Warren G.
Robert Kruse

Abstract

Data volumes are exploding as are potential data sources requiring analysis for investigations. Wading through such volumes can take time that corporations don't have and have unnecessarily high costs. For corporate investigations and compliance, growing data volumes creates a pressing need for methods, technologies and processes which can be used to quickly analyze massive amounts of communications and information.
One such technology is conceptual analytics, which has been used by corporations and government agencies to assist with document review, e-discovery and data management. Now, organizations are realizing that analytics has tremendous potential to improve efficiency and accuracy in data-intensive inquiries. Keyword searches can be very useful when you know exactly what it is that you are looking for, but no one calls a bribe a bribe. Shifting our approach toward analytics allows us to describe the ideas and activities at issue with in a collection of exemplar paragraphs, and then let the analytics engine find and report the correlations and connections.

Organizations facing investigations, or simply developing compliance assurance protocols, can include conceptual analytics in their initiatives to prioritize collection efforts, proactively audit corporate document populations, and identify priorities in the areas of training, monitoring and policy development.

In today's presentation we will discuss the foundations of analytics, and explore exciting new developments in workflows, methods, and applications - all of which can be leveraged in compliance initiatives and investigations of all kinds.