The complexity of business operations and the volume of electronic data quite often makes it difficult for management to gain the detailed insights needed to identify financial losses, whether due to fraud or error and make the most informed strategic business decisions.
Utilising Deloitte's proprietary DTect™ methodology and almost 700 proven risk profiles, our AFT team identifies and isolates financial loss, suspicious financial transactions and entities; and validates existing relationships with employees, customers and suppliers.
We analyze large amounts of data to identify patterns and anomalies that may lead to the discovery of evidence of financial leakage, whether from fraud, corruption or error. Our methodology takes a systematic approach to data analysis that begins with assisting the client in locating, scoping, acquiring, testing, and verifying useful data. Once the data has been verified and migrated to a stable platform, we employ a variety of proprietary analysis tools and techniques to identify patterns and anomalies for further investigation.
This provides our clients with a large degree of comfort over the integrity of the data they hold to aid in protecting against potential fraudulent or erroneous behaviour and also highlights process and control irregularities/inefficiencies. Such analysis has been applied to a number of business functions: accounts payable and receivable, payroll, general ledger, fixed assets, inventory and expense cards.
In providing a holistic forensic data analytics support, the AFT team works closely with our experienced forensic investigators to assist in the analysis of large transactional data sets to identify and quantify transactions that may be fraudulent or indicative of other serious employee misconduct. Additionally, the use of data analytics to support litigation is used to quantify damages and provides complete and accurate evidence for expert reports in a timely manner.
For more information, please visit Deloitte Analytics.