System and method for providing global information on risks and related hedging strategies

• US 8,762,178 B2
• Filed: 12/23/2004
• Issued: 06/24/2014
• Est. Priority Date: 09/30/2000
• Status: Active Grant

• Current Assignee: Zywave, Inc.
• Original Assignee: Advisen Ltd.
• Inventors: Ruggieri, Tom, Forer, Edward
• Primary Examiner(s): Ebersman, Bruce I
• Application Number:
  US11/021,111
• Publication Number:
  US 20050154617A1
• Time in Patent Office: 3,470 Days
• Field of Search: 705/37
• US Class Current: 705/4
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance

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.

Claims

1. A system for providing information on risks and related hedging strategies to a plurality customers, said system comprising:

a server for receiving communications from said plurality of customers each having client terminals, said server configured to allow said plurality of customers'"'"' client terminals to access said system for providing and accessing information corresponding to risks and related hedging strategies;

a data aggregation module coupled to said server configured to store both financial information and said information corresponding to risks and related hedging strategies provided by a plurality of data sources, said plurality of data sources including private customer data sources and public data sources, wherein said private customer data sources includes aggregated financial and transaction data from said plurality of customers and wherein said information corresponding to risks and related hedging strategies from said private customer data sources is associated with one or more industries to which said transaction data is applicable;

an analytical module coupled to said data aggregation module, said analytical module configured to perform benchmarking estimates for said plurality of customers using said financial information and said information corresponding to risks and related hedging strategies from both said private customer data sources and public data sources retrieved from said data aggregation module,

wherein said benchmarking estimates for said plurality of customers are based on said financial information and said information corresponding to risks and related hedging strategies from said public data sources as well as said aggregated financial and transaction data supplied from said plurality of customers to said system,

and wherein said benchmarking estimates are performed for each customer of said plurality of customers using combined data from said private customer data sources and said public data sources from a plurality of industries, where each benchmarking estimate for said each customer, among said plurality of customers, is assigned a weighted assessment against a plurality of industries such that said benchmark estimates provided to said each customer are customizably weighted by percentage for comparison against public and private customer data with corresponding industry weighting,

said system configured to generate a benchmarking estimate report for each of said plurality of customers, including said weighted assessment against said plurality of industries.

2. The system in accordance with claim 1, wherein said private customer data sources include asset information corresponding to each customer of said plurality of customers whose information is stored in said data aggregation module, said asset information including one or more of asset categories from a list comprising real estate assets, automobile assets, inventory assets, technology assets and heavy equipment assets.

3. The system in accordance with claim 1, wherein said private customer data sources include legal information, insurance policy information, and claims information.

4. The system in accordance with claim 1, wherein said private customer data sources include financial information selected from the group consisting of payroll and general ledger information.

5. The system in accordance with claim 1, wherein said each customer of said plurality of customers is a subsidiary of a conglomerate, such that said benchmarking analysis more accurately reflects a comparison industry peer group.

6. The system as claimed in claim 1, wherein

said analytical module performs benchmarking estimates against modeled data, said modeled data being an estimated data derived from said private customer data sources and said public data sources.