Not applicable.
1. The Field of the Invention
The present invention relates to business modeling and, more particularly, to efficient and flexible business modeling based upon structured business capabilities.
2. The Relevant Technology
Businesses have complex operations. An understanding of these operations is important to a business in order to, for example, prepare for change, account for costs, etc. Accordingly, various mechanisms have been developed to model and represent businesses. Some mechanisms include manual generation of diagrams that represent business processes that describe how work is done. For example, trained individuals can analyze all aspects of a business to identify business capabilities and interrelationships and interdependencies between the business processes. Based on the analysis, the trained individuals can generate the representative diagrams. However, accurate analysis of a business from a business process point-of-view can take an extended period of time. Further, once representative diagrams are generated such diagrams are not easily modified.
Unfortunately, since many business processes are dynamic (i.e., can change over time), a manually generated representation of business processes may be outdated before it is even completed. Further, even if a manually generated representation of business processes were accurate at the time it was completed, any change in business processes after the business representation is generated would cause the business representation to be incorrect. Thus, manually generated representations provide limited, if any, ability for a business to determine how simulated and/or hypothetical changes to various business capabilities would affect the business.
At least in part as a result of the deficiencies in manually generated business representations, some computerized mechanisms have been developed to generate business representations. These computerized mechanisms use various techniques to represent business and the required business functions mostly focused on modeling business processes and detailed procedures that support those processes. For example, some computerized mechanisms present a graphical view of business processes at a user-interface. To some limited extent, these graphical views can be altered to simulate the effect of different business capabilities on a business.
However, most of these computerized mechanisms focus on “how” the business is executed, conflating (or combining) various different layers (or types) of input data, such as, for example, organizational structures, procedures, process flows, and supporting technology. The stability of the input data (i.e., the half life of the information represented) potentially varies dramatically between the different input layers (or types), rendering the useful life time of a generated view only as valid as the least stable input. Conflating (or combining) interrelated, yet non-dependent, input data together can also result in obscured views of how a business functions and lead to unnecessary and costly improvement efforts of the modeled business, without the ability to determine the effect of changes in each individual layer.
Further, computerized mechanisms often include hard-coded data types and hard-coded representations for business modeling input data. These hard-coded data types and representations can be difficult to alter without access to source code. Thus, the flexibility and extensibility of modeling businesses and generating corresponding views is limited. For example, it may difficult to alter pre-defined data formats such that a business capability can be represented in a different way or such that a previously undefined business capability can be added.
Accordingly, what would be advantageous are systems, methods, computer program products, and data structures for efficient and flexible business modeling based upon structured business capabilities.
The foregoing problems with the prior state of the art are overcome by the principles of the present invention, which are directed towards methods, systems, computer program products, and data structures for efficient and flexible business modeling based upon structured business capabilities. A computer system receives a plurality of business modeling attributes, such as, for example, business capability attributes, business procedure attributes, business process flow attributes, and business organizational attributes, etc., corresponding to a business. The computer system extracts business capability attributes from among the received plurality of business attributes. The computer system accessing a structured data model that defines data formats for the extracted business capability attributes. The computer system formats the extracted business capability attributes in accordance with the data formats defined in the structured data model. The computer system models a business capability of the business based upon the formatted business capability attributes.
A structured data model can include a capability modeling schema having data format definitions that define how business capability attributes are to be represented. A capability modeling schema can include data format definitions for a number of different business capability models. Within each business capability model, the capability modeling schema can include data format definitions for many different types of business capability attributes, such as, for example, business capability properties, business capability inputs and outputs, business capability processes, business capability connections, and business capability service level expectations.
In some embodiments, a computer system accesses business capability attributes that were extracted from among a received plurality of business modeling attributes corresponding to a business architecture. The computer system formats the accessed business capability attributes in accordance with data formats defined in a structured data model. The computer system models a business capability network for the business architecture (e.g., including business capabilities and corresponding connections) based on the formatted business capability attributes.
These and other features of the present invention will become more fully apparent from the following description and appended claims, or may be learned by the practice of the invention as set forth hereinafter.
