| US 7,548,883 B2 | ||
| Construction industry risk management clearinghouse | ||
| David Lawrence, New York, N.Y. (US) | ||
| Assigned to Goldman Sachs & Co, New York, N.Y. (US) | ||
| Filed on Aug. 01, 2003, as Appl. No. 10/633,080. | ||
| Application 10/633080 is a continuation in part of application No. 10/074584, filed on Feb. 12, 2002, abandoned. | ||
| Application 10/074584 is a continuation in part of application No. 10/021124, filed on Oct. 30, 2001, abandoned. | ||
| Application 10/021124 is a continuation in part of application No. 09/812627, filed on Mar. 20, 2001. | ||
| Claims priority of provisional application 60/400181, filed on Aug. 01, 2002. | ||
| Claims priority of provisional application 60/390459, filed on Jun. 20, 2002. | ||
| Prior Publication US 2004/0083165 A1, Apr. 29, 2004 | ||
| Int. Cl. G06Q 40/00 (2006.01) | ||
| U.S. Cl. 705—38 [705/35; 705/36 R] | 27 Claims |
| 1. A computer-implemented method for managing risk related to a construction industry, the method comprising:
indicating in a computer system that an entity is a construction industry entity according to the entity's engagement in at
least one of: design, building, manufacture, repair and maintenance, of one or more man made structures;
gathering data into the computer system generally related to one or more construction industry entities;
receiving data into the computer system descriptive of details of a financial transaction involving a construction industry
entity, wherein the data received comprises identification data for at least one construction industry entity;
structuring the gathered data and the data relating details of the financial transaction according to risk quotient criteria;
calculating in the computer system a risk quotient by referencing the structured data, wherein calculating the risk quotient
criteria comprises a value determined by the steps of:
associating a numerical weight with each of a plurality of reputational risk variables;
associating one or more of the reputational risk variables with the data descriptive of details of a financial transaction;
determining a numerical value based upon the content of the data descriptive of details of a financial transaction associated
with the one or more reputational risk variables; and
multiplying the numerical value based upon the content times the numerical weight associated with each of the reputational
risk variables associated with the data descriptive of details of a financial transaction; and
generating a report comprising the risk quotient and at least some of the structured data referenced to calculate the risk
quotient.
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