A service architecture method

Abstract

The application discloses a kind of service architecture method, belong to information management technical field, including business process asset directory management unit, business domain directory management unit, business process management unit, business object management unit, business strategy management unit, business index management unit, business monitoring alarm management unit, wherein: business process asset directory management unit is used to manage the directory structure of business process;Business process management unit is used to model and record to business process;Business object management unit is used to manage business object, including the attribute of business object, action, responsible person, the limit context of belonging and system;Business strategy management unit is used to manage business strategy;Business index management unit is used to manage business index;Business monitoring alarm management unit is used to manage business monitoring alarm.The service architecture method of the application, enterprise can intuitively and timely understand its operation present situation, can better manage enterprise, so that the operation efficiency of enterprise is maximized.

Description

Technical Field

[0001] This invention relates to the field of information management technology, and in particular to a business architecture method. Background Technology

[0002] In today's corporate management, operations, strategic planning, and business expansion activities, various roles within an enterprise need a comprehensive, multi-faceted, and multi-layered understanding and utilization of the company's existing processes, areas, systems, and personnel divisions of labor. However, in the course of daily operations, this crucial information is often poorly managed, resulting in operational efficiency falling short of expectations.

[0003] Chinese patent CN109377021A discloses a method, system, and related apparatus for constructing a business architecture in an enterprise system. By organizing an event list and using a Data Function Decomposition (DFD) modeling process, it describes the roles involved in the events, the business processes, and the input and output information. It also organizes and characterizes the system data, laying the groundwork for subsequent data architecture development and coding. This allows for good coupling of information from various enterprise application systems, facilitating the operation and management of the enterprise system and achieving effective communication between business and information. However, the aforementioned patent has the following drawbacks: The inability to intuitively and promptly understand the current operational status of the enterprise hinders effective management and prevents the enterprise from maximizing its operational efficiency. Therefore, a business architecture approach is urgently needed to address these shortcomings. Summary of the Invention

[0004] The purpose of this invention is to provide a business architecture method that enables enterprises to intuitively and timely understand their operational status, better manage the enterprise, and maximize the operational efficiency of the enterprise, thereby solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A business architecture method includes a business process asset catalog management unit, a business domain catalog management unit, a business process management unit, a business object management unit, a business strategy management unit, a business metric management unit, and a business monitoring and alarm management unit, wherein: The Business Process Asset Catalog Management Unit is used to manage the catalog structure of business processes, which are divided into a 5-level catalog structure for management. The business domain directory management unit is used to perform structured directory management of the domain to which a business object belongs. A business domain can have a hierarchical structure of 3 levels or more. The business process management unit is used to model and record business processes. A business process includes a flowchart, business objects and actions used in the business process, business strategies used in the business process, related business indicators, process owner, process inputs and outputs, process roles, process-related KPIs, process-related projects, and process-related monitoring and alarms. The business object management unit is used to manage business objects, including the attributes, actions, responsible persons, bounded contexts, and systems to which the business objects belong; The business strategy management unit is used to manage business strategies, including defining and modifying business strategies, managing the association between business objects and business strategies, defining the policy owner, and managing policy permissions. The Business Indicator Management Unit is used to manage business indicators. Business indicators are divided into atomic indicators and derived indicators. Atomic indicators are the most basic business indicator definitions, defined by an attribute on a business object. Derivative indicators are constructed from atomic indicators and through corresponding statistical granularity, statistical period, and limiting conditions. The Business Indicator Management Unit provides management functions such as definition, responsible person, and associated monitoring and alarms for these two types of indicators. The business monitoring and alarm management unit is used to manage business monitoring alarms.

[0006] Furthermore, the method for constructing the business architecture includes the following steps: S1: Confirm the process architecture, outline the processes from L1 to L5, and confirm the process definitions, responsible persons, and KPIs; S2: Organize all actions in the process, define atomic and derived metrics, define the monitoring and alarms corresponding to the metrics, and create a process that associates objects, policies, actions, metrics, and alarms. S3: Organize all business objects in the process, confirm the attributes, methods, bounded contexts and systems of the business objects, define atomic indicators and derived indicators, define the monitoring and alarms corresponding to the indicators, and create the associated process of objects, policies, actions, indicators and alarms. S4: Organize all strategies in the process and create a process that associates objects, strategies, actions, metrics, and alarms; S5: Construct a business process asset catalog based on the objects, strategies, actions, metrics, alarms, and related processes.

