Patent Publication Number: US-2012047088-A1

Title: Modeling and simulation of complex relationships

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     None. 
     FIELD OF THE INVENTION 
     The present subject matter relates to modeling and simulation of complex relationships among entities. More particularly, a model is provided that graphically illustrate relationships among multiple hierarchical levels of entities, and can graphically illustrate information such as types of entities and areas operated by the entities. Further, the model can be based upon a relational database, and proposed or expected changes to the model can be simulated by changing the information in the relational database. 
     BACKGROUND OF THE INVENTION 
     In recent years, there has been an explosive proliferation of available relationship information for modeling an operation of an entity. For example, an entity such as a farm can have associated relationship information such as: decision makers (such as officers of the farm), owners of the farm, acres operated by the farm, acres operated by owners of the farm (which can include areas of other farms), crops grown on the farm, family relationships with respect to the officers of the farm and/or the owners of the farm, various direct non-family relationships, and indirect non-family relationships. The modeling can be focused on one or more key (target) entities such a key farm or a key decision maker. Proposed or expected changes to the model can be simulated by changing the information in the relational database. 
     Desired is a method for modeling and simulation of this vast amount of information regarding relationships. 
     SUMMARY OF THE INVENTION 
     The teachings herein improve over conventional techniques by clearly and graphically modeling and simulating the complex relationship information of an operation of an entity. 
     OPERATION MODEL AND INFLUENCE MODEL In one embodiment, an operation model can graphically illustrate relationships among multiple levels of entities, and the entities can graphically illustrate information such as types of the entities and areas operated by the entities. The levels can include: decision maker, business entity, owner of the business entity, area operated by the business entity, and crop distribution of the area operated (see  FIG. 1 ). For example, this model can include at least four levels, and a method for creating this model can comprise: generating a decision maker level including a decision maker; generating a business entity level including a business entity, wherein the business entity is linked to the decision maker; generating an entity owner level including an owner of a portion of the business entity; generating an operation level including a type of operation, wherein the type of operation is linked to the owner or linked to the business entity; generating and storing the model including the above levels; and performing at least one of the above generating steps with a computer. The order of the above steps may be varied, depending upon the focus of the modeler. 
     The operation level can indicate acres operated by the business entity, and an additional step can generate a crop distribution level including a crop distribution, wherein the crop distribution is linked to the type of operation. The crop distribution level can utilize a pie chart to indicate acreage allocated to each type of crop. The decision maker level can be generated before the business entity level is generated. The business entity level can be generated before the decision maker level is generated. The entity ownership level can graphically indicate a family relationship between the owner and the decision maker. The graphically indicated family relationship can be intestate succession. The decision maker can be linked to the business entity by being an officer of the business entity, or by being a member of the board of directors of the business entity. The influence relationship level can include an entity with a family relationship or a direct nonfamily relationship. The model can graphically indicate that an entity in the influence relationship level has a family relationship with the decision maker. The model can graphically indicate that an entity in the influence relationship level has a direct non-family relationship with the decision maker. The model can also include an indirect influence relationship level. 
     RETAIL RELATIONSHIP MODEL In a second embodiment, a retail relationship model can be generated by the following steps: generating a business entity level including a business entity; generating an influence relationship level including an influence entity, wherein the influence entity has an influence relationship with the business entity; generating a sales relationship level having a retailer, wherein the retailer is linked to the influence entity; generating a wholesaler level having a wholesaler, wherein the wholesaler is linked to the retailer; generating and storing the model including the above levels; and performing at least one of the above generating steps with a computer. See  FIG. 3 . The order of the steps may be varied, depending upon the focus of the modeler. For example, a business entity may be initially, selected, and the remainder of the model may be generated based upon the selected business entity. Alternatively, a wholesaler may be initially, selected. 
     The influence relationship can be a family relationship. The influence relationship can be ownership of a portion of the business entity. The influence relationship can be a direct non-family and non-ownership relationship with the business entity. The model graphically indicates a type of product that a retailer sells. 
     FINANCIAL RELATIONSHIP MODEL In a third embodiment, a financial relationship model can be generated by the following steps: generating a decision maker level including a decision maker; generating a business entity level including a business entity, wherein the business entity is linked to the decision maker; generating an entity owner level including an owner of a portion of the business entity; generating a financial organization level including a financial organization; generating and storing the model including the above levels; and performing at least one of the above generating steps with a computer. The order of the above steps may be varied, depending upon the focus of the modeler. 