To further clarify the above and other advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail through the use of the accompanying drawings in which:
The principles of the present invention provide for efficient and flexible business modeling based upon structured business capabilities. A computer system receives a plurality of business modeling attributes, such as, for example, business capability attributes, business procedure attributes, business process flow attributes, and business organizational attributes, etc., corresponding to a business. The computer system extracts business capability attributes from among the received plurality of business attributes. The computer system accessing a structured data model that defines data formats for the extracted business capability attributes. The computer system formats the extracted business capability attributes in accordance with the data formats defined in the structured data model. The computer system models a business capability of the business based upon the formatted business capability attributes.
A structured data model can include a capability modeling schema having data format definitions that define how business capability attributes are to be represented. A capability modeling schema can include data format definitions for a number of different business capability models. Within each business capability model, the capability modeling schema can include data format definitions for many different types of business capability attributes, such as, for example, business capability properties, business capability inputs and outputs, business capability processes, business capability connections, and business capability service level expectations.
In some embodiments, a computer system accessing business capability attributes that were extracted from among a received plurality of business modeling attributes corresponding to a business architecture. The computer system formats the accessed business capability attributes in accordance with data formats defined in a structured data model. The computer system models a business capability network for the business architecture (e.g., including business capabilities and corresponding connections) based on the formatted business capability attributes.
Embodiments within the scope of the present invention include computer-readable media for carrying or having computer-executable instructions or data structures stored thereon. Such computer-readable media may be any available media, which is accessible by a general-purpose or special-purpose computer system. By way of example, and not limitation, such computer-readable media can comprise physical storage media such as RAM, ROM, EPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other media which can be used to carry or store desired program code means in the form of computer-executable instructions, computer-readable instructions, or data structures and which may be accessed by a general-purpose or special-purpose computer system.
In this description and in the following claims, a “computer network” is defined as one or more data links that enable the transport of electronic data between computer systems and/or modules. When information is transferred or provided over a computer network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computer system, the connection is properly viewed as a computer-readable medium. Thus, any such connection is properly termed a computer-readable medium. Combinations of the above should also be included within the scope of computer-readable media. Computer-executable instructions comprise, for example, instructions and data which cause a general-purpose computer system or special-purpose computer system to perform a certain function or group of functions. The computer executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, or even source code.
In this description and in the following claims, a “computer system” is defined as one or more software modules, one or more hardware modules, or combinations thereof, that work together to perform operations on electronic data. For example, the definition of computer system includes the hardware components of a personal computer, as well as software modules, such as the operating system of the personal computer. The physical layout of the modules is not important. A computer system may include one or more computers coupled via a computer network. Likewise, a computer system may include a single physical device (such as a mobile phone or Personal Digital Assistant “PDA”) where internal modules (such as a memory and processor) work together to perform operations on electronic data.
In this description and in the following claims, a “business modeling attribute” is defined as any attribute that can be used to model a business or part of a business. Different business modeling attributes can correspond to modeling different aspects (or layers) of a business. Thus, business modeling attributes can generally be divided into subsets of different types of business modeling attributes, such as, for example, business organizational attributes, business procedure attributes, business process flow attributes, business capability attributes, etc. Accordingly, each subset of business modeling attributes can be used to model a corresponding business aspect (or business layer). For example, business organizational attributes can be used to model business organizational structures, business procedure attributes can be used to model business procedures, business process flow attributes can be used to model business process flows, business capability attributes can be used to model business capabilities, etc. Further, it would be apparent to one skilled in the art, after having reviewed this description, that other subsets of business modeling attributes, in additional to those expressly described, can be used to model other corresponding business aspects (or business layers).
Thus, in this description and in the following claims, “business capability attributes” are defined as a subset of business modeling attributes that correspond to modeling business capabilities. Business capability attributes are defined to include: business capability data (what kind of data is used by the capability), business capability applications, business capability communications, business capability relationships, business capability dependencies, business capability connections (e.g., to other business capabilities), and business capability boundaries. Business capability dependencies can include, for example, what needs to happen for the capability to start, what needs to happen for the business capability to finish, what other business capabilities depend in the business capability. Business capability boundaries can include, for example, indications of a business capability being influenced by entities, processes, or technology internal to a business and regulations and entities (e.g., partners or customers) external to the business.
Business capability attributes are also defined to include measurement and analysis attributes of a business capability. Measurement and analysis attributes can indicate how the success of a business capability is measured, who owns the business capability, who is the customer of the capability, notification criteria for variations in the business capability, workarounds if a business capability is not available, acceptable variations in inputs to and outputs of the business capability, the stability and/or volatility of the business capability, the importance of the capability, etc.