[0007] Furthermore, standard process analysis methodologies (such as APQC) are used to analyze and produce the business architecture, breaking down the process into two parts: stable atomic actions and variable strategies. Stable atomic actions are implemented by object methods in the domain layer, while variable strategies are implemented using a strategy platform. Domain-Driven Design (DDD) is used to analyze business objects and produce their related attributes, methods, bounded contexts, and associated systems. Atomic metrics are defined based on actions and their corresponding metrics, such as: loan disbursement (action) + amount (metric). Derived metrics are defined based on atomic metrics combined with the attributes of business objects, such as: heavy assets (asset type of the order) + each funder (funder of the order loan) + loan amount (atomic metric).

[0008] Furthermore, monitoring and alerting of the business architecture includes the following steps: S1: Set rules for abnormal indicators; S2: Set alarm rules; S3: Abnormal production indicators: S4: Obtain the relevant processes, nodes, and business objects for the metrics; S5; Displays nodes with abnormal metrics and alarms in the process, and pushes relevant alarm information to the process manager and node manager; S6: Confirm the abnormal system and push relevant alarm information to the system manager; S7: Once the indicators and alarms return to normal, the process will be displayed normally.

[0009] Furthermore, the set abnormal indicator rule is that the fluctuation of the amount of heavy asset loan in the past five minutes compared with the same time yesterday cannot exceed plus or minus 10%. The set alarm rule is that if the abnormal indicator rule is matched, the year-on-year fluctuation is greater than 10% or less than -10%, an alarm is triggered. The alarm is called to the person in charge of the indicator by telephone. If the alarm does not recover after 10 minutes, the alarm call is escalated to the leader of the person in charge of the indicator.

[0010] Furthermore, the scenario for generating abnormal indicators is that if a system failure of a funding provider causes the loan disbursement process to fail, and the amount of heavy asset loans disbursed in the past five minutes decreases by 30% compared to yesterday, an alarm will be triggered.

[0011] Furthermore, the service monitoring and alarm management unit includes a service request unit, a service storage unit, a service comparison unit, a service execution unit, a monitoring and alarm unit, a time monitoring unit, and a dialing unit. The output of the service request unit is electrically connected to the input of the service execution unit, the output of the service execution unit is electrically connected to the input of the service storage unit, the output of the service storage unit is electrically connected to the input of the service comparison unit, the output of the service comparison unit is electrically connected to the input of the service execution unit, and the output of the service execution unit is electrically connected to the input of the monitoring and alarm unit.

[0012] Furthermore, the business execution unit is connected to the time monitoring unit, the output of the time monitoring unit is electrically connected to the input of the monitoring and alarm unit, and the output of the business execution unit is electrically connected to the input of the dialing unit. The dialing unit can be used to dial the indicator manager or the indicator manager's leader to alarm the indicator manager or the indicator manager's leader.

[0013] Furthermore, the business storage unit stores the amount of heavy asset loans disbursed every minute of the day. This amount is processed through clustering, transformation, frequent itemsets, statistical description, and causal analysis. If the amount of heavy asset loans disbursed every minute is set to x2, x2, x3, x4, and x5, then the average amount of heavy asset loans disbursed over the past five minutes is: Based on the amount of heavy asset loans disbursed per minute and the average amount of heavy asset loans disbursed over the past five minutes, we can obtain: pass The fluctuation in the amount of heavy asset loans can be obtained every five minutes. The larger the value, the greater the data volatility, and the more timely the business monitoring and alarm management unit will manage business monitoring alarms.

