Abstract:
A virtual printer for transmitting information from one application to another application. In one embodiment, the virtual printer includes a print driver for capturing information, and a communication system for communicating the captured information to a remote system.

Description:
BACKGROUND OF THE INVENTION 
     This invention relates generally to providing information in one system to other systems and, more particularly, integration of applications through the use of network enabled print services. 
     Legacy applications often have substantial residual value within an organization. Such legacy applications, however, typically operate independently and are not designed to integrate within larger system environments, such as Internet, Intranet, and Extranet environments. Substantial savings could be achieved if existing applications can be integrated into other systems without modification. 
     BRIEF SUMMARY OF THE INVENTION 
     The present invention, in one aspect, is a virtual printer that provides integration to a distributed application framework. Rather than sending application information to a physical printer, the print services route the application information over a network, to a system that extracts and processes the application information. In an exemplary embodiment, the virtual printer includes a print driver for capturing text to a temporary file and a communication system for compressing and communicating the captured text to a remote system. 
     Although virtual printing is described herein in the context of financial lending, virtual printing can be utilized in many other contexts. Generally, virtual printing can be used to facilitate communication between legacy applications and other applications. More specifically, any legacy application that can print application information to a printer can leverage the virtual printer to send the application information to another application via, for example, the Internet. 
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS 
     FIG. 1 is a block diagram of an exemplary embodiment of a server architecture. 
     FIG. 2 is a block diagram of an alternative exemplary embodiment of a server architecture. 
     FIG. 3 is a functional block diagram based on the server architectures illustrated in FIGS. 1 and 2. 
     FIG. 4 is a class diagram for a general information model. 
     FIG. 5 is a class diagram for an asset based loan information model. 
     FIG. 6 is a class diagram for a core account model. 
     FIG. 7 is a class diagram for an invoice model. 
     FIG. 8 is a class diagram for a payment model. 
     FIG. 9 is a class diagram for an accounts receivable model. 
     FIG. 10 is a class diagram for an accounts payable model. 
     FIG. 11 is a class diagram for an inventory model. 
     FIG. 12 is a class diagram for relationships between models for monitoring accounts payable, accounts receivables, ineligibles, and inventory. 
     FIG. 13 is a block diagram of a print driver. 
     FIG. 14 is an activity diagram for generation of customer defined reports, and manual export and exhibit completion. 
     FIG. 15 is an activity diagram for generation of system reports, and manual export and exhibit completion. 
     FIG. 16 is an activity diagram for generation of customer defined reports, manual export, and automated exhibit completion. 
     FIG. 17 is an activity diagram for generation of system reports, and integrating reporting and exhibit completion. 
     FIG. 18 is an activity diagram for generation of customer defined reports, and integrating reporting and exhibit completion. 
     FIG. 19 is an activity diagram illustrating print scraping processes. 
     FIG. 20 illustrates error processing. 
     FIGS. 21A-21C show an activity diagram for monitoring accounts receivable, accounts payable, and inventory. 
     FIGS. 22A-22C show an activity diagram for facsimile-based client report submission. 
     FIGS. 23A-22B show an activity diagram for processing cash advance requests. 
     FIG. 24 is an activity diagram for updating financial information. 
     FIG. 25 is an activity diagram for determining accounts receivable performance. 
     FIG. 26 is an activity diagram for determining accounts payable performance. 
     FIG. 27 is an activity diagram for determining inventory performance. 
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     Exemplary embodiments of systems and processes that facilitate integrated Internet-based electronic reporting and workflow process management are described below in detail. The systems and processes facilitate, for example, electronic submission of financial reports from accounting systems using native reporting tools, and automated extraction of financial information from the submitted reports, on-line requests for credit, document management and business process automation, automated risk assessment, and web-based financial reporting for both internal and external system users. 
     The systems and processes are not limited to the specific embodiments described herein. In addition, components of each system and each process can be practiced independent and separate from other components and processes described herein. Each component and process can be used in combination with other components and processes. 
     System Architecture 
     Referring now to the drawings, FIG. 1 is a block diagram of an exemplary embodiment of a server architecture of a lending system  10 . As illustrated in FIG. 1, system  10  includes a web server  12 , an application server  14 , a database server  16 , a directory server  18 , a workflow server  20 , and a mail server  22 . A disk storage unit  24  is coupled to database server  16  and director server  18 . Servers  12 ,  14 ,  16 ,  18 ,  20 , and  22  are coupled in a local area network (LAN)  24 . In addition, an account manager work station  26 , a collateral analyst work station  28 , a portfolio manager work station  30 , an underwriter work station  32 , and a senior manager work station  34  are coupled to LAN  24 . Alternatively, work stations  26 - 34  are coupled to LAN  24  via an Internet link. 
     Each work station  26 ,  28 ,  30 ,  32 , and  34 , in the exemplary embodiment, is a personal computer including a web browser. Although the functions performed by the account manager, collateral analyst, portfolio manager, underwriter, and senior manager typically are illustrated as being performed at respective work stations  26 ,  28 ,  30 ,  32 , and  34 , such functions can be performed at one of many personal computers coupled to LAN  24 . Work stations  26 ,  28 ,  30 ,  32 , and  34  are illustrated as being associated with separate functions only to facilitate an understanding of the different types of functions that can be performed by individuals having access to LAN  24 . 
     Web server  12  and mail server  22  are configured to be communicatively coupled to respective borrowing customers  36  and to third party customers, e.g., auditors,  38  via an ISP Internet connection  40 . The communication in the exemplary embodiment is illustrated as being performed via the Internet, however, any other wide area network (WAN) type communication can be utilized in other embodiments, i.e., the systems and processes are not limited to being practiced via the Internet. In addition, and rather than a WAN, a local area network could be used in place of the WAN. 
     In the exemplary embodiment, each borrowing customer  36  has a legacy accounting system  42  coupled to a financial officer work station  44 . Work station  44  is configured to communicate with web server  12  and mail server  22 . As used herein, the term legacy accounting system refers to a back office composite set of systems that perform accounting functions (e.g., general ledger, accounts receivable, accounts payable, inventory). Many different accounting systems currently are in use, or may be used, by borrowing customers. 