Business capability attributes can also correspond to Service Levels. Service Level Agreement (“SLA”) attributes can indicate an agreement the business capability is to adhere to. Service Level Expectation (“SLE”) attributes can indicate a service level expectation, such as, for example, a less formal and/or non-contractual based expectation of what a business capability is to do. A SLE can be used to indicate how the success of a corresponding business capability is measured (either subjectively or objectively), who owns the business capability, who is the customer of the capability. An SLE can also be used to indicate what has an impact of the outcome the business capability, such as, for example, people, process, technology, inputs, outputs, etc. For inputs (e.g., people, process, technology, etc), an SLE can indicate the acceptable variation on quality and volume that will the business capacity to perform its functions. For outputs, an SLE can indicate the acceptable variations in time, volume, and quality and corresponding thresholds.
An SLE can include an indication of escalation/notification criteria for variations, what is the timeframe for escalation/notification, how escalation/notification impact other timelines, schedules, or success metrics. An SLE can also include potential workarounds if the business capability becomes unavailable.
An SLE can indicate the stability/volatility of the business capability, for example, how often does the capability change, how much of the business capability is related to normal day-to-day activity, and how much of the business capability is exception based. An SLE can also indicate how critical and/or core a business capability is to the overall goals and success of a business. Embodiments of the present invention can be configured to model business capabilities based upon SLE attributes for representing these (as well as other aspects) of SLEs.
Service Level Goal (“SLG”) attributes can indicate business capability goals for specified periods of time, for example, weeks, months, quarters, etc. Service Level Potential (“SLP”) attributes can indicate a capability range (e.g., minimum/maximum units per hours) of a business capability. Service Level History (“SLH”) attributes can indicate how a business capability has performed over a specified period of time, for example, the last week, month, etc. Service Level Delta (“SLD”) attributes can indicate when a capability will change, for example, in the context of a Change Lifecycle, and can indicate a planned delta in the SLE, SLP, and SLG that will result.
In this description and the following claims, a “business architecture” is defined as the overall design of at least a portion of a business. A business architecture for a company or one or more portions of a company can include business layers that span various boundaries inside and/or outside of the company. For example, a company's business architecture can span externally physical boundaries (e.g., walls, buildings, etc.), internally physical boundaries (e.g., divisions, departments, etc.), and logical boundaries (e.g., a fiscal year end, a perceived service boundary, security etc.). Thus, an outsourced business capability can be viewed as part of the business architecture for a company even though the outsourced business capability is not performed by the company. Business architectures can be past, current (as-is), or future (to-be) architectures of an entire business or one or more portions of a business. A portion of a business can be a specific sub-network or set of sub-networks of business capabilities.
Generally, the stability (or volatility) of different types of business modeling attributes corresponding to different aspects (or layers) of a business can vary. That is, one type of business modeling attributes can be more or less stable relative to other types of business modeling attributes. For example, business procedure attributes for modeling business procedures may be more stable than business organizational attributes for modeling business organizational structure. On the other hand, business procedure attributes for modeling business procedures may be less stable than business capability attributes for modeling business capabilities.
To initially generate more stable business models, more stable business modeling attributes can be extracted from less clear, less stable business modeling attributes. Thus, more stable business models (e.g., that represent “what” a business does.) can be created. For example, it may be that business capability attributes are extracted from a set of business modeling attributes that includes business capability attributes, business organization attributes, business procedure attributes, and business process flow attributes. Thus, a business model can initially model business capabilities, business capability SLEs, business capability inputs, business capability outputs, business capability connections, and business capability groupings.
Less stable business modeling attributes (e.g., representing “how” business is done) can be initially abstracted out (or otherwise removed from) modeling a business. For example, business organization attributes, business procedure attributes, and business process flow attributes may initially be abstracted out of a business model. However, the initial model can retain placeholders for incorporating less stable business modeling attributes (e.g., elaborated outside of a business capability model) back into the model. Thus, these less stable attributes can be re-attached or re-associated with the model, for example, after a clear model of business capabilities has been generated. Accordingly, the stability of a business model can be easily varied based on the needs of a business.
Embodiments of the present invention can utilize attribute selection criteria that limit the types of business modeling attributes that are to be used to model a business or part of business. Attribute selection criteria can be used to extract specified types of (e.g., more stable) business modeling attributes that are to be used to initially model a business or to identified specified (e.g., more stable) layers from which business modeling attributes are to be taken to initially model a business. Business modeling attributes that satisfy attribute selection criteria can be selected for modeling the business.
