Abstract: The present invention relates to compliance rules analytics systems and methods for facilitating compliance, such as the compliance of an investment portfolio or a set of investment portfolios, with a rule or a set of rules.

Abstract: Distributed pattern matching defines extensions and improvements to the RETE algorithm and to the forward chaining method of inference in rule systems. The same approach is envisaged for a goal-driven, backward chaining inference method where data is used to satisfy new goals in an interactive session between different engines, different systems, or between a system and a user interface. Utilizing techniques from Remote Procedure Calling (RPC), distributed processing, parallel processing and grid computing, the invention defines a novel algorithm to implement a system capable of distributed pattern matching. Reasoning over large data sets exceeding millions of rows in a reactive mode with a single engine is difficult due to hardware limitations. Using a cluster of inexpensive systems, reasoning over large datasets is more efficient and provides better scalability and response time. Distributed pattern matching is a significant innovation and enables rule engines to reason over large sets of data.