     FIG. 2 is a block diagram of an alternative exemplary embodiment of a server architecture of a lending system  50 . Components in system  50  identical to components of system  10  are identified in FIG. 2 using the same reference numerals as used in FIG.  1 . System  50  differs from system  10  in that system  50  includes a fax server  52  coupled to LAN  24 . In the embodiment illustrated in FIG. 2, fax server  52  communicates with borrowing customers  36  via a telephone link. Also, in system  50 , the mail server is incorporated into web server  22 . 
     The architectures of systems  10  and  50  are exemplary only. Other architectures are possible and can be utilized in connection with practicing the processes described below. 
     FIG. 3 is a functional block diagram of processes performed using the architectures of systems  10  and  50 . More specifically, a data repository  100  holds business and financial information (e.g., electronic copies of original financial reports, borrowing client and customer directories, loan terms and conditions, and account balance and details). The information in data repository  100  is typically stored in a combination of relational databases, object oriented databases, and directory servers. 
     Process management and workflow manager  102  includes business processes and rules defined and implemented using workflow and process management servers. Process management and workflow manager  102  may, for example, be a commercially available system such as the system known as the Verve Embedded Workflow System. Business activities (e.g., financial reporting and cash advance requests) are conducted according to these defined processes and procedures. System users participate in these processes in accordance with their roles and responsibilities, i.e., authorization levels, as described below in more detail. Of course, infrastructure other than workflow and process management servers can be used for performing these functions. 
     A document management system  104  collects and manages financial reports. Collateral and associated business process activities are archived in electronic form for later reference (e.g., for process and other business audits, and for disaster recovery) by system  104 . 
     Automated document loading  106  enables information extraction from financial reports submitted by borrowing customers provided in arbitrary electronic formats. The financial reports are converted from arbitrary document formats to predefined formats for use in the automated analysis and reporting processes. An exemplary system for performing such functions is described below with reference to print scraping. The conversion process involves detecting the report type, mapping and translating the report information in to a standardized form, populating the online data repository with the financial details and summary information, reconciliation of financial information, and handling any exceptions or error conditions that may be encountered in the conversion process. Each borrowing client may have a unique set of reporting formats with unique mapping and translation processes. Examples of commercially available mapping and translation systems include Data Junction, Mercator, and Monarch. 
     Reporting and analysis tools  108  utilize business-specific process parameters and borrowing client financial information to drive the automated risk analysis and reporting processes. Reporting software that include risk analysis tools include SQR server (SQRIB) and Business Objects (WEBI), which are well known and commercially available. This information is used to make business decisions (e.g., extend or tighten credit for borrowing customers). Processing associated with such activities is described below in detail. 
     Mail server  22  dispatches e-mail notifications. Server functionality may be performed using, for example, commercially available software such as Microsoft Exchange, Netscape Messenger, Lotus Notes, or UNIX SMTP mail. Any notification system such as voice mail and fax, in addition to or as a substitute for, e-mail notifications, also can be used. 
     Web server  12  facilitates interactions with system users, e.g., borrowing customers, and internal users such as account managers, collateral analyst, and portfolio managers. Client communications are handled by commercially available software such as Web browsers and other application software (e.g., network enabled print drivers). Of course, e-mail systems also can be used for client communications. 
     Fax server  52  receives collateral information from customers that the customers have in paper form (e.g., bills of lading, paper copies of invoices) and then routes this information in electronic form to data repository  100 , e.g., to the process management and workflow manager  102 . Additional details regarding fax server  52  are set forth below. 
     Loan management system  112 , such as the commercially available loan management system known as ABLE, and data warehouse  114 , such as an internal data warehouse, refer to back office systems and related operations. Specifically, the back office system is used to manage and track financial deals with borrowing customers, and system  112  uses terminal interfaces  115  to interact with users and batch file interfaces  117  to communicate with other back office applications. Data warehouse  114  provides a business data warehouse and reporting infrastructure  119 . 
     E-Mail alerts  116  notify system users of pending information and/or actions that either require attention (e.g., review and approval actions) or that may be of interest (e.g., risk assessment reports). Web browser  118  enables user interaction with, for example, data repository  100 . Commercially available web browsers, such as Netscape Navigator, Communicator and Microsoft Internet Explorer, can be utilized. 
     Legacy account system  42  refers to an internal accounting system used by a borrowing customer. There are several hundred different types of commercial accounting packages in use, as well as numerous instances of custom built accounting systems. 
     Reporting process  120  involves the use of various reporting tools which are typically integrated with legacy accounting system  42  to generate a variety of financial reports (e.g., accounts receivable, accounts payables, sales journal, inventory). The types of reports and corresponding report formats used by borrowing customers vary widely. 
     Automated reporting tools  122  integrate with legacy accounting system  42  to handle the electronic delivery of the required financial reports. Automated reporting tools  122  are integrated with reporting process  120  and may be invoked manually by a person acting on behalf of the borrowing customer, or automatically in accordance with defined business rules (e.g., daily, weekly, or monthly reporting schedules). 
     Exhibits  124  are typically manually generated summaries of current financial information that a client records. Exhibits  124  are used to simplify data entry into the back office systems. Paper collateral  126  refers to paper copies associated with business transactions (e.g., invoices, bills of laden) required to document and later verify transactions during borrowing client audits as well as in other fraud detection processes. The automated and electronic based systems and processes described herein facilitate rendering manually generated exhibits as obsolete. 
     Information Models 
     Set forth below are models identifying the data/object structures for use in systems  10  and  50 . The models are exemplary only, and additional models and model structures can be used. The models are illustrated in FIGS. 4-13 in the universal modeling language (UML). 
     Referring again particularly to the drawings, FIG. 4 is a class diagram illustrating a general information model  130 . As shown in FIG. 4, there are a variety of loan types, e.g., asset based loan  131 , term loan  132 , factoring loan  133 . Some loan types, such as factoring loan  133 , have further sub-classes, e.g., recourse factoring loan  134  and non-recourse factoring loan  135 . Each loan type has its own requirements in terms of defining collateral, computing availability, payment, and processing terms, for example. Additional loan types can be added to the system by sub-classing a ClientLoan object  136  and building any additional classes required to define and track the loan. 
     FIG. 5 is a class diagram for an asset based loan. (ABL) information model  140 . In ABL type loans  142 , clients are advanced money based on current accounts receivable  144 , accounts payable  146 , and inventory information  148 . Accounts receivable  144 , accounts payable  146 , and inventory objects  148  are populated based on data extracted from reports generated by the legacy accounting system. Loan information is contained in a loan contract object  150 . Defined loan covenants such as turn time, concentration, and ineligibles also are contained in object  150 . 