Attribute selection criteria are configurable such that more or less stable models and more or less detailed models can be generated. Attribute selection criteria can be made more strict thus reducing the types of business modeling attributes that satisfy the attribute selection criteria. For example, attribute selection criteria can be configured such that only business capability attributes are used to model a business or part of a business. Thus, a more stable (more objective) but less detailed model can be generated.
On the other hand, attribute selection criteria can be made less strict thus increasing the types of business capability attributes that satisfy the stability threshold data. For example, attribute selection criteria can be configured such that business capability attributes, business procedure attributes, and business process flow attributes are used to model a business or part of a business. Thus, a less stable (more subjective) but more detailed model can be generated. Accordingly, attribute selection criteria can be varied based on the needs of a business to appropriately model that business.
In some embodiments, a received business modeling attributes can include a data field that stores a business modeling attribute type. To determine if a received business modeling attribute is sufficiently stable for initial inclusion in a business model, the business modeling attribute type can be compared to attribute selection criteria. When appropriate, for example, when a received business modeling attribute type satisfies the attribute selection criteria, the received business modeling attribute can be identified for use in modeling a corresponding business.
In other embodiments, a business modeling attribute type is calculated by an attribute typing algorithm. The calculated business modeling attribute type (e.g., as business capability attribute) is then compared to attribute selection criteria to determine the sufficiency of the calculated business modeling attribute type.
In yet other embodiments, a modeler (e.g., a human user) specifies business modeling attribute types before submitting a set of business modeling attributes for modeling. Thus, when appropriate, a modeler can configure business modeling attributes such that all submitted business modeling attributes are used to model a corresponding business.
The configuration of attribute selection criteria (or other mechanisms) for extracting specified business modeling attributes types or extracting business modeling attributes from specific business layers, whether made by a developer, administrator, or modeler, can be based on a objective determinations and/or subjective determinations for modeling a business. For example, since business capability attributes can be used to represent “what” a business does, it can be objectively determined that business capability attributes are more stable and are to be extracted for inclusion in initial more stable business models.
On the other hand, since business procedure attributes and business process flow attributes can used, at least to some extent, to represent “how” business is done, it may be a subjective determination on whether either or both of these types of business modeling attributes are to be extracted for inclusion in an initial business model. Similarly, it may be a subjective determination on whether either or both of these types of business modeling attributes are to be later re-attached or re-associated with an initial business model after more stable business modeling attributes are modeled.
In this description and in the following claims, a “schema” is defined as an expression of a shared vocabulary between a plurality of computer systems or modules that allows the plurality of computer systems or modules to process data according the expressed shared vocabulary. A schema can define and describe classes of data using constructs (e.g., name/value pairs) of a schema language. The schema constructs can be used to constrain and document the meaning, usage, and relationships of data types, elements and their content, attributes and their values, entities and their contents, and notations, as used in a specified application, such as, for example, a business capability model. Thus, any computer system or module that can access a schema can process data in accordance with the schema. Further, any computer system or module that can access a schema can compose or modify data for use by other computer systems and/or modules that can also access the schema.
A schema can be utilized to define virtually any data type including logical, binary, octal, decimal, hexadecimal, integer, floating-point, character, character string, user-defined data types, and combinations of these data types used to defined data structures. Some examples of user-defined data types are business capability properties, business capability inputs and outputs, business capability processes, business capability connections, and business capability service level expectations. A data type can also be defined to reference of link to other data types in a schema hierarchy.
An eXtensible Markup Language (“XML”) schema is one example of a type of schema. An XML schema can define and describe a class of XML documents using schema constructs (e.g., name/value pairs) of an XML schema language. These schema constructs can be used to constrain and document the meaning, usage, and relationships of data types, elements and their content, attributes and their values, entities and their contents, and notations, as used in XML documents. Thus, schema is also defined to include Document Type Definitions (“DTD”), such as, for example, DTD files ending with a “.dtd” extension and World Wide Web Consortium (“W3C”) XML Schemas, such as, for example, XML Schema files ending with a “.xsd” extension. However, the actually file extension for a particular DTD or XML schema is not important.
