ARTICLE
2 October 2012

A fair day's wage for a fair day's work: Detecting payroll underpayments through data analytics

K
KordaMentha

Contributor

KordaMentha, an independent firm in Asia-Pacific, specializes in cybersecurity, financial crime, forensic, performance improvement, real estate, and restructuring services. With a diverse team of almost 400 specialists, they provide customised solutions to help clients grow, protect from financial loss, and recover value. Trusted since 2002, they deliver bold, impactful solutions for clients.
Data analytics techniques can detect payroll underpayments to avoid the potential risks and publicity of an FWO audit.
Australia Employment and HR
KordaMentha are most popular:
  • in Europe

Are you underpaying your employees?

Over recent months,media reports have highlighted a number of cases of employee underpayments, ranging from suburban restaurants to multi-national organisations. According to the Fair Work Ombudsman (FWO), a random audit of approximately 2,000 retail business found 26% were breaking workplace laws and/or regulations, on most occasions by underpaying their employees.

In this article Andre Menezes and Ericsson Leung of our Data Analytic team explain how non-intrusive data analytics techniques can be used to assist organisations in detecting payroll underpayments, thereby avoiding the potential risks and adverse publicity of an FWO audit.

Download PDF

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

Mondaq uses cookies on this website. By using our website you agree to our use of cookies as set out in our Privacy Policy.

Learn More