# Patent

## Title
Information trading system and method

## Abstract

A system and method of collecting and trading statistical information between users is disclosed herein. In one embodiment, the information is traded via a network, such as the Internet. The method for trading information includes the step of collecting information from a user at a first location, having a confidential data portion and an exchange data portion. Only the exchange data portion is transmitted to a central location. An exchanged data set is defined at the central location. The exchange data set is updated using the exchange data portion. An output data set is determined from the exchange data set, wherein the output data set is accessible by one or more users.

## Background
CROSS REFERENCE TO RELATED APPLICATIONS
This Non-Provisional Utility Patent Application claims the benefit of the filing date of U.S. Provisional Application Ser. No. 60/208,807, filed Jun. 2, 2000, entitled “INTERACTIVE INTERNET STATISTICAL INFORMATION TRADING SYSTEM AND METHOD”.


THE FIELD OF THE INVENTION
The present invention generally relates to an information trading system and method, and more particularly, a system and method of collecting and trading statistical information between users, which may be traded via a network, such as the Internet.
BACKGROUND OF THE INVENTION
Valuation is the process of determining the economic worth of an asset at a particular point in time. Value is ultimately determined by what a willing buyer pays a willing seller for the asset, i.e., price, during an actual sale transaction. Often, asset value must be estimated absent an actual sales transaction for any one of a number of reasons. In fact, prior to an actual sale, both buyer and seller of the asset arrive at an independent value for the asset as part of the process for reaching a mutually agreed-to sale price.
Value is a relative measure with respect to the marketplace's supply and demand of identical and alternative items to the one being valued. Asset valuation is generally a subjectively applied process of first defining the characteristics of the asset to be valued and comparing them to assets with similar characteristics. This process is commonly known as benchmarking. Benchmarking can also be applied to non-economic items such as process performance wherein characteristics of the process to be evaluated are compared versus similar processes to determine relative efficiency or relative quality (i.e., ranking). For example, attributes such as speed, satisfaction or growth are measurable, non-economic attributes.
Assets, such as business enterprises, are valued by comparison with known values of similar business. Generally, similarity is determined by size, type of business activities or products, geographic location, type of ownership structure, etc.
Rather than compare the business asset under evaluation to individual business assets of known value, a population of similar known-value assets is frequently summarized using statistical methods familiar to those skilled in the art. The asset to be valued is subsequently compared to the summary statistical information. The Standard Industrial Classification (SIC) system is a series of number codes that attempts to classify all business establishments by the types of products or services they make available. Establishments engaged in the same activity, whatever their size or type of ownership, are assigned the same SIC code. More recently, the North American Industry Classification System (NAICS), a major revision to the SIC, provides for newer industries and reorganizes the categories on a production/process-oriented basis. With regard to valuation, comparisons can be easily made to those business classified with the same or similar SIC codes as the business being valued.
Comparative information, such as industry averages and valuation multiples, are collected into databases and either sold or distributed to dues paying members of the collecting agency. This information is collected by many different groups and the demand for it is scattered into various fragmented parties. While Certified Public Accountants (CPAs) and other valuation specialists may demand statistical averages for purpose of valuing a business, a bank may only be interested in operating averages.
Time is another critical factor when valuing items where either the item being valued or the comparison population constituents are dynamically changing with time. The marketplace can change during the time during which the analysis occurs, introducing error in the accuracy of the resultant valuation with respect to the marketplace at the time of the result. Faster analysis yields more accurate results.
One example of an asset which is difficult to value is a privately owned business enterprise. Business enterprises are unique in size, location, and function. Value is not routinely ascertained and reported, as is the case for publicly held businesses subject to securities reporting requirements. Generally, value is determined only for the purposes of ownership transfers, by definition, a private event between transferee and transferor. Sales transaction information involving private companies or businesses is generally not available such that it may be used as a benchmark for defining the value of similar private businesses.
One source for comparative financial data is a commercial database company. There are several database companies collecting data under different approaches. The data is organized into a database, perhaps categorized and/or classified, and made available to interested parties. Typically these databases are indexed and searchable. The databases are made available via conventional paper printing, more recently via CD electronic storage media, as well as on-line access. Examples of such business services include Price Waterhouse Coopers-Corporate financial Information by Industry Description, Price Waterhouse Coopers-Edger ScanTM: an intelligent interface to the SEC. Dun and Brad Street (D&B) has created a database by gathering business information from public sources such as state and federal government agencies, newspapers, publications and electronic news services and survey. Edger Scan is an interface to the United States Securities and Exchange Commission Electronic Data Gathering Analysis and Retrieval Filings.
Database companies collect data under different approaches. The many users each have specialized need, demand and supply cycles are complicated and inefficient. In order to determine the value of a business, an appraiser must first find comparative sales data. The data may be biased because it represents a small sampling of data that was not reported by an impartial third party. Translations or other adjustments in accounting may have also been employed. The data may not have been collected in a scientifically random fashion. Or the data may be far too aggregated to be useful.
Valuation of private or closely held businesses is often difficult due to the lack of liquidity for these interests. Estimates of value can be difficult to obtain in the absence of readily available pricing information, therefore closely held businesses must typically be valued independently. Certified public accountants and business valuation services specialize in valuation of such interest. Typically the value of assets net of liabilities, cash flows generated, similar publicly traded companies and the recent transactions involving similar companies are considered. The level of significance (i.e. controlling vs. minority interest) and the degree to which marketability is impaired also effects value.
There remains a substantial need for an improved system to facilitate receipt and processing of reliable commercial information which is available to users for business purposes.
SUMMARY OF THE INVENTION
The present invention is a network information trading system and method, and more particularly, a system and method of collecting and trading statistical information between users via a network, such as the Internet.
In one embodiment the present invention provides a business method for trading information. The method includes the step of collecting information from a user at a first location, having a confidential data portion and an exchange data portion. Only the exchange data portion is transmitted to a central location. An exchanged data set is defined at the central location. The exchange data set is updated using the exchange data portion. An output data set is determined from the exchange data set, wherein the output data set is accessible by one or more users.
In one aspect, the exchange data is transmitted to the central location via a network. In one aspect, the network is an internet network. In one aspect, the step of determining the output data set includes the step of defining a statistical model. A statistical data set is generated using the exchange data set and the statistical model. The statistical data set is stored as the output data set. The step of collecting information from a user includes the step of defining a web page, and collecting information from the user via the web page. The central controller is accessed via the web page using a login routine, wherein the login routine determines whether a user is allowed to access the central controller.
In another embodiment, the present invention provides a business method for providing commercial statistical data, the method includes the step of collecting commercial data information via a web page from a user. A commercial data record is generated using the commercial data information, including a confidential subrecord and an exchange subrecord. A commercial statistical analysis system is defined having an exchange data set. Only the exchange subrecord is transmitted via a network communication link to the commercial statistical analysis system. The exchange data set is updated using the exchange subrecord. A commercial statistical data set is generated using the commercial statistical analysis system, wherein the commercial statistical data set is accessible by the user. In one aspect, the network includes the Internet. The collected commercial data information includes asset information, public business valuation information, and/or private business valuation information.



BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a block diagram illustrating one exemplary embodiment of an information trading system according to the present invention.
FIG. 2 is a block diagram illustrating one exemplary embodiment of information flow through a portion of the information trading system of FIG. 1.
FIG. 3 is a block diagram illustrating one exemplary embodiment of information flow through another portion of the information trading system of FIG. 1.
FIG. 4 is a block diagram illustrating one exemplary embodiment of an exchange portion of an information trading system according to the present invention.
FIG. 5 is a diagram illustrating one exemplary embodiment of an access subrecord used in the information trading system of FIG. 1.
FIG. 6 is a diagram illustrating one exemplary embodiment of a confidential subrecord used in the information trading system of FIG. 1.
FIG. 7 is a diagram illustrating one exemplary embodiment of an exchange subrecord used in the information trading system of FIG. 1.
FIG. 8 is a diagram illustrating one exemplary embodiment of statistical model groupings used in the information trading system illustrated in FIG. 1.
FIG. 9 is a block diagram illustrating another exemplary embodiment of an information trading system according to the present invention.
FIG. 10 is a diagram illustrating one exemplary embodiment of a user interface used in an information trading system according to the present invention.
FIG. 11 is a diagram illustrating another exemplary embodiment of a user interface used in an information trading system according to the present invention.
FIG. 12 is a diagram illustrating one exemplary embodiment of a confidential portion of a graphical user interface private company template used in an information trading system according to the present invention.
FIG. 13 is a block diagram illustrating one exemplary embodiment of an exchange portion of a graphical user interface private company template used in an information trading system according to the present invention.
FIG. 14 is a diagram illustrating another exemplary embodiment of a graphical user interface private company template used in an information trading system according to the present invention.
FIG. 15 is a diagram illustrating one exemplary embodiment of statistical models defined in a private/public company information trading system according to the present invention.
FIG. 16 is a flow diagram illustrating one exemplary embodiment of a method of trading information according to the present invention.
FIG. 17 is a flow diagram illustrating another exemplary embodiment of a method of trading information according to the present invention.
FIG. 18 is a flow diagram illustrating another exemplary embodiment of a method of trading information according to the present invention.
FIG. 19 is a flow diagram illustrating another exemplary embodiment of a method of trading information according to the present invention.
FIG. 20 is a flow diagram illustrating another exemplary embodiment of a method of trading information according to the present invention.