Those skilled in the art will appreciate that the invention may be practiced in computer network environments with many types of computer system configurations, including, personal computers, laptop computers, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, pagers, and the like. The invention may also be practiced in distributed system environments where local and remote computer systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a computer network, both perform tasks. In a distributed system environment, program modules may be located in both local and remote memory storage devices.
Attribute identification model 113 is configured to identify (and extract) more stable business modeling attributes, such as, for example, business capability attributes, from among business modeling attributes received at business capability modeler 111. Attribute identification model 113 can refer to attribute selection criteria 122 to identify business modeling attributes of a specified type, from a specified layer, or that otherwise meet a specified threshold of stability. Business modeling attributes 102 includes business capability attributes (e.g., from a business capability business layer), business procedures attributes (e.g., from a business procedures layer), business process flow attributes (e.g., from a business process flow layer), and business organizational attributes (e.g., from a business organizational structure layer).
A series of two periods (an ellipsis) before, between, and after the expressly depicted attributes 131, 132, 133, and 134 represents that business modeling attributes from other business layers can also be included in business modeling attributes 102. Attributes 131, 132, 133, and 134 are depicted as separate portions of data to represent some of the types of business modeling attributes that can be included in business modeling attributes 102. However, it should be understood that attributes from different business layers can be intermingled within business modeling attributes 102 (e.g., as a single binary file) and not necessary included as separate portions of data.
Attribute identification module 113 can compare business modeling attributes 102 to attribute selection criteria 122 to determine if any business modeling attributes included in business modeling attributes 102 (e.g., business modeling attributes from a particular business layer or layers) satisfy attribute selection criteria 122. For example, attribute selection criteria 122 can indicate that business capability attributes are to be identified and extracted from business modeling attributes 102. Accordingly, attribute identification model can identify and extract business capability attributes 131 from business modeling attributes 102. Extracted business modeling attributes (from any business layer) that satisfy attribute selection criteria 122 can be stored at storage 117, for example, in extracted business modeling attributes 123.
Generally, computer system 101 can access any number of different data models for generating corresponding business models. For example, computer system 101 has access at least to data models 121, which includes models 152, 162, 172 and 153. In some embodiments, a model is a parent model for one or more other models. For example, within data models 121, model 152 is a parent model of models 162 and 172.
It may be that different data models are used to generate business models based upon different types of business modeling attributes and/or upon business modeling attributes from different business layers. For example, model 152 can be used to generate business models based upon business procedure attributes and model 153 can be used to generate a business models based upon business organizational attributes. On the other hand, it may also be that different data models are used to generate business models based upon the same type of business modeling attributes or upon business modeling attributes from the same business layer. For example, both model 162 and model 172 can be used to generate business models based upon business capability attributes. Accordingly, business modeling attributes can be re-used across different models.
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In some embodiments, attribute identification module 213 receives an absolute stability value corresponding to a capability attribute. For example, business modeling attribute 233 includes IsStable=TRUE 243. IsStable=TRUE 243 (or any other type of absolute stability value) indicates to attribute identification module 213 that business modeling attribute 233 is to be extracted for modeling (independent of attribute type or corresponding business layer). Accordingly, attribute identification module 213 can extract business modeling attribute 233 into identified business modeling attributes 234 (e.g., for storage in extracted business modeling attributes 123) such that business modeling attribute 233 can be used when modeling a corresponding business. Similarly, a business modeling attribute can include an absolute stability value (e.g., FALSE) indicating that the capability attribute is not to be extracted for (e.g., initial) modeling. However, such a business modeling attribute can be included so the business modeling attribute can be subsequently re-attached to or re-associated with an business model based upon more stable business modeling attributes, such as, for example, a business capability model.
In other embodiments, attribute identification module 213 receives an attribute type identifying a specifed business modeling attribute type and/or corresponding to a specifed business layer. For example, business modeling attribute 232 includes attribute type 242. Attribute type 242 can store an attribute value representative of a corresponding type of business modeling attribute and/or of a corresponding business layer (e.g., business capability layer, business procedure layer, etc.).
In yet other embodiments, attribute identification module 213 receives no addtional information for a business modeling attribute. For example, business modeling attribute 231 does not include a an attribute type or absolute stability value. Accordingly, attribute identification module 213 can refer to attribute typing algorithm 246 to generate an attribute type value for business modeling attribute 231. Attribute identification module 213 can provide business modeling attribute 231 as input to attribute typing algorithm 246 and attribute typing algorithm 246 can return a corresponding attribute type or absolute stability value for business modeling attribute 231 to attribute identification module 213. Attribute type algorithm 246 can analyze the characteristics of business modeling attribute 231 to calculate an attribute type (e.g., business capability attribute) for business modeling attribute 231.