     FIG. 6 is a class diagram for a core account model  160 . The classes of data illustrated in FIG. 6 are used to store detailed invoice  162  and payment  164  information, as well as implement reconciliation, e.g., invoice adjustments  166 , and other low-level analysis and reporting processes. 
     FIG. 7 is a class diagram for an invoice model  180 , and FIG. 8 is a class diagram for a payment model  200 . The invoice  182  and payment  202  objects, e.g., accounts payable and receivable invoice objects  184  and  186 , and accounts payable and receivable payment objects  204  and  206 , are sub-classes that support the specific requirements of the accounts receivable and accounts payable information. 
     FIG. 9 is a class diagram for an accounts receivable model  220 . The Invoice Adjustment  166 , ARIvoice  186 , and ARPayment  206  objects are used to track accounts receivable information  144  and to reconcile invoices and payments. These objects are also used by higher level analysis and reporting tools (e.g., to determine ineligibles, for fraud detection, risk management, and on-site client audits). 
     FIG. 10 is a class diagram for an accounts payable model  240 . The InvoiceAdjustment  166 , APInvoice  184 , and APPayment  204  objects are used to track accounts payable information  146  and to reconcile the invoices and payments. These objects are also used by higher level analysis and reporting tools (e.g., for fraud detection, risk management, and on-site client audits). 
     FIG. 11 is a class diagram for an inventory model  260 . The InventoryPerpetualListing  262 , InventoryAdjustment  264 , and InventoryItem  266  objects are used to track inventory information and to determine ineligible inventory items. These objects are also used by higher level analysis and reporting tools (e.g., for fraud detection, risk management, and on-site client audits). 
     FIG. 12 is a class diagram  280  for relationships between models for monitoring accounts payable  146 , accounts receivables  144 , and inventory  262 . A NoticeOfRevolvingCreditAdvance  282  object is used to process cash advances based on current loan availability for borrowing. A BorrowingBaseCertificate  284  object is used to monitor accounts payable, accounts receivable, ineligibles, and inventory to update and track the current ABL loan availability for borrowing. 
     Electronic Submission Process 
     The client interface enables use of a diverse set of customer accounting systems into an e-Commerce infrastructure, which streamlines the relationship between the lender and customers with revolving lines of credit. Systems  10  and  50  are configured to enable both manual and electronic submission of data. The electronic submission of the financial data reduces the cost of monitoring the customer, reduces the number of steps that human error can be introduced in, and provides the lender with the opportunity to perform indepth analysis of the customer data across their entire portfolio. This increase in efficiency allows the lender to operate with lower overhead and provide a better understanding of risk exposure and better insight into risk mitigation. 
     With known present paper based system, customers generate reports from their accounting systems on a regular basis and summarize those reports by manually scribing information onto supplementary exhibits. The present system allows users to submit reports electronically to eliminate the need for customers to manually transcribe summary information. However, the automatic generation of exhibits from electronically submitted reports and the ability to tie that information to the report details depend on the system ability to programmatically extract the information from the electronic reports. Since the reports are generated from a diverse set of accounting systems, the degree to which information can be automatically extracted depends on the reporting capabilities of the accounting systems and the ability to map and translate information from a customer defined formats to a system format. 
     With respect to electronic submission, either a fixed format for each of the required reports is defined, or translation services that map a customer defined format into a format understood by the system are utilized. By establishing a format for required reports, the ability to extract information from the customer submitted documents simply becomes a matter of programmatic extraction. Having standardized report formats assumes that the client accounting systems have the ability to generate custom reports, or have the ability to use third party reporting packages. 
     In the event that the customer is unable to control the format of their financial reports or is unable to comply with the format of the system report, there must be some facility to translate the customer report into an acceptable format. The translation services require that the customer format can be easily parsed and have relevant data extracted from the report. 
     The accounting system reports need to be electronically submitted to the system. There are a number of ways these reports can be submitted, which affect functionality and end user interaction. For example, the submission of reports can be accomplished by using a web browser, i.e., the HTTP transmission protocol. Other transmission protocols, such as FTP and SMTP also can be used. The use of a web browser, however, limits automating the reporting process. A more integrated approach to electronic document submission is through the use of desktop software. Desktop software provides tighter integration with the accounting system, as well as provides the ability to automate the reporting process. 
     With respect to a web browser, users generate the required reports and then export those reports from their accounting system into a format that can be processed by the system. The customer may automate the generation of the financial reports. However, the actual browser based submission of the reports is not automated. Integration with the accounting system depends on the ability to export reports to a file system that can be seen by a web browser (i.e. local or network file system). The loose integration with the accounting system provides the ability to serve the largest possible customer base. The actual submission of the electronic reports involves user interaction and is not automated. 
     Through the use of a virtual printer, users simply print the required reports from within their accounting system. Instead of generating paper output, the virtual printer submits the report electronically to the system. The virtual printer interface provides a tight integration with the accounting system, since the user actually submits the report electronically from within their accounting package. Additionally, the submission of the report is done at the point of review. The user views what he/she is about to submit. By sending the report to the virtual printer, the user confirms that the information is correct and up-to-date. 
     Customers also can be provided with a stand-alone application capable of electronically submitting a report on a file by file basis. If clients generate reports from a command line application, the clients couple the generation of the reports with electronic submission through the use of scripting. Clients then schedule the appropriate scripts to execute automatically to satisfy the reporting requirements. Provided that the client automatically schedules the report generation and submission, the entire reporting process occurs without user interaction. 
     With respect to alternative communications between a customer and the system, and in order to address the broadest client base, it is necessary to have several different accounting system interfaces. An interface definition is a pair-wise combination of report format and method for electronic submission. At the lowest level interface (Level I), the broadest spectrum of client base is addressed by having the loosest coupling to the accounting system. However, the loosest coupling requires the most user interaction. As the interface level increases, the accounting system will have a tighter coupling with the system, which provides increased functionality at the expense of decreasing the number of clients to which the interface may be applied. 
     The interface levels are defined below. Generally, many clients may initially start at the Level I interface. To achieve the benefits of the automated submission and analysis, the objective is to transition such clients from Level I to Levels IV and V as quickly as reasonably possible. 