DESCRIPTION OF THE PREFERRED EMBODIMENTS
In the following detailed description of the preferred embodiments, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. It is to be understood that other embodiments may be utilized and structural or logical changes may be made without departing from the scope of the present invention. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.
The present invention provides an information trading system which operates to collect and trade reliable information between users. In particular, in exchange for reliable information received from a user, the user has access to a centralized information exchange system. In one exemplary embodiment disclosed herein, the information trading system according to the present invention is utilized for providing private and/or public company valuation and other benchmarking information to users. In one aspect, the users include “qualified users,” wherein a subset or portion of the information stored at the centralized information exchange system is allowed to be updated and accessible only by qualified users. In other aspects, the present information trading system has broad applications to many areas where the collecting and trading of statistical information is useful and valuable (e.g., scientific, financial, and commercial applications).
Information Trading System
An information trading system according to the present invention is illustrated generally at 30 in FIG. 1. Information trading system 30 is an interactive information trading system which operates to collect and trade statistical information between users. In one aspect, the information is traded via a network, such as the Internet.
In one embodiment, information trading system 30 includes a centralized information exchange system 32 having an exchange system controller 34 and an exchange data storage system 36. Centralized information exchange system 32 is configured to communicate with one or more users to “exchange” or “trade” information between the users. Further, the centralized information exchange system 32 operates to perform/provide research and analysis on the exchanged or traded information, as desired by the users. In one aspect, the centralized information exchange system or a portion of the centralized information exchange system is allowed to communicate only with a user which is a “qualified user.”
In one exemplary embodiment, centralized information exchange system 32 is configured to communicate with a first user 39, a second user 41 and a third user 43 via network 44. In particular, centralized information exchange system 32, first user 39, second user 41 and third user 43 communicate using first user interface 38, second user interface 40, third user interface 42, and network 44 via network communication links 46, 48, 50, 52.
In one embodiment, information is collected from first user 39 at a first location; separate from second user 41 and third user 43. The collected information includes a confidential data portion or confidential subrecord 60 (CSR1) and an exchange data portion or exchange data subrecord 62 (ESR1). After completion of a login routine, only the exchange data portion 62 is transmitted to the centralized information exchange system 32.
Exchange system controller 34 is defined to include an exchange data set 64 and one or more output data sets 66. The exchange data set 64 is updated using the exchange data portion 62 received from first user 39. Output data set 66 is determined from the exchange data set 64. The output data set 66 is accessible by one or more users, including first user 38, second user 40 and third user 42. The exchange data set 64 and output data set 66 can be persistently stored in exchange data storage system 36. In one aspect, the information trading system according to the present invention is a continuous system wherein exchange data set 64 is dynamically updated with each received exchange data portion. In another aspect, exchange data set 64 is updated at set intervals/times or as part of a batch system. Exchange data portions 62 received from users are batched or stored (e.g., in a queue) for a desired or set time period. At the end of the desired time period (e.g., daily, weekly, etc.), the batched data portions are used to update the corresponding exchange data set.
In a similar manner, information is collected from second user 41, the collected information including a confidential data portion or subrecord 70 (CSR2) and an exchange data portion or exchange subrecord 72 (ESR2). Only the exchange data portion 72 is transmitted to the centralized information exchange system 32 via network 44. The exchange data set 64 is updated using the exchange data portion 72. The output data set 66 is determined or updated from the updated exchange data set 64.
Similarly, information is collected from third user 43 at a third location. The collected information includes a confidential data portion or confidential data subrecord 74 (CSR3) and an exchange data portion or exchange data subrecord 76 (ESR3). Only the exchange data portion 76 is transmitted to the centralized information exchange system 32. The exchange data set 64 is updated using the exchange data portion 76. The output data set 66 is determined from the updated exchange data set 64. The output data set 66 is accessible via a defined query by one or more users, including first user 38, second user 40 and third user 42.
Information trading system 30 allows for first user 39 to “trade” or “exchange” information, and in particular, exchange data portion 32, by providing it to centralized information exchange system 32, in exchange for access to output data set 66. Similarly, second user 41 provides exchange data portion 72 to centralized information exchange system 32 in exchange for output data set 66, and third user 42 provides exchange data portion 76 to centralized information exchange system 32 in exchange for access to output data set 66.
Network 44, as used herein, is defined to include an internet network (e.g., the Internet), intranet network, or other high-speed communication system. In one preferred embodiment, network 44 is the Internet. While the exemplary embodiments in the following description refer to the Internet network, it is understood that the use of other communication networks or next generation communication networks or combination of communication networks (e.g., an intranet and the Internet) are within the scope of the present invention.
Information trading system 30, including centralized information exchange system 32 having exchange system controller 34 and exchange data storage system 36, can be implemented in hardware via a microprocessor, programmable logic device, or state machine, in firmware, or in software within a given device. In one aspect, at least a portion of the software programming is web-based and written in HTML and JAVA programming languages, including links to defined spreadsheets for data collection, and each of the main components communicate via network 30 using a communication bus protocol. For example, the present invention may or may not use a TCP/IP protocol suite for data transport. Other programming languages and communication bus protocols suitable for use with the information trading system according to the present invention will become apparent to those skilled in the art after reading the present application. Components of the present invention may reside in software on one or more computer-readable mediums. The term computer-readable medium as used herein is defined to include any kind of memory, volatile or non-volatile, such as floppy disks, hard disks, CD-Roms, flash memory, read-only memory (ROM), and random access memory (RAM).
In one aspect, first user 39 and second user 41 are defined as “qualified” users. A qualified user is a user who meets a set of predefined qualifications such that information obtained from the qualified users is deemed more reliable than information obtained from a user which is not a qualified user. As such, information obtained from first user 39 and second user 41 is considered highly-reliable information, and may be stored separate from information obtained from a “non-qualified” user. In one aspect, third user 43 is a non-qualified user. A non-qualified user is defined as a user who does not meet the requirements for a qualified user. As such, information traded with third user 43 is not deemed as reliable as information received from first user 39 and second user 41. Further, third user 43 may not be allowed access to the same database information as first user 39 and second user 41.
FIG. 2 is a diagram illustrating one exemplary embodiment of information flow through a portion of information trading system 30 shown in FIG. 1. In particular, first user interface 38 allows for first user 39 to communicate (i.e., exchange or trade information) via network 44 with centralized information exchange system 32. In one embodiment, first user interface 38 is a computer or similar microprocessor based hardware/software device or appliance (e.g., a personal digital assistant (PDA) device). The computer may include, for example, an input device such as a keyboard and/or a mouse and a display device such as a monitor, as is known in the art. As such, the first user interface 38 facilitates the entry of information by first user 39. Other input devices, such as the utilization of a voice recognition system, may be used. First user interface 38 also includes first user data storage 80, for persistent storage of the first user 39's collected and exchanged information. In one aspect, the first user data storage 80 includes a hard disk drive. First user interface 38 may include other memory components to aid in the exchange of data, such as random access memory (RAM), read-only memory (ROM), flash memory, etcetera.