[0014] Furthermore, the business data is sorted according to clustering, and the sorted business data is compressed and merged before being stored in the business storage unit. The business execution unit controls the business storage unit to send back the business that triggers the alarm to the enterprise in real time, so that the enterprise can discover the problem in time and make corresponding changes.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. The business architecture method of this invention generates a business architecture by using a standard process analysis methodology (such as APQC), organizes and analyzes the composition of the process, and breaks it down into two parts: stable atomic actions and variable strategies. Stable atomic actions are implemented by object methods in the domain layer, while variable strategies are implemented using a strategy platform. Business objects are analyzed by using the Domain-Driven Design (DDD) method, and the relevant attributes, methods, bounded contexts, and associated systems of the business objects are generated. Atomic indicators are defined based on actions and the corresponding metrics, and derived indicators are defined based on atomic indicators combined with the attributes of the business objects.

[0016] 2. The business architecture method of this invention manages business monitoring alarms through a business monitoring alarm management unit. The alarm rules are set such that if the indicator anomaly rule is matched, and the year-on-year fluctuation is greater than 10% or less than 10%, an alarm is triggered. The alarm is sent to the person in charge of the indicator by telephone. If the alarm is not resolved within 10 minutes, the alarm call is escalated to the leader of the person in charge of the indicator. If the system of a funding party fails, causing the loan disbursement process to fail, and the amount of heavy asset loan disbursement in the past five minutes decreases by 30% compared with yesterday, an alarm will be triggered. This allows enterprises to intuitively and timely understand their operational status, better manage the enterprise, and maximize the efficiency of the enterprise's operations. Attached Figure Description

[0017] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings: Figure 1 This is a block diagram of the business architecture of the present invention; Figure 2 This is a logical relationship diagram of the business architecture of the present invention; Figure 3 This is a flowchart illustrating the construction process of the business architecture of this invention; Figure 4 This is a flowchart illustrating the monitoring and alarm process of the business architecture of this invention. Figure 5 This is a block diagram of the business monitoring and alarm management unit of the business architecture of the present invention; Figure 6 This is a flowchart of the business monitoring and alarm management unit of the business architecture of the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0019] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0020] In this application, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0021] Furthermore, in addition to indicating location or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in some cases to indicate a certain dependency or connection relationship. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0022] In addition, the term "multiple" should mean two or more.

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] See Figures 1-2 A business architecture method includes a business process asset catalog management unit, a business domain catalog management unit, a business process management unit, a business object management unit, a business strategy management unit, a business indicator management unit, and a business monitoring and alarm management unit, wherein: The Business Process Asset Catalog Management Unit is used to manage the catalog structure of business processes, which are divided into a 5-level catalog structure for management. The business domain directory management unit is used to perform structured directory management of the domain to which a business object belongs. A business domain can have a hierarchical structure of 3 levels or more. The business process management unit is used to model and record business processes. A business process includes a flowchart, business objects and actions used in the business process, business strategies used in the business process, related business indicators, process owner, process inputs and outputs, process roles, process-related KPIs, process-related projects, and process-related monitoring and alarms. The business object management unit is used to manage business objects, including the attributes, actions, responsible persons, bounded contexts, and systems to which the business objects belong; The business strategy management unit is used to manage business strategies, including defining and modifying business strategies, managing the association between business objects and business strategies, defining the policy owner, and managing policy permissions. The Business Indicator Management Unit is used to manage business indicators. Business indicators are divided into atomic indicators and derived indicators. Atomic indicators are the most basic business indicator definitions, defined by an attribute on a business object. Derivative indicators are constructed from atomic indicators and through corresponding statistical granularity, statistical period, and limiting conditions. The Business Indicator Management Unit provides management functions such as definition, responsible person, and associated monitoring and alarms for these two types of indicators. The business monitoring and alarm management unit is used to manage business monitoring alarms.

[0025] See Figure 3 The business architecture construction method includes the following steps: S1: Confirm the process architecture, outline the processes from L1 to L5, and confirm the process definitions, responsible persons, and KPIs; S2: Organize all actions in the process, define atomic and derived metrics, define the monitoring and alarms corresponding to the metrics, and create a process that associates objects, policies, actions, metrics, and alarms. S3: Organize all business objects in the process, confirm the attributes, methods, bounded contexts and systems of the business objects, define atomic indicators and derived indicators, define the monitoring and alarms corresponding to the indicators, and create the associated process of objects, policies, actions, indicators and alarms. S4: Organize all strategies in the process and create a process that associates objects, strategies, actions, metrics, and alarms; S5: Construct a business process asset catalog based on the objects, strategies, actions, metrics, alarms, and related processes.