Attribute identification module 213 can compare a received attribute types (e.g., attribute type 242242) or a calculated attribute type (e.g., for business modeling attribute 231) to requisite attribute value 244. Requisite stability value 244 is a configurable value (or values) (e.g., for different business modeling attribute types) that can be set based on the needs of a particular capability modeling scenario. For example, requisite attribute type value 244 can be configured such that only business capability attributes satisfy attribute selection criteria 222, thus reducing the number of business modeling attributes that are to be (e.g., initially) modeled. Accordingly, a more stable (more objective) but less detailed model can be generated. On the other hand, requisite attribute type 244 can be configured such that business capability attributes, business procedure attributes, and business organizational attributes satisfy attribute selection criteria 222, thus increasing the number of business modeling attributes that are to be (e.g., initially) modeled. Accordingly, a less stable (more subjective) but more detailed model can be generated.
When appropriate, for example, when attribute type 242 or a calculated attribute type is included in requirest attribute type 244, a business modeling attribute can be stored in along with other business capability attributes (e.g., in extracted business modeling attributes 123). Received business modeling attributes that do not satisfy attribute selection criteria 222 can subsequently be re-attached to or re-associated with a model generated from received business modeling attributes that do satisfy attribute selection criteria 222.
In some embodiments, attribute identification module 213 and/or attribute identification module 113 are configured (using any of the previous described or even other mechanisms) to extract business capability attributes from received business modeling attributes. Thus, is may be that any extracted business modeling attributes are business capability attributes. For example, attribute identification module 213 can identify business capability attributes 236.
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Modeling module 116 is configured to graphically represent formatted business modeling attributes as a business model. For example, modeling module 116 can model business model 103 from formatted business capability attributes corresponding to one or more business capabilities. Modeling module 116 can present business model 103 at user-interface 112.
As previously described, data models 121 can include one or more models for formatting business modeling attributes. Different models can be utilized to model different business modeling attribute types and/or business modeling attributes from different business layers. Thus in some embodiments, data models 121 can include at least one business capability modeling schema for modeling business capability attributes, at least one business procedure modeling schema for modeling business procedure attributes, at least one business process slow modeling schema for modeling business process flow attributes, at least one business organizational structure modeling schema for modeling business organizational attribute, etc.
In some embodiments, business models and data format definitions can be generally described as indicated in Table 1.
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It should be understood that schema 300 is merely one example of a business capability modeling schema. It would be apparent to one skilled in the art, after having reviewed this description, that embodiments of the present invention can be used with a wide variety of other business capability modeling schemas, in addition to schema 300. Further, modeling business capabilities does not require that capability attributes for all the data formats in schema 300 be accessible. For example, a capability and connecter can be used to model a business capability based on capability data format 314 and connector data format 323, without accessing capability attributes correspond to other data formats. Thus, schema 300 defines data formats for business capability attributes that are accessed, but does not require that all data formats be populated to generate a business capability model.
Method 400 includes an act receiving a plurality of business modeling attributes representing different layers of a business (act 401). For example, computer system 101 can receive business modeling attributes 102. Business modeling attributes 102 can be received through user-interface 112, from an attributes file, and/or through computer network communication with another computer system. Business modeling attributes 102 can include a plurality of business modeling attributes from various business layers, such as, for example, a business capability layer, a business procedure layer, a business process flow layer, and business organization structure layer, etc. Some received business modeling attributes can include attribute type values or expressly indicated stability values, while others do not include attribute types or expressly indicated stability values.
Method 400 includes an act of extracting business capability attributes, from among the received plurality of business modeling attributes (act 402). For example, attribute identification module 113 can extract business capability attributes 131 from business modeling attributes 102. When appropriate, attribute identification module 113 can call an attribute typing algorithm (e.g., attribute typing algorithm 246) and can compare calculated and/or received attribute types to attribute selection criteria 122. Thus in some embodiments, a subset of received business modeling attributes are identified such that a more objective model of the business based upon business capabilities can be generated.
When appropriate, attribute identification module 113 can store extracted business capability attributes in extracted business modeling attributes 123.