     The financial organization can have a contractual relationship with the business entity. The contractual relationship can include at least one of the following: commodity loan, farm equipment loan, operation loan, and landlord lien. 
     FAMILY RELATIONSHIP MODEL In a fourth embodiment, a family relationship model can be generated by the following steps: generating a business entity level including a business entity; generating an entity owner level including an owner of a portion of the business entity; generating a family relationship level including a family relationship; generating and storing the model including the above levels; and performing at least one of the above generating steps with a computer. The order of the above steps may be varied, depending upon the focus of the modeler. 
     The family relationship can be a family relationship with the owner. The family relationship can be intestate succession. The priority a priority intestate succession can be indicated with a graphical indication. The graphical indication can utilize a thickness of a linking line to indicate a priority of the intestate succession family relationship. The family relationship level can include an icon with an area indicating a value of an operation metric associated with the business entity. 
     In the above embodiments, the model is generated by a series of steps, and at least one of the generation steps is performed with a computer. After generation, the model is stored in a computer storage memory. Further, the model can be used to perform real world analysis and decisions, such as targeting a selected decision maker for sale of a specific agricultural product. A pamphlet or written analysis can incorporate portions of the model and can be used as a sales tool. 
     Additional advantages and novel features will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or can be learned by production or operation of the examples. The advantages of the present teachings can be realized and attained by practice or use of the methodologies, instrumentalities and combinations particularly pointed out in the appended claims. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The drawing figures depict one or more implementations in accord with the present teachings, by way of example only, not by way of limitation. In the figures, like reference numerals refer to the same or similar elements. 
         FIG. 1  is an exemplary operation model including the following levels: decision maker, business entity, entity ownership, acres operated, and crop distribution. 
         FIG. 2  is an exemplary influence model including the following levels: influence relationship (family, and non-family direct), and indirect influence relationship. 
         FIG. 3  is a legend for  FIGS. 1 ,  2 , and  4 - 6  illustrating the following coding: black shading for a target producer (for acreage operated by the target producer), diagonal lines for family relationships, and dots for direct non-family relationships. Colors can be used for coding. 
         FIG. 4  is an exemplary retail relationship model including the following levels: business entity, influence relationship (family, and non-family direct), retail sales relationship, and wholesale relationship. 
         FIG. 5  is an exemplary financial relationship model including the following levels: decision maker, business entity, entity ownership, and financial organization. 
         FIG. 6  is an exemplary family relationship model including the following levels: business entity, entity ownership, and family relationship. 
         FIG. 7  is a cover page of a first exemplary written analysis based on generated models. 
         FIG. 8  is page  2  of the first exemplary written analysis based on generated models. 
         FIG. 9  is page  3  of the first exemplary written analysis based on generated models. 
         FIG. 10  is page  4  of the first exemplary written analysis based on generated models. 
         FIG. 11  is page  5  of the first exemplary written analysis based on generated models. 
         FIG. 12  is page  6  of the first exemplary written analysis based on generated models. 
         FIG. 13  is page  7  of the first exemplary written analysis based on generated models. 
         FIG. 14  is page  8  of the first exemplary written analysis based on generated models. 
         FIG. 15  is page  9  of the first exemplary written analysis based on generated models. 
         FIG. 16  is page  10  of the first exemplary written analysis based on generated models. 
         FIG. 17  is page  11  of the first exemplary written analysis based on generated models. 
         FIG. 18  is page  12  of the first exemplary written analysis based on generated models. 
         FIG. 19  is page  13  of the first exemplary written analysis based on generated models. 
         FIG. 20  is page  14  of the first exemplary written analysis based on generated models. 
         FIG. 21  is page  15  of the first exemplary written analysis based on generated models. 
         FIG. 22  is page  16  of the first exemplary written analysis based on generated models. 
         FIG. 23  is page  17  of the first exemplary written analysis based on generated models. 
         FIG. 24  is page  18  of the first exemplary written analysis based on generated models. 
         FIG. 25  is page  19  of the first exemplary written analysis based on generated models. 
         FIG. 26  is page  20  of the first exemplary written analysis based on generated models. 
         FIG. 27  is page  21  of the first exemplary written analysis based on generated models. 
         FIG. 28  is page  22  of the first exemplary written analysis based on generated models. 
