Forensic Data Analytics (FDA) is a complex process of analysis of massive structured and unstructured datasets obtained from various accounting, financial, manufacturing and management systems in order to identify artifacts of fraud, abuse, misconduct, waste and violation of internal controls. This process combines the wide use of different methods of data processing, statistical and quantitative analysis, as well as explanatory and predictive models to search for problem areas and issues that require further study and review.

Our consultants have extensive experience in dealing with massive data volumes within the context of:

• Corporate investigations
• Fraud evaluations
• Insolvencies
• Investigations as part of regulatory compliance
• Due diligence and business intelligence

Whether the data is financial, operational or transactional, we can provide tailored solutions to uncover relevant information or irregular patterns and anomalies via in-depth analysis and data mining from even the most disparate datasets.

We evaluate and analyze data comprehensively and cost-effectively, regardless of format, database platform, or system. Whether analyzed data includes thousands or millions of records, our professionals provide the insight necessary to make critical business decisions or collect evidence to prove fraud, corruption, theft, dishonesty and misconduct.

We offer the following services:

• Profiling, collection and preservation of data sets
• Evaluation of quality of acquired data and verification of their completeness and accuracy
• Identification of relationships between multiple data sources and normalizing data to facilitate analysis
• Review of transactions to identify irregularities, gaps, trends, the absence of logical correlations and other red flags that are indicative of fraud and other types of misconduct
• Identification of system and control weaknesses that may result in losses
• Detection of inappropriate activity and supporting documentation to prove the transactions
• Link analysis
• Reporting and visualization of results

Our lab has a wide range of database management systems (such as Oracle and MS SQL Server), ETL tools (Monarch, SSIS), BI reporting and visualization software (MS Power BI, Tableau Desktop, IBM i2) necessary to execute most complicated tasks. Our analysts possess top-notch quantitative analysis skills, which allow us to express complex ideas in simple terms, and to interact productively with decision makers.