That’s not surprising to us. In more than 200 model audits carried out by Numeritas, only one model had no errors in its numerical output.

The culprit is often overconfidence – the “Alpha” mindset that assumes our work is airtight. The solution is straightforward, but often neglected: testing.

In this webinar, Stephen Aldridge explores why spreadsheet modelling is more prone to error than software development, introduces a variety of testing approaches used at Numeritas, and demonstrates some of the tools that can make the process faster and more effective.

What you’ll learn:

• Why structural weaknesses and Alpha overconfidence lead to pervasive model errors
• How adopting software-style testing – down to formula-level checks – can dramatically reduce risk
• The specific testing methods Numeritas uses to uncover hidden errors
• Tools and techniques that make testing more efficient and reliable
• Real-world examples and insights from auditing hundreds of models

Who is this webinar for:

• Financial modellers and analysts looking to improve model reliability
• Finance leaders relying on spreadsheet outputs for critical decisions
• Anyone who builds, reviews, or uses spreadsheet models and wants to minimise errors and boost confidence

If you want to stop spreadsheet errors from undermining your work and start building models you can trust – this is your chance to learn how.