         FIG. 29  is page  23  of the first exemplary written analysis based on generated models. 
         FIG. 30  is page  24  of the first exemplary written analysis based on generated models. 
         FIG. 31  is page  25  of the first exemplary written analysis based on generated models. 
         FIG. 32  is page  26  of the first exemplary written analysis based on generated models. 
         FIG. 33  is page  27  of the first exemplary written analysis based on generated models. 
         FIG. 34  is page  28  of the first exemplary written analysis based on generated models. 
         FIG. 35  is page  29  of the first exemplary written analysis based on generated models. 
         FIG. 36  is page  30  of the first exemplary written analysis based on generated models. 
         FIG. 37  is page  31  of the first exemplary written analysis based on generated models. 
         FIG. 38  is a cover page of a second exemplary written analysis based on generated models. 
         FIG. 39  is page  1  of the second exemplary written analysis based on generated models. 
         FIG. 40  is page  2  of the second exemplary written analysis based on generated models. 
         FIG. 41  is page  3  of the second exemplary written analysis based on generated models. 
         FIG. 42  is page  4  of the second exemplary written analysis based on generated models. 
         FIG. 43  is page  5  of the second exemplary written analysis based on generated models. 
         FIG. 44  is page  6  of the second exemplary written analysis based on generated models. 
         FIG. 45  is page  7  of the second exemplary written analysis based on generated models. 
         FIG. 46  is page  8  of the second exemplary written analysis based on generated models. 
         FIG. 47  is page  9  of the second exemplary written analysis based on generated models. 
         FIG. 48  is page  10  of the second exemplary written analysis based on generated models. 
         FIG. 49  is page  11  of the second exemplary written analysis based on generated models. 
         FIG. 50  is page  12  of the second exemplary written analysis based on generated models. 
         FIG. 51  is page  13  of the second exemplary written analysis based on generated models. 
         FIG. 52  is page  14  of the second exemplary written analysis based on generated models. 
         FIG. 53  is page  15  of the second exemplary written analysis based on generated models. 
         FIG. 54  is page  16  of the second exemplary written analysis based on generated models. 
         FIG. 55  is page  17  of the second exemplary written analysis based on generated models. 
         FIG. 56  is page  18  of the second exemplary written analysis based on generated models. 
         FIG. 57  is page  19  of the second exemplary written analysis based on generated models. 
         FIG. 58  is page  20  of the second exemplary written analysis based on generated models. 
         FIG. 59  is page  21  of the second exemplary written analysis based on generated models. 
         FIG. 60  is page  22  of the second exemplary written analysis based on generated models. 
         FIG. 61  is page  23  of the second exemplary written analysis based on generated models. 
     
    
    
     DETAILED DESCRIPTION OF THE DRAWINGS 
     In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. However, it should be apparent to those skilled in the art that the present teachings can be practiced without such details. In other instances, well known methods, procedures, components, and circuitry have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present teachings. 
       FIG. 1  is an exemplary operation model  100  including the following levels: decision maker level  110 , business entity level  120 , entity ownership level  130 , acres operated level  140 , and crop distribution level  150 . 
     DECISION MAKER LEVEL. The levels can be hierarchical. For example, the first level is decision maker level  110 . One or more decision makers  112  and  114  (also known as key persons, or as target individuals) can be selected for modeling, and can serve as the “top” level or main level in a hierarchical model. The decision maker can be an officer of public record for a business entity such as a corporation or a partnership or a sole proprietorship. The officer can be a president or vice-president or secretary (depending upon the state of incorporation of the business entity), or can be a member of the board of directors of the business entity. The decision maker can have a more complex formal or informal relationship, such as a court appointed administrator (for a business undergoing bankruptcy), or perhaps a dominant father of a relatively young legal owner. 
     BUSINESS ENTITY LEVEL. The second level is business entity level  120 , including one or more business entities  122  for which decisions are made by the decision maker. In one 
     ENTITY OWNERSHIP LEVEL. The third level is entity ownership level  130 , including one or more owners  132 ,  134 , and  136 . Owner  132  can be the same person as decision maker  112 . The icon for owner  136  has diagonal lines, which indicates a family relationship with at least one of the decision makers (see  FIG. 3  regarding shading with diagonal lines). For example, owner  136  can be a brother of decision maker  112 . Color can also be used to indicate types of family relationship. Connecting lines can be used to indicate the type of family relationship. Family relationships can be defined based upon the intestate (without a will) succession rules of inheritance. 