     Level I—Customer Defined Reports, Manual Export and Exhibit Completion 
     Level II—System Defined Reports, Manual Export and Automated Exhibit Completion 
     Level III—Customer Defined Reports, Manual Export and Automated Exhibit Completion 
     Level IV—System Defined Reports, Integrating Reporting and Exhibit Completion 
     Level V—Customer Defined Reports, Integrating Reporting and Exhibit Completion 
     In FIGS. 13-17, operations are identified as being performed by accounting system  42 , the browser in a customer-side computer (e.g., computer  44 ), and a server (e.g., servers  12 - 22 ). More specifically, FIG. 13 illustrates processing  300  for generating customer defined reports, and manual export and exhibit completion (Level I). The Level I interface depends on the client ability to export the reports from their accounting system to their local file system. Once the required reports are exported, the client can then submit the reports to the system using a standard web browser. During the submission process, the user identifies the report submitted and attaches the exported report to the web form (file upload). After submitting the required reports, the client then completes the corresponding exhibits, by transcribing summary information from the reports to another web form. 
     Specifically, at some time (after logging in), the user can check to determine whether reports are due  302 . The user can enter their accounting system with the knowledge of what reports he/she must produce  304 . After generating the desired report, the user then exports the report to their local file system (or one visible to the browser)  306 . From the browser, the user selects to send the generated report  308 . Since the report is being treated as an opaque object, the user must specify which report he/she is submitting, and attach the correct report to the form submission. The received report is stored  310  in a database, e.g., via database server  16 . The reports are viewable by designated personnel. However, no attempt is made to programmatically extract any information from the report(s). Just after supplying with the appropriate reports, the user then fills out summary web form, which represent the current paper exhibits  312 . The double entry is still required because no attempt is made to programmatically extract information from the documents. The exhibits are stored  314  for review by the appropriate personnel. 
     FIG. 14 illustrates processing  320  for generation of system reports, and manual export and automated exhibit completion (Level II). The Level II interface depends not only on the client ability to export the required reports from their accounting system to their local file system, it also depends on the accounting system ability to generate the reports in a specific format. Once the required reports are exported, the client can then submit the reports to the system using a standard web browser. During the submission process, the user simply attaches the exported report to the web form (file upload). Because the system defines the report format, it is possible to extract the information from the reports to automatically generate the supporting exhibits. 
     Specifically, at some time (after logging in), the user checks to determine whether reports are due  322 . The user can enter their accounting system with the knowledge of what reports he/she must produce and must produce a report in the exact format specified  324 . After generating the desired report, the user then exports the report to their local file system (or one visible to the browser)  326 . From the browser, the user selects to send the generated report  328 . The received report is stored  330  in a database. The reports are viewable by designated personnel. Exhibit information is then extracted  332  from the defined report format. The exhibits are stored  334  for review by the appropriate personnel. 
     FIG. 15 illustrates processing  340  for generation of customer defined reports, manual export, and automated exhibit completion (Level III). The Level III interface also depends on the client ability to export the required reports from their accounting system to their local file system. However, the client can use the reports which their accounting system already generates. Once the required reports are exported, the client can then submit the reports to the system using a standard web browser. During the submission process, the user simply attaches the exported report to the web form (file upload). The Level III interface requires that for every report type, from every client, that there is a translation service defined. The translation service allows the system to extract the information from the submitted reports to automatically generate the supporting exhibits. 
     Specifically, at some time (after logging in), the user checks to determine whether reports are due  342 . The user can enter their accounting system with the knowledge of what reports he/she must produce  344 . These reports are the same reports the customer already uses. After generating the desired report, the user exports the report to their local file system (or one visible to the browser)  346 . From the browser, the user selects to send the generated report  348 . The received report is stored  350  in a database. The reports are viewable by designated personnel. The report is translated  352 , using a pre-defined map, into a format that can be used to extract exhibit information. Exhibit information is then extracted  354  from the report(s). The exhibits are stored  356  for review by the appropriate personnel. 
     FIG. 16 illustrates processing  360  for generation of system reports, and integrating reporting and exhibit completion (Level IV). The Level IV interface does not require clients to export reports to their local file system. Reports are submitted to the system directly from within the user accounting system. The interface to the system is provided through the operating system print services. A virtual printer (e.g., virtual printer  400  described below) is defined which routes the reports directly to the system rather than generating any paper output. Because the system defines the report format, it is possible to extract the information from the reports to automatically generate the supporting exhibits. 
     Specifically, at some time (after logging in), the user checks whether reports are due  362 . The user can enter their accounting system with the knowledge of what reports he/she must produce and produces a report in the exact format specified  364 . After generating the desired report, the user then prints the report from within their accounting system. The printer the user chooses to send the report to is actually a virtual printer, having an output that is an electronic submission of the report  366 . The received report is stored  368  in a database. The reports are viewable by designated personnel. Exhibit information is extracted from the report(s)  370 . The exhibits are stored  372  for review by the appropriate personnel. 
     FIG. 17 illustrates processing  380  for generation of customer defined reports, and integrating reporting and exhibit completion (Level V). Similar to the Level IV interface, the Level V interface does not require clients to export reports to their local file system. Reports are submitted to the system directly from within the user accounting system. The interface to the system is provided through the print services of the operating system such as Windows, OS400, or UNIX print services. A virtual printer (e.g., virtual printer  400 ) is defined which routes the reports directly to the system rather than generating any paper output. The Level V interface requires that for every report type, from every client, that there is a translation service defined. The translation service allows the system to extract the information from the submitted reports to automatically generate the supporting exhibits. 
     Specifically, at some time (after logging in), the user checks whether reports are due  382 . The user can enter their accounting system with the knowledge of what reports he/she must produce. These reports may be in the format they are already using  384 . After generating the desired report, the user can then print the report from within their accounting system  386 . The printer the user chooses to send the report to is actually a virtual printer, having an output that is an electronic submission of the report. The received report is stored  388  in a database. The reports will be viewable by designated personnel. The report is translated  390  and mapped into a format that can be loaded into data repository  100 . Exhibit information is then extracted  392  from the report(s). The exhibits are stored  394  for review by the appropriate personnel. 
     Print Driver 
     Set forth below is a description of a print driver. Although the print driver is described herein in the context of financial lending processes, it should be understand that the print driver can be utilized in many other contexts. Generally, the print driver can be used in connection with interfacing with a client using any legacy system. 