[0026] The business architecture is structured using standard process analysis methodologies (such as APQC), analyzing the composition of the process and breaking it down into stable atomic actions and variable strategies. Stable atomic actions are implemented by object methods in the domain layer, while variable strategies are implemented using a strategy platform. The business objects are analyzed using Domain-Driven Design (DDD), and the relevant attributes, methods, bounded contexts, and associated systems of the business objects are generated. Atomic metrics are defined based on actions and their corresponding metrics, such as: loan disbursement (action) + amount (metric). Derived metrics are defined based on atomic metrics combined with the attributes of the business objects, such as: heavy assets (asset type of the order) + each funder (funder of the order loan) + loan amount (atomic metric).

[0027] See Figure 4 The monitoring and alerting of the business architecture includes the following steps: S1: Set rules for abnormal indicators; S2: Set alarm rules; S3: Abnormal production indicators: S4: Obtain the relevant processes, nodes, and business objects for the metrics; S5; Displays nodes with abnormal metrics and alarms in the process, and pushes relevant alarm information to the process manager and node manager; S6: Confirm the abnormal system and push relevant alarm information to the system manager; S7: Once the indicators and alarms return to normal, the process will be displayed normally.

[0028] The defined abnormal indicator rule is that the fluctuation of the heavy asset loan amount in the past five minutes compared with the same time yesterday cannot exceed ±10%. The defined alarm rule is that if the abnormal indicator rule is matched, and the year-on-year fluctuation is greater than 10% or less than -10%, an alarm will be triggered. The alarm will be sent to the person in charge of the indicator by phone. If the alarm is not resolved within 10 minutes, the alarm call will be escalated to the leader of the person in charge of the indicator. The abnormal indicator will be generated in the following scenario: if the system of a funding party fails, causing the loan process to fail, and the heavy asset loan amount in the past five minutes decreases by 30% compared with yesterday, an alarm will be triggered. This allows the company to intuitively and timely understand its operational status, better manage the company, and maximize the company's operational efficiency.

[0029] See Figures 5-6The business monitoring and alarm management unit includes a business request unit, a business storage unit, a business comparison unit, a business execution unit, a monitoring and alarm unit, a time monitoring unit, and a dialing unit. The output of the business request unit is electrically connected to the input of the business execution unit, the output of the business execution unit is electrically connected to the input of the business storage unit, the output of the business storage unit is electrically connected to the input of the business comparison unit, the output of the business comparison unit is electrically connected to the input of the business execution unit, the output of the business execution unit is electrically connected to the input of the monitoring and alarm unit, the business execution unit is connected to the time monitoring unit, the output of the time monitoring unit is electrically connected to the input of the monitoring and alarm unit, and the output of the business execution unit is electrically connected to the input of the dialing unit. The dialing unit can be used to call the person in charge of the indicator or their supervisor to issue an alarm. The business request unit requests a heavy asset loan amount, and the business comparison unit compares the requested heavy asset loan amount with the heavy asset loan amount at the same time yesterday. If the year-on-year fluctuation is large... An alarm is triggered when the percentage is 10% or less than -10%. The alarm is sent to the person in charge of the indicator by phone. If the alarm is not resolved within 10 minutes, the alarm call is escalated to the leader of the person in charge of the indicator. An abnormal indicator is generated if a system failure of a funding party causes the loan disbursement process to fail, and the amount of heavy asset loan disbursement in the past five minutes decreases by 30% compared to yesterday. This will trigger an alarm, allowing enterprises to intuitively and timely understand their operational status, better manage the enterprise, and maximize operational efficiency. Business data is sorted according to clustering, and the sorted business data is compressed and merged before being stored in the business storage unit. The business execution unit controls the business storage unit to send back the business that triggers the alarm to the enterprise in real time, so that the enterprise can promptly identify problems and make corresponding changes. The business storage unit stores the amount of heavy asset loan disbursement per minute every day. It is processed through clustering, transformation, frequent itemsets, statistical description, and causal analysis. The amount of heavy asset loan disbursement per minute is set as x2, x2, x3, x4, x5. The average amount of heavy asset loan disbursement in the past five minutes is: Based on the amount of heavy asset loans disbursed per minute and the average amount of heavy asset loans disbursed over the past five minutes, we can obtain: pass The fluctuation in the amount of heavy asset loans can be obtained every five minutes. The larger the value, the greater the data volatility, and the more timely the business monitoring and alarm management unit will manage business monitoring alarms.