Preferably, the first user interface computer runs on an operating system which can support one or more applications. The operating system is stored in memory and executes on a processor. The operating system is preferably a multi-tasking operating system which allows simultaneous execution of multiple applications, although aspects of this invention may be implemented using a single-tasking operating system. The operating system employs a graphical user interface windowing environment which presents the applications or documents in specially delineated areas of the display screen called “windows.” Each window has its own adjustable boundaries which allow the user to enlarge or shrink the application or document relative to the display screen. Each window can act independently, including its own menu, toolbar, pointers, and other controls, as if it were a virtual display device. Other software tools may be employed via the window, such as a spreadsheet for collecting data. One preferred operating system is a Windows® brand operating system sold by Microsoft Corporation. However, other operating systems which provide windowing environments may be employed, such as those available from Apple Corporation or IBM.
Portion of the information trading system according to the present invention runs on the operating system within first user interface 38. The operating system preferably includes a windows-based dynamic display which allows for the entry or selection of data in dynamic data field locations by first user 39 via an input device such as a keyboard and/or mouse.
In one aspect, collected information 59 is collected from first user 39 and includes confidential portion 60 and exchange portion 62. Only exchange portion 62 is transmitted via network 44 to centralized information exchange system 32. Confidential portion 60 includes confidential identifying data which first user 39 desires not to be transmitted to centralized information exchange system 32. The confidential identifying data may include, for example, a specific name or company name, address, the name of the Chief Executive Officer, and the name of the Chief Financial Officer, etcetera. If known, such information would allow the identification of first user 39 or the origination of the exchange portion 62 to other users having access to the centralized information exchange system.
First user interface 38 includes subscriber data 84 which is unique to first user 39. The subscriber data 84 operates as a password (PSWD) which is unique to first user 39, and operates to allow first user 39 to have access to trading information via centralized information exchange system 32. During a login routine, the subscriber data 84 is transmitted via network 44 to centralized information exchange system 32. The centralized information exchange system 32 has identifying information or passwords stored for each user having “clearance” to access the centralized information exchange system 32. Further, the subscriber data 84 indicates to centralized information exchange system 30 whether the user is a “qualified user” and as such is allowed access to the qualified user exchange data. Once the centralized information exchange system 32 determines that the correct subscriber data has been transmitted for first user 39, a confirmation (C) 86 is returned, indicating that access is allowed and a communication link has been established between the first user interface 38 and the centralized information exchange system 32. Exchange portion 62 can now be transmitted to the centralized information exchange system 32.
Prior to transmitting the exchange portion 62 to centralized information exchange system 32, the information contained within exchange portion 62 is associated with one or more predefined groups (G), indicated at 88. The predefined groups allow for the information within exchange portion 62 to be categorized by the centralized information exchange system 32. In particular, one or more groups are defined within centralized information exchange system 32. First user interface 38 determines the groupings 88 for exchange portion 62 using collected information 59 including confidential portion 60. Once the groupings 88 are determined, the groupings are attached to (and may be part of) exchange portion 62. As such, in lieu of transmitting confidential portion 60 to centralized information exchange system 32, groupings 88 are transmitted as part of exchange portion 62 for the grouping of the data within exchange portion 62 by centralized information exchange system 32. Alternatively, the groupings 88 may be transmitted with the subscriber data 84. The collected information 59 from first user 39, including confidential portion 60 and exchange portion 62, may be persistently stored within first user data storage 80.
In exchange for trading collected information (i.e., the exchange portion 62) with the centralized information exchange system 32, first user 39 may submit a query to centralized information exchange system 32 output data set 92 and receive exchange statistics from the centralized information exchange system 32 in response to the query. In particular, first user interface 38 allows for first user 39 to submit an exchange statistics query (ESQ) 90 (e.g., via a graphical user interface) to centralized information exchange system 32. In response to the exchange statistics query 90, centralized information exchange system 32 transmits via network 44 exchange statistics to the first user 39, indicated as an output data set (ODS) 92. The output data set 92 corresponds to the exchange statistics query 90.
The information trading system 30 is a dynamic information trading system. In exchange for first user 39 to provide information to the centralized information exchange system 32 via exchange portion 62, the first user 39 has access to exchange statistics based on a desired exchange statistics query, which is dynamically updated utilizing the exchange portion 62 provided by the first user 39 and other users. Every time an exchange portion 62 is transmitted to the centralized information exchange system 32, the centralized information exchange system 32 updates its exchange statistics output data set 92. As such, first user 39 may choose to periodically receive an updated exchange statistics output data set 92 which corresponds to a preset desired query. For example, first user 39 may configure first user interface 38 to receive an updated exchange statistics output data set 92 which corresponds to a particular query by first user 39 at each confirmed login or access to the centralized information exchange system 32.
FIG. 3 is a block diagram illustrating one exemplary embodiment of information flow through another portion of the centralized information exchange system of the information trading system of FIG. 1. In particular, centralized information exchange system 32 includes exchange system controller 34 and exchange data storage system 36. Exchange system controller 34 includes hardware, software, firmware, or a combination of these. In one preferred embodiment, exchange system controller 34 includes a computer server or other microprocessor based system capable of performing a sequence of logic operations. In addition, exchange system controller 34 can include a microprocessor embedded system/appliance incorporating tailored appliance hardware and/or dedicated single-purpose hardware. Exchange system controller 34 also includes other components, such as a memory component (e.g., RAM, ROM, etc.). Exchange data storage system 36 includes non-volatile memory (e.g., a hard disk drive or other persistent storage device) and may also include volatile memory (e.g., random access memory (RAM)). Exchange data storage system 36 operates to store exchange data files which are accessible via exchange system controller 34.
In one aspect, exchange system controller 34 includes a web server 100, a query manager 102, statistical models 104 and memory 106. Web server 100 can be utilized to provide graphical user interfaces to users. In one aspect, web server 100 is utilized to coordinate communication portals between the centralized information exchange system 32 and users via network 44. Query manager 102 operates to manage queries from users based on statistical models 104. Statistical models 104 are predefined statistical groupings or calculations. In particular, as raw exchange data is received from users (e.g., users or qualified users), such as exchange portion 62, exchange portion 72, and exchange portion 78, the statistical models 104 are used with the exchange data to update the statistical data output data set 66. Memory 106 operates to temporarily store exchange data and output data sets 66 generated using the statistical models 104. In one exemplary embodiment, predefined groupings are stored as part of statistical models 104. As exchange data is received, the exchange data is distributed according to the predefined groupings for updating statistical output data sets 66 within those groupings.
Exchange data storage system 36 is utilized to store raw exchange data, indicated at 64, and statistical data 66 accessible by users via query manager 102. Further, exchange data storage system 36 is utilized for storage of other components, such as HTML software 108 utilized by web server 100.
