Quartet FS: Managing Business Performance And Detecting Outliers In Financial Services
Posted: 2 March 2015
For financial organizations, the practice of exception management is as old as time itself. But with increased regulation, millions of daily transactions, and multitudes of siloed information systems, managing revenue, risk, and compliance has become increasingly difficult. To meet the need for timely and consistent risk analysis, managers, traders and analysts must be able to instantly examine risk across all activities and classes, detect outliers and trends, and freely perform analysis without being constrained by pre-built queries. This paper examines ActivePivot Sentinel, which provides a framework for exception management in compute-intensive financial environments. Operating over Big Data, ActivePivot Sentinel defines, monitors and acts upon key performance indicators to enhance business performance and enable exceptional exception management.