Predict. Detect. Respond.
We help organizations predict and detect fraud risks. We review and investigate suspicions of fraud, and unethical behaviour by employees or third parties. An early response to reported fraudulent behaviour can reduce financial and reputational damage. Find out how to deal with such situations.
We assist with the efficient processing and analysis of large data volumes
Fraud investigations, dispute resolutions and regulatory assignments increasingly revolve around information collected, stored and processed on computers.
Our forensic technology and data analysis practice is an essential component of almost every financial investigation.
How we can help
I. Forensic data analyses (FDA)
Forensic data analysis is the collection, modelling and transformation of data in order to identify and highlight potential risk areas, detect non-standard or fraudulent transactions, and set up internal controls and processes to minimize the risk of fraud.
Data mining (AKA data or knowledge discovery) is the analysis of data from different perspectives and its transformation into applicable information that can be used to increase revenue and cuts costs.
Forensic data analysis tools include analytical data processing software. This allows our forensic team to analyse data from multiple perspectives, and categorize and examine it to review suspected fraudulent behaviour, or weaknesses in analysed processes.
Sophisticated fraudsters are able to circumvent common detection systems, and are constantly changing their methods to reduce the risk of detection. Using our computer forensics technology, our experts process electronic data using a range of analytical techniques to identify trends, transactions and relationships in data that may be indicative of fraud or abuse.
During a forensic investigation, we use our advanced analytical capability and deep technical experience to help you quickly and efficiently address issues. We deploy sophisticated analytical approaches to gain a deeper and more complete understanding of what has occurred and how similar problems can be prevented. We also work proactively with you to detect inefficiencies and anomalies in your systems, targeting cost recovery and identifying potential issues before they happen.
Advanced and predictive analysis
We systematically scope, acquire, load, validate and maintain structured (eg transactional) and unstructured (eg text) electronic data and use rule-based inductive and visual techniques to:
- Uncover evidence of fraud schemes and scenarios
- Develop models that depict or describe historical events
Business users often face a lack of visibility regarding their data, and limited options for manipulating and exploring information affecting their business. Our data visualization capabilities allow complex data structures, relationships, and trends to be viewed and navigated, even when using unstructured or abstract data. Visualization is a method for unlocking data and unstructured content to answer the question: “What do I need to know?”
II. eDiscovery solutions
Locating data for investigations
Are you looking to preserve data on a mobile device? Or working to improve the efficiency of a document review? Whatever the issue, our professionals offer your company the skills technology, and global network required to help you control costs and mitigate risk.
Our cybercrime and computer forensic professionals will help you find relevant data by collecting, preserving, and harvesting data.
We provide a range of services, including:
- Collecting data in a wide range of formats and media (including hard copy) nationally and internationally
- Navigating IT systems to uncover information that may be recoverable from computer hard drives and backup tapes, including active, deleted, hidden, lost or encrypted files, or file fragments
Forensic document reviews
Our professionals offer organizations and their legal counsel efficient and timely assistance with document review during complex business disputes and investigations, including handling issues regarding privilege, and categorization of issues.