FIG. 4 is a block diagram illustrating one exemplary embodiment of exchange data sets 64 and output data sets 66 of an information trading system according to the present invention. In one aspect shown, exchange data sets 64 include non-qualified user exchange data sets 65 and qualified user exchange data sets 67. In particular, raw exchange data received from non-qualified users is stored in non-qualified user exchange data sets 65. Similarly, raw exchange data received from qualified users is stored in qualified user exchange data sets 67. Output data sets 66 include non-qualified user output data sets 69 and qualified user output data sets 71. In particular, non-qualified user output data sets 69 are generated using statistical models 104 and the raw exchange data stored in non-qualified user exchange data sets 65. Similarly, qualified user output data sets 71 are generated using statistical models 104 and raw exchange data stored in qualified user exchange data sets 67. In one alternative embodiment, raw exchange data received from all users (qualified or nonqualified) is stored in a common group of exchange data sets. As such, common output data sets are generated using the exchange data sets in connection with statistical models 104. FIG. 5 is a diagram illustrating one exemplary embodiment of an access subrecord including subscriber data 84 used in the information trading system according to the present invention. As previously described herein, subscriber data 84 can be utilized as part of a login routine to determine whether a user is allowed to access the centralized information exchange system 32. Additionally, subscriber data 84 may also include groupings 138. The groupings 138 are utilized by the centralized information exchange system 32 for grouping the exchange data traded between a user and the centralized information exchange system 32. For example, groupings for private and public companies may include the standard industrial index or international industrial index associated with the exchange data.
FIG. 6 is a diagram illustrating one exemplary embodiment of a confidential subrecord input to a user interface via a graphical user interface by a user, indicated at 120. The confidential subrecord 120 includes confidential identifying data 122, and other confidential data 126. In particular, the confidential identifying data 122 and other confidential data 126 are dynamic data fields which include information provided by each user. Confidential identifying data 122 may include specific information uniquely identifying the company or person associated with the collected information. Other confidential data fields 126 include other confidential data which is not desirable to be transmitted to the centralized information exchange system 32. In one preferred embodiment, the confidential subrecord 120 is stored locally and accessible by the corresponding user.
FIG. 7 is a diagram illustrating one exemplary embodiment of an exchange subrecord 130 used with an information trading system according to the present invention. The exchange subrecord 130 is transmitted to the centralized information exchange system 32. The exchange subrecord 130 includes dynamically selectable and/or enterable data fields. In the exemplary embodiment shown, exchange subrecord 130 includes operating data 132, assets and working capital 134, financing 136 and groupings 138. The operating data field 132, assets and working capital data field 134, and financing data field 136 are data fields which may be specific to a type of information trading system. Groupings 138 maybe associated with exchange subrecord 130. Groupings 138 are predefined groups determinable by the user interface based on the collected information including the confidential subrecord. The groupings 138 are utilized by the centralized information exchange system 32 for categorizing the exchange subrecord 130 without knowledge of the confidential identifying data of confidential subrecord 120. For example, groupings 138 may include a geographic region field associated with the exchange subrecord 130.
FIG. 8 is a block diagram illustrating one exemplary embodiment of statistical model groupings 140 utilized by an information trading system at the exchange system controller. In one exemplary embodiment, the statistical model 140 includes multiples field 142, SIC averages 144, other analytical support 146 and groupings field 148. As such, statistical models are determined for each field type 142, 144, 146. Each field type 142, 144, 146 is further split up within groupings defined at 148. For example, for a grouping 148 identified as a number of geographical regions, each statistical model field 142, 144, 146 is tracked separately for each geographical region group.
Private/Public Company Information Trading System
FIG. 9 is a block diagram illustrating one exemplary embodiment of an information trading system according to the present invention is indicated generally at 150. The information trading system 150 is similar to the information trading system 30 previously described herein, and more specifically, is directed to an information trading system for the trading of public company and private company commercial information, which in one embodiment includes company sale transaction and financial data.
In the exemplary embodiment illustrated, private company commercial information is collected from one or more users, represented by first user 39 and second user 41. Network 44 is an internet network, and more particularly, is the Internet, indicated at 152. In one aspect, users 39, 41 are qualified users. Typical qualified users include Certified Public Accountants, loan underwriters, and investors. Other private company and public company commercial information is transmitted between other users 158 and the centralized information exchange system 32 via the internet 152. Other qualified users may include insurance companies, investment banks, brokers and consultants. Nonqualified users may include commercial companies and individual investors.
Information on private company sales transactions 154 is collected from first user 39 via first user interface 38. In one exemplary embodiment, private company financial data 156 is also collected from first user 39 via first user interface 38. Similarly, private company financial data 156 is collected from second user 41 via second user interface 40. Exchange subrecords 62A, 62B associated with the corresponding private company sales transactions 154 and private company financial data 156 are transmitted via the internet to centralized information exchange system 32A.
The collection of public company information is indicated at block 160. The collection of reliable public company information does not depend upon users as a source. In particular, public company information may be obtained through electronic downloads or manual data input. Public company information can be received via reliable data sources. For example, public company SEC data 162 can be obtained from a reliable data source, such as Dunn & Bradstreet. Public exchange data 164 can be obtained from published public exchange market information, such as reported by the New York Stock Exchange (NYSE), the American Stock Exchange (AMEX), and the NASDAQ. Public company information may be transmitted to the centralized information exchange system 32A via the internet 152. Alternatively, the public company information may be directly downloaded to the centralized information exchange system 32A via other direct high-speed communication links, such as a high-speed modem or T1 telephone line communication link, as indicated by dashed line 166. Value added research and/or analysis is provided at the centralized information exchange system 32A. Further, public company raw data 170, public company statistical data 172, private company raw data 174 and private company statistical data 176 are maintained at exchange data storage system 36A. Data stored within exchange data storage system 36A is accessible by research/analysis 168 via query manager 102A. Similarly, information stored at data storage system 36A is accessible by users via query manager 102A.
FIGS. 10 through 15 illustrate exemplary embodiments of graphical user interfaces for one embodiment of the information trading system according to the present invention. The graphical user interfaces are windows based user interfaces utilized when trading information between a user and the centralized information exchange system 32.
In FIG. 8, one exemplary embodiment of a graphical user interface between a user and the centralized information exchange system is shown generally at 200. The graphic user interface 200 is a windows-based graphical user interface, as previously described herein. Graphical user interface 200 includes pull-down menus for accessing portions of the information trading system according to the present invention, including a FILES pull-down menu 202, a VIEW pull-down menu 204, a REPORTS pull-down menu 206, a GRAPHS pull-down menu 208, and a HELP menu 210. Other suitable menus will become apparent to one skilled in the art after reading the present application.
Graphical user interface 200 may include other ancillary components usable by a user. For example, an advertising block component is illustrated at 212. The advertising block 212 provides space on graphical user interface 200 reserved for advertising. The advertising may be general advertising directed to all users of the information trading system. Alternatively, the advertising may be specifically directed to the user using the graphical user interface 200. In particular, based on the information traded between a user and the centralized information exchange system 32, the centralized information exchange system 32 may build a profile of the user. Based on the user profile, specific advertising can be automatically selected by the centralized information exchange system and directed to the user. Additionally, the advertising can be dynamically changed (e.g., at each successful login by a user), via the Internet communication link with the centralized information exchange system 32. The advertising block 212 may further include active fields for linking the advertising contained within the advertising block 212 to a website associated with the advertisement. In particular, if a user would like further information after viewing the advertising, the user can simply click on the active field within the advertising block 212 and be linked to a website associated with the advertisement via the Internet. Similarly, a portion of the graphical user interface 200 may be dedicated to links, illustrated generally at 214. The links 214 provide a user with links to other websites useful to the user. Example links include links for networking, periodicals, vendors and research. The links 214 may be automatically determined by the centralized information exchange system 32 based on the profile of the user. Alternatively, the user may determine the links 214.