     FIG. 18 is a block diagram of a virtual printer  400 . Virtual printer  400  may, for example, be implemented in financial officer computer  44  (FIG.  1 ). Printer  400  includes an application layer  402  that communicates with a graphical display interface  404 , a user interface  406 , and a spooler interface  408 , e.g., WinSpool in the Windows operating system. Interface  404  communicates with a graphics device interface  410  that communicates with a print driver  412 . Print driver  412  captures text output, e.g., in ASCII, while providing a reasonable approximation of the document layout. Graphical components are discarded. Since the output is plain text, driver  412  supports fixed width fonts to help preserve document layout. Other fonts are supported through substitution with the designated fixed width font. Additionally, the supported fonts are small point sizes, in order to prevent the application from truncating, or overlaying text. Driver  412  also supports large paper sizes (E or larger), to prevent text from wrapping. 
     Virtual printer  400  also includes a spooler  414  that communicates with WinSpool  408  and GDI  410 . Spooler  414  communicates with a print driver user interface  416  and a print processor  418 , which communicate with a language port monitor  420 . Interface  416  allows custom properties to be associated with the virtual printer. These properties include information that is required to transmit information over the Internet. These properties are stored to preserve the settings with the user&#39;s profile, and include the URL to post the data to, UserID, Password, Password Policy, Always Ask (every time a document is submitted, the port monitor prompts the user for their password), and Remember Password (the print driver user interface stores the password, and provides the password to the port monitor). 
     Additionally, and when transmitting information to be extracted as described below in print scraping, print driver user interface  416  limits properties of the printer, so the user cannot alter the layout of the document. For example, driver  412  does not allow the user to alter the paper size. The paper size is fixed to huge paper (E or larger) to reduce the possibility of wrapping. Driver  422  does not allow the user to select multiple copies for printing, nor does driver  412  allow a user to select duplex printing. Driver  412  also supports small, fixed width fonts, through substitution, and discards graphics. 
     A port monitor  422  communicates with monitor  420 , and during the StartDoc entry point in Windows print services, port monitor  422  requests a username and password, based on the custom properties associated with the virtual printer. The printed information is then routed to a temporary file. Once all the information is written to that file, a transport client, e.g., an HTTPS Client  424 , is invoked as a detached process, with the appropriate parameters to transmit the data over the Internet. Of course, other protocols such as SMTP, HTTP, and FTP can be used for such transmission. The information needed to submit the data electronically is provided from the custom properties defined by printer driver user interface and includes the name of the temporary file created by port monitor. After the HTTPS Client terminates, the temporary file is removed regardless of successful transmission. 
     HTTPS client  424  leverages the WinInet library (of course, operating systems other than Windows could be used) to perform the secure HTTP negotiation. HTTPS client  424 , in an exemplary embodiment, is a stand-alone console application, which port monitor  422  invokes as a detached process. HTTPS client  424  could, alternatively, be integrated with port monitor  422 . Optionally, users could leverage stand-alone HTTPS client  424  to submit reports in a batch mode, from a scripting environment. 
     Upon startup, HTTPS client  424  checks whether the user needs to establish a connection with their ISP. If no connection exists, the user will be prompted to connect. After establishing that there is Internet connectivity, client application  402  compresses the temporary file and submits the compressed file to the designated URL using the supplied user name and password information for authentication. Other known authentication techniques, e.g., public key—private key based technology, one-time use tokens such as SecureID cards, or a X.509 certificate, could be used. Due to the nature of the HTTP POST protocol, the entire document must be assembled before beginning transmission, which prevents the streaming of data as the document is being prepared. HTTPS client  424  provides progress indication to spooler  414 . Alternatively, a pop-up progress bar can be provided to indicate transmission progress from within the HTTPS client application. 
     Print Scraping 
     Automatically exchanging information with another party via electronic documents is difficult. Typically both parties agree on using a common set of file exchange formats, which requires both parties to implement the necessary software logic to work with the mutually agreed upon exchange formats. However, when one of the participants involves a legacy computer application, it may not be practical to actually modify the application. Information therefore is exchanged using unstructured documents available through existing mechanisms, e.g., standard reporting interfaces and messaging mechanisms. To facilitate such unstructured information exchanges, software packages are commercially available that allow users to interactively work with unstructured electronic documents, define scripts to extract structured information from these documents, and facilitate importing the extracted information into a software system. However, these processes tend to be manual and require human knowledge and intervention to handle the arbitrary arrival of unstructured document types. 
     Set forth below is a description of a system and process that automate receiving of unstructured information contained in electronic documents, detecting the document type, determining the corresponding document format, extracting structured information from the source document, and populating an information store with the extracted information for analysis purposes. Generally, the electronic documents are pre-characterized and mapping/translation details are developed as scripts on a per document type basis. These mapping/translation scripts are then automatically selected and used to automatically drive the subsequent information extraction processes. 
     Although print scraping is described herein in the context of financial lending, and specifically in the context of systems  10  and  50 , print scraping can be utilized in many other contexts. Print scraping can be used in connection with extracting information from a legacy report format. More specifically, print scraping is performed using processes that extract meaningful data from flat files from various systems in order to update a database. Since legacy systems vary in format and structure reports differently, print scraping is used to parse out the required data for the database. As part of the process, the data is validated for errors and, in the context of financial lending, for example, the necessary business logic is applied for determining the credit availability for a client. 
     Referring to FIG. 19, print scraping is performed by application server  14 , process management and workflow manager  102 , and an engine, sometimes referred to as a mapping and translation engine  500 , such as the commercially available tools from Data Junction, which contain a suite of applications for defining grammars to parse files of non-uniform structure in order to perform print-scraping. The text extraction, in the exemplary embodiment, is performed by a commercially available system such as the known Cambio system. Once a script has been defined, the file can be parsed and pertinent data can be extracted, manipulated, mapped and transformed into a variety of output formats including direct inputs over ODBC into relational databases (e.g., an Oracle database) or output into a structured text file, such as an XML file. 
     The scripts can be exported from the development/testing environment and run in batch mode, or through scheduled processes on a workstation/server (e.g., a Solaris Unix or Hewlett-Packard servers) to process large numbers of similar files in the mapping and translation engine. These capabilities allow for easy integration into a workflow or pipeline style architecture. For each client, scripts are generated to parse the file formats for the pertinent data. These scripts are registered in repository  100 , with a set of regular expressions, used for file recognition during the process. 
