Abstract: A system for providing information on risks and related hedging strategies includes a plurality of client terminals coupled to the server for providing access to the system for accessing information on risks and related hedging strategies. A data aggregation module configured to store financial arid risk related information from a plurality of data sources that include private client data sources and public data sources. An analytical module coupled to the data aggregation module configured to perform benchmarking estimates based on information retrieved from the private client data sources and the public data, sources, the benchmarking estimates further configured to be performed against the private data and the public data obtained from a plurality of industries.

Abstract: The present system provides information on risks and related hedging strategies. A plurality of client terminals are coupled to the system, for providing access to the system for accessing information on risks and related hedging strategies. A data aggregation module is configured to store financial and risk related information from a plurality of data sources, including private client data sources and public data sources. An analytical module is coupled to the data aggregation module, and configured to perform benchmarking estimates based on information retrieved from the private client data sources and the public data sources. The benchmarking estimates are performed against the private data and the public data obtained from a plurality of industries.

Abstract: The present invention provides a system and method for information and data aggregation and analysis which provides risk managers, benefits managers, brokers, insurers and other insurance professional to have access to information resources, knowledge management tools, and powerful analytical models needed to increase their value and productivity. In accordance with one embodiment of the invention, the system and method provided is designed for information and data aggregation that allows for the compilation of data for mining and categorization by a knowledge management system, which stores all retrieved information in accordance with categories provided by a categorization engine referred to as a Taxonomy module. A contextualization module configured to retrieve relevant information, based on various factors, including the user's profile, and the user's particular task. The system dynamically provides relevant information as the user interacts and conducts various tasks.

Abstract: The present system provides information on risks and related hedging strategies. A plurality of client terminals are coupled to the system, for providing access to the system for accessing information on risks and related hedging strategies. A data aggregation module is configured to store financial and risk related information from a plurality of data sources, including private client data sources and public data sources. An analytical module is coupled to the data aggregation module, and configured to perform benchmarking estimates based on information retrieved from the private client data sources and the public data sources. The benchmarking estimates are performed against the private data and the public data obtained from a plurality of industries.

Abstract: The present invention provides a system and method for information and data aggregation and analysis which provides risk managers, benefits managers, brokers, insurers and other insurance professional to have access to information resources, knowledge management tools, and powerful analytical models needed to increase their value and productivity. In accordance with one embodiment of the invention, the system and method provided is designed for information and data aggregation that allows for the compilation of data for mining and categorization by a knowledge management system, which stores all retrieved information in accordance with categories provided by a categorization engine referred to as a Taxonomy module. A contextualization module is configured to retrieve relevant information, based on various factors, including the user's profile, and the user's particular task. The system dynamically provides relevant information as the user interacts and conducts various tasks.