressions analysis as a key method for audit analysis
• To recall linear programming and charting as a method to analyze audit data 
• To explore the implementation of queuing, game theory, and simulations for audit data analysis
• To discuss statistical sampling methods as a key input for audit data analysis

Course Description

Every auditor tries to have quality audit findings. It means solid, fact-laden findings, accompanied by helpful, innovative auditor recommendations to help correct those findings, not only help by identifying significant shortfalls within the quality system, process or product but launch the corrective action process even before the audit report is written and distributed! 

In order to ensure that, it is required that the auditors use quantitative analysis methods. They can provide useful findings that have the potential to affect key areas such as product quality, reliability, safety, and more. Increased business understanding, better focus on risk, increased consistency across group audits, increased efficiency, easy data manipulation, increased chances of fraud detection, sharing useful information with clients, and chances of detecting certain types of fraud or the ability to identify inefficiencies and opportunities for a clients’ business – are some of the key benefits of implementing quantitative analysis in the audit process. In this Online CPE Auditing webinar, the speaker Richard Cascarino provides key methods that can be vital to the auditors for data analysis. 

This online CPE Auditing webinar covers the following Key Topics: 

• Quantification, Operational Research, and Models
• Mathematical Basics
• Analytical Review Procedures
• Regression Analysis
• Linear Programming and Charting
• Queuing, Game Theory, and Simulations
• Stat Sampling

Richard has been providing internal audit, fraud audit, information security consultancy, risk management, and corporate governance consultancy for over three decades. He has a relevant practical approach in explaining key concepts. With his opinions and experience poured into the webinar course, the attendees will get key insight that can prove to be a long-term value.

Overview

• Audit advantages

  7 mins
• Use within internal Audit

  15 mins
• Probability distributions

  40 mins
• Liquidity ratios

  56 mins
• Statistical & Non statistical concepts

  86 mins
• Primary types of sampling

  107 mins
• Calculating the sample size

  147 mins