Forensic data analytics is the science of examining both structured and unstructured data in relation to incidents of financial crime. Data from systems and from databases is referred to as structured data, and is easily searchable, whereas unstructured data is everything else, and is often not easily searchable. The aim is to discover and analyze patterns of fraudulent activity and to find potential footprints of fraud or data error.

Specializing in the creation of custom models, data visualization and analyses, we have been able to identify, expose and demonstrate relationships, trends, and patterns within complex and seemingly disparate data sets. This information is often used to aid litigation and criminal investigations.

Our specialized knowledge helps identify patterns, unusual trends and outliers within large data sets and we have the ability to explain our findings in simple terms and in ways that are easy to understand.