Summary: Booz Allen Hamilton developed a system that integrates leading edge commercial data visualization tools to analyze financial data sets used by criminal investigators and identify potential financial crimes for a U.S. Government criminal investigation unit.
Client Challenge: Criminal investigators spent a significant amount of time querying financial data in an effort to identify criminal activity and develop leads into criminal cases. Many of the systems they used to access financial data provided a limited query and analysis capability. Furthermore, identification of relationships between entities of interest within and across data sets was solely a manual process.
How Booz Allen Helped: Applying its financial analysis domain expertise, Booz Allen set up a technology-enabled analytic capability for the client. First, we created a centralized database from the various data sets we identified, acquired, and integrated. Next, we applied commercial visualization analysis products to financial data in the relational databases, and developed visualization models to support the queries performed by the client’s analysts. Booz Allen deployed this system and supported the client’s operations, achieving full system capability.
Results Achieved: By implementing this system designed by Booz Allen, our client markedly increased the efficiency of its investigators by allowing them to search multiple data sources, such as tax data, financial data, and watch lists, at one time using a single set of criteria. Our client’s analysts also realized expanded fraud detection capabilities through advanced link analysis, which exposes hidden relationships and patterns of fraudulent activity across the data sources. Use of this system gave the client’s investigators access to nation-wide sets of data, allowing them to detect suspicious activity across wide geographic areas.
