Arbutus Analytics is a powerful and versatile data analysis platform, used across audit, compliance, and data-driven functions.
This raises a natural question: how is it used in practice?
While it is not possible to cover every application, the examples below illustrate how Arbutus Analytics can be applied to real-world scenarios, helping organisations analyse data, identify patterns, and support decision-making.

Indeed, we are documenting a libary of “use cases” to illustrate some of the uses Arbutus Analytics might be put to …
Arbutus Analytics use cases
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Arbutus – Overview of data analysis features
Some call Arbutus Analyzer the data analysis “Swiss army knife” or the data analytics toolbox because it can be used for so many things.
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Identify SoD issues with data analysis
In this use case, we illustrate step by step how you can identify SOD issues using Arbutus Analyzer (a versatile data analytics tool).
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What is Arbutus Analyzer?
Arbutus Analyzer is a powerful data analysis software that auditors, fraud investigators and others use to access and analyze data quickly and simply.
These examples provide a starting point, but each organisation’s context and data are different.
A guided evaluation can help assess how Arbutus Analytics would perform in your organisation, with your data and supporting your processes.
→ Learn more about evaluation
Supporting your organisation with Arbutus Analytics
If you would like to explore how Arbutus Analytics could support your audit, compliance, or data analysis activities, we would be pleased to discuss your situation and objectives.
Further examples through webinars
In addition to written use cases, a number of webinars demonstrate how Arbutus Analytics can be applied in practice. These sessions provide step-by-step illustrations and practical explanations.
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Basic data analysis concepts
This is a recording of the webinar on basic data analysis concepts, using Arbutus Analyzer.
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Continuous Assurance with data analysis
This is a recording of the webinar on Continuous Assurance with data analysis, hosted by Neil Macdonald and Alain Rousseau.
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Develop your own advanced fraud indicators
In this webinar we show how to develop your own advanced fraud indicators on transactions such as outliers, one-time vendors, trends and more.