     Generally, the client integration system is a 3-tier pipeline within system  10 . The pipeline is initiated by a user/customer who connects to application server  14  via the Internet or a print driver service. Upon uploading a file or group of files, the pipeline process begins first by trying to recognize what type of file the customer has uploaded against a repository of known file types for that user. If successful, recognition occurs and the process proceeds to the next stage, which is the parsing of data using a print scraping tool. In this stage, jobs are scheduled for processing in a priority queue/resource management system. Once processed, any errors that occur are submitted to workflow engine  20  and if no errors occur, the outputted extracted data from the print-scraping is read and mapped into a relational database, under control of the process management and workflow system. 
     More specifically, and referring again to FIG. 19, once operations start  502 , preprocessing  504  is performed to initiate file recognition. In this process, files that were uploaded by the user are scanned to determine whether preprocessing is needed. Preprocessing includes the extraction of electronic files from an archived formatted file such as ZIP or GZIP as well as conversions from standard character sets (e.g. EBCDIC to ASCII). Preprocessing also allows for extension in terms of the types of files that may need to be preprocessed. Preprocessing is flexible in that any processing techniques that may be needed can be utilized. 
     After the file has been preprocessed as described, and if there are preprocessing errors  506 , a preprocessing error  508  message is generated, the execution flow through the processing pipeline is halted, and control is returned with the error condition to process management and workflow manager  102 . If there are no errors, and if the file needs to be segmented  510 , a segmenting process  512  is initiated. If no segmentation is needed, the file is submitted with the data retrieved about known filetypes from data repository  100  to a file recognition process  514 . 
     Segmentation is performed by attempting to identify the rows and columns in a document based on the layout of information within that document. This problem is known as the shifting columns problem and is largely caused by users changing the format of the document by increasing or decreasing the size of the columns from within the legacy systems. If the user changes the size and/or the spacing of the columns in the submitted file, it renders the submitted file unrecognizable by the extraction and mapping/translation processes, which rely on positional information of the data in order to extract the pertinent data from the files. Therefore, if necessary, a column recognition process is used on the file using segmentation and other graphical analysis algorithms to identify “edges” which define the boundaries of tables and columns within the tables. The segmentation process produces a delimited file, which does not depend on positional information. The outputted file from this process corrects the positional problems caused by the shifted columns and allows for the extraction and mapping/translation processes to work properly. Once segmentation is complete, or if no segmentation is necessary, the resultant file is submitted along with the known data types retrieved from the data repository to a file recognition process  514 . 
     For file recognition  514 , a list of known file types is retrieved from data repository  100  for the specific user who submitted the document. This list along with the preprocessed file is submitted to a screening algorithm which scans the file against a list of regular expressions contained within the list of known file types. The scanning algorithm searches for a match between the content of the preprocessed file and one of the stored regular expressions. If a file has gone through the entire set of regular expressions for the given user and no match is made  516 , control is returned to process management and workflow manager  102  with an error message  518 . If a file has gone through the set of known regular expressions and the file matches more than one regular expression in the set, an error  518  is sent and control is returned to process management and workflow manager  102  indicating that the file could not be recognized. In this case, the filetype is ambiguous since it has matched more than one regular expression and therefore, a decision about which extraction and mapping/translation scripts to select can not be made. If a file is successfully matched with a corresponding regular expression, then the file, the data extraction script, and a translation script are passed on to a text extraction process  520 . 
     When a given file reaches text extraction, it has been identified by file/report type as a specific type and the correct extraction script that can handle this file has been selected. The extraction script is used to extract relevant data from the flat file into a format from which mapping and translation  524  can occur. 
     Data extracted during text extraction  520  is then mapped and translated  524  into an intermediate format. This process uses a script that dictates how to map the extracted data to the intermediate file format. If successful  526 , the parsed data are then passed to process management and workflow manager  102  for further processing  528 . If errors occur during the mapping and translation of the extracted data, then a message  530  is sent and control is returned to process management and workflow manager  102 . 
     Referring now to FIG. 20, and for error processing  540 , errors output at steps  508 ,  518 , and  530  result in updating an error log in data repository  542 , moving the file with the error to a holding queue  544  in the workflow and process management system, and sending notifications, e.g., via e-mail alerts  546  to those specified to receive the alerts. In addition, manager  102  is notified  548  of the error. 
     Priority queuing may be necessary due to the manner in which the workflow and process management software is licensed, e.g., may not always have sufficient engine capacity to process all jobs. With respect to priority queuing when the system is not in a steady state, N low priority jobs may take up all the system resources. Depending on the size of the job and possible computational complexity of these jobs, the queue may become overloaded with smaller jobs that will not be executed within the specified time limit. If the arrival rate of the smaller jobs is greater than the speed at which the processing engine can complete a job, then the average response time for a task to complete will increase. Therefore, it is possible that the response time will exceed the allowable processing time. Preemptive processing and/or a specified scheduling of the engines can be used to avoid this problem. Specifically, in preemptive processing, if no free engines are available for a high priority job, a low priority job is suspended and rescheduled to free an engine for the use by the high priority job. If a low priority job is always preempted by a high priority job, it may never finish. 
     To avoid starvation of low priority jobs, the following logic can be applied through the scheduling of the engines. If the system setup is such that one engine can be used for low priority or high priority jobs with the remaining engines being reserved for high priority jobs, then preemptive processing can occur in the following manner. If a process has a low priority and the queue is empty but the low priority engine is blocked, i.e., in use, then it can try to start running on a high priority engine. If at some point all engines are blocked and the low priority job is still blocking the high priority engine, it can be preempted and forced to wait for the low priority job engine to be freed if processes of higher priority enter the system. If in the queue there exist a low priority job and a high priority job, but the low priority engine becomes free, the low priority job is given the engine. This is done to avoid starvation of the low priority jobs and to ensure that the low priority jobs will complete. A low priority job is not preempted from using the low priority engine. 
     Processing 
     Exemplary processes that can be performed using systems  10  and  50 , including electronic report submission, the virtual printer and print scraping, are described below. The processes can be performed using such exemplary systems, or alternatively, with other systems capable of performing the identified activities. Such processing therefore is not limited to being performed by systems  10  and  50 . 
