Arbutus 9.1
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Choosing the right type of graph can be a quick shortcut to making your point. In this webinar, we examine the different types of graphs and the selection criteria for maximum impact.
Review some principles of mathematical precision and processing. Learn to identify some unfamiliar date formats and how to manage them effectively.
Understand the current state of Low Code/No Code functionality and review the benefits as well as possible areas of concern. Sharing examples of how to build such analytics with a focus on the new Arbutus version 7 workflows.
We'll provide an approach you can use to identify the data, the analytics, and the recommendations that you can make - based on the results of your analysis. We'll demonstrate how to use Arbutus Analyzer to perform analytic procedures that you can easily re-perform yourself.
In this session, we raised awareness about the various types of frauds and how they can be detected using automated data analysis techniques. Take a look at the *ACFE Report to the Nations - 2020 Global Study on Occupational Fraud and Abuse.
Presented in two parts. Part 1: Learn about the data you should target for searches, the many ways to search for keywords, and which keywords to look for. Part 2: Take a look at what data characteristics are worth examining for potential concentrations and how to integrate them into your analytics.
Most users are not aware of the variety of character sets, underlying binary codes and non-printable characters. This webinar will cover the basics of data including file formats and structures, metadata, and data types. Learn to understand the implications of data conversion and how to reduce the need for technical support.
Assessing the risk when auditing journal entries can be challenging, and the topic lends itself well to data analytics. We'll examine multiple metrics that contribute to the risk assessment of the individual postings as well as the accounts and employees concerned.
Establish a more impactful & sustainable framework for Analytics. This webinar showcase how data analytics can help drive organizational learning (human and machine) from the various remediation processes.
[Simplify Your Fuzzy Duplicates Testing] With live demonstration of Arbutus Analyzer’s versatile functionality, learn how users are able to detect possible duplicate payments and identify possible risks.
Presented by ATCO. This session explains how they have evolved its Internal Audit practice through embedding Data Analytics within its Audit Shop.
Organizations can take a proactive approach to fraud detection and prevention using forensic data analytics. Learn to apply the latest analytic techniques to detect fraud, design agile exception reports and find simple ways to delegate exception analytics.
Presented by Arbutus Partner, Scillani Information AB, Arbutus Partner, Sweden and Arbutus. 1. Accounts Receivable. 2. Accounts Payable. 3. Cash Accounts
Combine audit-specific analytics with data visualization tools to drive improved performance, better outcomes and more business value. Learn why data-driven auditing can save time and increase audit assurance, coverage and quality.
This webinar explains the significance of outliers when testing transactions and demonstrates steps to identify outliers using statistical methods.
Understand the four different models for the management of data analytics in Internal Audit departments. Learn the key characteristics of each model, as well as strengths and weaknesses.
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