FIG. 11 illustrates one exemplary embodiment of a pull-down menu for FILE menu 202. By selecting FILE menu 202 (e.g., via positioning a mouse at file menu 202 and clicking), a pull-down menu is presented to the user. In the exemplary embodiment shown, the pull-down menu for FILE menu 202 includes the following selections: NEW ACCOUNT selection 230, UPDATED FILE selection 232, UPDATED STATS selection 234, SEND/RECEIVE selection 236, PRINT selection 238 and DOWNLOAD SPREADSHEET selection 240. Similar pull-down menus are available by selecting VIEW menu 204, REPORTS menu 206, GRAPHS menu 208 or HELP menu 210.
For example, upon selecting NEW ACCOUNT 230 the user is presented with new account graphical user interface templates for providing information to the centralized information exchange system 32. FIGS. 12-15 illustrate exemplary embodiments of graphical user interface templates directed to private company financial statement and private company transaction templates.
FIG. 12 illustrates one exemplary embodiment of the confidential portion and access data (including subscriber data) portion of a private company financial statement template at 280. The template 280 allows for the entry of private company information for companies ranging from very small to very large, as indicated by the headings 282, which allows for a Consolidated Total, Main Division, Division 1, Division 1 and Other Divisions headings. The private company financial statement confidential portion includes confidential identifying data 284. The confidential identifying data 284 includes the following fields: Company Name, Address, City, State, Zip Code, Country, Country Code, CEO Name, and CFO Name.
One exemplary embodiment of subscriber data is also illustrated. Access data 285 includes subscriber data 288 and master data or gropuings 286. The Master Data 286 includes the entry of information which may be utilized in grouping the private company information. In the example shown, the master data selection 286 includes a Standard Industrial Index Field and an International Industrial Index Field. Subscriber data 288 is used as part of a login routine by the user between the user interface and the centralized information exchange system 32. In the exemplary embodiment shown, Subscriber Data 288 includes a unique previously designed Registration Number and User Password. The Registration Number and User Password are transmitted as a digital fingerprint to the centralized information exchange system 32 and must be verified before allowing communication between the user interface and the centralized information exchange system 32.
FIG. 13 is a diagram illustrating one exemplary embodiment of the exchange portion of a graphical user interface private company financial statement template, indicated generally at 300. The template 300 includes headings for Input Control, Consolidated Total, Main Division, Division 1, Division 1 and Other Divisions at 302. In the example shown, the exchange portion includes entry fields for Deal-Based Operating Data 304, Book Value-Financials Acquired-Sold Company 306, Transaction Data 308, and Asset Deal 310. In one exemplary embodiment, the deal-based operating data 304 includes entries for sales/revenue and EBITDA. The Book Value-Financials Acquired-Sold Company 306 includes entries for assets, payables-accruals, bank debt or secured debt, all other amortizing debt, all other debt and book value of fixed equity instruments. The Transaction Data 308 includes entries for whether the transaction was a stock or paper deal, common paper, common shares outstanding, shares bought or sold, price paid per share or amount paid for common percent of common acquired, whether fixed equity instruments percentage of book was 100%, if less than 100%, amount paid for face instrument, all debt excluding trade payables and accruals where the percentage of book was 100%, and if less than 100% amount paid for face instrument. The Asset Deal 310 includes entries for deal basis, financing structure and computed post-acquisition enterprise value.
In a similar manner, FIG. 14 illustrates one exemplary embodiment of a graphical user interface private company transaction template, indicated generally at 350. The transaction template 350 includes field headings 352, including Input Control, Consolidated Total, Main Division, Division 1, Division 1 and Other Divisions. The confidential portion includes Confidential Identifying Data 354. Access data portion 359 includes Master Data 356 and Subscriber Data 358. The exchange portion 361 includes Operating Data 360, Assets & Working Capital 362 and Financing 368. The Operating Data 360 includes entries for sales/revenues, gross profit, operating profit, depreciation, amortization, CO compensation and property rents. The Assets & Working Capital 362 includes entries for assets, accounts receivable, inventories, equipment (net), intangibles, and payables & accruals. The Financing 368 includes entries for interest bearing debt, other debt, other equity and equity invested. Other suitable public company and private company templates will become apparent to those skilled in the art after reading the present application.
FIG. 15 is a diagram illustrating one exemplary embodiment of statistics maintained at the centralized information exchange system 32 based on predetermined statistical models. The private company statistics include industry average deal and valuation statistics 382, industry average collateral statistics 384, industry average operating performance data 386, and industry average asset management data statistics 388. The statistics are further broken down as shown. The statistics are further sorted or “grouped” by SIC codes and NAICS codes, and by three sales and asset levels and by six geographical regions within the United States. Also, the statistics may be grouped by statistics obtained from qualified users or non-qualified users.
FIGS. 16-20 are flow diagrams illustrating exemplary embodiments of a method of trading information according to the present invention. Reference is also made to previously detailed FIG. 1 through FIG. 15.
FIG. 16 is a flow diagram illustrating one exemplary embodiment of trading information according to the present invention. In step 402, information is collected from a user at a first location. The collected information has confidential data portion and an exchange data portion. In step 404, only the exchange data portion is transmitted to a centralized information exchange system via a network communication link. In step 406, an exchange data set is defined at the centralized information exchange system. In step 408, the exchange data set is updated using the exchange data portion. In step 410, an output data set is determined from the exchange data set, wherein the output data set is accessible by one or more users. The users may be qualified users.
FIG. 17 is a flow diagram further illustrating the step of determining the output data set. In step 420, a statistical model is defined. In step 422, a statistical data set is generated using the exchange data set and the statistical model. In step 424, the statistical data set is stored as the output data set.
FIG. 18 is a flow diagram illustrating another exemplary embodiment of a method of trading information according to the present invention. The method includes the step of collecting commercial data information via a webpage from a user at step 430. In step 432, a commercial data record is generated from the commercial data information, including a confidential subrecord and an exchange subrecord. In step 434, a commercial statistical analysis system is defined having an exchange data set. In step 436, only the exchange subrecord is transmitted via a network communication link to the commercial statistical analysis system. In step 438, the exchange data set is updated using the exchange subrecord. In step 440, a commercial statistical data set is generated using the commercial statistical analysis system. The commercial statistical analysis data is accessible by the user.
FIG. 19 is a flow diagram further illustrating one exemplary embodiment of collecting information from a user. The method includes the step of inputting confidential subrecord data at 450. In step 452, exchange subrecord data is input. In step 454, one or more data groups are defined. In step 456, the data group(s) is determined from confidential subrecord data and exchange subrecord data. In step 458, the determined data group(s) is associated with the exchange subrecord.
FIG. 20 is a flow diagram illustrating one exemplary embodiment of a login routine used in the method of trading information according to the present invention. In step 470, a webpage template is defined. In step 472, information is collected from the user via the webpage template. In step 474, the commercial statistical analysis system is accessed via the webpage using a login routine, wherein the login routine determines whether a user is a user. In step 476, the output data set is transmitted to the user at the completion of the login routine if the user is determined to be a user, wherein the output data set corresponds to a predefined theory.
Although specific embodiments have been illustrated and described herein for purposes of description of the preferred embodiment, it will be appreciated by those of ordinary skill in the art that a wide variety of alternate and/or equivalent implementations calculated to achieve the same purposes may be substituted for the specific embodiments shown and described without departing from the scope of the present invention. Those with skill in the chemical, mechanical, electromechanical, electrical, and computer arts will readily appreciate that the present invention may be implemented in a very wide variety of embodiments. This application is intended to cover any adaptations or variations of the preferred embodiments discussed herein. Therefore, it is manifestly intended that this invention be limited only by the claims and the equivalents thereof.