     Referring now specifically to the drawings, FIGS. 21A-21C show an activity diagram for monitoring accounts receivable, accounts payable, inventory, trading partners, chart of accounts, invoices, and payments. Activities are located in respective columns based on the system that performs the activity, and the columns correspond to a client user system  560 , a legacy accounting system  562 , a report submission system  564 , a web server  566 , a process management and workflow system  568 , a document management system  570 , an automated document loading system  572 , an online data repository system  574 , a back office system  576 , and a quality control system  578 . Upon initiation of operations  580 , user  560  reviews and approves the financial information  582 . Accounting system  562  then generates a financial report  584 , and a connection with web server  566  is established  586 . An authentication routine  588  authenticates the user/client  590 . Once authenticated  592 , the financial report is transmitted  594  and web server  566  receives the report  596 . Activities  586 ,  588 ,  592 , and  594  correspond to the client report submission process described above. Process management and workflow system  568  then starts financial report processing  598  and records receipt of the report  600 . The report is archived  602  in document management system  570 . Financial information is then extracted  604 , and a print scrape report  606  is generated, e.g., in accordance with the print scraping process described hereinbefore. If there are processing errors  608 , then quality control system  578  reviews and corrects extraction problems  610 , and another print scrape report  606  is generated. If there are no extraction errors, then extraction is complete  612 . The financial information is then loaded into the data repository  614 , and once loaded  616 , and if there are data loading errors  618 , then quality control system  578  reviews and corrects any errors  620  and the financial information is again loaded  616 . If there are no errors, then process management and workflow system  568  loads collateral information  622 , e.g., A/R, A/P, and inventory information. The client information is updated  624 , and the updated financial information is merged with account details  626 . In addition, the back office systems are updated  628 , and client availability information  630  also is updated. Processing is then complete  632 . 
     FIGS. 22A-22C show an activity diagram for a facsimile-based client report submission. Activities are located in respective columns based on the system that performs the activity, and the columns correspond to a client user  640 , an outbound fax machine system  642 , an inbound fax server  644 , a process management and workflow system  646 , a document management system  648 , a collateral analyst  650 , and a data repository system  652 . Upon starting operations  654 , user  640  determines whether it has the required paper collateral  656 . The collateral is then sent via fax  658 , and is received  660  by inbound fax server  644 . Upon receipt  662 , the fax documents are compressed  664 , and the compressed documents and the sender&#39;s station identifier are sent  666  to system  646 . Upon receipt of this information  668 , system  646  then records the document based on the sender identifier  670 , e.g., caller identification of phone or station identifier for fax machine, and the collateral document is archived  672 . The document is then placed in a queue for review  674 . Once the document review process is initiated  676 , then collateral analyst  650  is prompted to review the document  678 . The document is then pulled for review  680 , and the document is matched with the client financial information  682  and a link is established between the document and the corresponding financial information  684 . The collateral document also is archived with the matched financial information  686 . The processing is then complete  688 . An example of the matching process is matching a bill of lading with an invoice. 
     With respect to matching document with financial information  682 , the facsimile based collateral is used to verify that A/R or inventory information listed on a client&#39;s books is actually correct. The information provided in an invoice and bill of lading provide sufficient information for a collateral analyst to contact a client and ensure that these entries are indeed correct. In order to support this process, the document images are classified and matched to the corresponding general ledger information. The matching process could be automated through form recognition and OCR mechanisms. However, the document images are typically facsimiles of copies of the original documents and thus may be too poor in image quality for automated processing. 
     With respect to linking documents to financial information  684 , once a document image has been reviewed, classified, and matched to specific A/R or inventory entries, the document image is linked to the information in the data repository for later retrieval in a fraud detection process (e.g., on-site audit or verification phone call to borrowing client&#39;s customer or supplier). 
     FIGS. 23A-23B show an activity diagram for processing cash advance requests. Activities are located in respective columns based on the system that performs the activity, and the columns correspond to a client user web browser  700 , a web server  702 , a process management and workflow system  704 , a document management system  706 , an online data repository  708 , and back office system  710 . Upon starting operations  712 , the client determines a need to borrow money  714 . The client then connects to the web server  716 , and authenticates to the server  718 . Web server  702  then authenticates the client  720 . Once authenticated  722 , the user initiates a request for a cash advance  724 . The request is forwarded  726  by server  702 , and a cash advance request is created  728  by system  704 . The cash advance request is recorded  730  and archived  732  by document management system  706 . The current collateral information of the client is then evaluated  734 , including a review of the status of current collateral  736 . If the collateral is not up-to-date  738 , then updated collateral information is provided  740  using the electronic report submission process (described above) and another evaluation is executed  734 . If the collateral is up-to-date, then the current credit status of the client is evaluated  742  by analyzing current credit information  744 . 
     In analyzing current credit information  744 , a borrowing client&#39;s credit information is reviewed including whether money is actually available in the credit line, and whether the borrowing client&#39;s business is performing according to expectations. In addition, dilution is identified, e.g., number of credit memos and the discounting of invoices in the A/R. The advance rate also is reviewed. The advance rate refers to the percentage of total available collateral value, and the advance rate is used to determine the total credit line for the borrowing client. In general, the more risk associated with a loan, the lower the advance rate. With enhanced monitoring and reporting of the borrowing client, the advance rate can be increased. In addition, fraud possibilities are reviewed. For example, an increase in sales coupled with an increase in A/R turns may indicate that the borrowing client is not keeping accurate records. 
     After performing such analysis, a decision  746  is then made to initiate a manual review and approval process  748 , or to automatically approve or deny the request  750  in which case the decision is archived  752  and a denial notice is sent to the client  754 , or to approve the request  756  in which case the decision is archived  752  and an approval notice is sent to the client  758 . If approved, a wire transfer is initiated  760 , and a fund transfer is made  762 . Once the wire transfer is complete  764 , the wire transfer details are archived  766  and the client is notified that the wire transfer is complete  768 . Operations are then complete  770 . 
     FIG. 24 is an activity diagram for updating financial information. Activities identified in FIG. 24 are performed by a process management and workflow manager  790 . Specifically, upon starting a financial information update  792 , the accounts receivable position is updated  794 , the inventory position is updated  796 , and the accounts payable position is updated  798 . Generally, whenever the financial information is updated by receiving new financial information, the A/R, A/P, or inventory information should be updated as well. These processes typically involve reconciling the new information with the current position, identifying and classifying ineligibles, comparing the financial position with loan covenants, and analyzing the information with historical trends for the borrowing customer and against similar industries. Further, composite models that describe the correlation of A/R, A/P, and inventory positions may be used to help identify fraud and possible performance problems for the borrowing customer. 