     In a first example, these family relationships can be defined based upon the relationship of the entity owner with respect to a key decision maker. For example, decision maker  112  can be a dominant father who has already given ownership to his children (perhaps including entity owner  136 ), but can maintain substantial control of business entity through being chairman of the board of directors, or by other informal means. In this case, the intestate succession rules of inheritance are used merely as a convenient or default method of evaluating/ranking the strength of a family relationship, and this type of ranking can be graphically illustrated by color, by the width of the connecting line, or by other graphical methods. 
     In a second example of intestate family relationships, the family relationships can be defined based on the dominant entity owner (the owner who owns the largest amount of the business entity). In this case, the intestate rules of the state of residence of the dominant entity owner can be used. 
     ACRES OPERATED LEVEL. The fourth level is acres operated level  140  (for a farm), or can be tons of fertilizer produced for a fertilizer plant, or whatever production metric is convenient for the business entity  122 . The number of acres operated can be illustrated by the diameter or area of an icon  142 , or by color. The fourth level can also indicate the acres controlled, even if not all of the acres are operated. 
     The fourth level can indicate acres operated by the business entities of level  120 . The fourth level can be expanded to include all acres operated by each of the entity owners of level  130 , which can include acres from other business entities. Other metrics can be appropriate for other types of business. 
     CROP DISTRIBUTION LEVEL. The fifth level is crop distribution level  150 . The fifth level can be a pie chart  152  with separate segments of the pie indicating the amount of acres dedicated to each crop. Other metrics can be appropriate for other types of business. 
     Alternatively (and importantly), the operational model can begin by targeting one or more business entities, such as business entity  122 . In this case, business entity level  120  serves as the top hierarchical level (or logical level), even if the model is displayed as shown in  FIG. 1  for convenience. In this case, decision maker level  110  and entity ownership level  130  would logically depend from (and logically be one level “down” from) business entity level  120 . 
     Another way of describing/interpreting this alternative is that the target business entity  122  is at the center of the analysis, and the decision makers  112  and  114  and the entity owners  132 ,  134 , and  136  radiate outward from the center. In other words, the hierarchical “levels” can be graphed as outwardly expanding concentric circles, with the decision makers and the entity owners at the first outer concentric circle. 
       FIG. 2  is an exemplary influence model  200  including the following levels: influence relationship (family, and non-family direct), and indirect influence relationship. These relationships in  FIG. 2  indicate acres not directly or legally controlled by business entity  120 , but somehow influenced by business entities of level  120  or by entity owners of level  130  of  FIG. 1 . 
     In  FIG. 2 , influence relationship level  250  depends from acres operated level  240 . Influence relationship level  250  comprises family relationships and direct non-family relationships. Alternatively, influence relationship level  250  can depend from decision maker level  110 , or from entity ownership level  130 , or from a combination of decision maker level  110  and entity ownership level  130 . 
     Large circle  252  indicates that a large number of acres (large amount of land) is influenced by family member  253 . Family member  253  can be a relative of a decision maker, or a relative of an owner. See  FIG. 4  for a legend regarding shading. Small circle  254  indicates that a small number of acres are directly influenced by non-family member  255 . Non-family member  255  can be in a partnership with decision maker  112 . Medium circle  256  indicates that a medium number of acres are directly influenced by non-family member  257  (a living trust). 
     Also in  FIG. 2 , indirect influence level  260  indicates indirect relationships. Medium circle  262  indicates that a medium number of acres are controlled by living trust  263  which is associated with non-family member  255 . Circle  264  indicates that a small number of acres are controlled by person  265  who is associated with living trust  257 . 
       FIG. 3  is a legend  300  for  FIGS. 1 ,  2 , and  4 - 6  illustrating the following coding: solid black shading  310  for a target producer (an entity of interest such as a farm), diagonal lines  320  for family relationships, dots  330  for direct non-family relationships, and horizontal lines  340  for indirect relationships. Alternatively or additionally, colors can be used for coding. The legend conveniently indicates the acres operated for the target producer, for each type of relationship, and the total acres influenced. 
       FIG. 4  is an exemplary retail relationship model  400  including the following levels: business entity level  410 , influence relationship level  420  (family, and non-family direct), retail sales relationship level  430 , and wholesaler relationship level  440 . 