## Claims

1. A computerized method for trading information related to commercial companies via a network, comprising the steps of:
collecting private company information from a first user location through a user interface on a computer system at the first location, the private company information having a confidential data portion, which includes confidential identifying information for a private company that corresponds with the private company information;
generating exchange data from the private company information at the first user location, which is characterized by an absence of confidential identifying information for the private company, wherein the act of generating the exchange data includes acts of:
associating classifications to the private company information based on the confidential identifying information;

receiving only the exchange data at a central computer system at a central location via a computer network;
defining an exchange data set at the central location on the central computer system, wherein the defined exchange data set comprises information on assets and liabilities of the private company;
updating, by a processor, the exchange data set using the exchange data;
generating private company statistical data based upon the updated exchange data and at least one statistical model, wherein the private company statistical data includes statistical averages, the statistical averages including at least one of average deal statistics, average valuation statistics, average collateral statistics, average operating performance statistics, and average operating performance data;
determining, by the processor, an output data set from the exchange data set;
transmitting the output data set from the central location to a user at the first location via the computer network;
wherein the private company is part of a commercial industry, and the output data set includes statistical averages for the commercial industry;
wherein the output data set comprises statistical information for obtaining a valuation of the private company, the valuation of the private company including at least an estimated market value of the private company, wherein the estimated market value incorporates evaluation of liabilities and assets of the private company; and
valuing the private company based on the output data set.

2. The method of claim 1, wherein the step of receiving only the exchange data at a central computer system at a central location includes the step of receiving only the exchange data to a central location via a network.

3. The method of claim 2, wherein the computer network includes an Internet communication link.

4. The method of claim 1, further comprising the steps of:
defining one or more groups; and
determining one of more groups associated with the collected information.

5. The method of claim 4, further comprising the steps of attaching the determined groups to the exchange data portion.

6. The method of claim 1, further comprising the steps of:
defining the user as a qualified user;
wherein the act of updating, the exchange data set includes segregating exchange data received from a qualified user from exchange data received from a non qualified user.

7. The method of claim 6, further comprising the step of defining the exchange data set as a qualified user exchange data set.

8. The method of claim 1, wherein transmitting the output data set from the central location to user at the first location is performed via an Internet communication link.

9. The method of claim 1, further comprising storing the output data set at the first location.

10. The method of claim 1, further comprising storing the output data set at the central location.

11. The method of claim 1, further comprising the step of storing the collected information at the first location.

12. The method of claim 1, further comprising the step of storing the confidential data portion at the first location.

13. The method of claim 1, wherein the step of determining the output data set further comprises the steps of:
defining a statistical model;
generating a statistical data set using the exchange data and the statistical model, wherein the act of generating a statistical data set includes an act of generating at least one of average values for the exchange data and a range of values for the exchange data; and
storing the statistical data set as the output data set.

14. The method of claim 13, further comprising the step of receiving a second exchange data from a second user; updating the exchange data set using the second exchange data; and transmitting the output data set to the second user.

15. The method of claim 1, wherein the step of collecting information from a user further includes the steps of:
providing a graphical user interface including a webpage; and
providing for collection of information from the user location via the webpage displayed at the user location.

16. The method of claim 15, further comprising the step of:
providing for access to the central controller via the webpage using a login routine, wherein the login routine determines whether a user is allowed to access the central controller.

17. The method of claim 16, wherein transmitting the output data set to the user is performed at the completion of the login routine.

18. The method of claim 1, further comprising the step of generating a graph from the output data set.

19. The method of claim 1, wherein the step of providing for collection of information from a user location includes a step of collecting benchmark information.

20. The method of claim 19, wherein the benchmarking information is asset information.

21. The method of claim 20, wherein the asset information includes public business valuation information.

22. The method of claim 20, wherein the asset information includes private business valuation information.

23. The method of claim 20, wherein the asset data information includes portfolio information.

24. The method of claim 20, wherein the asset information includes capital structure information.

25. The method of claim 20, wherein the benchmarking information is performance information.

26. The method of claim 1, further comprising the step of collecting public company commercial information from a published public exchange market.

27. A network business method for providing commercial statistical data via a network, comprising the steps of:
collecting commercial data information via a webpage displayed on a computer at a first user location, wherein the commercial data information relates to a private company in an industry;
generating, by a computer system, a commercial data record from the commercial data information, including a confidential subrecord that identifies the private company;
generating, by the computer system, an exchange subrecord from the commercial data information at the first user location, which is characterized by an absence of confidential identifying information for the private company, wherein the act of generating the exchange subrecord includes an act of associating classifications to the private company information based on the confidential subrecord;
authenticating a first user;
receiving only the exchange subrecord of the confidential and exchange subrecords via a computer network communication link to the commercial statistical analysis system, where the act of receiving occurs after authenticating the first user;
updating, by the computer system at the central location, exchange data using the exchange subrecord, wherein the exchange data includes information on assets and liabilities of the private company;
generating a commercial statistical data set using the commercial statistical analysis system on the computer system at the central location, based upon the updated exchange data and at least one statistical model, wherein generating the commercial statistical data set includes generating statistical averages information, the statistical average information including at least one of average deal statistics, average valuation statistics, average collateral statistics, average operating performance statistics, and average operating performance data,
transmitting at least a portion of the commercial statistical data set to the user location over a computer communication network;
wherein the commercial statistical data set is configured to protect an identity of the private company from other users with access to the commercial statistical data set; and
valuing the private company based on the commercial data set.

28. The method of claim 27, wherein transmitting the commercial statistical data set from the commercial statistical analysis system to the user location is completed via the network communication link.

29. The method of claim 28, further comprising storing the commercial statistical data set.

30. The method of claim 29, further comprising storing the commercial statistical data set at the commercial statistical analysis system.

31. The method of claim 27, further comprising the step of providing for storage of the collected information at the location of the user.

32. The method of claim 27, further comprising the step of providing for storage of the confidential subrecord at the location of the user.

33. The method of claim 27, wherein the step of generating the commercial statistical data set further comprises the steps of:
defining a statistical model; and
generating a commercial statistical data set using the exchange data set and the statistical model.

34. The method of claim 33, further comprising the step of receiving a second exchange subrecord from a second user; and updating the exchange data set using the second exchange subrecord.

35. The method of claim 27, further comprising the steps of:
providing for access to the commercial statistical analysis system via the web page using a login routine, wherein the login routine determines whether a user is allowed to access the commercial statistical analysis system.

36. The method of claim 35, wherein transmitting the commercial statistical data set to the user location is performed at the completion of the login routine.

37. The method of claim 27, further comprising the step of generating a graph from the commercial statistical data set.

38. The method of claim 27, wherein the step of providing for collection of information from a user location includes the step of providing for collection of asset information.

39. The method of claim 38, wherein the asset information includes public business valuation and other statistical information.

40. The method of claim 38, wherein the asset information includes private business valuation and other statistical information.