     FIG. 25 is an activity diagram for determining accounts receivable performance. Activities are located in respective columns based on the system that performs the activity, and the columns correspond to a process management and workflow manager  800 , an online data repository  802 , and an account manager system  804 . Upon starting an update of an accounts receivable position  806 , repository  802  reconciles the accounts receivable (AR) position  808 , determine AR ineligibles  810 , and calculates AR parameters  812 . Reconciling A/R position typically involves reviewing the client&#39;s A/R information, and matching invoices with payments and credit memos. Determining A/R ineligibles involves analyzing invoices in the A/R and applying a set of criteria that declares that certain invoices cannot be used to determine the current credit line (borrowing base). The criteria for deeming an invoice ineligible include contras (invoices to companies that the borrowing client also owes money), concentration (typically a limit is set on the maximum percent of business that a borrowing client may have with a customer and have it count towards the borrowing base), aging (invoices that have not been paid after a specified number of days since issued) and cross aging (if more than a specified percent of the total A/R for a specific customer is past due, then the entire A/R for that customer is declared ineligible). 
     The AR parameters (e.g., turn times, fixed charge coverage) are then compared to loan covenants  814 . If an AR covenant violation is found  816 , then the AR covenant status is reviewed and evaluated  818  by account manager  804 . If no AR covenant evaluation is found  816 , then the AR covenant evaluation is complete  820 . In addition, and after comparing AR parameters to loan covenants  814 , the AR parameters are compared to performance standards  822 . Historical and industry-specific information can be used to detect aberrations in the borrowing customer&#39;s performance and may be used to help identify trouble early. An example of a comparison method is a statistical process chart. If AR performance issues are found  824 , then the AR performance status is reviewed and evaluated  826  by the account manager  804 . If AR performance issues are not found, then the AR performance evaluation is complete  828 . 
     FIG. 26 is an activity diagram for determining accounts payable performance. Activities are located in respective columns based on the system that performs the activity, and the columns correspond to a process manager and workflow system  840 , an online data repository  842 , and an account manager system  844 . Upon starting an update of an accounts payable position  846 , the accounts payable (AP) position is reconciled  848  (e.g., matching payments with invoices and credit memos) and AP parameters are calculated  850  by system  842 . The AP parameters are then compared to loan covenants (e.g., turn times, fixed charge, coverage)  854 , and if there is an AP covenant violation  854 , then the AP covenant status is reviewed and evaluated  856 . If there is no AP covenant violation, then the AP covenant evaluation is completed  858 . Also, and after comparing AP parameters to loan covenants  852 , the AP parameters are compared to performance standards  860 . Historical and industry-specific information can be used to detect aberrations in the borrowing customer&#39;s performance and may be used to help identify issues. An example of a comparison method includes statistical process charts. If AP performance issues are identified  862 , then the AP performance status is reviewed and evaluated  864 . If there are no AP performance issues, then the AP performance evaluation is complete  866 . 
     FIG. 27 is an activity diagram for determining inventory performance. Activities are located in respective columns based on the system that performs the activity, and the columns correspond to a process manager and workflow system  880 , an online data repository  882 , and an account manager system  884 . Upon starting an update of an inventory position  886 , the inventory position is reconciled  888  and inventory ineligibles are identified  890 . The determination of ineligibles involves analyzing the inventory information and applying a set of criteria that declares certain inventory items ineligible for the current credit line (borrowing base) or as being handled using a specific valuation formula (typically a fixed percentage). The criteria for deeming inventory items ineligible include obsolete inventory(for example, any item in stock for more than one year), breakage and scrap, sold to foreign entities, and inventory type (raw materials, work in progress, and finished goods in inventory might be valued differently). 
     Inventory parameters are then calculated  892  and the inventory parameters are compared to loan covenants  894 . If an inventory covenant violation is found  896 , then the inventory covenant status is reviewed and evaluated  898 . If no violations are found, then the inventory covenant review is complete  900 . Also, and after comparing inventory parameters to loan covenants  894 , the inventory parameters are compared to performance standards  902 . Historical and industry-specific information can be used to detect aberrations in the borrowing customer&#39;s performance and may be used to identify issues early. A statistical process chart could be used in performing such comparison. If inventory performance issues are identified  904 , then the inventory performance status is reviewed and evaluated  906 . If no inventory performance issues are identified  904 , then the inventory performance evaluation is complete  908 . 
     Risk Management 
     Risk management is accomplished using process management and workflow manager  102 , electronic document management and control system  104 , interactive analysis and reporting tools  122 , and automated credit analysis and scoring methods. Process management and workflow manager  102  provide the basis for automating, enforcing, and tracking the defined business processes and rules (e.g., review and approval processes). When the borrowing customer and internal communications are handled electronically, document management system  104  stores and retrieves the information, as well as provides the basis for long-term archival storage of these documents, which also is useful in supporting audits and fulfilling legal obligations. 
     Interactive analysis and reporting tools  122  summarize the financial environmental and provide interactive “drill-down” on summary information to supporting detail information (via hypertext links, for example) for both specific borrowing customers and portfolios of borrowing customers. Tools  122  also are useful (or provide value added information services (e.g., competitive benchmarking) for the borrowing customers. Reporting tools  122  operate in mix of both batch and real-time execution modes and can be readily customized to generate new canned business reports as well as support extracts for off-line data analysis. 
     Reporting tools  122  also generate the reporting information in a variety of formats (HTML, PDF, Excel) and are used for both printing and interactive on-line use. Batch reports are automatically routed to appropriate individuals and roles based on business process and rules defined and executed by the process management and workflow manager  102 . 
     A variety of tools and methods also are used to facilitate automation and scoring of a borrowing customers financial information. These tools are useful for assessing the financial performance, detecting fraud, and supporting automated decision making activities in the various business processes. Furthermore, these tools are applicable to other risk management activities associated with both specific borrowing customers as well as portfolios of borrowing customers. Examples of such tools include determining ineligibles, performance standards, and covenant parameters, as described above. 
     While the invention has been described in terms of various specific embodiments, those skilled in the art will recognize that the invention can be practiced with modification within the spirit and scope of the claims.