     Business entity level  410  comprises business entity  412 . 
     Influence relationship level  420  includes: medium circle  422  with diagonal lines indicating that person  423  is a family member controlling a medium number of acres; large black circle  424 , indicating that a large number of acres are directly controlled by business entity  412  and by person  425 ; and small circle  426  with dots indicting that living trust  427  has direct influence on a small number of acres. 
     Retail sales relationships level  430  includes: a first retailer  432 , second retailer  434 , and a third retailer  436 . These retailers can be cooperatives, or other intermediary legal structures. Each of these retailers is associated with at least one of the entities of influence relationships level  420 . 
     Wholesaler level  440  includes at least a first wholesaler  442 , and this first wholesaler  442  is associated with at least one retailer of retail sales relationship level  430 . 
       FIG. 5  is an exemplary financial relationship model including the following levels: decision maker level  510  can include decision makers  512  and  514 ; business entity level  520  can include business entity  524 ; entity ownership level  530  can include owners  532 ,  534 , and  536 ; and financial organization level  540  can include financial organizations  542  and  544 . 
     The top three levels of  FIG. 5  are similar to the top three levels of  FIG. 1 . The fourth level of  FIG. 5  is financial organization level  540 , including financial organization  542  and financial organization  544 . 
     These financial organizations can be linked directly to business  524 , or can be linked directly to owners  532 ,  534 , and  536  (if the owners co-signed or guaranteed loans to business  524 ). Financial organization  542  can be a bank that provided a commodity loan, a farm equipment loan, an operating loan, and can also hold a landlord lien. 
       FIG. 6  is an exemplary family relationship model  600  including the following levels: business entity level  610  can include business entity  612 ; entity ownership level  620  can include owners  622 ,  624 , and  626 ; and family relationship level  630  can include family members  633 ,  635 , and  637 , as well as related metric icons (circles in this example)  632 ,  634 , and  636 . 
     The top two levels of  FIG. 6  are similar to the top two levels of  FIG. 1 . The third level of  FIG. 6  is family relationship level  630 . 
     Family relationship level  630  includes: large circle  632  with diagonal lines indicating that person  633  is a family member associated with a large number of acres; small circle  634  with diagonal lines indicates that person  635  is a family member associated with a small number of acres, and medium circle  636  with diagonal lines indicates that person  637  is a family member associated with a small number of acres. 
       FIGS. 7-37  are pages from a first exemplary written analysis based on generated models. These FIGS. are discussed in more detail below. 
       FIG. 7  is a cover page of the first exemplary written analysis based on generated models. The cover page includes a title and contact information. 
       FIG. 8  is page  1  of the first exemplary written analysis based on generated models, and includes a table of contents and icon definitions. 
       FIG. 9  is page  2  of the first exemplary written analysis based on generated models, and includes an operation map, producer segmentation, and purchase trends. In this context, the term “map” may be used instead of the more technical term “model,” in order to facilitate understanding by a user. 
       FIG. 10  is page  3  of the first exemplary written analysis based on generated models, and includes 
       FIG. 11  is page  4  of the first exemplary written analysis based on generated models, and includes 
       FIG. 12  is page  5  of the first exemplary written analysis based on generated models, and includes 
       FIG. 13  is page  6  of the first exemplary written analysis based on generated models, and includes 
       FIG. 14  is page  7  of the first exemplary written analysis based on generated models, and includes 
       FIG. 15  is page  8  of the first exemplary written analysis based on generated models, and includes 
       FIG. 16  is page  9  of the first exemplary written analysis based on generated models, and includes 
       FIG. 17  is page  10  of the first exemplary written analysis based on generated models, and includes 
       FIG. 18  is page  11  of the first exemplary written analysis based on generated models, and includes 
       FIG. 19  is page  12  of the first exemplary written analysis based on generated models, and includes 
       FIG. 20  is page  13  of the first exemplary written analysis based on generated models, and includes 
       FIG. 21  is page  14  of the first exemplary written analysis based on generated models, and includes 
       FIG. 22  is page  15  of the first exemplary written analysis based on generated models, and includes 
       FIG. 23  is page  16  of the first exemplary written analysis based on generated models, and includes 
       FIG. 24  is page  17  of the first exemplary written analysis based on generated models, and includes 
       FIG. 25  is page  18  of the first exemplary written analysis based on generated models, and includes 
       FIG. 26  is page  19  of the first exemplary written analysis based on generated models, and includes 
       FIG. 27  is page  20  of the first exemplary written analysis based on generated models, and includes 
       FIG. 28  is page  21  of the first exemplary written analysis based on generated models, and includes 
       FIG. 29  is page  22  of the first exemplary written analysis based on generated models, and includes 
       FIG. 30  is page  23  of the first exemplary written analysis based on generated models, and includes 
       FIG. 31  is page  24  of the first exemplary written analysis based on generated models, and includes 
       FIG. 32  is page  25  of the first exemplary written analysis based on generated models, and includes 
       FIG. 33  is page  26  of the first exemplary written analysis based on generated models, and includes 
       FIG. 34  is page  27  of the first exemplary written analysis based on generated models, and includes 
       FIG. 35  is page  28  of the first exemplary written analysis based on generated models, and includes 
       FIG. 36  is page  29  of the first exemplary written analysis based on generated models, and includes 
       FIG. 37  is page  30  of the first exemplary written analysis based on generated models, and includes 
       FIGS. 38-61  are pages from a second exemplary written analysis based on generated models. These FIGS. are discussed in more detail below. 