41. The method of claim 27, further comprising the step of determining whether the user is a qualified user.

42. The method of claim 41, further comprising the step of defining a qualified user exchange data set, wherein the qualified user exchange data set is allowed to be accessed only by the qualified user.

43. The method of claim 42, further comprising the step of defining the exchange data set to include the qualified user exchange data set as a subset of the exchange data set.

44. The method of claim 27, comprising the step of defining the network communication link to include an internet communication link.

45. A system for trading commercial information via a network, the system comprising:
a commercial information exchange system including an exchange system controller and an exchange data storage system;
wherein the commercial information exchange system includes a communication component configured to receive an exchange subrecord from a user location via a computer network, after authenticating the user, wherein the exchange subrecord is characterized by an absence of confidential identifying information for a private company, and is further characterized by including classifications for the exchange subrecord based on the confidential indentifying information, and
wherein the commercial exchange system is further configured to update an exchange data set using the exchange subrecord, to generate a commercial statistical data set from the exchange data set, to transmit using the communication component as least a portion of the commercial statistical data set to the user location via the computer network, and further wherein the exchange subrecord includes commercial information relating to a private company in an industry, and the statistical data set includes statistical averages for the industry, the statistical averages including at least one of average deal statistics, average valuation statistics, average collateral statistics, average operating performance statistics, and average operating performance data, wherein the commercial statistical data set is defined by a lack of information identifying a source of the exchange subrecord; and wherein the commercial exchange system is further configured to establish a value for the private company.

46. The system of claim 45, wherein a user is a qualified user, and the commercial statistical data set is accessible only by one or more qualified users.

47. The system of claim 45, wherein the communication component component is further configured to accept data from a first user interface located at a first location;
wherein the communication component is adapted to communicate with the first user interface, for accepting transmission of the exchange record from the first user interface and for transmitting the commercial statistical data set to the first user interface from the commercial information exchange system.

48. The system of claim 45, wherein the computer network includes the Internet.

49. The system of claim 45, wherein the exchange system controller further includes a web server.

50. The system of claim 45, wherein the exchange system controller further includes a query manager for managing queries between the user and the commercial information exchange system.

51. The system of claim 45, wherein the exchange system controller includes a statistical model, wherein the commercial statistical data set is generated using the exchange data set and the statistical model.

52. A computer-readable medium having computer-executable instructions that when executed by a computer cause the computer to perform a method for providing commercial statistical data via a network comprising:
collecting commercial data information via a webpage from a first user location, the commercial data information being associated with a private company in an industry;
generating, at the first user location, commercial data from the commercial data information, including a confidential subrecord that identifies the private company and an exchange subrecord which is characterized by an absence of confidential identifying information for the private company, wherein the act of generating the commercial data includes acts of:
associating classifications to the private company information based on the confidential subrecord;

authenticating the first user;
receiving only the exchange subrecord of the confidential subrecord and the exchange subrecord via a network communication link to the commercial statistical analysis system, where the act of receiving occurs after authenticating the first user;
updating the exchange data set using the exchange subrecord;
generating a commercial statistical data set using a commercial statistical analysis system and at least one statistical model, wherein the commercial statistical data set includes statistical averages, the statistical averages including at least one of average deal statistics, average valuation statistics, average collateral statistics, average operating performance statistics, and average operating performance data;
transmitting the commercial statistical data set from the commercial statistical analysis system to the user location;
wherein the commercial statistical data set is configured to protect an identity of the private company from other users with access to the commercial statistical data set; and
establishing a value for the private company based on the exchange data.

53. The computer-readable medium of claim 52, wherein transmitting the commercial statistical data set from the commercial statistical analysis system to the user is performed via the network communication link.

54. The computer-readable medium of claim 52, wherein the step of generating the commercial statistical data set further comprises:
defining a statistical model; and
generating a commercial statistical data set using the exchange data set and a statistical model.

55. The computer-readable medium of claim 52, further comprising the step of receiving a second exchange subrecord from a second user; and updating the exchange data set using the second exchange subrecord.

56. The computer-readable medium of claim 52, further comprising the step of:
providing for access to the commercial statistical analysis system via the webpage using a login routine, wherein the login routine determines whether a user is allowed to access the commercial statistical analysis system.

57. The computer-readable medium of claim 56, wherein transmitting the commercial statistical data set to the user location is performed at the completion of the login routing.

58. The computer-readable medium of claim 52, wherein the step of collecting information from a user location includes the step of collecting private business valuation information.

59. A method for trading private company statistical data between a central computer system and a participant computer system, the central computer system executing the acts of:
providing an interface for collection of private company data information including business valuation and other statistical data, displayed on a computer system at a first user location, from a user associated with the private company, wherein the private company is part of a commercial industry wherein the interface is configured to:
generate a private company data record from the private company data information, including a confidential subrecord, which includes confidential identifying information for the private company on a computer system at the first user location;
generate an exchange subrecord, which is defined by an absence of confidential identifying information for the private company;
associate the industrial classifications to the private company information;
include the industrial classifications in the exchange subrecord;
store the confidential subrecord at the location of the user; and
defining, on a central computer system, a statistical analysis system having exchange data and at least one statistical model;
authenticating the first user;
receiving only the exchange subrecord of the confidential subrecord and the exchange subrecord at the statistical analysis system over a computer network, where the act of receiving occurs after authenticating the first user;
updating, by a processor, the exchange data using the exchange subrecord;
storing the updated exchange data to the statistical analysis system;
generating private company statistical data using the statistical analysis system based upon the updated exchange data and the at least one statistical model, wherein the private company statistical data includes statistical averages for the commercial industry, the statistical averages including at least one of average deal statistics, average valuation statistics, average collateral statistics, average operating performance statistics, and average operating performance data; and
transmitting, over the computer network, at least a portion of the private company statistical data to one or more qualified users, wherein a qualified user is defined as a user who provides exchange subrecords to the statistical analysis system, and wherein the private company statistical data is configured to protect an identity of the private company from other users with access to the private company statistical data, wherein the private company statistical data comprises statistical information for obtaining a valuation of the private company, the valuation of the private company including at least an estimated market value of the private company, wherein the estimated market value incorporates evaluation of liabilities and assets of the private company.

60. The method according to claim 27, wherein the exchange subrecord comprises statistical information for obtaining a valuation of the private company.

61. The system according to claim 45, wherein the commercial statistical data set enables another user to determine a valuation of the private company.

62. The computer-readable medium of claim 52, wherein the commercial statistical data set enables another user to determine a valuation of the private company.