[0030] In summary, the business architecture method of this invention, by using standard process analysis methodologies (such as APQC) to analyze and generate a business architecture, organizes and analyzes the composition of the process, and breaks it down into two parts: stable atomic actions and variable strategies. Stable atomic actions are implemented by object methods in the domain layer, while variable strategies are implemented using a strategy platform. The method also uses Domain-Driven Design (DDD) to analyze business objects and generate their related attributes, methods, bounded contexts, and associated systems. Atomic metrics are defined based on actions and their corresponding metrics, and derived metrics are defined based on these atomic metrics combined with the attributes of the business objects. The business monitoring and alarm management unit manages business monitoring alarms. The alarm rules are set so that if the indicator anomaly rule is matched, and the year-on-year fluctuation is greater than or less than 10%, an alarm is triggered. The alarm is sent to the person in charge of the indicator by telephone. If the alarm is not resolved within 10 minutes, the alarm call is escalated to the leader of the person in charge of the indicator. If a system failure of a funding party causes the loan disbursement process to fail, and the amount of heavy asset loan disbursement in the past five minutes decreases by 30% year-on-year, an alarm will be triggered. This allows the company to intuitively and timely understand its operational status, better manage the company, and maximize the company's operational efficiency.

[0031] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A business architecture method, characterized in that, This includes the following units: Business Process Asset Catalog Management Unit, Business Domain Catalog Management Unit, Business Process Management Unit, Business Object Management Unit, Business Strategy Management Unit, Business Indicator Management Unit, and Business Monitoring and Alarm Management Unit. The Business Process Asset Catalog Management Unit is used to manage the catalog structure of business processes, which are divided into a 5-level catalog structure for management. The business domain directory management unit is used for structured directory management of the domain to which a business object belongs. The business domain has a hierarchical structure of 3 levels or more. The business process management unit is used to model and record business processes. A business process includes a flowchart, business objects and actions used in the business process, business strategies used in the business process, related business indicators, process owner, process inputs and outputs, process roles, process-related KPIs, process-related projects, and process-related monitoring and alarms. The business object management unit is used to manage business objects, including the attributes, actions, responsible persons, bounded contexts, and systems to which the business objects belong; The business strategy management unit is used to manage business strategies, including defining and modifying business strategies, managing the association between business objects and business strategies, defining the policy owner, and managing policy permissions. The Business Indicator Management Unit is used to manage business indicators. Business indicators are divided into atomic indicators and derived indicators. Atomic indicators are the most basic business indicator definitions, defined by an attribute on a business object. Derivative indicators are constructed from atomic indicators and through corresponding statistical granularity, statistical period, and limiting conditions. The Business Indicator Management Unit provides functions for defining these two types of indicators, assigning responsible persons, and managing associated monitoring and alarms. The business monitoring and alarm management unit is used to manage business monitoring alarms; The method for constructing a business architecture includes the following steps: S1: Confirm the process architecture, outline the processes from L1 to L5, and confirm the process definitions, responsible persons, and KPIs; S2: Organize all actions in the process, define atomic and derived metrics, define the monitoring and alarms corresponding to the metrics, and create a process that associates objects, policies, actions, metrics, and alarms. S3: Organize all business objects in the process, confirm the attributes, methods, bounded contexts and systems of the business objects, define atomic indicators and derived indicators, define the monitoring and alarms corresponding to the indicators, and create the associated process of objects, policies, actions, indicators and alarms. S4: Organize all strategies in the process and create a process that associates objects, strategies, actions, metrics, and alarms; S5: Construct a business process asset catalog based on the created objects, strategies, actions, metrics, alarms, and related processes; The standard process streamlining methodology is used to streamline the business architecture, analyze the composition of the process, and break it down into two parts: stable atomic actions and variable strategies. Stable atomic actions are implemented by object methods in the domain layer, while variable strategies are implemented using a strategy platform. The domain-driven design methodology is used to streamline business objects and generate the relevant attributes, methods, bounded contexts, and associated systems of business objects. Atomic metrics are defined based on actions and the corresponding metrics.

