Explore how a top audit firm used Alteryx to automate GL analytics and review all transactions.
The client aimed to enhance their audit process, particularly in checking General Ledger data and identifying unusual transactions. Their manual approach was time-consuming, often leading to overlooked issues, especially during busy periods, which increased the risk of mistakes and reduced audit efficiency. The existing data analytics process was limited and needed a major upgrade.
The client is a renowned audit firm handling high volumes of financial data for large enterprises. As business transactions increased in complexity, so did the burden of reviewing them. Their teams were spending hours manually validating GL files, an outdated method that held back their data analytics process. Difinity Digital identified a strong opportunity to show how effective data analytics works in modern auditing. By introducing a scalable Alteryx-powered system, we aimed to eliminate repetitive work, ensure complete data coverage, and provide meaningful insights through the smart use of data analytics.
The client’s audit teams were spending up to 3.5 hours per GL file. Manual data review limited transaction coverage and often introduces human errors. During peak cycles, these inefficiencies became critical, delaying audit reports and reducing confidence in findings. They needed a solution that was not only fast but also consistent and scalable, without compromising on compliance or accuracy.
Difinity Digital implemented a full audit automation workflow using Alteryx. Our team used the best practices in how data analytics work to deliver precise results. This solution automated all 11 of the client’s standard audit checks, including Benford’s Law, high-value transaction detection, duplicate spotting, and date anomalies, across every single record.
The automated system produced clean, standardized exception reports and summaries for fast decision-making. Rule parameters could be adjusted based on audit type or client-specific logic. The results were integration-ready for dashboards or further analysis.
What once took hours was now handled in minutes, without manual errors or hurdles.
“This wasn’t just automation; it was building trust in numbers. We gave their team back time and gave their audits more power. With the right data analytics process, they could focus on insights instead of chasing spreadsheets. It’s about transforming how data analytics works, not just making it faster, but making it smarter, reliable, and audit ready.“
Manu George Michael, Director, Difinity Digital
–from Execution Team