       FIG. 38  is a cover page of the second exemplary written analysis based on generated models. The cover page includes a title and contact information. 
       FIG. 39  is page  1  of the second exemplary written analysis based on generated models, and includes a table of contents and icon definitions. 
       FIG. 40  is page  2  of the second exemplary written analysis based on generated models, and includes an operation map. In this context, the term “map” may be used instead of the more technical term “model,” in order to facilitate understanding by a user. 
       FIG. 41  is page  3  of the second exemplary written analysis based on generated models, and includes an influence map. 
       FIG. 42  is page  4  of the second exemplary written analysis based on generated models, and includes a retail relationship map, and includes information about a farming operation and a family tree of the family involved in the farming operation. 
       FIG. 43  is page  5  of the second exemplary written analysis based on generated models, and includes a financial relationship map. 
       FIG. 44  is page  6  of the second exemplary written analysis based on generated models, and includes a farming operation map and a family tree of family members involved in the farming operation. 
       FIG. 45  is page  7  of the second exemplary written analysis based on generated models, and includes separate business maps regarding farming and non-farming businesses with which a key person or decision maker is involved. 
       FIG. 46  is page  8  of the second exemplary written analysis based on generated models, and includes target producer operation details. These details may be stored in a relational database, and then used to generate models. 
       FIG. 47  is page  9  of the second exemplary written analysis based on generated models, and includes target producer influence details. 
       FIG. 48  is page  10  of the second exemplary written analysis based on generated models, and includes additional target producer influence details. 
       FIG. 49  is page  11  of the second exemplary written analysis based on generated models, and includes additional target producer influence details. 
       FIG. 50  is page  12  of the second exemplary written analysis based on generated models, and includes retail relationship details. 
       FIG. 51  is page  13  of the second exemplary written analysis based on generated models, and includes financial relationship details. 
       FIG. 52  is page  14  of the second exemplary written analysis based on generated models, and includes details of the finance companies having a relationship. 
       FIG. 53  is page  15  of the second exemplary written analysis based on generated models, and includes additional details of the finance companies having a relationship. 
       FIG. 54  is page  16  of the second exemplary written analysis based on generated models, and includes family relationship details such as a complete family tree. 
       FIG. 55  is page  17  of the second exemplary written analysis based on generated models, and includes other business details. 
       FIG. 56  is page  18  of the second exemplary written analysis based on generated models, and includes additional other business details. 
       FIG. 57  is page  19  of the second exemplary written analysis based on generated models, and includes additional other business details. 
       FIG. 58  is page  20  of the second exemplary written analysis based on generated models. 
       FIG. 59  is page  21  of the second exemplary written analysis based on generated models, and includes individual contact information. 
       FIG. 60  is page  22  of the second exemplary written analysis based on generated models, and includes additional individual contact information. 
       FIG. 61  is page  23  of the second exemplary written analysis based on generated models, and includes additional individual contact information. 
     While the foregoing has described what are considered to be the best mode and/or other examples, it is understood that various modifications can be made therein and that the subject matter disclosed herein can be implemented in various forms and examples, and that the teachings can be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim any and all applications, modifications and variations that fall within the true scope of the present teachings.