2. The business architecture method as described in claim 1, characterized in that, Monitoring and alerting of the business architecture includes the following steps: S1: Set rules for abnormal indicators; S2: Set alarm rules; S3: Abnormal production indicators; S4: Obtain the relevant processes, nodes, and business objects for the metrics; S5; Displays nodes with abnormal metrics and alarms in the process, and pushes relevant alarm information to the process manager and node manager; S6: Confirm the abnormal system and push relevant alarm information to the system manager; S7: Once the indicators and alarms return to normal, the process will be displayed normally.

3. The business architecture method as described in claim 1, characterized in that, The set abnormal indicator rule is that the fluctuation of the amount of heavy asset loan in the past five minutes compared with the same time yesterday cannot exceed plus or minus 10%. The set alarm rule is that if the abnormal indicator rule is matched, the year-on-year fluctuation is greater than 10% or less than -10%, an alarm is triggered. The alarm is called to the person in charge of the indicator by telephone. If the alarm does not recover after 10 minutes, the alarm call is escalated to the leader of the person in charge of the indicator.

4. The business architecture method as described in claim 1, characterized in that, The scenario for generating abnormal indicators is that if a system failure of a funding provider causes the loan disbursement process to fail, and the amount of heavy asset loans disbursed in the past five minutes decreases by 30% compared to yesterday, an alarm will be triggered.

5. The business architecture method as described in claim 1, characterized in that, The service monitoring and alarm management unit includes a service request unit, a service storage unit, a service comparison unit, a service execution unit, a monitoring and alarm unit, a time monitoring unit, and a dialing unit. The output of the service request unit is electrically connected to the input of the service execution unit, the output of the service execution unit is electrically connected to the input of the service storage unit, the output of the service storage unit is electrically connected to the input of the service comparison unit, the output of the service comparison unit is electrically connected to the input of the service execution unit, and the output of the service execution unit is electrically connected to the input of the monitoring and alarm unit.

6. The business architecture method as described in claim 1, characterized in that, The business execution unit is connected to the time monitoring unit. The output of the time monitoring unit is electrically connected to the input of the monitoring and alarm unit. The output of the business execution unit is electrically connected to the input of the dialing unit. The dialing unit can be used to dial the person in charge of the indicator or their leader to alarm the person in charge of the indicator or their leader.

7. A business architecture method as described in claim 1, characterized in that, The business storage unit stores the amount of heavy asset loans disbursed every minute of the day. This amount is processed through clustering, transformation, frequent itemsets, statistical description, and causal analysis. If the amount of heavy asset loans disbursed every minute is set as x1, x2, x3, x4, and x5, then the average amount of heavy asset loans disbursed over the past five minutes is: Based on the amount of heavy asset loans disbursed per minute and the average amount of heavy asset loans disbursed over the past five minutes, we can obtain: pass The fluctuation in the amount of heavy asset loans can be obtained every five minutes. The larger the value, the greater the data volatility, and the more timely the business monitoring and alarm management unit will manage business monitoring alarms.

8. A business architecture method as described in claim 1, characterized in that, Business data is sorted according to clustering, and the sorted business data is compressed and merged before being stored in the business storage unit. The business execution unit controls the business storage unit to send back the business that triggers an alarm to the enterprise in real time, so that the enterprise can discover the problem in time and make corresponding changes.

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