Method 400 includes an act of accessing a structured data model that defines data formats for the extracted business capability attributes (act 403). For example, attribute formatting module 114 can access data models 121. Data models 121 can include a schema, such as, for example, schema 300, that defines data formats for business capability attributes.
Method 400 includes an act of formatting the extracted business capability attributes in accordance with the data formats defined in the structured data model (act 404). For example, attribute formatting module 114 can format business capability attributes 131 in accordance with data formats defined in schema 300. Thus, various business capability attributes can be formatted in accordance with different data types. For example, business capability attributes representing connectors can be formatted in accordance with connector data format 323. Similarly, business capability attributes representing SLEs can be can be formatted in accordance with capability SLE data format 306. Likewise, business capability attributes representing ports can be formatted in accordance with port data format 324. Further, other business capability attributes can be formatted in accordance with corresponding data formats of schema 300.
Method 400 includes an act of modeling a business capability based upon the formatted business capability attributes (act 406). For example, modeling module 116 can generated business capability model 103 based on (extracted and) formatted capability attributes (e.g. formatted in accordance with schema 300) from business modeling attributes 102. As appropriate, business capability model 103 can include business capabilities, connectors, ports, SLEs, etc. Business capability model 103 can be presented graphically at user-interface 112.
Subsequently to generating business capability model 103, business modeling attributes from other business layers (e.g., business producers, business process flow, business organizational structure etc.) can be re-attached to business capability model 103. Thus, other (potentially less stable) business data can be added back into a business capability model, providing additional views of a corresponding business. In some embodiments, additional models are generated for business model attributes from other business layers. For example, business capability modeler 111 can extract and format business procedure attributes 132 to generate a corresponding business procedure model. These additional models can be attached to or presented along with business capability models, providing additional views of a corresponding business.
Purchase order request capability 501 includes ports 503 and 504 (e.g., modeled based on port data format 324) that can send purchase order requisition 513A and direct order purchase order 514 respectively (e.g., to other business capabilities). Purchase order request capability 501 can include logic that determines, based on one or more of receive employee data 512, product data 516 and produce request 517, whether purchase order requisition 513 and direct order purchase order 514 is to be sent
Embodiments of the present invention can also be used to model a network of business capabilities. A first business capability is modeled based upon formatted business capability attributes. A second business capability is modeled based upon the formatted business capability attributes. A connection between the first business capability and the second capability is modeled based upon the formatted business capability attributes.
Method 700 includes an act of accessing business capability attributes that were extracted from among a received plurality of business modeling attributes corresponding to a business architecture (act 701). Extracted business capability attributes can be extracted from business modeling attributes 102 as previously described, for example, with respect the modules and data in computer architecture 200. For example, attribute formatting module 114 can access business capability attributes 131 (e.g., stored at extracted business modeling attributes 123).
Method 700 includes an act of formatting the accessed business capability attributes in accordance with data formats defined in a structured data model (act 702). For example, attribute formatting module 114 can format business capability attributes 131 in accordance with schemas in data models 121 (e.g., including schema 300). Formatting extracted business capability attributes can include formatting attributes for business capabilities, connections, ports, SLE, etc.
Method 700 includes an act of modeling a business capability network for the business architecture based on the formatted business capability attributes (act 703). For example, modeling module 116 can model a business capability network for the business architecture based on formatted business capability attributes 131. Modeling a network of business capabilities can include modeling business capabilities, connections, ports, SLEs, etc.
Requisition 523 receives purchase order requisition 513A at port 512. Requisition 523 sends purchase order requisition 513A out of port 522 to purchase order submission capability 533. Thus, requisition 523 transfers purchase order requisition 513A from purchase order request capability 501 to purchase order submission capability 533. Accordingly, a connector can be viewed as a capability wherein the capability of the connector is to transfer data between other capabilities.
Purchase order submission capability 533 receives purchase order requisition 513A at port 532. Purchase order submission capability 533 includes other ports, including ports 536, 538, 539, and 541. Each of the ports 536, 538, 539, and 541 can be used to send data to and/or receive data from other capabilities or connectors. More specifically, purchase order submission capability 532 sends purchase order 513B out of port 541 to requisition 543 (a connector). Although similar to purchase order requisition 513A, purchase order requisition 513B can differ from purchase order 513A as a result of processing at purchase order submission capability 532.
