
Fraud protection methods vs actual detection. What actually works?
In a recent blog post, I explored why automated data monitoring and surveillance is ineffective in detecting occupational fraud. In today’s post, I highlight the
Unnecessary or duplicate payments and invoices caused by inadequate financial system controls.
Wrongful or criminal deception resulting in financial or personal gain including false representation of fact.
Improper use of a process, system, or non-compliance with company policy or regulatory requirements.
We have more than a decade experience working with CFOs and Financial professionals helping to protect their businesses from financial waste and internal fraud.
We’ve worked with organisations in most industries, defining the most effective approaches to the biggest problems
Developed and continually improved by working alongside clients to create real solutions for real-world problems
We’re focused on implementation and delivery of value measured in days, not weeks or months
Supplier Due Diligence, Conflict of Interest detection and Organisation research
It’s no longer about detecting financial loss after it has occurred, it needs to be prevented from happening in the first place. With our approach, unusual activity is surfaced before it can develop into actual financial loss.
Detect, prevent and investigate threats of waste, fraud and abuse using the most effective software platform in the market today. Developed alongside client organizations to solve real-world problems while providing the most value possible.
3rdegree™ is currently offering the Guardian pilot programme to a very limited number of organizations. Let us analyze your data, identify immediate threats and collaborate with you to customize Guardian to meet your specific business needs. Register your interest now!
In a recent blog post, I explored why automated data monitoring and surveillance is ineffective in detecting occupational fraud. In today’s post, I highlight the
From business needs to technical requirements, a slew of challenges exist that hinder fraud detection software and data analytics from hitting the mark, not just
AIG Building
41 Shortland Street
CBD
Auckland 1010
New Zealand
AIG Building
41 Shortland Street
CBD
Auckland 1010
New Zealand
Suite 6
17 Rawene Road
North Shore
Auckland 1010
New Zealand
Suite 6
17 Rawene Road
North Shore
Auckland 1010
New Zealand