Requisition 543 receives purchase order requisition 513B at port 542. Requisition 543 sends purchase order requisition 513B out of port 544 to purchase order review capability 563. Purchase order review capability 563 receives purchase order requisition 513B at port 561. Purchase order review capability 563 includes other ports, including ports 562, 564, and 566. Each of the ports 562, 564, and 566 can be used to send data to and/or receive data from other capabilities or connectors.
Although one-way ports and connectors have been depicted in
A network of business capabilities can also be represented in a manner that abstracts the data exchanged between various business capabilities and connectors in the business capability network. Further, in some embodiments, a network of more granular business capabilities can be used to model a more coarse business capability.
The network of business capabilities in
With reference to
The computer system 620 may also include magnetic hard disk drive 627 for reading from and writing to magnetic hard disk 639, magnetic disk drive 628 for reading from or writing to removable magnetic disk 629, and optical disk drive 630 for reading from or writing to removable optical disk 631, such as, or example, a CD-ROM or other optical media. The magnetic hard disk drive 627, magnetic disk drive 628, and optical disk drive 630 are connected to the system bus 623 by hard disk drive interface 632, magnetic disk drive-interface 633, and optical drive interface 634, respectively. The drives and their associated computer-readable media provide nonvolatile storage of computer-executable instructions, data structures, program modules, and other data for the computer system 620. Although the example environment described herein employs magnetic hard disk 639, removable magnetic disk 629 and removable optical disk 631, other types of computer readable media for storing data can be used, including magnetic cassettes, flash memory cards, digital versatile disks, Bernoulli cartridges, RAMs, ROMs, and the like.
Program code means comprising one or more program modules may be stored on hard disk 639, magnetic disk 629, optical disk 631, ROM 624 or RAM 625, including an operating system 635, one or more application programs 636, other program modules 637, and program data 638. A user may enter commands and information into computer system 620 through keyboard 640, pointing device 642, or other input devices (not shown), such as, for example, a microphone, joy stick, game pad, scanner, or the like. These and other input devices can be connected to the processing unit 621 through input/output interface 646 coupled to system bus 623. Input/output interface 646 logically represents any of a wide variety of different interfaces, such as, for example, a serial port interface, a PS/2 interface, a parallel port interface, a Universal Serial Bus (“USB”) interface, or an Institute of Electrical and Electronics Engineers (“IEEE”) 1394 interface (i.e., a FireWire interface), or may even logically represent a combination of different interfaces.
A monitor 647 or other display device is also connected to system bus 623 via video interface 648. Speakers or other audio output device is also connected to system bus 623 via an audio interface. Other peripheral output devices (not shown), such as, for example, printers, can also be connected to computer system 620.
Computer system 620 is connectable to computer networks, such as, for example, an office-wide or enterprise-wide computer network, a home network, an intranet, and/or the Internet. Computer system 620 can exchange data with external sources, such as, for example, remote computer systems, remote applications, and/or remote databases over such computer networks.
Computer system 620 includes network interface 653, through which computer system 620 receives data from external sources and/or transmits data to external sources. As depicted in
Likewise, computer system 620 includes input/output interface 646, through which computer system 620 receives data from external sources and/or transmits data to external sources. Input/output interface 646 is coupled to modem 654 (e.g., a standard modem, a cable modem, or digital subscriber line (“DSL”) modem), through which computer system 620 receives data from and/or transmits data to external sources. As depicted in
While
In accordance with the present invention, database applications, message applications, and user-interfaces as well as associated data, including schemas, message items, content, attachments, message silos, document silos, and queries may be stored and accessed from any of the computer-readable media associated with computer system 620. For example, portions of such modules and portions of associated program data may be included in operating system 635, application programs 636, program modules 637 and/or program data 638, for storage in system memory 622.
When a mass storage device, such as, for example, magnetic hard disk 639, is coupled to computer system 620, such modules and associated program data may also be stored in the mass storage device. In a computer network environment, program modules depicted relative to computer system 620, or portions thereof, can be stored in remote memory storage devices, such as, system memory and/or mass storage devices associated with remote computer system 683 and/or remote computer system 693. Execution of such modules may be performed in a distributed environment as previously described.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described embodiments are to be considered in all respects only as illustrative and not restrictive. The scope of the invention is, therefore, indicated by the appended claims rather than by the foregoing description. All changes, which come within the meaning and range of equivalency of the claims, are to be embraced within their scope.